{
    "info": {
        "author": "Ronald Schmidt",
        "author_email": "ronald.schmidt@zu-web.de",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Topic :: Internet"
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        "description": "=========\nSerpScrap\n=========\n\n.. image:: https://img.shields.io/pypi/v/SerpScrap.svg\n    :target: https://pypi.python.org/pypi/SerpScrap\n\n.. image:: https://readthedocs.org/projects/serpscrap/badge/?version=latest\n    :target: http://serpscrap.readthedocs.io/en/latest/\n    :alt: Documentation Status\n\n.. image:: https://travis-ci.org/ecoron/SerpScrap.svg?branch=master\n    :target: https://travis-ci.org/ecoron/SerpScrap\n\n.. image:: https://img.shields.io/docker/pulls/ecoron/serpscrap.svg\n    :target: https://hub.docker.com/r/ecoron/serpscrap\n\nSEO python scraper to extract data from major searchengine result pages.\nExtract data like url, title, snippet, richsnippet and the type from searchresults for given keywords. Detect Ads or make automated screenshots.\nYou can also fetch text content of urls provided in searchresults or by your own.\nIt's usefull for SEO and business related research tasks.\n\n\nExtract these result types\n--------------------------\n\n* ads_main - advertisements within regular search results\n* image - result from image search\n* news - news teaser within regular search results\n* results - standard search result\n* shopping - shopping teaser within regular search results\n* videos - video teaser within regular search results\n\nFor each result of a resultspage get\n====================================\n\n* domain\n* rank\n* rich snippet\n* site links\n* snippet\n* title\n* type\n* url\n* visible url\n\nAlso get a screenshot of each result page.\nYou can also scrape the text content of each result url.\nIt is also possible to save the results as CSV for future analytics.\nIf required you can also use your own proxylist.\n\n\nRessources\n----------\n\nSee http://serpscrap.readthedocs.io/en/latest/ for documentation.\n\nSource is available at https://github.com/ecoron/SerpScrap\n\n\nInstall\n-------\n\nThe easy way to do:\n\n.. code-block:: python\n\n   pip uninstall SerpScrap -y\n   pip install SerpScrap --upgrade\n\nMore details in the `install`_ section of the documentation.\n\n\nUsage\n=====\n\nSerpScrap in your applications\n\n.. code-block:: python\n\n  #!/usr/bin/python3\n  # -*- coding: utf-8 -*-\n  import pprint\n  import serpscrap\n\n  keywords = ['example']\n\n  config = serpscrap.Config()\n  config.set('scrape_urls', False)\n\n  scrap = serpscrap.SerpScrap()\n  scrap.init(config=config.get(), keywords=keywords)\n results = scrap.run()\n\n  for result in results:\n      pprint.pprint(result)\n\nMore detailes in the `examples`_ section of the documentation.\n\nTo avoid encode/decode issues use this command before you start using SerpScrap in your cli.\n\n.. code-block:: bash\n\n   chcp 65001\n   set PYTHONIOENCODING=utf-8\n\n\n.. image:: https://raw.githubusercontent.com/ecoron/SerpScrap/master/docs/logo.png\n    :target: https://github.com/ecoron/SerpScrap\n\nSupported OS\n------------\n\n* SerpScrap should work on Linux, Windows and Mac OS with installed Python >= 3.4\n* SerpScrap requieres lxml\n* Doesn't work on iOS\n\nChanges\n-------\nNotes about major changes between releases\n\n0.13.0\n------\n\n* updated dependencies: chromedriver >= 76.0.3809.68 to use actual driver, sqlalchemy>=1.3.7 to solve security issues and other minor update changes\n* minor changes install_chrome.sh\n\n0.12.0\n======\n\nI recommend an update to the latest version of SerpScrap, because the searchengine has updated the markup of search result pages(serp)\n\n* Update and cleanup of selectors to fetch results\n* new resulttype videos\n\n0.11.0\n======\n\n* Chrome headless is now the default browser, usage of phantomJS is deprecated\n* chromedriver is installed on the first run (tested on Linux and Windows. Mac OS should also work)\n* behavior of scraping raw text contents from serp urls, and of course given urls, has changed\n* run scraping of serp results and contents at once\n* csv output format changed, now it's tab separated and quoted\n\n0.10.0\n======\n\n* support for headless chrome, adjusted default time between scrapes\n\n0.9.0\n=====\n\n* result types added (news, shopping, image)\n* Image search is supported\n\n0.8.0\n=====\n\n* text processing tools removed.\n* less requirements\n\n\nReferences\n----------\n\nSerpScrap is using `Chrome headless`_ and `lxml`_ to scrape serp results. For raw text contents of fetched URL's, it is using `beautifulsoup4`_ .\nSerpScrap also supports `PhantomJs`_ ,which is deprecated, a scriptable headless WebKit, which is installed automaticly on the first run (Linux, Windows).\nThe scrapcore was based on `GoogleScraper`_ , an outdated project, and has many changes and improvemts.\n\n.. target-notes::\n\n.. _`install`: http://serpscrap.readthedocs.io/en/latest/install.html\n.. _`examples`: http://serpscrap.readthedocs.io/en/latest/examples.html\n.. _`Chrome headless`: http://chromedriver.chromium.org/\n.. _`lxml`: https://lxml.de/\n.. _`beautifulsoup4`: https://www.crummy.com/software/BeautifulSoup/\n.. _`PhantomJs`: https://github.com/ariya/phantomjs\n.. _`GoogleScraper`: https://github.com/NikolaiT/GoogleScraper\n\n\n\n",
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