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A python library (written in rust) for large scale batch analysis of robots.txt files

Project description

rbdt

🚨🚨🚨🚨

rbdt is a work in progress, currently being extracted out of another (private) project for the purpose of open sourcing and better software engineering.

🚨🚨🚨🚨

rbdt is a python library written in rust that parses robots.txt files.

PyPI version

rbdt features:

  • MIT license, have fun.
  • Written in Rust, so it is fast.
  • Callable from Python, so it is useful.
  • Has been and continues to be run against millions of unique robots.txt files.
  • Forgiving, corrects some typical mistakes in files written by hand, like recognizing dissallows probably meant to be disallow.
  • Intentionally provides direct access to the parsed robots.txt representation (unlike Reppy or Google's parser).
  • Ability to compare which user agent has more privilege given to it by the website owner, both heuristically and logically.

rbdt anti-features:

  • rbdt isn't meant to be used as part of a web crawler, but as part of a large scale analysis of robots.txt files. If ends up being useful for web crawlers eventually, that's great and only incidental.

Development

maturin develop
python py_tests/tests.py

Contributions

File a ticket or send a PR if you'd like.

To Do

  • Real Open Sourcing Hours
    • Changelog
    • Write documentation and put them somewhere
    • branch protection for main, no direct writes only PR's
    • automated tests
  • Crawl-delay parsing and restructuring of the data representation.
  • Be able to detect whether a crawler can access a specific page.
  • More tests of all the various edge cases.
  • Benchmarks, (maybe someday never).
  • Publish it as a Rust library as well (maybe).
  • Get Rust tests working (maybe).

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