Web scraping automation with Python
by marketing.admin@openweaver.com 
Updated: Jan 10, 2023
Solution Kit
Build smart application to collect and scrap data from a variety of online sources using these open-source data scrapping libraries.
In today’s world, we are surrounded loads of data of different types and from diverse sources. And every business organisation wants to make the best use of this data. The ability to gather and utilise this data is a must-have skill for every data scientist.
Web scraping is the process of extracting structured and unstructured data from the web with the help of programs and exporting into a useful format. You can efficiently use the Python language to build application to harvest online data through these specific Python libraries.
The following list covers the top and trending libraries for web data scrapping. By clicking on each you can check out the overview, code examples, best applications and cases for each of them, and a lot more. Scroll through:
Working with HTTP to request a web page
httplib2by httplib2
462 Version:CurrentSmall, fast HTTP client library for Python. Features persistent connections, cache, and Google App Engine support. Originally written by Joe Gregorio, now supported by community.
httplib2by httplib2
Python 462 Version:Current License: Others (Non-SPDX)
Complete web scraping framework
scrapyby scrapy
47503 Version:2.9.0Scrapy, a fast high-level web crawling & scraping framework for Python.
scrapyby scrapy
Python 47503 Version:2.9.0 License: Permissive (BSD-3-Clause)
Parsing HTML, XML
BeautifulSoup4by il-vladislav
93 Version:Current
License: No License (null)BeautifulSoup 4 for Python 3.3
BeautifulSoup4by il-vladislav
Python 93 Version:Current License: No License