Metadata-Version: 2.1
Name: grab
Version: 0.6.40
Summary: Web Scraping Framework
Home-page: http://grablib.org
Author: Gregory Petukhov
Author-email: lorien@lorien.name
Maintainer: Gregory Petukhov
Maintainer-email: lorien@lorien.name
License: MIT License
Download-URL: https://pypi.python.org/pypi/grab
Description: Grab
        ====
        
        .. image:: https://travis-ci.org/lorien/grab.png?branch=master
            :target: https://travis-ci.org/lorien/grab?branch=master
        
        .. image:: https://ci.appveyor.com/api/projects/status/uxj24vjin7gptdlg
            :target: https://ci.appveyor.com/project/lorien/grab
        
        .. image:: https://coveralls.io/repos/lorien/grab/badge.svg?branch=master
            :target: https://coveralls.io/r/lorien/grab?branch=master
        
        .. image:: https://api.codacy.com/project/badge/Grade/18465ca1458b4c5e99026aafa5b58e98
           :target: https://www.codacy.com/app/lorien/grab?utm_source=github.com&utm_medium=referral&utm_content=lorien/grab&utm_campaign=badger
        
        .. image:: https://readthedocs.org/projects/grab/badge/?version=latest
            :target: http://docs.grablib.org/en/latest/
        
        
        What is Grab?
        -------------
        
        Grab is a python web scraping framework. Grab provides a number of helpful methods
        to perform network requests, scrape web sites and process the scraped content:
        
        * Automatic cookies (session) support
        * HTTP and SOCKS proxy with/without authorization
        * Keep-Alive support
        * IDN support
        * Tools to work with web forms
        * Easy multipart file uploading
        * Flexible customization of HTTP requests
        * Automatic charset detection
        * Powerful API to extract data from DOM tree of HTML documents with XPATH queries
        * Asynchronous API to make thousands of simultaneous queries. This part of
          library called Spider. See list of spider fetures below.
        * Python 3 ready
        
        Spider is a framework for writing web-site scrapers. Features:
        
        * Rules and conventions to organize the request/parse logic in separate
          blocks of codes
        * Multiple parallel network requests
        * Automatic processing of network errors (failed tasks go back to task queue)
        * You can create network requests and parse responses with Grab API (see above)
        * HTTP proxy support
        * Caching network results in permanent storage
        * Different backends for task queue (in-memory, redis, mongodb)
        * Tools to debug and collect statistics
        
        
        Grab Example
        ------------
        
        .. code:: python
        
            import logging
        
            from grab import Grab
        
            logging.basicConfig(level=logging.DEBUG)
        
            g = Grab()
        
            g.go('https://github.com/login')
            g.doc.set_input('login', '****')
            g.doc.set_input('password', '****')
            g.doc.submit()
        
            g.doc.save('/tmp/x.html')
        
            g.doc('//ul[@id="user-links"]//button[contains(@class, "signout")]').assert_exists()
        
            home_url = g.doc('//a[contains(@class, "header-nav-link name")]/@href').text()
            repo_url = home_url + '?tab=repositories'
        
            g.go(repo_url)
        
            for elem in g.doc.select('//h3[@class="repo-list-name"]/a'):
                print('%s: %s' % (elem.text(),
                                  g.make_url_absolute(elem.attr('href'))))
        
        
        Grab::Spider Example
        --------------------
        
        .. code:: python
        
            import logging
        
            from grab.spider import Spider, Task
        
            logging.basicConfig(level=logging.DEBUG)
        
        
            class ExampleSpider(Spider):
                def task_generator(self):
                    for lang in 'python', 'ruby', 'perl':
                        url = 'https://www.google.com/search?q=%s' % lang
                        yield Task('search', url=url, lang=lang)
        
                def task_search(self, grab, task):
                    print('%s: %s' % (task.lang,
                                      grab.doc('//div[@class="s"]//cite').text()))
        
        
            bot = ExampleSpider(thread_number=2)
            bot.run()
        
        
        
        Installation
        ------------
        
        .. code:: bash
        
            $ pip install -U grab
        
        See details about installing Grab on different platforms here http://docs.grablib.org/en/latest/usage/installation.html
        
        
        Documentation and Help
        ----------------------
        
        Documentation: http://docs.grablib.org/en/latest/
        
        Mailing list (mostly russian): http://groups.google.com/group/python-grab/
        
        
        Contribution
        ------------
        
        To report a bug please use GitHub issue tracker: https://github.com/lorien/grab/issues
        
        If you want to develop new feature in Grab please use issue tracker to
        describe what you want to do or contact me at lorien@lorien.name
        
Keywords: pycurl multicurl curl network parsing grabbing scraping lxml xpath data mining
Platform: UNKNOWN
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: License :: OSI Approved :: MIT License
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: Operating System :: OS Independent
Classifier: Topic :: Software Development :: Libraries :: Application Frameworks
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Internet :: WWW/HTTP
Provides-Extra: full
