Source: python-scrapy
Maintainer: Debian Python Modules Team <python-modules-team@lists.alioth.debian.org>
Uploaders: Ignace Mouzannar <mouzannar@gmail.com>
Section: python
Priority: optional
Build-Depends: bash-completion,
               debhelper (>= 9),
               dh-python,
               python-all
Build-Depends-Indep: libjs-jquery,
                     python-parsel,
                     python-setuptools,
                     python-sphinx,
                     python-sphinx-rtd-theme,
                     python-twisted-conch,
                     python-twisted-core,
                     python-twisted-web
Standards-Version: 3.9.8
Vcs-Browser: https://anonscm.debian.org/cgit/python-modules/packages/python-scrapy.git
Vcs-Git: https://anonscm.debian.org/git/python-modules/packages/python-scrapy.git
Homepage: http://scrapy.org/
X-Python-Version: >= 2.7

Package: python-scrapy
Architecture: all
Depends: python-boto,
         python-cssselect,
         python-libxml2,
         python-lxml,
         python-queuelib,
         python-twisted-conch,
         python-twisted-core,
         python-twisted-mail,
         python-twisted-web,
         python-w3lib (>= 1.8),
         ${misc:Depends},
         ${python:Depends}
Recommends: ipython,
            python-imaging,
            python-mysqldb,
            python-pygments
Suggests: python-openssl
Description: Python web scraping and crawling framework
 Scrapy is a fast high-level screen scraping and web crawling framework,
 used to crawl websites and extract structured data from their pages.
 It can be used for a wide range of purposes, from data mining to
 monitoring and automated testing.
 .
 This package provides the python-scrapy script and modules.

Package: python-scrapy-doc
Architecture: all
Section: doc
Depends: ${misc:Depends},
         ${sphinxdoc:Depends}
Description: Python web scraping and crawling framework documentation
 Scrapy is a fast high-level screen scraping and web crawling framework,
 used to crawl websites and extract structured data from their pages.
 It can be used for a wide range of purposes, from data mining to
 monitoring and automated testing.
 .
 This package provides the python-scrapy documentation in HTML format.
