OpenWPM VS libgencrawl

Compare OpenWPM vs libgencrawl and see what are their differences.

libgencrawl

crawl all books from a library genesis search (by simin75simin)
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OpenWPM libgencrawl
2 1
1,311 5
0.8% -
6.5 3.6
2 months ago almost 3 years ago
Python Python
GNU General Public License v3.0 or later -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

OpenWPM

Posts with mentions or reviews of OpenWPM. We have used some of these posts to build our list of alternatives and similar projects.

libgencrawl

Posts with mentions or reviews of libgencrawl. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing OpenWPM and libgencrawl you can also consider the following projects:

selenium-python-helium - Lighter web automation for Python [Moved to: https://github.com/mherrmann/helium]

Youtube_Scraper - Scrape data about an entire Channel or just a Playlist, or get stats about your Own Watch History.

TorBot - Dark Web OSINT Tool

autoscraper - A Smart, Automatic, Fast and Lightweight Web Scraper for Python

lgdbdumps - Library Genesis (libgen) db dumps mirror on ipfs

GoodreadsScraper - Scrape data from Goodreads using Scrapy and Selenium :books:

nudeScraper - Gather all pictures from different sites using a simple python code

deepweb-scappering - Discover hidden deepweb pages

bookcut - Command Line Interface tool to download, organise and search free ebooks from your terminal in a moment.

spidy Web Crawler - The simple, easy to use command line web crawler.

newspaper - newspaper3k is a news, full-text, and article metadata extraction in Python 3. Advanced docs: