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https://github.com/scrapinghub/extruct
Extract embedded metadata from HTML markup
https://github.com/scrapinghub/extruct
hacktoberfest json-ld microdata microformats opengraph rdfa semantic-web
Last synced: 5 days ago
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Extract embedded metadata from HTML markup
- Host: GitHub
- URL: https://github.com/scrapinghub/extruct
- Owner: scrapinghub
- License: bsd-3-clause
- Created: 2015-10-26T11:51:21.000Z (about 9 years ago)
- Default Branch: master
- Last Pushed: 2024-04-12T11:32:57.000Z (7 months ago)
- Last Synced: 2024-04-15T01:20:14.225Z (7 months ago)
- Topics: hacktoberfest, json-ld, microdata, microformats, opengraph, rdfa, semantic-web
- Language: Python
- Homepage:
- Size: 993 KB
- Stars: 816
- Watchers: 117
- Forks: 112
- Open Issues: 51
-
Metadata Files:
- Readme: README.rst
- Changelog: HISTORY.rst
- License: LICENSE
- Authors: AUTHORS
Awesome Lists containing this project
- best-of-web-python - GitHub - 47% open · ⏱️ 29.05.2024): (Web Scraping & Crawling)
README
=======
extruct
=======
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*extruct* is a library for extracting embedded metadata from HTML markup.
Currently, *extruct* supports:
- `W3C's HTML Microdata`_
- `embedded JSON-LD`_
- `Microformat`_ via `mf2py`_
- `Facebook's Open Graph`_
- (experimental) `RDFa`_ via `rdflib`_
- `Dublin Core Metadata (DC-HTML-2003)`_
.. _W3C's HTML Microdata: http://www.w3.org/TR/microdata/
.. _embedded JSON-LD: http://www.w3.org/TR/json-ld/#embedding-json-ld-in-html-documents
.. _RDFa: https://www.w3.org/TR/html-rdfa/
.. _rdflib: https://pypi.python.org/pypi/rdflib/
.. _Microformat: http://microformats.org/wiki/Main_Page
.. _mf2py: https://github.com/microformats/mf2py
.. _Facebook's Open Graph: http://ogp.me/
.. _Dublin Core Metadata (DC-HTML-2003): https://www.dublincore.org/specifications/dublin-core/dcq-html/2003-11-30/
The microdata algorithm is a revisit of `this Scrapinghub blog post`_ showing how to use EXSLT extensions.
.. _this Scrapinghub blog post: http://blog.scrapinghub.com/2014/06/18/extracting-schema-org-microdata-using-scrapy-selectors-and-xpath/
Installation
------------
::
pip install extruct
Usage
-----
All-in-one extraction
+++++++++++++++++++++
The simplest example how to use extruct is to call
``extruct.extract(htmlstring, base_url=base_url)``
with some HTML string and an optional base URL.
Let's try this on a webpage that uses all the syntaxes supported (RDFa with `ogp`_).
First fetch the HTML using python-requests and then feed the response body to ``extruct``::
>>> import extruct
>>> import requests
>>> import pprint
>>> from w3lib.html import get_base_url
>>>
>>> pp = pprint.PrettyPrinter(indent=2)
>>> r = requests.get('https://www.optimizesmart.com/how-to-use-open-graph-protocol/')
>>> base_url = get_base_url(r.text, r.url)
>>> data = extruct.extract(r.text, base_url=base_url)
>>>
>>> pp.pprint(data)
{ 'dublincore': [ { 'elements': [ { 'URI': 'http://purl.org/dc/elements/1.1/description',
'content': 'What is Open Graph Protocol '
'and why you need it? Learn to '
'implement Open Graph Protocol '
'for Facebook on your website. '
'Open Graph Protocol Meta Tags.',
'name': 'description'}],
'namespaces': {},
'terms': []}],
'json-ld': [ { '@context': 'https://schema.org',
'@id': '#organization',
'@type': 'Organization',
'logo': 'https://www.optimizesmart.com/wp-content/uploads/2016/03/optimize-smart-Twitter-logo.jpg',
'name': 'Optimize Smart',
'sameAs': [ 'https://www.facebook.com/optimizesmart/',
'https://uk.linkedin.com/in/analyticsnerd',
'https://www.youtube.com/user/optimizesmart',
'https://twitter.com/analyticsnerd'],
'url': 'https://www.optimizesmart.com/'}],
'microdata': [ { 'properties': {'headline': ''},
'type': 'http://schema.org/WPHeader'}],
'microformat': [ { 'children': [ { 'properties': { 'category': [ 'specialized-tracking'],
'name': [ 'Open Graph '
'Protocol for '
'Facebook '
'explained with '
'examples\n'
'\n'
'Specialized '
'Tracking\n'
'\n'
'\n'
(...)
'Follow '
'@analyticsnerd\n'
'!function(d,s,id){var '
"js,fjs=d.getElementsByTagName(s)[0],p=/^http:/.test(d.location)?'http':'https';if(!d.getElementById(id)){js=d.createElement(s);js.id=id;js.src=p+'://platform.twitter.com/widgets.js';fjs.parentNode.insertBefore(js,fjs);}}(document, "
"'script', "
"'twitter-wjs');"]},
'type': ['h-entry']}],
'properties': { 'name': [ 'Open Graph Protocol for '
'Facebook explained with '
'examples\n'
(...)
'Follow @analyticsnerd\n'
'!function(d,s,id){var '
"js,fjs=d.getElementsByTagName(s)[0],p=/^http:/.test(d.location)?'http':'https';if(!d.getElementById(id)){js=d.createElement(s);js.id=id;js.src=p+'://platform.twitter.com/widgets.js';fjs.parentNode.insertBefore(js,fjs);}}(document, "
"'script', 'twitter-wjs');"]},
'type': ['h-feed']}],
'opengraph': [ { 'namespace': {'og': 'http://ogp.me/ns#'},
'properties': [ ('og:locale', 'en_US'),
('og:type', 'article'),
( 'og:title',
'Open Graph Protocol for Facebook '
'explained with examples'),
( 'og:description',
'What is Open Graph Protocol and why you '
'need it? Learn to implement Open Graph '
'Protocol for Facebook on your website. '
'Open Graph Protocol Meta Tags.'),
( 'og:url',
'https://www.optimizesmart.com/how-to-use-open-graph-protocol/'),
('og:site_name', 'Optimize Smart'),
( 'og:updated_time',
'2018-03-09T16:26:35+00:00'),
( 'og:image',
'https://www.optimizesmart.com/wp-content/uploads/2010/07/open-graph-protocol.jpg'),
( 'og:image:secure_url',
'https://www.optimizesmart.com/wp-content/uploads/2010/07/open-graph-protocol.jpg')]}],
'rdfa': [ { '@id': 'https://www.optimizesmart.com/how-to-use-open-graph-protocol/#header',
'http://www.w3.org/1999/xhtml/vocab#role': [ { '@id': 'http://www.w3.org/1999/xhtml/vocab#banner'}]},
{ '@id': 'https://www.optimizesmart.com/how-to-use-open-graph-protocol/',
'article:modified_time': [ { '@value': '2018-03-09T16:26:35+00:00'}],
'article:published_time': [ { '@value': '2010-07-02T18:57:23+00:00'}],
'article:publisher': [ { '@value': 'https://www.facebook.com/optimizesmart/'}],
'article:section': [{'@value': 'Specialized Tracking'}],
'http://ogp.me/ns#description': [ { '@value': 'What is Open '
'Graph Protocol '
'and why you need '
'it? Learn to '
'implement Open '
'Graph Protocol '
'for Facebook on '
'your website. '
'Open Graph '
'Protocol Meta '
'Tags.'}],
'http://ogp.me/ns#image': [ { '@value': 'https://www.optimizesmart.com/wp-content/uploads/2010/07/open-graph-protocol.jpg'}],
'http://ogp.me/ns#image:secure_url': [ { '@value': 'https://www.optimizesmart.com/wp-content/uploads/2010/07/open-graph-protocol.jpg'}],
'http://ogp.me/ns#locale': [{'@value': 'en_US'}],
'http://ogp.me/ns#site_name': [{'@value': 'Optimize Smart'}],
'http://ogp.me/ns#title': [ { '@value': 'Open Graph Protocol for '
'Facebook explained with '
'examples'}],
'http://ogp.me/ns#type': [{'@value': 'article'}],
'http://ogp.me/ns#updated_time': [ { '@value': '2018-03-09T16:26:35+00:00'}],
'http://ogp.me/ns#url': [ { '@value': 'https://www.optimizesmart.com/how-to-use-open-graph-protocol/'}],
'https://api.w.org/': [ { '@id': 'https://www.optimizesmart.com/wp-json/'}]}]}
Select syntaxes
+++++++++++++++
It is possible to select which syntaxes to extract by passing a list with the desired ones to extract. Valid values: 'microdata', 'json-ld', 'opengraph', 'microformat', 'rdfa' and 'dublincore'. If no list is passed all syntaxes will be extracted and returned::
>>> r = requests.get('http://www.songkick.com/artists/236156-elysian-fields')
>>> base_url = get_base_url(r.text, r.url)
>>> data = extruct.extract(r.text, base_url, syntaxes=['microdata', 'opengraph', 'rdfa'])
>>>
>>> pp.pprint(data)
{ 'microdata': [],
'opengraph': [ { 'namespace': { 'concerts': 'http://ogp.me/ns/fb/songkick-concerts#',
'fb': 'http://www.facebook.com/2008/fbml',
'og': 'http://ogp.me/ns#'},
'properties': [ ('fb:app_id', '308540029359'),
('og:site_name', 'Songkick'),
('og:type', 'songkick-concerts:artist'),
('og:title', 'Elysian Fields'),
( 'og:description',
'Find out when Elysian Fields is next '
'playing live near you. List of all '
'Elysian Fields tour dates and concerts.'),
( 'og:url',
'https://www.songkick.com/artists/236156-elysian-fields'),
( 'og:image',
'http://images.sk-static.com/images/media/img/col4/20100330-103600-169450.jpg')]}],
'rdfa': [ { '@id': 'https://www.songkick.com/artists/236156-elysian-fields',
'al:ios:app_name': [{'@value': 'Songkick Concerts'}],
'al:ios:app_store_id': [{'@value': '438690886'}],
'al:ios:url': [ { '@value': 'songkick://artists/236156-elysian-fields'}],
'http://ogp.me/ns#description': [ { '@value': 'Find out when '
'Elysian Fields is '
'next playing live '
'near you. List of '
'all Elysian '
'Fields tour dates '
'and concerts.'}],
'http://ogp.me/ns#image': [ { '@value': 'http://images.sk-static.com/images/media/img/col4/20100330-103600-169450.jpg'}],
'http://ogp.me/ns#site_name': [{'@value': 'Songkick'}],
'http://ogp.me/ns#title': [{'@value': 'Elysian Fields'}],
'http://ogp.me/ns#type': [{'@value': 'songkick-concerts:artist'}],
'http://ogp.me/ns#url': [ { '@value': 'https://www.songkick.com/artists/236156-elysian-fields'}],
'http://www.facebook.com/2008/fbmlapp_id': [ { '@value': '308540029359'}]}]}
Alternatively, if you already parsed the HTML before calling extruct, you can use the tree instead of the HTML string: ::
>>> # using the request from the previous example
>>> base_url = get_base_url(r.text, r.url)
>>> from extruct.utils import parse_html
>>> tree = parse_html(r.text)
>>> data = extruct.extract(tree, base_url, syntaxes=['microdata', 'opengraph', 'rdfa'])
Microformat format doesn't support the HTML tree, so you need to use a HTML string.
Uniform
+++++++
Another option is to uniform the output of microformat, opengraph, microdata, dublincore and json-ld syntaxes to the following structure: ::
{'@context': 'http://example.com',
'@type': 'example_type',
/* All other the properties in keys here */
}
To do so set ``uniform=True`` when calling ``extract``, it's false by default for backward compatibility. Here the same example as before but with uniform set to True: ::
>>> r = requests.get('http://www.songkick.com/artists/236156-elysian-fields')
>>> base_url = get_base_url(r.text, r.url)
>>> data = extruct.extract(r.text, base_url, syntaxes=['microdata', 'opengraph', 'rdfa'], uniform=True)
>>>
>>> pp.pprint(data)
{ 'microdata': [],
'opengraph': [ { '@context': { 'concerts': 'http://ogp.me/ns/fb/songkick-concerts#',
'fb': 'http://www.facebook.com/2008/fbml',
'og': 'http://ogp.me/ns#'},
'@type': 'songkick-concerts:artist',
'fb:app_id': '308540029359',
'og:description': 'Find out when Elysian Fields is next '
'playing live near you. List of all '
'Elysian Fields tour dates and concerts.',
'og:image': 'http://images.sk-static.com/images/media/img/col4/20100330-103600-169450.jpg',
'og:site_name': 'Songkick',
'og:title': 'Elysian Fields',
'og:url': 'https://www.songkick.com/artists/236156-elysian-fields'}],
'rdfa': [ { '@id': 'https://www.songkick.com/artists/236156-elysian-fields',
'al:ios:app_name': [{'@value': 'Songkick Concerts'}],
'al:ios:app_store_id': [{'@value': '438690886'}],
'al:ios:url': [ { '@value': 'songkick://artists/236156-elysian-fields'}],
'http://ogp.me/ns#description': [ { '@value': 'Find out when '
'Elysian Fields is '
'next playing live '
'near you. List of '
'all Elysian '
'Fields tour dates '
'and concerts.'}],
'http://ogp.me/ns#image': [ { '@value': 'http://images.sk-static.com/images/media/img/col4/20100330-103600-169450.jpg'}],
'http://ogp.me/ns#site_name': [{'@value': 'Songkick'}],
'http://ogp.me/ns#title': [{'@value': 'Elysian Fields'}],
'http://ogp.me/ns#type': [{'@value': 'songkick-concerts:artist'}],
'http://ogp.me/ns#url': [ { '@value': 'https://www.songkick.com/artists/236156-elysian-fields'}],
'http://www.facebook.com/2008/fbmlapp_id': [ { '@value': '308540029359'}]}]}
NB rdfa structure is not uniformed yet.
Returning HTML node
+++++++++++++++++++
It is also possible to get references to HTML node for every extracted metadata item.
The feature is supported only by microdata syntax.
To use that, just set the ``return_html_node`` option of ``extract`` method to ``True``.
As the result, an additional key "nodeHtml" will be included in the result for every
item. Each node is of ``lxml.etree.Element`` type: ::
>>> r = requests.get('http://www.rugpadcorner.com/shop/no-muv/')
>>> base_url = get_base_url(r.text, r.url)
>>> data = extruct.extract(r.text, base_url, syntaxes=['microdata'], return_html_node=True)
>>>
>>> pp.pprint(data)
{ 'microdata': [ { 'htmlNode': ,
'properties': { 'description': 'KEEP RUGS FLAT ON CARPET!\n'
'Not your thin sticky pad, '
'No-Muv is truly the best!',
'image': ['', ''],
'name': ['No-Muv', 'No-Muv'],
'offers': [ { 'htmlNode': ,
'properties': { 'availability': 'http://schema.org/InStock',
'price': 'Price: '
'$45'},
'type': 'http://schema.org/Offer'},
{ 'htmlNode': ,
'properties': { 'availability': 'http://schema.org/InStock',
'price': '(Select '
'Size/Shape '
'for '
'Pricing)'},
'type': 'http://schema.org/Offer'}],
'ratingValue': ['5.00', '5.00']},
'type': 'http://schema.org/Product'}]}
Single extractors
-----------------
You can also use each extractor individually. See below.
Microdata extraction
++++++++++++++++++++
::
>>> import pprint
>>> pp = pprint.PrettyPrinter(indent=2)
>>>
>>> from extruct.w3cmicrodata import MicrodataExtractor
>>>
>>> # example from http://www.w3.org/TR/microdata/#associating-names-with-items
>>> html = """
...
...
... Photo gallery
...
...
...
My photos
...
... 
... The house I found.
...
...
... 
... The mailbox.
...
...
... All images licensed under the MIT
... license.
...
...
... """
>>>
>>> mde = MicrodataExtractor()
>>> data = mde.extract(html)
>>> pp.pprint(data)
[{'properties': {'license': 'http://www.opensource.org/licenses/mit-license.php',
'title': 'The house I found.',
'work': 'http://www.example.com/images/house.jpeg'},
'type': 'http://n.whatwg.org/work'},
{'properties': {'license': 'http://www.opensource.org/licenses/mit-license.php',
'title': 'The mailbox.',
'work': 'http://www.example.com/images/mailbox.jpeg'},
'type': 'http://n.whatwg.org/work'}]
JSON-LD extraction
++++++++++++++++++
::
>>> import pprint
>>> pp = pprint.PrettyPrinter(indent=2)
>>>
>>> from extruct.jsonld import JsonLdExtractor
>>>
>>> html = """
...
...
... Some Person Page
...
...
...
This guys
...
... {
... "@context": "http://schema.org",
... "@type": "Person",
... "name": "John Doe",
... "jobTitle": "Graduate research assistant",
... "affiliation": "University of Dreams",
... "additionalName": "Johnny",
... "url": "http://www.example.com",
... "address": {
... "@type": "PostalAddress",
... "streetAddress": "1234 Peach Drive",
... "addressLocality": "Wonderland",
... "addressRegion": "Georgia"
... }
... }
...
...
... """
>>>
>>> jslde = JsonLdExtractor()
>>>
>>> data = jslde.extract(html)
>>> pp.pprint(data)
[{'@context': 'http://schema.org',
'@type': 'Person',
'additionalName': 'Johnny',
'address': {'@type': 'PostalAddress',
'addressLocality': 'Wonderland',
'addressRegion': 'Georgia',
'streetAddress': '1234 Peach Drive'},
'affiliation': 'University of Dreams',
'jobTitle': 'Graduate research assistant',
'name': 'John Doe',
'url': 'http://www.example.com'}]
RDFa extraction (experimental)
++++++++++++++++++++++++++++++
::
>>> import pprint
>>> pp = pprint.PrettyPrinter(indent=2)
>>> from extruct.rdfa import RDFaExtractor # you can ignore the warning about html5lib not being available
INFO:rdflib:RDFLib Version: 4.2.1
/home/paul/.virtualenvs/extruct.wheel.test/lib/python3.5/site-packages/rdflib/plugins/parsers/structureddata.py:30: UserWarning: html5lib not found! RDFa and Microdata parsers will not be available.
'parsers will not be available.')
>>>
>>> html = """
...
... ...
...
...
...
... The trouble with Bob
... ...
... Alice
...
... The trouble with Bob is that he takes much better photos than I do:
...
... ...
...
...
...
... """
>>>
>>> rdfae = RDFaExtractor()
>>> pp.pprint(rdfae.extract(html, base_url='http://www.example.com/index.html'))
[{'@id': 'http://www.example.com/alice/posts/trouble_with_bob',
'@type': ['http://schema.org/BlogPosting'],
'http://purl.org/dc/terms/creator': [{'@id': 'http://www.example.com/index.html#me'}],
'http://purl.org/dc/terms/title': [{'@value': 'The trouble with Bob'}],
'http://schema.org/articleBody': [{'@value': '\n'
' The trouble with Bob '
'is that he takes much better '
'photos than I do:\n'
' '}],
'http://schema.org/creator': [{'@id': 'http://www.example.com/index.html#me'}]}]
You'll get a list of expanded JSON-LD nodes.
Open Graph extraction
++++++++++++++++++++++++++++++
::
>>> import pprint
>>> pp = pprint.PrettyPrinter(indent=2)
>>>
>>> from extruct.opengraph import OpenGraphExtractor
>>>
>>> html = """
...
...
... Himanshu's Open Graph Protocol
...
...
...
...
...
...
...
...
...
...
...
...
...
...
... (function(d, s, id) {
... var js, fjs = d.getElementsByTagName(s)[0];
... if (d.getElementById(id)) return;
... js = d.createElement(s); js.id = id;
... js.src = "//connect.facebook.net/en_US/all.js#xfbml=1&appId=501839739845103";
... fjs.parentNode.insertBefore(js, fjs);
... }(document, 'script', 'facebook-jssdk'));
...
... """
>>>
>>> opengraphe = OpenGraphExtractor()
>>> pp.pprint(opengraphe.extract(html))
[{"namespace": {
"og": "http://ogp.me/ns#"
},
"properties": [
[
"og:title",
"Himanshu's Open Graph Protocol"
],
[
"og:type",
"article"
],
[
"og:url",
"https://www.eventeducation.com/test.php"
],
[
"og:image",
"https://www.eventeducation.com/images/982336_wedding_dayandouan_th.jpg"
],
[
"og:site_name",
"Event Education"
],
[
"og:description",
"Event Education provides free courses on event planning and management to event professionals worldwide."
]
]
}]
Microformat extraction
++++++++++++++++++++++++++++++
::
>>> import pprint
>>> pp = pprint.PrettyPrinter(indent=2)
>>>
>>> from extruct.microformat import MicroformatExtractor
>>>
>>> html = """
...
...
... Himanshu's Open Graph Protocol
...
...
...
...
...
...
...
Microformats are amazing
... Published by W. Developer
... on
... In which I extoll the virtues of using microformats.
...
... Blah blah blah
...
...
...
...
... """
>>>
>>> microformate = MicroformatExtractor()
>>> data = microformate.extract(html)
>>> pp.pprint(data)
[{"type": [
"h-entry"
],
"properties": {
"name": [
"Microformats are amazing"
],
"author": [
{
"type": [
"h-card"
],
"properties": {
"name": [
"W. Developer"
],
"url": [
"http://example.com"
]
},
"value": "W. Developer"
}
],
"published": [
"2013-06-13 12:00:00"
],
"summary": [
"In which I extoll the virtues of using microformats."
],
"content": [
{
"html": "\nBlah blah blah
\n",
"value": "\nBlah blah blah\n"
}
]
}
}]
DublinCore extraction
++++++++++++++++++++++++++++++
::
>>> import pprint
>>> pp = pprint.PrettyPrinter(indent=2)
>>> from extruct.dublincore import DublinCoreExtractor
>>> html = '''
... Expressing Dublin Core in HTML/XHTML meta and link elements
...
...
...
...
...
...
...
...
...
...
...
...
...
... '''
>>> dublinlde = DublinCoreExtractor()
>>> data = dublinlde.extract(html)
>>> pp.pprint(data)
[ { 'elements': [ { 'URI': 'http://purl.org/dc/elements/1.1/title',
'content': 'Expressing Dublin Core\n'
'in HTML/XHTML meta and link elements',
'lang': 'en',
'name': 'DC.title'},
{ 'URI': 'http://purl.org/dc/elements/1.1/creator',
'content': 'Andy Powell, UKOLN, University of Bath',
'name': 'DC.creator'},
{ 'URI': 'http://purl.org/dc/elements/1.1/identifier',
'content': 'http://dublincore.org/documents/dcq-html/',
'name': 'DC.identifier',
'scheme': 'DCTERMS.URI'},
{ 'URI': 'http://purl.org/dc/elements/1.1/format',
'content': 'text/html',
'name': 'DC.format',
'scheme': 'DCTERMS.IMT'},
{ 'URI': 'http://purl.org/dc/elements/1.1/type',
'content': 'Text',
'name': 'DC.type',
'scheme': 'DCTERMS.DCMIType'}],
'namespaces': { 'DC': 'http://purl.org/dc/elements/1.1/',
'DCTERMS': 'http://purl.org/dc/terms/'},
'terms': [ { 'URI': 'http://purl.org/dc/terms/issued',
'content': '2003-11-01',
'name': 'DCTERMS.issued',
'scheme': 'DCTERMS.W3CDTF'},
{ 'URI': 'http://purl.org/dc/terms/abstract',
'content': 'This document describes how\n'
'qualified Dublin Core metadata can be encoded\n'
'in HTML/XHTML elements',
'name': 'DCTERMS.abstract'},
{ 'URI': 'http://purl.org/dc/terms/modified',
'content': '2001-07-18',
'name': 'DC.Date.modified'},
{ 'URI': 'http://purl.org/dc/terms/modified',
'content': '2001-07-18',
'name': 'DCTERMS.modified'},
{ 'URI': 'http://purl.org/dc/terms/replaces',
'href': 'http://dublincore.org/documents/2000/08/15/dcq-html/',
'hreflang': 'en',
'rel': 'DCTERMS.replaces'}]}]
Command Line Tool
-----------------
*extruct* provides a command line tool that allows you to fetch a page and
extract the metadata from it directly from the command line.
Dependencies
++++++++++++
The command line tool depends on ``requests``, which is not installed by default
when you install **extruct**. In order to use the command line tool, you can
install **extruct** with the `cli` extra requirements::
pip install 'extruct[cli]'
Usage
+++++
::
extruct "http://example.com"
Downloads "http://example.com" and outputs the Microdata, JSON-LD and RDFa, Open Graph
and Microformat metadata to `stdout`.
Supported Parameters
++++++++++++++++++++
By default, the command line tool will try to extract all the supported
metadata formats from the page (currently Microdata, JSON-LD, RDFa, Open Graph
and Microformat). If you want to restrict the output to just one or a subset of
those, you can pass their individual names collected in a list through 'syntaxes' argument.
For example, this command extracts only Microdata and JSON-LD metadata from
"http://example.com"::
extruct "http://example.com" --syntaxes microdata json-ld
NB syntaxes names passed must correspond to these: microdata, json-ld, rdfa, opengraph, microformat
Development version
-------------------
::
mkvirtualenv extruct
pip install -r requirements-dev.txt
Tests
-----
Run tests in current environment::
py.test tests
Use tox_ to run tests with different Python versions::
tox
.. _tox: https://testrun.org/tox/latest/
.. _ogp: https://ogp.me/