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    "info": {
        "author": "Andrea Lamparelli",
        "author_email": "lampa9559@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Intended Audience :: Developers",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Natural Language :: English",
            "Programming Language :: Python :: 3.7",
            "Topic :: Software Development :: Libraries :: Python Modules"
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        "description": "PTDC: PYTHON TWITTER DATA COLLECTOR\n===================================\n\n[|Author|] |PyPi| [|Python 3.7|] |license|\n\nPython Twitter data collector built on\n`Tweepy <https://github.com/tweepy/tweepy>`__ that allow users to\ndynamically collect accounts and statuses from Twitter during streaming,\nand automatically generate Datasets from collected data that you can as\nCSV.\n\nThis library provides a framework that you can use to build your own\ndata collector, specifying which are your features that have to be\nextracted from Twitter accounts/statuses.\n\nCreating your Twitter dataset: 1. Instantiate an ``AccountCollector``\nand/or ``StatusCollector`` class in according to what you want collect,\naccounts, statuses or both. At this step you can re-defined your own\nfeatures that have to be extracted from twitter data, you have to pass\ndict-like parameters in the following form: <feature_name, function>\nwhere the function has to be applied to the user or status object.\nPlease refer to\n`documentation <https://developer.twitter.com/en/docs/tweets/data-dictionary/overview/user-object.html>`__\nfor more details about Twitter objects 2. Instantiate the\n``OnlineStreamer`` passing the collector as parameter 3. Start streaming\non some topics 4. Save the created dataset at specified location\n\nNB: It is not mandatory to use both collectors and streamer but you can\nalso use Collectors alone, for instance if you already have the users\nand/or statuses to collect and you don\u2019t need to stream anything.\n\n**NEW FEATURES:** \\* *Offline collection by name*, allow user to make a\nquery by name and collect some name-similar users extracting features\ndefined in the collector constructor\n\nINSTALLATION\n------------\n\nThe package is available on PyPi\n`here <https://pypi.org/project/ptdc/>`__\n\n.. code:: bash\n\n   $ pip install ptdc\n\nEXAMPLE USAGE\n-------------\n\nImport modules\n~~~~~~~~~~~~~~\n\n::\n\n   from ptdc import authenticate, AccountCollector, OnlineStreamer, StatusCollector\n\nDefine tokens\n~~~~~~~~~~~~~\n\nReplace the following tokens with yours, see Twitter developers\n`authentication <https://developer.twitter.com/en/docs/basics/authentication/guides/access-tokens.html>`__\nfor more details about how obtain them.\n\n::\n\n   consumer_key = \"xxxxxxxxxxx\"\n   consumer_key_secret = \"xxxxxxxxxxxxx\"\n   access_token = \"xxxxxxxxxxxxxxxxxxxxxx\"\n   access_token_secret = \"xxxxxxxxxxxxxxxxxx\"\n\nCreate the default Tweepy API object of tweepy\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n::\n\n   api = authenticate(consumer_key=consumer_key, consumer_key_secret=consumer_key_secret, access_token=access_token, access_token_secret=access_token_secret)\n\nCreate your own Collectors for collecting data\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nCreate your own StatusCollector object\n\n::\n\n   s_collector = StatusCollector(api=api)\n\nCreate your own AccountCollector object, which will collect also\nstatuses\n\n::\n\n   collector = AccountCollector(api=api, statuses_collector=s_collector)\n\nCreate the Streamer\n~~~~~~~~~~~~~~~~~~~\n\nCreate Online Streamer that will collect data (in this case will collect\nonly 5 accounts)\n\n::\n\n   streamer = OnlineStreamer(api=api, collector=collector, data_limit=5, n_statuses=400)\n\nStart streaming\n~~~~~~~~~~~~~~~\n\nYou can start streaming in all ways defined by Tweepy, see its doc for\nmore details\n\n::\n\n   streamer.stream(track=['famous', 'web', 'vip', 'holiday', 'pic', 'photo'], is_async=False)\n\nSave dataset/s\n~~~~~~~~~~~~~~\n\nAfter streaming ended (in according to your defined limits), save\nDataFrame/s generated into csv file/s. You just need to access the\ncollector object and call the save_dataset method providing the path.\n\n::\n\n   streamer.collector.save_dataset(path=\"../data/accounts.csv\")\n\nQuestions and Contributing\n--------------------------\n\nFeel free to post questions and problems on the issue tracker. Pull\nrequests are welcome!\n\nFeel free to fork and modify or add new features and functionality to\nthe library\n\n.. |Author| image:: http://img.shields.io/badge/author-lampajr-blue.svg?style=flat-square\n.. |PyPi| image:: https://img.shields.io/pypi/v/ptdc.svg?style=flat-square\n   :target: https://pypi.org/project/ptdc/\n.. |Python 3.7| image:: https://img.shields.io/pypi/pyversions/ptdc.svg\n.. |license| image:: https://img.shields.io/github/license/mashape/apistatus.svg?style=flat-square\n   :target: https://github.com/lampajr/PTDC/blob/master/LICENSE\n\n\n",
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        "keywords": "twitter api tweepy collection data streaming",
        "license": "MIT License",
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        "name": "ptdc",
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