Date: Oct 31, 2023
Libxml2 is a XML processing library written in C for use in C/C++ applications. It provides DOM, SAX, XMLReader, XPath and XPointer support.
Date: Oct 6, 2023
XPath is a powerful querying language for selecting elements in XML and HTML documents, making web scraping with BeautifulSoup more robust and flexible.
Date: Mar 24, 2024
Learn web scraping with C# using powerful libraries like HtmlAgilityPack and AngleSharp. Understand the importance of XPath and CSS selectors for extracting data from HTML. Overcome challenges like dynamic content and anti-scraping measures. Rotate user agents and headers to mimic human behavior and avoid detection.
Date: Oct 31, 2023
HTML Agility Pack is an HTML parser for .NET that allows easy manipulation and data extraction from HTML documents.
Date: Dec 6, 2023
Learn how to scrape data from Wikipedia using C# and the HtmlAgilityPack library. Extract information from websites for data collection, analysis, and automation.
Date: Oct 15, 2023
Learn how to use C# and HtmlAgilityPack to download images from a Wikipedia page and extract data from HTML tables.
Date: Dec 6, 2023
Automate data extraction from websites using C# and HTML Agility Pack for web scraping. Use HTTP client for making requests and XPath for parsing HTML elements.
Date: Feb 5, 2024
BeautifulSoup and XPath can complement each other to create powerful web scrapers, but be mindful of the performance tradeoff.
Date: Jan 9, 2024
Web scraping tutorial in C++ using libcurl and libxml2 to extract data from Realtor.com listings.
Date: Jan 9, 2024
Learn how to scrape real estate listings from Realtor.com using PHP and cURL. Extract data using DOMDocument and XPath.
Date: Dec 6, 2023
Web scraping guide for extracting data from Yelp business listings using PHP and XPath.
Date: Jan 9, 2024
Scrape real estate listing data from Realtor.com using C# and HtmlAgilityPack library. Extract information like broker name, price, beds, baths, sqft, lot size, and address.
Date: Dec 6, 2023
Gathering data by scraping websites is made easy with just 34 lines of code in Objective-C using TFHpple library. Learn how to make HTTP requests, parse HTML content, extract data from a table, and clean and process the scraped content.
Date: Dec 6, 2023
Scraping business listings from Yelp using Objective-C and proxies for data extraction.
Date: Jan 9, 2024
Locators in test automation allow for the identification of elements on a web page. XPath locators are robust and flexible, making them ideal for scalable test automation. By mastering XPath syntax and operators, test engineers can construct dynamic locators to handle complex scenarios. Integrating XPath locators into Selenium scripts requires understanding the difference between finding a single element and multiple elements. Best practices include reusing locators through the Page Object Model pattern and handling exceptions carefully. Troubleshooting XPath issues involves verifying locator accuracy, outputting attribute values, and using more resilient variations. Overall, mastering XPath locators is crucial for successful UI test automation using Selenium.
Date: Jan 9, 2024
XPath is used for navigating XML and HTML documents in web scraping. It can select elements based on text content using contains function or exact match.
Date: Dec 6, 2023
Yelp is a popular review site with over 200 million reviews. This article explains how to scrape Yelp using proxies and HTML parsing with XPath.
Date: Feb 20, 2024
HTML knowledge is useful but not necessary for web scraping. Tools like BeautifulSoup and selector gadgets can be used to extract data without deep HTML knowledge.
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