Web scraping frameworks provide tools for extracting data from websites, enabling developers to collect information for analysis or integration into other applications. This category features popular Python libraries and tools used for web scraping.
Beautiful Soup is a Python library for pulling data out of HTML and XML files. It provides Pythonic idioms for iterating, searching, and modifying the parse tree, making it easy to extract information from web pages.
Read MoreMechanicalSoup is a Python library for automating the interaction with websites. It is built on top of Requests and BeautifulSoup, providing a convenient way to fill out forms and perform other web-related tasks.
Read MoreRequests-HTML is an HTML parsing library for Python that is built on top of Requests. It simplifies the process of extracting information from HTML documents by providing a user-friendly API.
Read MoreThese frameworks cater to different aspects of web scraping, from parsing and extracting data with Beautiful Soup and Requests to handling large-scale crawling with Scrapy. Selenium is particularly useful for interacting with dynamic web pages, and LXML provides efficient HTML and XML parsing capabilities. Each framework has its strengths, and the choice depends on the specific requirements of the scraping task.