Metadata-Version: 2.1
Name: trafilatura
Version: 0.9.0
Summary: 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
Home-page: http://github.com/adbar/trafilatura
Author: Adrien Barbaresi
Author-email: barbaresi@bbaw.de
License: GPLv3+
Project-URL: Documentation, https://trafilatura.readthedocs.io
Project-URL: Source, https://github.com/adbar/trafilatura
Project-URL: Blog, https://adrien.barbaresi.eu/blog/tag/trafilatura.html
Description: trafilatura: Web scraping tool for text discovery and retrieval
        ===============================================================
        
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        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 <https://en.wikipedia.org/wiki/Tab-separated_values>`_)
           - JSON (with metadata)
           - XML (for metadata and structure) and `TEI-XML <https://tei-c.org/>`_
        - 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 <https://github.com/adbar/trafilatura/blob/master/docs/evaluation.rst>`_ and `evaluation script <https://github.com/adbar/trafilatura/blob/master/tests/comparison.py>`_. 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 <https://github.com/scrapinghub/article-extraction-benchmark>`_ as well as in `another independant evaluation on the same data <https://github.com/currentsapi/extractnet>`_.
        - Best overall tool according to Gaël Lejeune & Adrien Barbaresi, `Bien choisir son outil d'extraction de contenu à partir du Web <https://hal.archives-ouvertes.fr/hal-02768510v3/document>`_ (2020, PDF, French).
        
        
        Usage and documentation
        -----------------------
        
        For further information please refer to the `documentation <https://trafilatura.readthedocs.io>`_:
        
        - `Installation <https://trafilatura.readthedocs.io/en/latest/installation.html>`_
        - Usage: `On the command-line <https://trafilatura.readthedocs.io/en/latest/usage-cli.html>`_, `With Python <https://trafilatura.readthedocs.io/en/latest/usage-python.html>`_, `With R <https://trafilatura.readthedocs.io/en/latest/usage-r.html>`_
        - `Core Python functions <https://trafilatura.readthedocs.io/en/latest/corefunctions.html>`_
        - `Tutorials <https://trafilatura.readthedocs.io/en/latest/tutorials.html>`_
        - `Evaluation <https://trafilatura.readthedocs.io/en/latest/evaluation.html>`_
        
        For video tutorials see this Youtube playlist:
        
        - `Web scraping how-tos and tutorials <https://www.youtube.com/watch?v=8GkiOM17t0Q&list=PL-pKWbySIRGMgxXQOtGIz1-nbfYLvqrci>`_
        
        
        License
        -------
        
        *Trafilatura* is distributed under the `GNU General Public License v3.0 <https://github.com/adbar/trafilatura/blob/master/LICENSE>`_. If you wish to redistribute this library but feel bounded by the license conditions please try interacting `at arms length <https://www.gnu.org/licenses/gpl-faq.html#GPLInProprietarySystem>`_, `multi-licensing <https://en.wikipedia.org/wiki/Multi-licensing>`_ with `compatible licenses <https://en.wikipedia.org/wiki/GNU_General_Public_License#Compatibility_and_multi-licensing>`_, or `contacting me <https://github.com/adbar/trafilatura#author>`_.
        
        See also `GPL and free software licensing: What's in it for business? <https://www.techrepublic.com/blog/cio-insights/gpl-and-free-software-licensing-whats-in-it-for-business/>`_
        
        
        Contributing
        ~~~~~~~~~~~~
        
        `Contributions <https://github.com/adbar/trafilatura/blob/master/CONTRIBUTING.md>`_ are welcome!
        
        Feel free to file issues on the `dedicated page <https://github.com/adbar/trafilatura/issues>`_. Thanks to the `contributors <https://github.com/adbar/trafilatura/graphs/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 <https://www.dwds.de/d/k-web>`_ (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.
        
        .. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.3460969.svg
           :target: https://doi.org/10.5281/zenodo.3460969
        
        - 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 <https://hal.archives-ouvertes.fr/hal-02447264/document>`_", Proceedings of KONVENS 2019, Kaleidoscope Abstracts, 2019.
        -  Barbaresi, A. "`Efficient construction of metadata-enhanced web corpora <https://hal.archives-ouvertes.fr/hal-01371704v2/document>`_", Proceedings of the `10th Web as Corpus Workshop (WAC-X) <https://www.sigwac.org.uk/wiki/WAC-X>`_, 2016.
        
        You can contact me via my `contact page <https://adrien.barbaresi.eu/>`_ or `GitHub <https://github.com/adbar>`_.
        
        
        Going further
        -------------
        
        **Online documentation:** `trafilatura.readthedocs.io <https://trafilatura.readthedocs.io/>`_.
        
        **Tutorials:** `overview <https://trafilatura.readthedocs.io/en/latest/tutorials.html>`_.
        
        *Trafilatura*: `Italian word <https://en.wiktionary.org/wiki/trafilatura>`_ for `wire drawing <https://en.wikipedia.org/wiki/Wire_drawing>`_.
        
        Corresponding posts on `Bits of Language <https://adrien.barbaresi.eu/blog/tag/trafilatura.html>`_ (blog).
        
Keywords: html2text,nlp,scraper,tei-xml,text-extraction,webscraping,web-scraping
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Information Technology
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Internet :: WWW/HTTP
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Text Processing :: Linguistic
Classifier: Topic :: Text Processing :: Markup :: HTML
Requires-Python: >=3.5
Provides-Extra: all
