Stories from the Web Crawling trenches in asynchronous HTTP requests

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.

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.

Effective Strategies for Rate Limiting Asynchronous Requests in Python

Author: Mohan Ganesan

Date: Feb 3, 2024

Making asynchronous HTTP requests in Python applications and effectively rate limiting them using queues, retrying failed requests with backoff, and monitoring usage to stay under limits.

Making the Most of aiohttp's TCPConnector for Asynchronous HTTP Requests

Author: Mohan Ganesan

Date: Mar 3, 2024

Carefully configuring aiohttp's TCPConnector is key to get the most out of asynchronous HTTP in Python.

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.

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.

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.

Efficiently Handling Data with aiohttp in Python

Author: Mohan Ganesan

Date: Feb 22, 2024

The aiohttp library is a powerful tool for building asynchronous web applications and APIs in Python. It provides useful abstractions and tools for handling data effectively, including fetching data asynchronously, working with request data, and managing application state.

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