adblockparser

adblockparser is a package for working with Adblock Plus filter rules. It can parse Adblock Plus filters and match URLs against them.

Installation

pip install adblockparser

Python 2.7 and Python 3.3+ are supported.

If you plan to use this library with a large number of filters installing pyre2 library is highly recommended: the speedup for a list of default EasyList filters can be greater than 1000x.

pip install 're2 >= 0.2.21'

Note that pyre2 library requires C++ re2 library installed. On OS X you can get it using homebrew (brew install re2).

Usage

To learn about Adblock Plus filter syntax check these links:

• https://adblockplus.org/en/filter-cheatsheet
• https://adblockplus.org/en/filters

1. Get filter rules somewhere: write them manually, read lines from a file downloaded from EasyList, etc.:

   >>> raw_rules = [
   ...     "||ads.example.com^",
   ...     "@@||ads.example.com/notbanner^$~script",
   ... ]
   

2. Create AdblockRules instance from rule strings:

   >>> from adblockparser import AdblockRules
   >>> rules = AdblockRules(raw_rules)
   

3. Use this instance to check if an URL should be blocked or not:

   >>> rules.should_block("http://ads.example.com")
   True
   

   Rules with options are ignored unless you pass a dict with options values:

   >>> rules.should_block("http://ads.example.com/notbanner")
   True
   >>> rules.should_block("http://ads.example.com/notbanner", {'script': False})
   False
   >>> rules.should_block("http://ads.example.com/notbanner", {'script': True})
   True
   

Consult with Adblock Plus docs for options description. These options allow to write filters that depend on some external information not available in URL itself.

Performance

Regex engines

AdblockRules class creates a huge regex to match filters that don't use options. pyre2 library works better than stdlib's re with such regexes. If you have pyre2 installed then AdblockRules should work faster, and the speedup can be dramatic - more than 1000x in some cases.

Sometimes pyre2 prints something like re2/dfa.cc:459: DFA out of memory: prog size 270515 mem 1713850 to stderr. Give re2 library more memory to fix that:

>>> rules = AdblockRules(raw_rules, use_re2=True, max_mem=512*1024*1024)  # doctest: +SKIP

Make sure you are using re2 0.2.20 installed from PyPI, it doesn't work.

Parsing rules with options

Rules that have options are currently matched in a loop, one-by-one. Also, they are checked for compatibility with options passed by user: for example, if user didn't pass 'script' option (with a True or False value), all rules involving script are discarded.

This is slow if you have thousands of such rules. To make it work faster, explicitly list all options you want to support in AdblockRules constructor, disable skipping of unsupported rules, and always pass a dict with all options to should_block method:

>>> rules = AdblockRules(
...    raw_rules,
...    supported_options=['script', 'domain'],
...    skip_unsupported_rules=False
... )
>>> options = {'script': False, 'domain': 'www.mystartpage.com'}
>>> rules.should_block("http://ads.example.com/notbanner", options)
False

This way rules with unsupported options will be filtered once, when AdblockRules instance is created.

Limitations

There are some known limitations of the current implementation:

• element hiding rules are ignored;
• matching URLs against a large number of filters can be slow-ish, especially if pyre2 is not installed and many filter options are enabled;
• match-case filter option is not properly supported (it is ignored);
• document filter option is not properly supported;
• rules are not validated before parsing, so invalid rules may raise inconsistent exceptions or silently work incorrectly.

It is possible to remove all these limitations. Pull requests are welcome if you want to make it happen sooner!

Contributing

• source code: https://github.com/scrapinghub/adblockparser
• issue tracker: https://github.com/scrapinghub/adblockparser/issues

In order to run tests, install tox and type

tox

from the source checkout.

The license is MIT.