Metadata-Version: 2.0
Name: piculet
Version: 1.0b3
Summary: XML/HTML scraper using XPath queries.
Home-page: https://bitbucket.org/uyar/piculet
Author: H. Turgut Uyar
Author-email: uyar@tekir.org
License: LGPL
Keywords: xml html xpath scrape json
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: GNU Lesser General Public License v3 or later (LGPLv3+)
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Text Processing :: Markup :: HTML
Classifier: Topic :: Text Processing :: Markup :: XML
Classifier: Topic :: Utilities
Provides-Extra: dev
Requires-Dist: flake8; extra == 'dev'
Requires-Dist: flake8-docstrings; extra == 'dev'
Requires-Dist: flake8-isort; extra == 'dev'
Requires-Dist: twine; extra == 'dev'
Requires-Dist: wheel; extra == 'dev'
Provides-Extra: doc
Requires-Dist: pygenstub; extra == 'doc'
Requires-Dist: sphinx; extra == 'doc'
Requires-Dist: sphinx-rtd-theme; extra == 'doc'
Provides-Extra: test
Requires-Dist: pytest; extra == 'test'
Requires-Dist: pytest-cov; extra == 'test'

Piculet is a module and a utility for extracting data from XML documents
using XPath queries. It can also scrape web pages by first converting
the HTML source into XHTML. Piculet consists of a `single source file`_
with no dependencies other than the standard library, which makes it very easy
to integrate into applications.

.. _single source file: https://bitbucket.org/uyar/piculet/src/tip/piculet.py

:PyPI: https://pypi.python.org/pypi/piculet/
:Repository: https://bitbucket.org/uyar/piculet
:Documentation: https://piculet.readthedocs.io/

Piculet has been tested with Python 2.7, Python 3.3+, PyPy2 5.7, and PyPy3 5.7.
You can install the latest version from PyPI::

   pip install piculet

Installing Piculet creates a script named ``piculet`` which can be used
to invoke the command-line interface::

   $ piculet -h
   usage: piculet [-h] [--debug] command ...

The ``scrape`` command extracts data out of a document as described by
a specification file::

   $ piculet scrape -h
   usage: piculet scrape [-h] -s SPEC [--html] document

The location of the document can be given as a file path or a URL.
The specification file is in JSON format and contains the rules that define
how to extract the data. For example, say you want to extract some data
from the file `shining.html`_. An example specification file is given
in `movie.json`_. Download both these files and run the command::

   piculet scrape -s movie.json shining.html

This should print the following output::

   {
     "cast": [
       {
         "character": "Jack Torrance",
         "link": "/people/2",
         "name": "Jack Nicholson"
       },
       {
         "character": "Wendy Torrance",
         "link": "/people/3",
         "name": "Shelley Duvall"
       }
     ],
     "director": {
       "link": "/people/1",
       "name": "Stanley Kubrick"
     },
     "genres": [
       "Horror",
       "Drama"
     ],
     "language": "English",
     "review": "Fantastic movie. Definitely recommended.",
     "runtime": "144 minutes",
     "title": "The Shining",
     "year": "1980"
   }

If the document is in HTML format but it is not well-formed XML,
the ``--html`` option has to be used. If the document address
starts with ``http://`` or ``https://``, the given URL is downloaded
and the rules are applied to the content. For example, to extract some data
from the Wikipedia page for `David Bowie`_, download the `wikipedia.json`_ file
and run the command::

   piculet scrape -s wikipedia.json --html "https://en.wikipedia.org/wiki/David_Bowie"

This should print the following output::

   {
     "birthplace": "Brixton, London, England",
     "born": "1947-01-08",
     "died": "2016-01-10",
     "name": "David Bowie",
     "occupation": [
       "Singer",
       "songwriter",
       "actor"
     ]
   }

In the same command, change the name part of the URL to ``Merlene_Ottey`` and
you will get similar data for `Merlene Ottey`_. Note that since the markup
used in Wikipedia pages for persons varies, the kinds of data you get
with this specification file will also vary.

Piculet can be used as an HTML to XHTML convertor by invoking it with
the ``h2x`` command. This command takes the file name as input and prints
the converted content, as in ``piculet h2x foo.html``. If the input file name
is given as ``-`` it will read the content from the standard input
and therefore can be used as part of a pipe:
``cat foo.html | piculet h2x -``

.. _shining.html: https://bitbucket.org/uyar/piculet/src/tip/examples/shining.html
.. _movie.json: https://bitbucket.org/uyar/piculet/src/tip/examples/movie.json
.. _wikipedia.json: https://bitbucket.org/uyar/piculet/src/tip/examples/wikipedia.json
.. _David Bowie: https://en.wikipedia.org/wiki/David_Bowie
.. _Merlene Ottey: https://en.wikipedia.org/wiki/Merlene_Ottey




History
=======

1.0b3 (2017-07-25)
------------------

* Removed the caching feature.

1.0b2 (2017-06-16)
------------------

* Added helper function for getting cache hash keys of URLs.

1.0b1 (2017-04-26)
------------------

* Added optional value transformations.
* Added support for custom reducer callables.
* Added command-line option for scraping documents from local files.

1.0a2 (2017-04-04)
------------------

* Added support for Python 2.7.
* Fixed lxml support.

1.0a1 (2016-08-24)
------------------

* First release on PyPI.


