trafilatura 0.9.0

Web scraping library and command-line tool for text discovery and retrieval. Downloads web pages, scrapes main text and comments while preserving some structure, and converts to TXT, CSV, JSON and XML

Description

Trafilatura is a Python package and command-line tool which seamlessly downloads, parses, and scrapes web page data: it can extract metadata, main body text and comments while preserving parts of the text formatting and page structure. The output can be converted to different formats.

Features

• Seamless and parallel online/offline processing:

  • Download and conversion utilities included

  • URLs, HTML files or parsed HTML trees as input

• Robust and efficient extraction:

  • Main text and/or comments

  • Structural elements preserved: paragraphs, titles, lists, quotes, code, line breaks, in-line text formatting

  • Extraction of metadata (title, author, date, site name, categories and tags)

• Several output formats supported:

  • Plain text (minimal formatting)

  • CSV (with metadata, tab-separated values)

  • JSON (with metadata)

  • XML (for metadata and structure) and TEI-XML

• Link discovery and URL lists:

  • Focused crawling and politeness rules

  • Support for sitemaps and ATOM/RSS feeds

  • Efficient and polite processing of URL queues

  • Blacklisting

• Optional language detection on extracted content

Evaluation and alternatives

For more detailed results see the evaluation page and evaluation script. To reproduce the tests just clone the repository, install all necessary packages and run the evaluation script with the data provided in the tests directory.

500 documents, 1487 text and 1496 boilerplate segments (2020-11-06)
Python Package	Precision	Recall	Accuracy	F-Score	Diff.
justext 2.2.0 (tweaked)	0.870	0.584	0.749	0.699	6.1x
newspaper3k 0.2.8	0.921	0.574	0.763	0.708	12.9x
goose3 3.1.6	0.950	0.629	0.799	0.757	19.0x
boilerpy3 1.0.2 (article mode)	0.851	0.696	0.788	0.766	4.8x
baseline (text markup)	0.746	0.804	0.766	0.774	1x
dragnet 2.0.4	0.906	0.689	0.810	0.783	3.1x
readability-lxml 0.8.1	0.917	0.716	0.826	0.804	5.9x
news-please 1.5.13	0.923	0.711	0.827	0.804	184x
trafilatura 0.6.0	0.924	0.849	0.890	0.885	3.9x
trafilatura 0.6.0 (+ fallbacks)	0.933	0.877	0.907	0.904	8.4x

External evaluations:

• Most efficient open-source library in ScrapingHub’s article extraction benchmark as well as in another independant evaluation on the same data.

• Best overall tool according to Gaël Lejeune & Adrien Barbaresi, Bien choisir son outil d’extraction de contenu à partir du Web (2020, PDF, French).

Usage and documentation

For further information please refer to the documentation:

• Installation

• Usage: On the command-line, With Python, With R

• Core Python functions

• Tutorials

• Evaluation

For video tutorials see this Youtube playlist:

• Web scraping how-tos and tutorials

License

Trafilatura is distributed under the GNU General Public License v3.0. If you wish to redistribute this library but feel bounded by the license conditions please try interacting at arms length, multi-licensing with compatible licenses, or contacting me.

See also GPL and free software licensing: What’s in it for business?

Contributing

Contributions are welcome!

Feel free to file issues on the dedicated page. Thanks to the contributors who submitted features and bugfixes!

Author

This effort is part of methods to derive information from web documents in order to build text databases for research (chiefly linguistic analysis and natural language processing). Extracting and pre-processing web texts to the exacting standards of scientific research presents a substantial challenge for those who conduct such research. Web corpus construction involves numerous design decisions, and this software package can help facilitate text data collection and enhance corpus quality.

• Barbaresi, A. Trafilatura: A Web Scraping Library and Command-Line Tool for Text Discovery and Extraction, Proceedings of the Annual Meeting of the ACL, System Demonstrations, 2021, to appear.

• Barbaresi, A. “Generic Web Content Extraction with Open-Source Software”, Proceedings of KONVENS 2019, Kaleidoscope Abstracts, 2019.

• Barbaresi, A. “Efficient construction of metadata-enhanced web corpora”, Proceedings of the 10th Web as Corpus Workshop (WAC-X), 2016.

You can contact me via my contact page or GitHub.

Going further

Online documentation: trafilatura.readthedocs.io.

Tutorials: overview.

Trafilatura: Italian word for wire drawing.

Corresponding posts on Bits of Language (blog).