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Top Web Scraping Frameworks and Libraries

The AI Optify data team writes about topics that we think data engineers will love.

Top Web Scraping Frameworks & Libraries - For this post, we have scraped various signals (e.g. technical maturity, popularity of the library, size of the community behind the library, social media mentions etc.) for several scraping frameworks from web. We have fed all above signals to a trained Machine Learning algorithm to compute a score and rank the top open source libraries.

The readers will love our list because it is Data-Driven & Objective. Enjoy the list:

1. Requests


Requests allows you to send organic, grass-fed HTTP/1.1 requests, without the need for manual labor. There's no need to manually add query strings to your URLs, or to form-encode your POST data. Keep-alive and HTTP connection pooling are 100% automatic, powered by urllib3, which is embedded within Requests.

2. Scrapy


An open source and collaborative framework for extracting the data you need from websites. In a fast, simple, yet extensible way.

3. Beautiful Soup

Beautiful Soup

Beautiful Soup is a Python library for pulling data out of HTML and XML files. It works with your favorite parser to provide idiomatic ways of navigating, searching, and modifying the parse tree. It commonly saves programmers hours or days of work.

4. Selenium with Python

Selenium with Python

Selenium Python bindings provides a simple API to write functional/acceptance tests using Selenium WebDriver. Through Selenium Python API you can access all functionalities of Selenium WebDriver in an intuitive way.

5. lxml


xml is the most feature-rich and easy-to-use library for processing XML and HTML in the Python language. The lxml XML toolkit is a Pythonic binding for the C libraries libxml2 and libxslt. It is unique in that it combines the speed and XML feature completeness of these libraries with the simplicity of a native Python API, mostly compatible but superior to the well-known ElementTree API.

6. Webscraping with Selenium - part 1

Webscraping with Selenium - part 1

Excellent, thorough 3-part tutorial for scraping websites with Selenium.

7. Extracting data from websites with Scrapy

Extracting data from websites with Scrapy

Detailed tutorial for scraping an e-commerce site using Scrapy.

8. Scrapinghub


Scrapy Cloud, our cloud-based web crawling platform, allows you to easily deploy crawlers and scale them on demand – without needing to worry about servers, monitoring, backups, or cron jobs. It helps developers like you turn over two billion web pages per month into valuable data.