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    "info": {
        "author": "Shirish Kadam",
        "author_email": "shirishkadam35@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Intended Audience :: Developers",
            "Intended Audience :: Education",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Topic :: Scientific/Engineering",
            "Topic :: Scientific/Engineering :: Information Analysis",
            "Topic :: Software Development :: Libraries :: Python Modules"
        ],
        "description": "\n# Tweet Scrapper\n\n[![License: GPL v3](https://img.shields.io/badge/License-GPL%20v3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0)\n[![Codacy Badge](https://api.codacy.com/project/badge/Grade/5924d3402a2c43d0bf7affa6863872f6)](https://www.codacy.com/app/5hirish/tweet_scrapper?utm_source=github.com&utm_medium=referral&utm_content=5hirish/tweet_scrapper&utm_campaign=Badge_Grade)\n[![codecov](https://codecov.io/gh/5hirish/tweet_scrapper/branch/master/graph/badge.svg)](https://codecov.io/gh/5hirish/tweet_scrapper)\n[![Build Status](https://travis-ci.org/5hirish/tweet_scrapper.svg?branch=master)](https://travis-ci.org/5hirish/tweet_scrapper)\n[![Current Release Version](https://img.shields.io/github/release/5hirish/tweet_scrapper.svg)](https://github.com/5hirish/tweet_scrapper/releases)\n[![pypi Version](https://img.shields.io/pypi/v/tweetscrape.svg)](https://pypi.python.org/pypi/tweetscrape)\n[![Twitter](https://img.shields.io/twitter/follow/openebs.svg?style=social&label=Follow)](https://twitter.com/intent/follow?screen_name=5hirish)\n\n\nTwitter's API is annoying to work with, and has lots of limitations \u2014 luckily their frontend (JavaScript) has it's own API, which I reverse\u2013engineered. No API rate limits. No restrictions. Extremely fast.\n\nYou can use this library to get the text of any user's Tweets trivially. Follow the creator's blog at [shirishkadam.com](https://shirishkadam.com) for updates on progress.\n\n## Installation\nBuilt for Python 3.5.x, 3.6.x\n\n```bash\n$ pip install tweetscrape\n$ python -m tweetscrape.twitter_scrape --help\n```\n\n## Getting Started\n```bash\n$ python -m tweetscrape.twitter_scrape -u \"5hirish\"  -n 60 -d \"twitter.csv\" -f \"csv\"\n$ python -m tweetscrape.twitter_scrape --hashtag \"#Python\" -n 60 -d \"twitter.csv\" -f \"csv\"\n$ python -m tweetscrape.twitter_scrape --all \"Avengers\" --mention \"@Marvel\" -n 20 -d \"twitter.csv\" -f \"csv\"\n$ python -m tweetscrape.twitter_scrape --near \"Brooklyn\" -n 20 -d \"twitter.csv\" -f \"csv\"\n$ python -m tweetscrape.twitter_scrape --from \"@CNN\" --since \"2019-06-20\" --until \"2019-06-23\" -n 20 -d \"twitter.csv\" -f \"csv\"\n```\n\n## Usage\n\n```python\nfrom tweetscrape.profile_tweets import TweetScrapperProfile \n\ntweet_scrapper = TweetScrapperProfile(\"5hirish\", 40, 'twitter.csv', 'csv')\ntweet_count, tweet_id, tweet_time, dump_path = tweet_scrapper.get_profile_tweets()\nprint(\"Extracted {0} tweets till {1} at {2}\".format(tweet_count, tweet_time, dump_path))\n```\n#### Read more on `tweetscrape` usage here: [USAGE.md](USAGE.md)\n```csv\nid,type,time,author,author_id,re_tweeter,associated_tweet,text,links,hashtags,mentions,reply_count,favorite_count,retweet_count\n993872079274508289,tweet,1525792543000,5hirish,428808036,,993872079274508289,\"Built @twitter #scrapper inspired by @kennethreitz similar project. Does a bunch of other cool stuff like extracting user tweets with all meta-data, hastags, images, likes, etc. extracting tweets based on keyword or hastag search #python @Github https://github.com/5hirish/tweet_scrapper\u00a0\u2026pic.twitter.com/bXdnrWXNwr\",\"['https://t.co/ID5hJ6InIu', 'https://t.co/bXdnrWXNwr']\",\"['#scrapper', '#python']\",\"['@Twitter', '@kennethreitz', '@github']\",1,14,7\n1141791578970894338,tweet,1561059300000,gracecondition,127701253,5hirish,1141791578970894338,everyone else using word2vec:king \u2013 man + woman = queenme using word2vec:fish + music = bassfish + friend = chumfish + hair = mulletfish + struggle = flounderoink - pig + bro = wassupyeti \u2013 snow + economics = homo economicushttps://graceavery.com/word2vec-fish-music-bass/\u00a0\u2026,['https://t.co/UAiViuEnM2'],[],[],17,939,227\n1141849459342610437,tweet,1561073100000,Reuters,1652541,5hirish,1141849459342610437,WATCH: Elon Musk gives #E3 audience a preview of gaming in Tesla carspic.twitter.com/u7rVedhDyW,['https://t.co/u7rVedhDyW'],\"['#E3', '#E3']\",[],3,49,18\n1141812196453699584,tweet,1561064216000,xamat,9316452,5hirish,1141812196453699584,\"The annoying pop-up about cookies on websites is basically teaching me to click \"\"ok\"\" on anything that gets in my way asap, which seems very dangerous and exactly the opposite of what is intended.\",[],[],[],1,23,3\n1141897990627446784,tweet,1561084671000,data_mike_j,1053368990695706624,5hirish,1141897990627446784,Check out my newest blog post where I build a graph visualization of the #MuellerReport using @spacy_io and #Python including paragraph recommendation engine.https://minimizeuncertainty.com/post/graph-visualization-of-the-mueller-report-with-spacy-and-pyvis/\u00a0\u2026,['https://t.co/Q5GGKqmbYv'],\"['#MuellerReport', '#Python']\",['@spacy_io'],0,31,13\n1142137189775507456,tweet,1561141700000,5hirish,428808036,,1142137187783213056,\"Share your weekend goals here, could be anything, like reading a book, writing a blog post, preparing your favorite dessert or anything that will give you a positive feeling of #accomplishment for the coming week. Let's check back on Monday.\",[],['#accomplishment'],[],1,0,0\n1142137187783213056,tweet,1561141700000,5hirish,428808036,,1142137187783213056,\"Weekend Goal: Convert my Flask app into a RESTful Flask API app template with Unit tests, Travis CI and Swagger docs. #python Repo: https://github.com/5hirish/flask-restful-template\u00a0\u2026 (Contributors Welcome!)#weekendgoal #accountability\",['https://t.co/m7isdCd6cc'],\"['#python', '#weekendgoal', '#accountability']\",[],1,3,1\n1141840676394434560,tweet,1561071006000,naval,745273,5hirish,1141840676394434560,\"Lasting novels don\u2019t come from literature departments. Successful businesses don\u2019t come from business schools. Scientific revolutions don\u2019t come from research universities.Get your education, then get moving. Find the loners tinkering at the edge.\",[],[],[],149,10188,2562\n1141740790542213121,tweet,1561047191000,WSJ,3108351,5hirish,1141740790542213121,\"Slack shares open at $38.50 in their trading debut, above $26 reference price and giving the company a valuation of about $23.2 billionhttps://on.wsj.com/2Xmkitn\",['https://t.co/uo7yCGqSmC'],[],[],3,76,48\n1141511813709717504,tweet,1560992599000,quocleix,989251872107085824,5hirish,1141511813709717504,\"XLNet: a new pretraining method for NLP that significantly improves upon BERT on 20 tasks (e.g., SQuAD, GLUE, RACE)arxiv: https://arxiv.org/abs/1906.08237\u00a0github (code + pretrained models): https://github.com/zihangdai/xlnet\u00a0with Zhilin Yang, @ZihangDai, Yiming Yang, Jaime Carbonell, @rsalakhupic.twitter.com/JboOekUVPQ\",\"['https://t.co/C1tFMwZvyW', 'https://t.co/kI4jsVzT1u', 'https://t.co/JboOekUVPQ']\",[],\"['@ZihangDai', '@rsalakhu']\",21,1763,715\n1141736965311569920,tweet,1561046279000,justinkan,28917111,5hirish,1141736965311569920,\"One of the most important skills I\u2019ve built is the ability to sit with discomfort. Being able to be uncomfortable (bored, on the receiving end of anger, in pain) and not needing to escape has changed my happiness and my life. It would have seemed impossible to me 12 months ago.\",[],[],[],38,1578,242\n....\n```\n\n## Requirements\n\n* [Python 3.X](https://docs.python.org/3/)\n\nPython Package dependencies listed in [requirements.txt](requirements.txt)\n\n### Features\n\n* Extract user tweets with all meta-data\n* Extracts external links, hashtags and mentions from a tweet\n* Extracts reply, favorite and retweet counts of a tweet\n* Exports data to file in CSV or JSON with UTF-8 encoding\n* Scraps tweets in a recursive and greedy approach\n* Supports Proxy requests, request delays\n* Extracts user information including bio, location and stats\n\n### TODO\n\n- [x] Extract tweets from a twitter user's profile\n- [x] Extract tweets from twitter search with advance filters\n- [x] Exports tweets to files\n- [x] Supports infinite scroll\n- [x] Extract tweets from a twitter thread, given the thread\n- [ ] Extract the quoted tweet along with a tweet\n\n### Contributions\nPlease see the [contributing documentation](docs/CONTRIBUTING.md) for some tips on getting started.\n\n### Maintainers\n* [@5hirish](https://github.com/5hirish) - Shirish Kadam\n\n\n",
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