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    "info": {
        "author": "Chidi Matthew Orji",
        "author_email": "orjichidi95@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Environment :: Web Environment",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 3.6",
            "Topic :: Internet :: WWW/HTTP :: Browsers"
        ],
        "description": "# pywebber\n\nPython Web Development Tools\n\n![Alt text](https://img.shields.io/badge/py__webber-stable-blue.svg)\n\n## Utilities\n\n1. Link and words harvester [Ripper](https://pywebber.readthedocs.io/en/latest/#pageripper)\n\n1. Text generator [LoremPysum](https://pywebber.readthedocs.io/en/latest/#lorempysum)\n\n## Installation\n\n    pip install pywebber --upgrade\n    pip install https://github.com/Parousiaic/pywebber/archive/master.zip\n\n## Usage\n\n### Ripper - harvest words and links on a static web page.\n\n    $ from pywebber import Ripper\n\nAccess words and links is easy\n\n    $ page = Ripper('http://python.org')\n    $ soup = page.soup\n    $ uncleaned_links = page.raw_links # all raw <a> tags on page as bs4 objects\n    $ cleaned_links = page.links() # generator of all links in the form `http://www.domain.location`\n    $ words = page.words() # a generator of words between <p> tags\n\nThe following instance creation options are available\n\n1. `url` : Default to `url=\"http://python.org\"`\n1. `parser` : Default to `parser=\"html.parser\"`. To see a complete list of parsers, user `object_instance.parsers`\n1. `refresh`: Default to `refresh=False`. The first time `Ripper` hits a page, it saves the scrapped content in a text file from\n which consequent calling of the class reads. But if set to `True`, `Ripper` will hit the site to get its data\nconstruct its object each time its called.\n1. `save_path` : Default to `save_path=None`. In this case, `Ripper` creates a folder on your `USER DESKTOP`. This folder name\n is in the format `domainName_extension`. Every page scrapped from that site is saved inside this foler. Its also possible to\nset `save_path=/some/other/path`. The save file name is of the format `page_url.txt`\n1. `split_string` : Defaults to `string.punctuation.extend([\"n\", \" \", \"://\",])`. You can supply a list to add to this set.\n1. `stop_words` : Defaults to `['', '#', '\\n', 'the', 'to', \"but\", \"and\"]`. These are words that should not be included when\n`object_instance.words()` is called. You can supply a list to add to this set.\n\n### LoremPysum - Generate random texts\n\n    $ from pywebber import LoremPysum\n\nCreate a single LoremPysum instance with default Lorem Ipsum text\n\n    $ p = LoremPysum(*args, domains=None, lorem=True)\n\nYou can also decide to include your words with the standard lorem ipsum text. But if you want your words only simply pass `lorem=False` like this ::\n\n    $ p = LoremPysum(*args, domains=None, lorem=False)\n\n`*args` is an optional list of files from which to get the words to be used. Just pass any number of text files as shown below\n\n    $ p = LoremPysum(\"file1_path.txt1\", \"file2_path.txt\", domains=None, lorem=True)\n\nThe following methods are defined\n\n    $ p.email() # return a single email address. You could pass in a file for list of domains. Defaults are `[\".com\", \".info\", \".net\", \".org\"]`\n    $ p.name() # return a name in the form \"firstname I. lastname\".\n    $ p.sentence() # generate a single sentence.\n    $ p.paragraphs() # return a single paragraph of standard Lorem Ipsum text.\n    $ p.paragraphs(count=3) # return 3 paragraphs where the first paragraph is the standard text.\n    $ p.paragraphs(common=False) # return a single paragraph where the first paragraph is random.\n    $ p.title() # generate a string (title case) with 2 to n words. Defaults is 5. Good for article titles.\n\nIn case you want to look into the words used, the following instance attributes are defined. ::\n\n    $ p.common # A list of the first few words in the lorem ipsum text\n    $ p.words # A list of all the words in the lorem ipsum text.\n    $ p.standard # Standard lorem ipsum text. Usually the first 1/3rd portion of a sample file.\n    $ p.domains # list of domain name endings\n\n## Code\n\n## Credits\n\n1. [Luca De Vitis](http://loremipsum.readthedocs.io/en/latest/) for the inspiration and starter code for `LoremPysum`\n\n\n",
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        "home_page": "https://github.com/immensity/pywebber",
        "keywords": "web crawler,lorem ipsum text generator,page indexer",
        "license": "MIT",
        "maintainer": "",
        "maintainer_email": "",
        "name": "pywebber",
        "package_url": "https://pypi.org/project/pywebber/",
        "platform": "",
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            "Homepage": "https://github.com/immensity/pywebber"
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        "summary": "Common tools employed in web development",
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