Advanced Machine Learning, Data Mining, and Online Advertising Services
The readers will love our list because it is Data-Driven & Objective. Enjoy the list:
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.
An open source and collaborative framework for extracting the data you need from websites. In a fast, simple, yet extensible way.
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.
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.
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.
Excellent, thorough 3-part tutorial for scraping websites with Selenium.
Detailed tutorial for scraping an e-commerce site using Scrapy.
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.