Stories from the Web Crawling trenches in Python

Web Scraping in Python - The Complete Guide

Author: Mohan Ganesan

Date: Feb 20, 2024

Build robust web crawlers using libraries like BeautifulSoup. Overcome scraping challenges and learn best practices for large scale scraping.

Working with Query Parameters in Python Requests

Author: Mohan Ganesan

Date: Oct 22, 2023

Query parameters are essential for making API calls and web scraping in Python. Learn how to pass and access query parameters using the Requests library.

How to Authenticate with Bearer Tokens in Python Requests

Author: Mohan Ganesan

Date: Feb 3, 2024

Bearer tokens are used for authentication in APIs. This article explains how to make authenticated requests with bearer tokens in Python using the Requests module.

The Complete BeautifulSoup Cheatsheet with Examples

Author: Mohan Ganesan

Date: Oct 4, 2023

This cheatsheet covers the full BeautifulSoup 4 API with practical examples. It provides a comprehensive guide to web scraping and HTML parsing using Python's BeautifulSoup library.

How to Handle Timeout error in Python requests

Author: Mohan Ganesan

Date: Oct 22, 2023

Timeouts are critical for making requests in Python. They prevent hanging requests and wastage of resources. The requests library provides flexible ways to set timeouts globally or per-request.

Downloading Files with Python Requests - Tips, Tricks and Code Example

Author: Mohan Ganesan

Date: Oct 31, 2023

Learn how to use Python Requests to download files from the web with ease. Requests provides a simple API for making HTTP calls, supports advanced features like streaming downloads and authentication, and is actively maintained. Use Requests to download files like a pro!

Python Requests Cheatsheet

Author: Mohan Ganesan

Date: Jan 9, 2024

Overview of Requests, a popular HTTP library for Python. Features include making GET and POST requests, handling response content and headers.

Accessing HTTPS Sites with Self-Signed Certs in Python Requests

Author: Mohan Ganesan

Date: Feb 3, 2024

Methods to securely access HTTPS sites using self-signed certificates with Python Requests: certifi bundle, custom PEM certs, REQUESTS_CA_BUNDLE, SSLContext.

Uploading Images with Python Requests

Author: Mohan Ganesan

Date: Feb 3, 2024

Sending images over HTTP requests is a common task in many Python applications. The Requests library provides a simple API for attaching images and other files to POST requests.

Making Asynchronous HTTP Requests in Python without Waiting for a Response

Author: Mohan Ganesan

Date: Feb 3, 2024

Make asynchronous HTTP requests in Python without blocking using the requests library, asyncio module, or threads/processes.

Fixing “ModuleNotFoundError: No module named ‘requests’” Error in Python

Author: Mohan Ganesan

Date: Oct 22, 2023

The 'ModuleNotFoundError: No module named 'requests'' error occurs when the requests module is not installed or the environment is misconfigured. Follow the steps to install requests, update PYTHONPATH, and use the correct Python version.

Authenticating Python Requests: A Practical Guide to Using Tokens for API Access

Author: Mohan Ganesan

Date: Dec 6, 2023

API tokens are critical for securing web APIs. Learn how to obtain and use tokens for authenticated API calls in Python, and troubleshoot common token-related issues.

How to install urllib in Python?

Author: Mohan Ganesan

Date: Feb 20, 2024

The urllib module in Python allows easy access to internet data and parsing URLs. It is a must-know module for every Python programmer.

Handling 404 Errors when Making HTTP Requests in Python

Author: Mohan Ganesan

Date: Feb 3, 2024

Tips on handling 404 errors gracefully in Python code when making HTTP requests. Check response status code, log and notify, use try-except block.

Expert Techniques for Disabling SSL Certificate Verification in Python Requests

Author: Mohan Ganesan

Date: Oct 31, 2023

Requests is the king of Python libraries for HTTP requests. Learn how to disable SSL certificate verification selectively and securely.

Handling URL Encoding in Python Requests

Author: Mohan Ganesan

Date: Feb 3, 2024

When making HTTP requests in Python using the Requests module, special characters in URLs can cause errors. The solution is to manually URL encode the parameters using quote_plus or the params argument.

Sending Multipart Form Data with Python's urllib

Author: Mohan Ganesan

Date: Feb 8, 2024

Python's urllib library provides tools to handle multipart form data for integrating with web services. Use requests library to simplify sending multipart form data.

Troubleshooting the WinError 10061 with Python Requests

Author: Mohan Ganesan

Date: Feb 3, 2024

Encountering WinError 10061 when using Python's requests module? Check for firewall issues, verify TLS versions, and ensure proper name resolution.

Fetching the Server IP Address with Python Requests

Author: Mohan Ganesan

Date: Feb 3, 2024

Fetch and validate server IPs with Python Requests for monitoring, security, analytics, and troubleshooting purposes.

Making Partial Updates with PATCH Requests in Python

Author: Mohan Ganesan

Date: Nov 17, 2023

PATCH requests allow partial updates to resources via APIs. Python's requests module makes it easy to send PATCH requests and modify specific attributes using JSON patch docs.

Sending Text Data in a POST Request with Python Requests

Author: Mohan Ganesan

Date: Feb 3, 2024

Guide on how to send plain text data in POST requests using Python requests module and setting Content-Type header.

Downloading Files in Python with aiohttp

Author: Mohan Ganesan

Date: Feb 22, 2024

Python's aiohttp library allows for asynchronous and non-blocking downloading of files. It provides a simple API, handles streams efficiently, and supports progress reporting and error handling.

Troubleshooting 403 Errors when Web Scraping in Python Requests

Author: Mohan Ganesan

Date: Dec 6, 2023

Learn how to troubleshoot and prevent 403 Forbidden errors in web scraping. Understand common causes, diagnose the root cause, and implement solutions using Python. Use techniques like retrying requests, analyzing HTTP traffic, simplifying requests, and verifying authentication. Prevent future errors by using proxies, randomizing user agents, solving CAPTCHAs, and throttling requests. Consider using a professional proxy service like Proxies API for large-scale scraping.

Sending Multipart Form Data with Python Requests

Author: Mohan Ganesan

Date: Feb 3, 2024

When building web applications in Python, you may need to send multipart form data in an HTTP request. Here are some troubleshooting tips for sending multipart form data with Requests.

Caching in Python

Author: Mohan Ganesan

Date: Dec 6, 2023

Learn how to cache API responses in Python to improve performance. Caching reduces API requests, improves speed, and lowers costs.

A Beginner's Guide to Uploading Files with Python Requests

Author: Mohan Ganesan

Date: Oct 31, 2023

Requests is a Python library for making HTTP requests, including file uploads. It simplifies the process and provides features like automatic JSON encoding and decoding. This guide walks through the steps for uploading single and multiple files, as well as additional options and error handling.

Accessing URLs Requiring Authentication with Python's urllib

Author: Mohan Ganesan

Date: Feb 6, 2024

Python's urllib module provides a simple way to supply credentials and access protected resources. It handles basic auth automatically and can be used for accessing APIs, pulling reports, and scraping data from websites.

Speeding up Python Requests using gzip and other techniques

Author: Mohan Ganesan

Date: Dec 6, 2023

Speed Up Slow requests.get() Calls in Python

Author: Mohan Ganesan

Date: Feb 3, 2024

If you're using Python's requests library, check for network issues, increase timeout value, use asynchronous requests, and optimize slow APIs for better performance.

How to Find Free Proxies & Rotate Them with Python

Author: Mohan Ganesan

Date: Oct 4, 2023

Web scraping with proxies in Python to avoid getting blocked and rotate IP addresses for successful scraping.

Getting Started with HTTPX in Python: Practical Examples and Usage Tips

Author: Mohan Ganesan

Date: Feb 5, 2024

HTTPX is a powerful Python HTTP client that makes API calls, handles authentication, timeouts, and more. Easily make GET and POST requests, handle JSON, forms, files, and headers. Supports async requests and session reuse for optimal performance.

Handling HTTP Status Codes with Python Requests

Author: Mohan Ganesan

Date: Feb 3, 2024

When making HTTP requests in Python, it's important to check the status code of the response. The requests library makes this easy, allowing you to handle success and error codes correctly.

How to fix MissingSchema error in Python requests

Author: Mohan Ganesan

Date: Oct 22, 2023

The MissingSchema error occurs when making a request to a URL without specifying the protocol. This article explains the causes of the error and provides various ways to fix and handle it properly.

Accessing OAuth2 APIs with Python Requests

Author: Mohan Ganesan

Date: Feb 3, 2024

Python's Requests library provides an easy way to handle OAuth2 authentication and access protected resources from an API. It covers obtaining and refreshing access tokens programmatically.

Making Concurrent Requests in Python: A Programmer's Guide

Author: Mohan Ganesan

Date: Nov 18, 2023

Handling multiple API calls and web scraping concurrently is critical for Python developers. This guide explores techniques for performant concurrent requests in Python.

Bypassing Captcha with Selenium and Anti-Captcha Services

Author: Mohan Ganesan

Date: Oct 4, 2023

Learn how to bypass captcha challenges using Python, Selenium, and Anti-Captcha services. Retrieve the captcha site key, configure the anti-captcha client, solve the captcha, and submit the form. Simplify automation with Proxies API.

Mastering Sessions Cookies with Python Requests

Author: Mohan Ganesan

Date: Oct 22, 2023

Cookies and sessions are essential for effective web scraping. Python's Requests library makes it easy to leverage sessions and cookies for robust scraping. Learn how to create a session, persist cookies, set custom cookies, and more. By mastering session techniques, you can scrape complex sites requiring authentication and state management.

Introduction to Web Scraping with BeautifulSoup

Author: Mohan Ganesan

Date: Oct 6, 2023

Web scraping is the process of extracting data from websites through an automated procedure. Beautiful Soup is a Python library designed specifically for web scraping purposes. It provides parsing and navigation tools for extracting data from HTML and XML documents.

Making Concurrent Requests with aiohttp in Python

Author: Mohan Ganesan

Date: Mar 3, 2024

When building applications with aiohttp in Python, it's common to need to make multiple requests concurrently rather than sequentially. Use asyncio.gather, reuse session, and avoid limits with asyncio.Semaphore for better performance.

Sending POST Requests with Python's urllib

Author: Mohan Ganesan

Date: Feb 6, 2024

The urllib module in Python provides functionality for sending HTTP POST requests to web servers and handling responses.

Sending JSON vs Form Data in Python Requests

Author: Mohan Ganesan

Date: Feb 3, 2024

When making HTTP requests in Python using the requests module, you can send request bodies in different formats like JSON or form-urlencoded data.

Making HTTP Requests in Python Without Caching

Author: Mohan Ganesan

Date: Feb 3, 2024

Python requests caching can be disabled by controlling headers, using sessions, or cache busting - useful for testing APIs or development.

The Complete Python HTML Parser Cheatsheet

Author: Mohan Ganesan

Date: Jan 9, 2024

The Python HTML parser allows you to parse HTML and XML documents and extract data. This article provides a comprehensive guide on how to use the parser effectively.

Fixing Memory Leaks in Python requests

Author: Mohan Ganesan

Date: Feb 3, 2024

Python's requests library makes sending HTTP requests simple and convenient, but developers often face memory leaks. Closing connections and following best practices can prevent this issue.

Making HTTP Requests in Python Without SSL Verification

Author: Mohan Ganesan

Date: Feb 3, 2024

Disable SSL verification for Python requests to improve flexibility and control, but be cautious as it reduces security.

Sending String Data in Request Body with Python Requests

Author: Mohan Ganesan

Date: Feb 3, 2024

Learn how to send string data in the request body with Python requests library for making HTTP requests.

Combining AsyncIO and Multiprocessing in Python

Author: Mohan Ganesan

Date: Mar 17, 2024

Python's asyncio library and multiprocessing module can be combined for improved resource utilization and cleaner code. Data passing between the two requires caution.

Why is Python Multithreading Slow and How to Speed It Up

Author: Mohan Ganesan

Date: Mar 17, 2024

Multithreading in Python seems slower due to the Global Interpreter Lock (GIL). Workarounds include multiprocessing for CPU-bound tasks and multithreading for I/O-bound tasks. External C/C++ libraries and newer Python versions also improve parallelism.

Parsing JSON Responses from APIs in Python Requests

Author: Mohan Ganesan

Date: Feb 3, 2024

When working with APIs in Python, use response.json() to parse JSON data. Handle invalid JSON gracefully and check status codes and Content-Type before parsing.

Troubleshooting "python requests not recognized by pylance"

Author: Mohan Ganesan

Date: Feb 3, 2024

Resolve 'requests is not accessed' error in Visual Studio Code when working with Python by checking Pylance installation, Python interpreter, and remote stub downloads.

The Redirect Ninja's Guide to Mastering Python Requests

Author: Mohan Ganesan

Date: Oct 31, 2023

Learn how to handle redirects in web scraping using Python's Requests module. Master techniques like sessions, custom redirect handlers, and inspecting redirects.

Streaming Uploads in Python Requests using File-Like Objects

Author: Mohan Ganesan

Date: Feb 3, 2024

Efficiently upload large binary data in Python Requests using file-like objects and streaming uploads.

Easy Guide to Installing urllib in Python

Author: Mohan Ganesan

Date: Feb 6, 2024

The urllib module in Python allows you to open and read URLs. It is included in the Python standard library and works with Python 2.7.9+ and Python 3.4+. Import urllib.request to use it. Use urlopen() to make GET requests.

Secure HTTP Requests in Python with aiohttp ClientSession SSL

Author: Mohan Ganesan

Date: Feb 22, 2024

Making secure HTTPS requests in Python simplified with aiohttp ClientSession SSL functionality.

Logging and Debugging with Requests

Author: Mohan Ganesan

Date: Oct 22, 2023

Guide to enable detailed logging and debugging with Requests library in Python for HTTP requests using urllib3 and http.client.

Using Python and Wget for Web Scraping

Author: Mohan Ganesan

Date: Jan 9, 2024

Wget is a powerful command-line utility for downloading content from the web. This article explores how to use Wget in Python scripts, either through the Wget module or by calling the Wget command via subprocess. Wget offers features like recursive downloading, resuming broken downloads, customizing user agent strings, speed throttling options, and flexible filtering. Python's subprocess module allows for more configurability, but introduces more complexity. Overall, Python and Wget are a great combination for web scraping and automation tasks.

Downloading Binary Files with Python Requests

Author: Mohan Ganesan

Date: Feb 3, 2024

Python's requests module makes it easy to download binary files from the internet. Learn how to stream the download and display a progress bar for efficient downloading.

Passing Parameters in aiohttp Requests

Author: Mohan Ganesan

Date: Feb 22, 2024

Pass parameters in Python aiohttp requests using query string, form parameters, or JSON data to modify the response.

Making HTTP POST Requests with Httpx in Python

Author: Mohan Ganesan

Date: Feb 5, 2024

Httpx library in Python provides a modern and intuitive HTTP client for making POST requests to APIs and web services. It handles request headers, form data, timeouts, retries, and more.

Encoding URLs with Python's urllib

Author: Mohan Ganesan

Date: Feb 6, 2024

Python's urllib library provides a simple way to encode special characters and spaces in URLs using urlencode.

Python's URL Handling Libraries compared - urllib vs requests

Author: Mohan Ganesan

Date: Nov 17, 2023

Python's URL handling libraries have evolved over time, from urllib to urllib2 to urllib3 and finally to requests. Each library offers different features and capabilities, making it important to choose the right one for your needs.

Web Scraping with Python & ChatGPT

Author: Mohan Ganesan

Date: Sep 25, 2023

Web scraping is the process of extracting data from websites. Python and ChatGPT can assist in web scraping tasks. Popular libraries include Beautiful Soup, Scrapy, Selenium, and Requests.

Reading CSV Files with Python's urllib

Author: Mohan Ganesan

Date: Feb 8, 2024

CSV files can be easily downloaded and parsed using Python's urllib module. It is useful for data analysis, data integration, and streaming large CSV files.

Passing Data in URLs with urllib Query Parameters in Python

Author: Mohan Ganesan

Date: Feb 8, 2024

Pass data through URLs using query parameters in Python's urllib module for HTTP requests.

import aiohttp modulenotfounderror: no module named 'aiohttp'

Author: Mohan Ganesan

Date: Feb 22, 2024

When working with Python, you may encounter an error when importing the aiohttp module. This article provides solutions to fix the import error.

Handling Errors Gracefully with Asyncio Retries

Author: Mohan Ganesan

Date: Mar 25, 2024

Implementing resilient retry logic in Asyncio apps using Python to handle transient errors and maintain availability.

Making Async HTTP Requests in Python

Author: Mohan Ganesan

Date: Feb 3, 2024

Python's requests library makes it easy to make synchronous HTTP requests in your code. But in async environments, like asyncio, you'll want to use an async HTTP client instead.

Persisting Sessions with Httpx in Python

Author: Mohan Ganesan

Date: Feb 5, 2024

Guide on utilizing Httpx's session support to maintain state and persist cookies across multiple requests in Python.

Making Secure HTTP Requests in Python

Author: Mohan Ganesan

Date: Feb 3, 2024

Python requests library makes HTTPS requests simple and secure, providing easy syntax, encryption, validation, and access to response data.

Handling URL Errors Gracefully in Python urllib

Author: Mohan Ganesan

Date: Feb 6, 2024

Handle errors when working with URLs in Python using the urllib module. Catch HTTPError and URLError exceptions, and apply targeted handling and retries where applicable.

Scraping eBay Listings with Python and BeautifulSoup in 2023

Author: Mohan Ganesan

Date: Oct 5, 2023

eBay is a large online marketplace. This tutorial shows how to scrape and extract data from eBay listings using Python and BeautifulSoup.

Troubleshooting aiohttp ServerDisconnectedError

Author: Mohan Ganesan

Date: Feb 22, 2024

If you're using Python's aiohttp library for asynchronous HTTP requests and getting ServerDisconnectedErrors, here are some troubleshooting tips to handle the response inside the context manager and check for connectivity issues.

What is the fastest XML parser in Python?

Author: Mohan Ganesan

Date: Feb 5, 2024

Choosing the right XML parsing library is crucial for performance. lxml is the fastest option, taking only 0.35 seconds compared to over 2 seconds with xml.etree.ElementTree. It's well worth the extra setup.

Chromedriver Executable Needs to be in Path? - Solved

Author: Mohan Ganesan

Date: Jan 9, 2024

Learn how to install and configure Chromedriver for Selenium automation in Python, and avoid the 'chromedriver executable needs to be in PATH' error.

Bypassing Cloudflare Error with Python

Author: Mohan Ganesan

Date: Oct 4, 2023

Learn how to bypass Cloudflare bot protection using undetected-chromedriver in Python. Scraping Cloudflare-protected sites made easy with this tool.

Python Requests: Retry Failed Requests in 2023

Author: Mohan Ganesan

Date: Oct 22, 2023

Handling failed requests is critical in Python. Learn how to retry failed requests using the Requests library for improved reliability.

Formatting HTML with BeautifulSoup's prettify()

Author: Mohan Ganesan

Date: Oct 6, 2023

The prettify() method in BeautifulSoup is used for formatting and printing HTML in a more readable way, making it easier to debug and visually inspect during web scraping.

Handling Timeouts Gracefully with aiohttp in Python

Author: Mohan Ganesan

Date: Feb 22, 2024

When building asynchronous web applications and APIs in Python with aiohttp, properly handling timeouts is essential. Use ClientTimeout to configure request timeouts and wrap requests in try/except blocks to catch ClientTimeout. Configure global timeout on aiohttp servers with timeout parameter.

Downloading ZIP Files with aiohttp in Python

Author: Mohan Ganesan

Date: Feb 22, 2024

aiohttp is a Python library for asynchronous HTTP clients and servers. It allows for streaming ZIP file downloads in web applications and APIs.

Getting HTTP Requests Working in AWS Lambda with the Requests Library

Author: Mohan Ganesan

Date: Feb 3, 2024

When building AWS Lambda functions in Python, developers often run into issues with the Requests library. This guide covers common problems and solutions for using Requests in Lambda.

Passing Parameters in URLs with Python's urllib

Author: Mohan Ganesan

Date: Feb 8, 2024

Construct URL requests in Python using urllib module to pass parameters and handle encoding. GET requests use parameters in the URL, while POST requests use the request body.

Working with JSON Data in Python using urllib

Author: Mohan Ganesan

Date: Feb 6, 2024

Python's urllib module provides tools for fetching and parsing JSON data from web APIs, allowing for error handling and traversal of nested data.

Setting Cookies Early with aiohttp Requests

Author: Mohan Ganesan

Date: Feb 22, 2024

Set cookies early in aiohttp requests to ensure proper inclusion and prevent unexpected errors or login pages.

Splitting URLs for Effective Parsing with Python's urllib

Author: Mohan Ganesan

Date: Feb 8, 2024

When working with URLs in Python, it's often useful to split a URL string into its individual components. The urllib module provides tools to accomplish this via the urllib.parse.urlsplit() function.

Decoding URL Responses with Python's urllib

Author: Mohan Ganesan

Date: Feb 8, 2024

Convert between bytes and strings in Python's urllib module using encode() and decode(). Specify correct encoding to avoid errors.

Handling Errors with aiohttp ClientResponseError

Author: Mohan Ganesan

Date: Feb 22, 2024

Handle aiohttp ClientResponseError in Python for robust and user-friendly applications.

Fetching News Articles with the Google News API and Python

Author: Mohan Ganesan

Date: Feb 3, 2024

The Google News API allows you to programmatically search for and retrieve recent news articles on any topic using Python.

Making Fast Parallel Requests with Asyncio

Author: Mohan Ganesan

Date: Feb 3, 2024

Asyncio is a powerful Python library for performing asynchronous I/O operations and running multiple tasks concurrently. It allows creating asynchronous code that executes out of order while waiting on long-running operations like network requests.

What is the difference between Python ElementTree and BeautifulSoup?

Author: Mohan Ganesan

Date: Feb 5, 2024

ElementTree is best for working with valid XML documents, while BeautifulSoup is designed for parsing potentially malformed real-world HTML.

Extracting URLs from Text in Python

Author: Mohan Ganesan

Date: Feb 20, 2024

When working with text data in Python, you can use regular expressions and the urllib module to detect and validate URLs. This article provides examples and tips for effectively detecting links in text.

Controlling HTTP Requests with urllib Headers

Author: Mohan Ganesan

Date: Feb 6, 2024

The Python urllib module provides a powerful way to make HTTP requests in your code. Headers allow you to specify important metadata about the request, like the user agent, authentication credentials, caching settings, and more.

Retrieving and Parsing Text from URLs with Python's urllib

Author: Mohan Ganesan

Date: Feb 8, 2024

The urllib module in Python provides tools for retrieving and parsing content from URLs. It can fetch text content, parse HTML and JSON, and handle errors.

Sending GET Requests with Python Requests using Postman

Author: Mohan Ganesan

Date: Feb 3, 2024

Postman is a popular API testing tool that allows you to easily make HTTP requests. This article explains how to make a simple GET request using Python's requests library and Postman, and how to process the JSON response.

Python requests vs urllib

Author: Mohan Ganesan

Date: Feb 6, 2024

Python provides two modules for making HTTP requests: requests and urllib. Requests simplifies HTTP calls while urllib provides more flexibility.

Encoding URLs with urllib quote

Author: Mohan Ganesan

Date: Feb 6, 2024

Python's urllib.parse.quote() function is essential for constructing URLs with special characters, ensuring proper processing on the server side.

Efficiently Sending Files with aiohttp in Python

Author: Mohan Ganesan

Date: Mar 3, 2024

Sending files over the network asynchronously in Python using aiohttp library for efficient file transfers.

urllib certificate verify failed

Author: Mohan Ganesan

Date: Feb 6, 2024

urllib in Python may encounter SSL certificate verification errors. Try checking for expired certificates, disabling certificate verification, updating certificates, and using certificate pinning.

What is the difference between Httplib and Urllib?

Author: Mohan Ganesan

Date: Feb 20, 2024

Python code can make HTTP requests using urllib and httplib libraries. urllib is simpler and part of the standard library, while httplib provides more control and is suitable for advanced cases.

Sending POST Data with HTTPX in Python

Author: Mohan Ganesan

Date: Feb 5, 2024

HTTPX is a popular Python library for making HTTP requests. This guide explains how to properly structure and send POST data with HTTPX.

Simplify OAuth Authentication in Python with httpx-oauth

Author: Mohan Ganesan

Date: Feb 5, 2024

Authenticating with OAuth in Python can be tedious. httpx-oauth simplifies the process by providing a unified API for different OAuth providers and handling token management, refreshing, and storage.

Automating Downloads in Python with urllib and wget

Author: Mohan Ganesan

Date: Feb 8, 2024

Python provides modules like urllib and wget for programmatically downloading files and web content. urllib is part of Python's standard library and provides more control, while wget is a feature-rich command line tool with advanced capabilities. Both can be used together for different downloading tasks.

TLS Support in Python's urllib3

Author: Mohan Ganesan

Date: Feb 8, 2024

urllib3 library supports TLS v1.2 and TLS v1.3 by default, ensuring secure connections in Python. Beware of outdated TLS versions and upgrade urllib3 for security.

Accessing Specific Paths with the Python Requests Library

Author: Mohan Ganesan

Date: Feb 3, 2024

Making HTTP requests in Python and accessing specific paths on a server using the Requests library and URL encoding.

Properly Closing aiohttp Clients and Sessions

Author: Mohan Ganesan

Date: Mar 3, 2024

Properly close aiohttp ClientSession and connections to avoid resource leaks and TCP connection leaks over time.

What is PoolManager in urllib3?

Author: Mohan Ganesan

Date: Feb 20, 2024

Simplifying HTTP requests with PoolManager in Python. PoolManager manages a pool of connections for reusing, improving performance. Customize pool behavior for better resource usage.

Why Your Python Requests Timeout May Not Be Timing Out As Expected

Author: Mohan Ganesan

Date: Feb 3, 2024

When using the requests library in Python, you can specify a timeout value to prevent your code from hanging indefinitely if a request gets stuck.

Making Async HTTP Requests in Python with requests and asyncio

Author: Mohan Ganesan

Date: Feb 3, 2024

Python requests library provides API for HTTP requests. asyncio and aiohttp enable non-blocking requests. grequests uses asyncio for concurrent requests. asyncio is efficient for I/O heavy work.

Simplifying HTTP Requests in Python: Urllib vs. Requests

Author: Mohan Ganesan

Date: Feb 8, 2024

When working with HTTP requests in Python, you have two options: urllib or requests. urllib is low-level but built-in, while requests is simple and intuitive. Use requests for typical tasks and urllib for fine-grained control.

Setting Cookies in aiohttp Requests

Author: Mohan Ganesan

Date: Mar 3, 2024

Set cookies in Python aiohttp requests to handle sessions, authorization, or preferences. aiohttp seamlessly handles cookies for easy automation and scripting.

Troubleshooting Python Requests Get When Webpage Isn't Loading

Author: Mohan Ganesan

Date: Feb 3, 2024

When using Python's Requests library to load a webpage, troubleshoot by checking the URL, status code, response headers.

Managing Cookies in aiohttp for Effective Web Scraping

Author: Mohan Ganesan

Date: Mar 3, 2024

Properly managing cookies is essential for robust and efficient web scraping with Python aiohttp library. Take control of cookie persistence, security settings, and expiration to build robust crawlers.

Handling HTTP Response Codes with Python's urllib

Author: Mohan Ganesan

Date: Feb 8, 2024

Check HTTP response codes in Python using urllib. Get the response code and reason phrase to understand the outcome of web requests.

Unlocking Async Performance with Asyncio Redis

Author: Mohan Ganesan

Date: Mar 25, 2024

Redis is a popular in-memory data store known for its speed and versatility. By combining Redis with Python's asyncio module, you can build extremely fast and scalable applications.

Troubleshooting "ModuleNotFoundError: No module named 'requests'"

Author: Mohan Ganesan

Date: Feb 3, 2024

Frustrated with ModuleNotFoundError when importing requests in Python? Check installation, Python version, virtual environments, module name conflicts, and Python path.

Speed Up Your Python Web Requests: Requests vs. Urllib

Author: Mohan Ganesan

Date: Feb 3, 2024

Python's requests library provides a fast and simple interface for making HTTP requests, offering better performance than urllib for most use cases.

Making Asynchronous HTTP Requests in Python with aiohttp Connectors

Author: Mohan Ganesan

Date: Feb 22, 2024

The aiohttp library provides a powerful tool for making asynchronous HTTP requests in Python. The aiohttp.TCPConnector manages connection pooling and reuse, allowing for improved performance and optimization of HTTP clients and services.

Making the Most of Proxies in aiohttp for Python

Author: Mohan Ganesan

Date: Feb 22, 2024

Learn how to use proxies with the aiohttp library in Python for privacy, geographic access, load balancing, and scraping.

Properly Encode URLs in Python Requests with urllib

Author: Mohan Ganesan

Date: Feb 20, 2024

Properly encode URLs in Python using urllib to handle special characters, ensuring reliable transmission of HTTP requests.

Running Asyncio Web Apps with aiohttp in Docker

Author: Mohan Ganesan

Date: Mar 3, 2024

Dockerizing aiohttp web apps requires the right base image, dependencies, and config. Limit workers, use dynamic ports, and handle graceful shutdowns.

Processing JSON Requests with aiohttp in Python

Author: Mohan Ganesan

Date: Mar 3, 2024

Handle JSON data in Python's aiohttp library for web APIs and services. Use request.json() for parsing and validate with JSON schemas.

Connecting to MQTT with Python's asyncio

Author: Mohan Ganesan

Date: Mar 25, 2024

MQTT is a lightweight messaging protocol used in IoT and mobile applications. Python's asyncio module makes it easy to handle MQTT subscriptions and publications asynchronously without blocking the main thread.

Troubleshooting "ImportError: No module named requests" in Python

Author: Mohan Ganesan

Date: Feb 3, 2024

When working with Python, you may encounter the error ImportError: No module named requests. Here are some troubleshooting tips to resolve this issue.

Loading HTML Files into BeautifulSoup for Web Scraping

Author: Mohan Ganesan

Date: Oct 6, 2023

BeautifulSoup makes it straightforward to load HTML for parsing and extraction. Use Python's built-in html.parser or choose others like lxml or html5lib. Selenium may be needed for dynamic pages.

Speed Up Your Website: Measuring Page Load Times in Python

Author: Mohan Ganesan

Date: Feb 3, 2024

Measure page load times in Python using the requests module to provide a good user experience. Fetch a webpage and calculate the duration it takes to fully load.

Using aiohttp for Easy and Powerful Reverse Proxying in Python

Author: Mohan Ganesan

Date: Mar 3, 2024

Reverse proxying with aiohttp in Python allows for load balancing, caching, security, and more. ProxyResolver and ProxyConnector provide customization options.

Making Asynchronous Code Synchronous in aiohttp

Author: Mohan Ganesan

Date: Feb 22, 2024

The aiohttp library in Python allows for asynchronous HTTP requests. This article covers techniques to integrate aiohttp with synchronous code or external libraries, including using run_in_executor(), asyncio.to_thread(), running an event loop in a thread, and the nest_asyncio decorator.

URL Parsing in Python with urllib.parse

Author: Mohan Ganesan

Date: Feb 6, 2024

Understanding and manipulating URLs is crucial for Python web programming. The urllib.parse module provides functions for parsing, composing, and manipulating URLs in Python.

Making HTTPS Requests in Python with Requests and Certifi

Author: Mohan Ganesan

Date: Feb 3, 2024

When making HTTPS requests in Python, it's important to have SSL/TLS certificate verification enabled to ensure secure connections.

Does asyncio use multiple cores python ?

Author: Mohan Ganesan

Date: Mar 17, 2024

Python's asyncio module enables concurrency within a single thread, but not parallelism across multiple threads or processes. However, by utilizing multiprocessing or multithreading, we can achieve true parallelism.

Making HTTP PUT Requests in Python

Author: Mohan Ganesan

Date: Feb 3, 2024

HTTP PUT method is used to update resources on a server. Python and requests library make it easy to make PUT requests and upload data.

Sending HTTP Requests in Python: Request vs Requests

Author: Mohan Ganesan

Date: Feb 3, 2024

Python applications often require HTTP requests. The request library is built-in, while requests is a more powerful third-party library that simplifies the process.

Making Python Requests Without Timeout

Author: Mohan Ganesan

Date: Feb 3, 2024

When making HTTP requests in Python using the requests library, timeouts are set by default. However, sometimes you may want to remove the timeout to let long requests run to completion.

Debugging Empty Responses from HTTP Requests in Python

Author: Mohan Ganesan

Date: Feb 3, 2024

Frustrated with empty response bodies in Python HTTP requests? Check response body format, content encoding, decode response bytes, log full response details, test in Postman.

How to write URL in Python?

Author: Mohan Ganesan

Date: Feb 8, 2024

Best practices for handling URLs in Python for web applications, APIs, and scraping websites.

Making Reverse DNS Lookups in Python with aiohttp

Author: Mohan Ganesan

Date: Mar 3, 2024

Perform reverse DNS lookups in Python using aiohttp for asynchronous requests and handle potential pitfalls.

Troubleshooting Python Requests Returning HTML Instead of JSON

Author: Mohan Ganesan

Date: Feb 3, 2024

When working with APIs in Python, it is important to handle authentication, set the Accept header, and monitor for HTML responses to ensure JSON data is returned.

Automating Web Interactions in Python with Requests

Author: Mohan Ganesan

Date: Feb 3, 2024

Automate web interactions with Python Requests library. Easily submit forms, scrape data, and click buttons programmatically.

Asyncio task exception handling

Author: Mohan Ganesan

Date: Mar 25, 2024

Asynchronous programming with asyncio in Python has advantages and challenges. Proper exception handling is key to creating robust asyncio code.

Which is the best Python library for sending SOAP requests

Author: Mohan Ganesan

Date: Feb 3, 2024

The zeep library is the easiest way to make SOAP requests in Python. It handles all the underlying SOAP plumbing for you.

异步爬虫:使用 aiohttp 提高 Python 爬虫性能

Author: Mohan Ganesan

Date: Mar 3, 2024

Python的requests库提供了一个简单方便的HTTP客户端,非常适合编写爬虫。但是requests使用同步IO,这意味着它在等待响应时会阻塞线程。对于IO密集型的爬虫应用来说,这会大大降低性能。aiohttp库使用了异步IO,可以在等待响应的同时继续执行其他任务,从而大大提高了爬虫的效率。本文将介绍如何使用aiohttp来编写高性能的异步爬虫。

Building Asynchronous APIs with aiohttp and Queue

Author: Mohan Ganesan

Date: Mar 3, 2024

Asynchronous programming with aiohttp and queues in Python enables efficient web development and API creation.

Troubleshooting requests.exceptions.ConnectionError in Python

Author: Mohan Ganesan

Date: Feb 3, 2024

Occasionally encounter requests.exceptions.ConnectionError in Python when making HTTP requests. Check internet connectivity, retry the request, and verify the URL.

Parsing HTML Tables with BeautifulSoup

Author: Mohan Ganesan

Date: Oct 6, 2023

BeautifulSoup is a useful library for extracting data from HTML tables in Python. With a few simple lines of code, you can parse an HTML table and convert it into a pandas DataFrame for further analysis.

Handling Failed Requests in Python: Techniques for Resilience

Author: Mohan Ganesan

Date: Feb 3, 2024

Best practices for handling failed requests in Python: use try/except blocks, implement exponential backoff for retries, and use a circuit breaker pattern.

Fetching Images Asynchronously with aiohttp in Python

Author: Mohan Ganesan

Date: Mar 3, 2024

Building web applications in Python with aiohttp for efficient asynchronous requests, including image downloading, streaming responses, and error handling.

Does asyncio use multiple cores?

Author: Mohan Ganesan

Date: Mar 24, 2024

Asyncio enables concurrency, but not parallelism by default. You can achieve parallelism by integrating thread pools and process pools.

Fixing the "ImportError: No Module Named aiohttp" Error in Python

Author: Mohan Ganesan

Date: Mar 3, 2024

ImportError: No module named aiohttp. Common causes: aiohttp module not installed, virtual environment without aiohttp, module name spelling, conflict with asyncio module.

Does asyncio run in parallel python ?

Author: Mohan Ganesan

Date: Mar 17, 2024

Python's asyncio module enables concurrency, not parallelism, by using coroutines and an event loop.

Beautiful Soup Installation

Author: Mohan Ganesan

Date: Oct 6, 2023

Python library Beautiful Soup is a popular tool for web scraping. Install it using pip in a virtual environment and manage dependencies for proper setup.

How do I scrape Google cache?

Author: Mohan Ganesan

Date: Feb 20, 2024

Search engine caches like Google Cache provide a useful way to access web pages. Web scraping can help access and preserve these cached copies.

Is Lxml better than BeautifulSoup?

Author: Mohan Ganesan

Date: Feb 5, 2024

Web scrapers extract data from websites using parser libraries like lxml and BeautifulSoup. lxml is faster and more valid, while BeautifulSoup is more convenient and resilient.

Fetching Content with aiohttp in Python

Author: Mohan Ganesan

Date: Mar 3, 2024

The aiohttp library is a powerful tool for making asynchronous HTTP requests in Python. This guide demonstrates practical examples of using aiohttp to fetch content, handle errors, set request headers, post form data, stream response content, configure timeouts, and provides practical tips for working with aiohttp.

Downloading Images from URLs in Python

Author: Mohan Ganesan

Date: May 5, 2024

Learn five different ways to download images from URLs using Python: urllib.request, requests, urllib3, wget, and PyCURL.

Troubleshooting Stale Data in Python Requests

Author: Mohan Ganesan

Date: Feb 3, 2024

Check for client-side caching in requests and disable. Ensure server is not caching responses. Use sessions for APIs that require statefulness.

Running multiple asyncio tasks

Author: Mohan Ganesan

Date: Mar 25, 2024

When writing async code in Python, asyncio provides two methods for running async tasks in parallel: asyncio.gather() and asyncio.create_task(). gather() bundles tasks and waits for them, while create_task() schedules background work.

Speed Up HTTP Requests: When to Use http.client over requests

Author: Mohan Ganesan

Date: Feb 3, 2024

Python offers options for HTTP requests with http.client and requests. http.client is faster for simple requests, while requests is more feature-rich. Use http.client for speed and requests for complex applications.

What are the 3 parts to a URL in Python?

Author: Mohan Ganesan

Date: Feb 20, 2024

Understanding URLs is key for web development in Python. URLs have three main components: protocol, domain name, and path. Python provides modules for working with URLs.

Handling Errors Gracefully with Asyncio Exceptions

Author: Mohan Ganesan

Date: Mar 25, 2024

Asyncio provides an asynchronous programming framework in Python for non-blocking I/O code. Exception handling in asyncio requires special care, including handling CancelledError and propagating exceptions from tasks.

Persisting Cookies from Initial Request in Python Requests

Author: Mohan Ganesan

Date: Feb 3, 2024

Save and re-use cookies in Python requests. Use cookies for session state and authentication. Save cookies to variable or use a session for automatic cookie persistence.

Can BeautifulSoup use XPath?

Author: Mohan Ganesan

Date: Feb 5, 2024

BeautifulSoup and XPath can complement each other to create powerful web scrapers, but be mindful of the performance tradeoff.

Sending Numerical Data in a Python Requests POST

Author: Mohan Ganesan

Date: Feb 3, 2024

Requests library in Python handles POST requests seamlessly, allowing you to send numerical data like integers and floats as JSON without any special handling or conversions.

How many threads does asyncio use python ?

Author: Mohan Ganesan

Date: Mar 17, 2024

Asyncio is a powerful framework in Python that enables writing asynchronous, non-blocking code using a single-thread event loop. It allows concurrency through cooperative multitasking and the use of additional threads for CPU-bound work.

Accessing Web Content Through a Proxy Server with Python's urllib

Author: Mohan Ganesan

Date: Feb 6, 2024

Fetch web content in Python through a proxy server using urllib. Proxies provide security, network access control, and anonymity.

Accessing Protected Resources with urllib and Realm Authentication

Author: Mohan Ganesan

Date: Feb 8, 2024

Access protected web resources in Python using urllib and realm-based authentication with HTTPPasswordMgrWithDefaultRealm and HTTPBasicAuthHandler.

Efficient URL Requests with urllib PoolManager

Author: Mohan Ganesan

Date: Feb 6, 2024

Making HTTP requests in Python is common. urllib's PoolManager helps in reusing connections to each host, boosting performance.

Testing Asynchronous Code with Aiohttp Test Utilities

Author: Mohan Ganesan

Date: Mar 3, 2024

The aiohttp library in Python provides utilities for testing asynchronous code. Use aiohttp.test_utils module to test web APIs and apps.

Submitting Form Data with aiohttp in Python

Author: Mohan Ganesan

Date: Mar 3, 2024

Access and validate form data in aiohttp, store and process it, and handle errors to provide user feedback.

Geolocate IP Addresses with Python and IPinfo

Author: Mohan Ganesan

Date: Feb 3, 2024

Build location-aware Python applications by mapping IP addresses to countries using the IPinfo API and the requests library.

Converting Python Requests to Go net/http for Easier HTTP Clients

Author: Mohan Ganesan

Date: Feb 3, 2024

Learn the key differences between making HTTP requests in Python using Requests library and in Go using net/http package. Convert Python Requests code to Go net/http more easily.

Mastering Urllib Sessions in Python for Effective Web Scraping

Author: Mohan Ganesan

Date: Feb 8, 2024

Urllib sessions allow persisting specific parameters across multiple requests. This is very useful for web scraping authenticated sites or sites that track browser state.

Scraping Multiple Pages with Python and BeautifulSoup

Author: Mohan Ganesan

Date: Oct 15, 2023

Web scraping using Python and BeautifulSoup to extract data from multiple pages. Make HTTP requests, parse HTML, and extract information.

Benchmarking aiohttp Web Performance

Author: Mohan Ganesan

Date: Feb 22, 2024

The Python aiohttp library provides powerful async HTTP client/server functionality. Benchmarking quantifies metrics like requests per second, latency distributions, and resource usage to guide optimization and capacity planning.

Boosting Your Discord Bot's Performance with aiohttp

Author: Mohan Ganesan

Date: Feb 22, 2024

Build high-performance Discord bots with aiohttp, the leading asynchronous HTTP client for Python, to prevent blocking and improve concurrency.

Faster Parallel Processing Alternatives to Multithreading in Python

Author: Mohan Ganesan

Date: Mar 17, 2024

Multithreading in Python allows concurrent execution of multiple threads within a process. However, it has limitations due to the GIL. Alternatives like multiprocessing, Numba, and Cython provide better parallelism and performance.

What is Urlencode in Python?

Author: Mohan Ganesan

Date: Feb 20, 2024

Python's urllib module provides simple ways to handle URL encoding. Encoding URLs ensures special characters transmit safely through networks and servers.

Returning HTML Responses with aiohttp in Python

Author: Mohan Ganesan

Date: Mar 3, 2024

aiohttp allows easy return of HTML content in Python web applications and APIs. Use template engines and response streaming for robust web apps.

Is Requests a Built-In Python Library?

Author: Mohan Ganesan

Date: Oct 22, 2023

Requests is a popular Python library for making HTTP requests, providing an elegant API and handling details like encoding parameters, cookies, and authentication. It simplifies HTTP calls compared to the built-in urllib module, but needs to be installed separately.

Implementing Scalable Async I/O with Python Asyncio Queues

Author: Mohan Ganesan

Date: Mar 25, 2024

Asyncio queues provide a great way to pass data between asynchronous tasks in Python. They enable building scalable asynchronous I/O flows without some of the downsides of threads or processes.

Making HTTP Requests in Python: requests vs. pycurl

Author: Mohan Ganesan

Date: Feb 3, 2024

Python provides options for making HTTP requests. Use requests library for basic needs and pycurl for more control.

Is Python web scraping in demand?

Author: Mohan Ganesan

Date: Feb 20, 2024

Web scraping is the automated process of extracting data from websites. Python's simplicity and libraries make it ideal for web scraping, leading to high demand for Python web scraping skills.

What is the alternative to BeautifulSoup in Python?

Author: Mohan Ganesan

Date: Feb 5, 2024

BeautifulSoup is a popular Python library for parsing HTML, but there are alternatives like XML parsing, html.parser, and regular expressions.

Dodging CAPTCHAs with Python for Web Scraping

Author: Mohan Ganesan

Date: Oct 4, 2023

CAPTCHAs are a major annoyance when scraping the web. This article explains how to automatically solve CAPTCHAs using Python libraries and services like 2Captcha and Proxies API.

The Complete Guide to JavaScript Scraping with Python: Tips, Tricks, and Gotchas

Author: Mohan Ganesan

Date: Nov 17, 2023

Scraping JavaScript-heavy sites in Python can be tricky. With the right tools like Selenium and Requests-HTML, you can conquer complex JS pages and handle async JS rendering.

Fixing "Import aiohttp Could Not Be Resolved" Errors in Python

Author: Mohan Ganesan

Date: Mar 3, 2024

Python import error: cannot import name 'aiohttp' from 'aiohttp'. Troubleshooting steps: install aiohttp, check virtual environment, correct capitalization, resolve module conflicts.

Handling Responses with urllib in Python

Author: Mohan Ganesan

Date: Feb 6, 2024

The urllib module in Python provides functionality for fetching data from URLs. Properly handling the response is important for robust code.

Getting Started with the HTTPX Python Library

Author: Mohan Ganesan

Date: Feb 5, 2024

The HTTPX library is a powerful and user-friendly HTTP client for Python. Install it with pip and make requests easily with its elegant API.

Integrating Peewee ORM with aiohttp for Asynchronous Database Access

Author: Mohan Ganesan

Date: Feb 22, 2024

The aiohttp library provides powerful tools for building asynchronous Python web applications. Peewee is a simple yet powerful ORM for working with SQL databases. Integrating these libraries allows building high-performance async web apps with a Pythonic object-relational mapper for the database access.

Easy Guide: Installing the Requests Library for Python on Windows

Author: Mohan Ganesan

Date: Feb 3, 2024

Learn how to install and use the Python requests library for making HTTP requests in your projects.

Making API Requests Safely with Python Requests

Author: Mohan Ganesan

Date: Feb 3, 2024

When making API requests in Python, it's important to consider security. Use HTTPS, validate certificates, use tokens for authentication, and handle sensitive data safely.

Streaming Downloads with Python Requests

Author: Mohan Ganesan

Date: Feb 3, 2024

Stream large downloads in Python using requests library to avoid memory issues and start processing data sooner.

Python Threads vs Processes: Which is Faster and When to Use Each

Author: Mohan Ganesan

Date: Mar 24, 2024

When writing Python programs, developers often wonder if it's better to use threads or processes. Processes are generally faster and more robust, but have higher overhead. Threads require less resources to create, but come with their own challenges.

Conda and BeautifulSoup: Streamlining Python Dependency Management and Web Scraping

Author: Mohan Ganesan

Date: Oct 6, 2023

Conda and BeautifulSoup simplify dependency management and web scraping in Python by creating separate environments and providing easy HTML/XML navigation.

Accessing Array Data in URLs with Python's urllib

Author: Mohan Ganesan

Date: Feb 6, 2024

Python's urllib provides simple utilities to encode array data into URLs and restore it on the other end.

Making PUT Requests with aiohttp in Python

Author: Mohan Ganesan

Date: Mar 3, 2024

aiohttp library in Python provides a simple way to make asynchronous PUT requests, allowing for easy resource creation and updates.

Why is multithreading not faster in python?

Author: Mohan Ganesan

Date: Mar 24, 2024

Python's multithreading capabilities are limited by the Global Interpreter Lock (GIL), but can still provide performance benefits for I/O-bound tasks. Tips include using multiprocessing for CPU-bound tasks and avoiding shared memory between threads.

Making HTTP Requests in Python with HTTPX

Author: Mohan Ganesan

Date: Feb 5, 2024

Python HTTP client HTTPX simplifies making HTTP requests, supports HTTP/1.1 and HTTP/2, and offers features like timeouts and retries.

Making Asynchronous HTTP Requests in Python

Author: Mohan Ganesan

Date: Feb 3, 2024

Python Requests library provides simple interface for making HTTP requests. Supports synchronous and asynchronous requests using threads or processes.

Web Scraping in Python: A Comparison of Beautiful Soup, Selenium, and Scrapy

Author: Mohan Ganesan

Date: Oct 4, 2023

Web scraping with Python using Beautiful Soup, Selenium, and Scrapy. Each tool serves a different niche, from simple extraction to browser automation and large-scale scraping.

Is Python asynchronous or synchronous?

Author: Mohan Ganesan

Date: Mar 17, 2024

Python's asyncio module enables asynchronous I/O for improved concurrency. Use asyncio for I/O-bound tasks and when concurrency is needed.

异步HTTP客户端/服务器框架aiohttp入门指南

Author: Mohan Ganesan

Date: Mar 3, 2024

aiohttp is a powerful Python asynchronous network programming framework for building high-performance asynchronous IO applications.

Making HTTP Requests in Python Without a Proxy

Author: Mohan Ganesan

Date: Feb 3, 2024

Make HTTP requests in Python without a proxy using the requests library. Customize requests with headers, parameters, and handle timeouts.

Is Urllib built in Python?

Author: Mohan Ganesan

Date: Feb 20, 2024

Python's urllib module provides the building blocks for fetching data and interacting with APIs over HTTP.

urllib attribute error

Author: Mohan Ganesan

Date: Feb 6, 2024

The urllib module in Python provides functions for fetching data from the web. Common errors include attribute errors and invalid URLs. Handling redirects and errors is important.

Is Urllib in Python standard library?

Author: Mohan Ganesan

Date: Feb 20, 2024

Python's built-in urllib module makes retrieving data from the internet easy. It's a great starting point for basic HTTP requests before using more full-featured libraries like Requests.

Why Large Requests Can Fail in Python

Author: Mohan Ganesan

Date: Feb 3, 2024

Requests library in Python can encounter errors with large requests due to TCP packet size. Solutions include chunking the request body, lowering stream threshold, compressing data, or switching protocols.

Making Python Requests Appear Mobile

Author: Mohan Ganesan

Date: Feb 3, 2024

Make Python requests appear as mobile by setting User-Agent header, using mobile HTTP client library, or proxying through a mobile device.

URL Encoding and Decoding in Python

Author: Mohan Ganesan

Date: Feb 6, 2024

URL encoding/decoding in Python using urllib.parse. quote() encodes special characters like spaces as %20, while unquote() decodes them. Useful for building and parsing URLs.

Understanding the Aiohttp Request Object in Python

Author: Mohan Ganesan

Date: Mar 3, 2024

The aiohttp request object provides valuable information about incoming HTTP requests in Python web applications.

Scrapy vs BeautifulSoup: How to Choose the Right Web Scraping Tool

Author: Mohan Ganesan

Date: Oct 6, 2023

Scrapy and BeautifulSoup are popular Python tools for web scraping. Scrapy is optimized for large-scale crawling and structured data extraction, while BeautifulSoup is better for targeted data extraction from specific pages. Combining both libraries can leverage their respective strengths.

Fixing aiohttp UnicodeDecodeErrors

Author: Mohan Ganesan

Date: Mar 3, 2024

Fixing UnicodeDecodeErrors in aiohttp: specify encoding, check actual encoding, decode manually, re-encode text

Encoding URLs in Python with urllib

Author: Mohan Ganesan

Date: Feb 8, 2024

When building web applications in Python, you'll often need to encode URLs and their components to ensure they are valid and can be transmitted properly between the client and server.

Is asyncio python better than threading?

Author: Mohan Ganesan

Date: Mar 17, 2024

Async IO vs Threading in Python: A Practical Comparison. Async IO and threading are two options for concurrency in Python. This article compares their strengths and weaknesses, including performance, scalability, and library compatibility.

Whats the equivalent of pythons request package for rust?

Author: Mohan Ganesan

Date: Feb 3, 2024

Rust is a systems programming language focused on performance, reliability, and efficiency. reqwest is a popular HTTP client library for Rust, providing a similar developer experience to Python's requests package.

Async IO in Python: When and Why to Use It Over Threads

Author: Mohan Ganesan

Date: Mar 17, 2024

Leverage async I/O for non-CPU bound tasks that deal with network, disk, or user interactions for great performance gains. Stick to threads for intensive computational workloads.

Does asyncio run in single thread python ?

Author: Mohan Ganesan

Date: Mar 17, 2024

Python's asyncio module allows concurrent code using a single-threaded event loop model, providing performance benefits for I/O bound workloads.

Why My Python requests.post() is Sending a GET Instead of POST

Author: Mohan Ganesan

Date: Feb 3, 2024

When working with Python's popular requests library, calling requests.post() may send a GET request instead of POST due to forgetting to pass data/json or server redirection.

Leveraging Asynchronous I/O with Asyncio for Faster File Operations

Author: Mohan Ganesan

Date: Mar 25, 2024

Asynchronous I/O in Python with asyncio allows non-blocking file operations, optimizing applications with concurrent code and faster file processing.

Serving HTTP Requests Efficiently with aiohttp's TCPServer

Author: Mohan Ganesan

Date: Mar 3, 2024

The aiohttp Python library provides powerful tools for building asynchronous HTTP services. TCPServer is a key component that handles details like accepting connections, reading/writing data, and closing connections. It supports HTTPS, handles concurrent connections efficiently, and is useful for microservices and API backends.

Concurrency in Python: Understanding Asyncio vs Synchronous Code

Author: Mohan Ganesan

Date: Mar 17, 2024

Python is often used for building complex applications that handle multiple tasks concurrently. Understanding the difference between asyncio and synchronous code is key to writing efficient, scalable Python programs.

Handling Errors Gracefully in aiohttp with errors=ignore

Author: Mohan Ganesan

Date: Mar 3, 2024

errors='ignore' prevents aiohttp client errors from crashing your application. Customize exactly which errors to ignore and handle them programmatically. Vital for robust and resilient asynchronous services.

Troubleshooting HTTP 404 Errors with Python's urllib

Author: Mohan Ganesan

Date: Feb 6, 2024

Encountering HTTP 404 errors when trying to access web pages with Python's urllib module can be frustrating. This guide provides common causes and solutions for debugging 404 errors.

What is the difference between socket and Urllib?

Author: Mohan Ganesan

Date: Feb 8, 2024

Sockets offer low-level network access, but can be complex. urllib makes HTTP requests simple, but with less flexibility.

Who wrote BeautifulSoup?

Author: Mohan Ganesan

Date: Feb 5, 2024

The Origins of BeautifulSoup: Mark Pilgrim's Powerful Web Scraping Library. Created in 2004, BeautifulSoup is a popular and powerful library for web scraping and handling HTML/XML in Python.

Avoiding Excess Characters When Writing Files in Python

Author: Mohan Ganesan

Date: Feb 3, 2024

When writing data to files in Python, be aware of extra characters like newlines and padding. Use file.write() instead of print() and clean string formatting for clean file output.

Understanding Asyncio Coroutines and Tasks in Python

Author: Mohan Ganesan

Date: Mar 17, 2024

Asynchronous programming in Python using coroutines and tasks. Coroutines define asynchronous behavior, while tasks actually run the coroutines and enable concurrency.

Is asyncio concurrent or parallel python?

Author: Mohan Ganesan

Date: Mar 17, 2024

Asyncio provides concurrency, not parallelism. It shines for I/O bound work and can achieve high performance. Use multiprocessing for CPU intensive tasks.

Scraping New York Times News Headlines using Kotlin

Author: Mohan Ganesan

Date: Dec 6, 2023

The New York Times homepage can be scraped programmatically using Python and JSoup to extract article titles and links.

Speed Up Python Requests with Caching

Author: Mohan Ganesan

Date: Feb 3, 2024

HTTP requests in Python using requests library can be faster due to caching. Caching avoids unnecessary work and streamlines data retrieval workflows.

Simplifying URL Responses with urllib's parse_http_list

Author: Mohan Ganesan

Date: Feb 8, 2024

The urllib library in Python provides tools for working with URLs and HTTP responses. parse_http_list() simplifies parsing query parameters and response headers.

urllib Connection Pool in Python

Author: Mohan Ganesan

Date: Feb 8, 2024

Using a connection pool in Python's urllib module is a best practice for making multiple requests, boosting efficiency and speed.

Build High Performance Asyncio Web Servers in Python

Author: Mohan Ganesan

Date: Mar 25, 2024

Python's asyncio module allows you to write non-blocking, event-driven network code. This makes it possible to build very high performance web servers that can handle thousands of concurrent connections with very low resource usage.

Simplifying REST API Calls with Python Requests

Author: Mohan Ganesan

Date: Feb 3, 2024

Interacting with REST APIs made easy with Python's Requests module. Simple syntax, JSON decoding, parameterization, and more. Try it now!

Fixing the "RuntimeError: aiohttp Requires Python 3.4.2+" Error

Author: Mohan Ganesan

Date: Feb 22, 2024

Upgrade Python to version 3.4.2 or newer to fix the aiohttp runtime error and take advantage of its features.

Which scraping language is best?

Author: Mohan Ganesan

Date: Feb 5, 2024

When it comes to web scraping, the programming language you use matters. Python and JavaScript are popular choices, but consider factors like performance, complexity, and available libraries.

Accessing Websites in Python with urllib.urlopen()

Author: Mohan Ganesan

Date: Feb 6, 2024

The urllib.urlopen() function in Python provides a simple way to access and retrieve data from websites. It is useful for fetching data from web APIs, scraping data from HTML web pages, testing connectivity, and downloading files. It handles most of the network request work automatically.

Importing BeautifulSoup in Python

Author: Mohan Ganesan

Date: Oct 6, 2023

The first step in any BeautifulSoup web scraping script is importing the module and initializing the soup object to parse the HTML content.

What is the future in asyncio python ?

Author: Mohan Ganesan

Date: Mar 17, 2024

Asyncio enables asynchronous programming in Python. It is gaining popularity and offers performance improvements, new idioms, and integration with other languages. It is set to become an indispensable part of the Python ecosystem.

Concurrency in Python: Understanding Asyncio and Futures

Author: Mohan Ganesan

Date: Mar 24, 2024

Python provides powerful tools for handling concurrency and parallelism with asyncio and futures. Asyncio enables asynchronous I/O handling in a single thread, while futures handle parallelism across threads/processes.

Is Python async or sync?

Author: Mohan Ganesan

Date: Mar 24, 2024

New Python developers often get tripped up on the difference between asynchronous and synchronous execution. Asynchronous execution allows statements to run out of order without waiting. Python itself is synchronous, but it enables asynchronous execution through libraries like asyncio.

Which language is best for web scraping?

Author: Mohan Ganesan

Date: Feb 5, 2024

Best languages for web scraping: Python, JavaScript, and R. They provide the best libraries and balance for most web scraping needs.

Is socket a Python library?

Author: Mohan Ganesan

Date: Feb 20, 2024

The socket module in Python is a built-in interface for networking and inter-process communication. It is not a third-party library and can be imported freely without extra installation steps.

Making Scheme-Agnostic HTTP Requests in Python

Author: Mohan Ganesan

Date: Feb 3, 2024

Making HTTP requests in Python using requests library without hardcoding http or https. Simplifies code and enables flexibility.

Making HTTP Requests in Python: Requests and urllib3 Explained

Author: Mohan Ganesan

Date: Feb 3, 2024

Python code interacts with web APIs or crawls websites using HTTP requests. requests and urllib3 are popular libraries for this.

Sending HTTP POST Requests in Python

Author: Mohan Ganesan

Date: Feb 3, 2024

Python provides simple methods to simulate HTTP POST requests for testing APIs or web applications. The main tool for sending HTTP requests in Python is the requests library.

Getting Started with aiohttp: Installing this Python Async HTTP Library

Author: Mohan Ganesan

Date: Feb 22, 2024

The aiohttp library enables developers to make asynchronous HTTP requests in Python. It is a powerful tool for building asynchronous web applications and scraping websites.

Why Python's Multithreading Perfoms Poorly (And What To Do About It)

Author: Mohan Ganesan

Date: Mar 24, 2024

Python's multithreading capabilities are limited due to the GIL. Solutions like multiprocessing and asynchronous frameworks exist.

Is Urllib part of Python?

Author: Mohan Ganesan

Date: Feb 20, 2024

Python's urllib module is a basic tool for fetching data from URLs, but many prefer the more advanced Requests module for HTTP requests.

Sending POST Requests in Python: request() vs post()

Author: Mohan Ganesan

Date: Feb 3, 2024

When sending POST requests in Python, you'll commonly use the requests library. The post() method is a convenience method in requests specifically for sending POST requests. Using the right method for the job leads to simpler and easy to maintain code.

Choosing Between Curio and aiohttp for Async IO in Python

Author: Mohan Ganesan

Date: Feb 22, 2024

Python developers can choose between Curio and aiohttp for async IO. Curio is great for CPU-bound tasks, while aiohttp is ideal for IO-bound HTTP applications. Both libraries are well-optimized for performance.

Running WSGI Apps with aiohttp

Author: Mohan Ganesan

Date: Feb 22, 2024

aiohttp library in Python allows running WSGI apps directly, providing better performance and leveraging aiohttp's features.

What is alternate to asyncio in Python?

Author: Mohan Ganesan

Date: Mar 17, 2024

Asyncio is Python's built-in asynchronous programming framework, but alternatives like Twisted and Trio are worth exploring.

Async IO and Generators: Key Differences in Python

Author: Mohan Ganesan

Date: Mar 24, 2024

Async IO and generators are powerful asynchronous programming concepts in Python with key differences. Generators produce data on demand, while Async IO enables concurrent work. Both are useful for different scenarios and can be used together to write highly scalable programs.

Building Asynchronous Web APIs with aiohttp Views

Author: Mohan Ganesan

Date: Mar 3, 2024

The aiohttp library in Python provides tools for building asynchronous web applications. A key component is aiohttp views, which allow you to write handler functions for incoming requests similarly to how you would with a traditional web framework like Flask or Django.

Is BeautifulSoup a library or module?

Author: Mohan Ganesan

Date: Feb 5, 2024

BeautifulSoup is a library in Python for parsing, navigating, and searching HTML and XML documents.

Beyond Asyncio: Exploring Asynchronous Programming Options in Python

Author: Mohan Ganesan

Date: Mar 25, 2024

Asyncio is Python's built-in asynchronous programming framework, but there are alternative options like Twisted, Trio, and Curio for non-blocking applications.

Asyncio Concurrency in Python: Unlocking Asynchronous Magic

Author: Mohan Ganesan

Date: Mar 25, 2024

Concurrency is essential for building responsive and scalable applications. Asyncio in Python allows for asynchronous code, making the most of hardware resources.

What is the difference between parallel and async in Python?

Author: Mohan Ganesan

Date: Mar 24, 2024

Python offers two options for performing multiple tasks simultaneously: parallel programming, which leverages multiple CPU cores, and asynchronous programming, which allows long-running functions to yield control back while waiting.

Fetching Data from the Web with urllib's read()

Author: Mohan Ganesan

Date: Feb 8, 2024

Python's urllib module provides a simple way to retrieve data from the internet using the read() method. It handles network I/O and allows you to focus on working with the downloaded data.

How to use URL in Python?

Author: Mohan Ganesan

Date: Feb 20, 2024

Python has great URL handling capabilities out of the box. Whether you need to parse URLs, download files, call web APIs, or interact with websites, Python has you covered!

Making HTTP Requests with aiohttp in Python

Author: Mohan Ganesan

Date: Feb 22, 2024

The aiohttp library is a popular asynchronous HTTP client/server framework for Python. It allows you to make HTTP requests without blocking your application, perfect for building highly concurrent or asynchronous services.

What is the difference between asyncio and multithreading python ?

Author: Mohan Ganesan

Date: Mar 17, 2024

Python developers often need to make their programs concurrent to improve performance. The two main options for concurrency in Python are asyncio and multithreading.

Do I need urllib3?

Author: Mohan Ganesan

Date: Feb 20, 2024

Python's urllib3 module provides connection pooling, asynchronous requests, and TLS encryption for better performance in HTTP requests.

Pushing Asyncio to the Limit: Understanding Concurrency Limits

Author: Mohan Ganesan

Date: Mar 25, 2024

The asyncio module in Python enables concurrent execution of code by running tasks asynchronously. It depends on factors like number of threads, nature of tasks, and settings.

Is BeautifulSoup a data analysis tool?

Author: Mohan Ganesan

Date: Feb 5, 2024

Python library BeautifulSoup enables data extraction and analysis from web pages. Integrating with Pandas allows for deeper analysis and tracking changes to sites over time.

Why coroutines are better than threads in python?

Author: Mohan Ganesan

Date: Mar 25, 2024

Coroutines in Python provide a lightweight alternative for concurrent programming without the overhead of threads. They are ideal for I/O bound workloads and enable simple, efficient, and scalable code.

urllib retrieve

Author: Mohan Ganesan

Date: Feb 8, 2024

urllib in Python makes it easy to fetch resources from the web. Handle errors and include data in requests with URL encoding.

Python: The Go-To Language for Web Scraping

Author: Mohan Ganesan

Date: Feb 20, 2024

Web scraping with Python: learn why Python is the go-to language, its advantages, popular libraries, handling complex websites, and best practices.

Is asyncio deprecated python ?

Author: Mohan Ganesan

Date: Mar 17, 2024

Asyncio is an integral part of Python, providing efficient framework for writing asynchronous code. It allows concurrent execution without the complexity of threads or multiprocessing.

What is the difference between asyncio and synchronous?

Author: Mohan Ganesan

Date: Mar 24, 2024

Python includes both synchronous and asynchronous programming capabilities. Use synchronous code for simple scripts and CPU-bound processing. Use asyncio for I/O-bound work, parallel execution, and concurrency within a single thread.

What is the difference between asyncio and queue?

Author: Mohan Ganesan

Date: Mar 24, 2024

Asynchronous programming in Python with asyncio and queues. asyncio for I/O bound tasks, queues for CPU bound work. Different concurrency models and performance tradeoffs.

urllib get

Author: Mohan Ganesan

Date: Feb 8, 2024

The urllib module in Python provides a simple interface for fetching data over HTTP. With just a few lines of code, you can easily make GET and POST requests to access web pages and APIs.

Async IO and Futures in Python: What's the Difference?

Author: Mohan Ganesan

Date: Mar 17, 2024

Asynchronous programming in Python with asyncio and futures. asyncio provides infrastructure for async I/O concurrency while futures represent eventual results of asynchronous operations.

Do I need to install Urllib in Python?

Author: Mohan Ganesan

Date: Feb 8, 2024

urllib is included automatically with Python and comes pre-installed with standard Python distributions. No separate installation required.

Async IO for Python: aiohttp 3.7.4

Author: Mohan Ganesan

Date: Mar 3, 2024

The aiohttp library provides asynchronous HTTP client/server functionality for Python based on the asyncio event loop. Version 3.7.4 contains useful updates that make aiohttp even more powerful and developer-friendly.

Achieving Speed with Asyncio in Python

Author: Mohan Ganesan

Date: Mar 24, 2024

Python's asyncio library enables concurrency for improved performance, but not parallelism. It allows efficient use of I/O resources within a single thread.

Resolving Telepot's Incompatible Aiohttp Version Error

Author: Mohan Ganesan

Date: Mar 3, 2024

Error encountered when installing Telepot library due to incompatible aiohttp version. Upgrade aiohttp or install compatible Telepot version. Use virtual environments for projects with incompatible dependencies.

What is Urllib Python?

Author: Mohan Ganesan

Date: Feb 20, 2024

Urllib is a Python library for making HTTP requests and working with URLs. It is useful for basic requests and simple GET requests. For more advanced functionality, consider using the requests module and other 3rd party packages.

How i make money with Python web scraping?

Author: Mohan Ganesan

Date: Feb 20, 2024

Web scraping with Python: extract data, analyze it, and sell it. Also, generate content for monetized sites. Follow legal and ethical guidelines.

Why use urllib3?

Author: Mohan Ganesan

Date: Feb 20, 2024

urllib3 is a full-featured HTTP client for making requests in Python. It handles connection pooling, SSL/TLS verification, and more, making it a popular choice for web APIs.

Leveraging Sockets for Effective Network Communication in Python

Author: Mohan Ganesan

Date: Feb 20, 2024

Sockets in Python enable low-level network communication, providing bidirectional communication, support for multiple protocols, portability, and an accessible API.

What are the advantages of asyncio in Python?

Author: Mohan Ganesan

Date: Mar 17, 2024

Python's asyncio module opens up a whole new world of asynchronous programming, allowing code to execute concurrently and resulting in huge performance gains for I/O-bound applications.

Making Python Asynchronous: An Introduction to asyncio

Author: Mohan Ganesan

Date: Mar 17, 2024

Asynchronous programming in Python with asyncio allows for concurrent execution, improved speed and efficiency. It is useful for network programming and database access.

Asyncio events

Author: Mohan Ganesan

Date: Mar 25, 2024

Asyncio is a powerful feature in Python that allows you to write asynchronous, non-blocking code. It enables more responsive programs for I/O bound tasks like web scraping and network programming.

Does Python requests use urllib3?

Author: Mohan Ganesan

Date: Feb 20, 2024

Python requests library provides a high-level interface for making HTTP requests, while urllib3 handles the low-level details.

Simplifying Asynchronous Code in Python with async and await

Author: Mohan Ganesan

Date: Mar 17, 2024

Async programming in Python using async/await simplifies writing non-blocking code that runs concurrently, making it ideal for high throughput and scalability in network apps.

Is Scrapy faster than BeautifulSoup?

Author: Mohan Ganesan

Date: Feb 5, 2024

Scrapy is a faster dedicated web scraping framework while BeautifulSoup excels at parsing HTML/XML.

Is BeautifulSoup good for web scraping?

Author: Mohan Ganesan

Date: Feb 5, 2024

BeautifulSoup is the leading Python web scraping library, with an intuitive API for parsing HTML. It struggles with JavaScript-heavy sites, so use proxies and mimic humans. Try it for your next project!

Is Urllib a standard Python package?

Author: Mohan Ganesan

Date: Feb 8, 2024

Urllib is a standard Python package for working with HTTP resources. It provides tools for fetching URLs, handling redirects, parsing response data, encoding requests, and more.

how long does it take to learn web scraping

Author: Mohan Ganesan

Date: Feb 20, 2024

Learn web scraping in 0-3 months with Python or JavaScript. Master advanced techniques in 4-12 months. Keep leveling up your skills!

Simplifying HTTP Requests in Python with urllib

Author: Mohan Ganesan

Date: Feb 3, 2024

The urllib module in Python provides tools for fetching data from the web. It allows making HTTP requests, handling responses, and constructing customized requests.

Is asyncio part of Python?

Author: Mohan Ganesan

Date: Mar 17, 2024

Python's asyncio module enables non-blocking concurrency, improving performance, scalability, and user experience.

When to use async python ?

Author: Mohan Ganesan

Date: Mar 17, 2024

Python developers can use async code for faster and more efficient programming. Async is useful for network requests, file I/O, concurrency, and improving perceived performance. However, it should be avoided for CPU intensive tasks. Mixing async and sync code can cause deadlocks, and debugging async code can be challenging. Bridge between sync and async with asyncio.to_thread() and use purpose-built tools like aiomonitor for debugging.

What are the modes of asyncio python ?

Author: Mohan Ganesan

Date: Mar 17, 2024

Asynchronous programming in Python using asyncio module for building responsive and scalable applications.

Multithreading in Python: Choosing the Right Model

Author: Mohan Ganesan

Date: Mar 17, 2024

Multithreading in Python can improve performance and responsiveness. Choose the right model based on use case and tradeoffs. Options include threading, multiprocessing, and asyncio.

Is it easy to learn web scraping?

Author: Mohan Ganesan

Date: Feb 5, 2024

Web scraping made easy with Python or JavaScript. Understand website structure, leverage libraries, and problem solve for rewarding data extraction.

What is a socket in Python?

Author: Mohan Ganesan

Date: Feb 20, 2024

Sockets are a key concept in network programming that allow communication between processes or applications. In Python, sockets are enabled through the socket library. Client sockets are used to initiate communication with a server, while server sockets listen for incoming connections. Sockets enable bidirectional communication through sending and receiving data, and can handle multiple client connections concurrently.

Is web scraping for beginners?

Author: Mohan Ganesan

Date: Feb 20, 2024

Web scraping is the process of extracting data from websites. Beginners can learn it with programming knowledge in HTML/CSS, Python, and JavaScript.

Is web scraping good for freelancing?

Author: Mohan Ganesan

Date: Feb 20, 2024

Web scraping freelancing offers great income potential in a niche with lots of demand. Be ready to continually monitor scripts and adapt to site changes.

Is Scrapy free?

Author: Mohan Ganesan

Date: Feb 5, 2024

Scrapy is an open source web crawling and web scraping framework written in Python. It provides versatile crawling capabilities and has a thriving community.

When Async Python Outperforms Sync

Author: Mohan Ganesan

Date: Mar 17, 2024

Async programming in Python allows code to execute out of order while waiting on long-running tasks like network I/O. Async speeds up I/O-bound workloads but can be slower for heavy CPU processing. Always profile before and after to validate.

Is asyncio a standard library python ?

Author: Mohan Ganesan

Date: Mar 17, 2024

Async IO is a useful concurrent programming framework in Python's standard library for executing multiple tasks concurrently within a single thread.

Is web scraping a job?

Author: Mohan Ganesan

Date: Feb 20, 2024

Web scraping provides career opportunities in data analysis, software engineering, and entrepreneurial ventures at the intersection of data and software engineering.

What is BeautifulSoup 4?

Author: Mohan Ganesan

Date: Feb 5, 2024

Web scraping is the process of extracting data from websites using Python's BeautifulSoup library, which provides methods to parse and search HTML and XML documents. It is popular due to its simplicity and extensive features.

urllib read

Author: Mohan Ganesan

Date: Feb 8, 2024

The urllib module in Python provides functionality for retrieving data from URLs. It allows you to fetch web pages, decode and parse HTML, and handle errors. Practical examples include web scraping and checking broken links.

Leveraging Sockets for Network Communication in Python

Author: Mohan Ganesan

Date: Feb 8, 2024

Sockets in Python provide a low-level networking interface for sending and receiving data across networks and the internet.

Parsing XML with BeautifulSoup

Author: Mohan Ganesan

Date: Oct 6, 2023

BeautifulSoup can parse and extract data from XML and HTML documents, making it useful for scraping and analyzing data. It can navigate and search the parsed tree, modify the tree, and output the modified XML. It can also convert a BeautifulSoup XML object back into a string and perform additional processing. Examples demonstrate parsing XML files, displaying extracted data in tables using Pandas, and saving extracted data to CSV files.

What is the function of the Urllib library?

Author: Mohan Ganesan

Date: Feb 20, 2024

The urllib library in Python is a powerful tool for web scraping, interacting with APIs, and handling HTTP requests.

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