{
    "info": {
        "author": "Nguyen Cao",
        "author_email": "ducnguyen@usedata.vn",
        "bugtrack_url": null,
        "classifiers": [
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6"
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        "description": "\n# TWINT - Twitter Intelligence Tool\n[![PyPI](https://img.shields.io/pypi/v/twint.svg)](https://pypi.org/project/twint/) [![Build Status](https://travis-ci.org/haccer/twint.svg?branch=master)](https://travis-ci.org/haccer/twint/) [![Python 3.5|3.6](https://img.shields.io/badge/Python-3.5%2F3.6-blue.svg)](https://www.python.org/download/releases/3.0/) [![GitHub license](https://img.shields.io/github/license/haccer/tweep.svg)](https://github.com/haccer/tweep/blob/master/LICENSE)\n\n>No authentication. No API. No limits.\n\nFormerly known as Tweep, Twint is an advanced Twitter scraping tool written in Python that allows for scraping Tweets from Twitter profiles **without** using Twitter's API.\n\nTwint utilizes Twitter's search operators to let you scrape Tweets from specific users, scrape Tweets relating to certain topics, hashtags & trends, or sort out *sensitive* information from Tweets like e-mail and phone numbers. I find this very useful, and you can get really creative with it too.\n\nTwint also makes special queries to Twitter allowing you to also scrape a Twitter user's followers, Tweets a user has liked, and who they follow **without** any authentication, API, Selenium, or browser emulation. \n\n## tl;dr Benefits\nSome of the benefits of using Twint vs Twitter API:\n- Can fetch almost __all__ Tweets (Twitter API limits to last 3200 Tweets only)\n- Fast initial setup\n- Can be used anonymously and without Twitter sign up\n- **No rate limitations**\n\n## Requirements\n- Python 3.5/3.6\n- `pip3 install -r requirements.txt`\n\n## Basic Examples and Combos.\nA few simple examples to help you understand the basics:\n\n- `python3 twint.py -u username` - Scrape all the Tweets from *user*'s timeline.\n- `python3 twint.py -u username -s pineapple` - Scrape all Tweets from the *user*'s timeline containing _pineapple_.\n- `python3 twint.py -s pineapple` - Collect every Tweet containing *pineapple* from everyone's Tweets.\n- `python3 twint.py -u username --year 2014` - Collect Tweets that were tweeted **before** 2014.\n- `python3 twint.py -u username --since 2015-12-20` - Collect Tweets that were tweeted since 2015-12-20.\n- `python3 twint.py -u username -o file.txt` - Scrape Tweets and save to file.txt.\n- `python3 twint.py -u username -o file.csv --csv` - Scrape Tweets and save as a csv file.\n- `python3 twint.py -u username --fruit` - Show Tweets with low-hanging fruit.\n- `python3 twint.py -s \"Donald Trump\" --verified --users` - List verified users that Tweet about Donald Trump.\n- `python3 twint.py -g=\"48.880048,2.385939,1km\" -o file.csv --csv` - Scrape Tweets from a radius of 1km around a place in Paris and export them to a csv file.\n- `python3 twint.py -u username -es localhost:9200` - Output Tweets to Elasticsearch\n- `python3 twint.py -u username -o file.json --json` - Scrape Tweets and save as a json file.\n- `python3 twint.py -u username --database tweets.db` - Save Tweets to a SQLite database.\n- `python3 twint.py -u username --followers` - Scrape a Twitter user's followers.\n- `python3 twint.py -u username --following` - Scrape who a Twitter user follows.\n- `python3 twint.py -u username --favorites` - Collect all the Tweets a user has favorited.\n\nMore detail about the commands and options are located in the [wiki](https://github.com/haccer/twint/wiki/Commands)\n\n## Using Twint as a Module\nTwint can now be used as a module and supports custom formatting. More details are located in the [wiki](https://github.com/haccer/twint/wiki/Module)\n\n#### Install\n- `sudo pip3 install twint`\n\n#### Example\n```python\nimport twint\n\n# Configure\nc = twint.Config()\nc.Username = \"now\"\nc.Search = \"pineapple\"\nc.Format = \"Tweet id: {id} | Tweet: {tweet}\"\n\n# Run\ntwint.Search(c)\n```\n## Example String\n`955511208597184512 2018-01-22 18:43:19 GMT <now> pineapples are the best fruit`\n\n## Storing Options\n- Write to file.\n- CSV\n- JSON\n- SQLite\n- Elasticsearch\n\n### Elasticsearch Setup\n\nDetails on setting up Elasticsearch with Twint is located in the [wiki](https://github.com/haccer/twint/wiki/Elasticsearch). \n\n### Graph Visualization\n![graph](https://i.imgur.com/EEJqB8n.png)\n\n[Graph](https://github.com/haccer/twint/tree/master/graph) details are also located in the [wiki](https://github.com/haccer/twint/wiki/Graph).\n\n## Thanks\nThanks to [@hpiedcoq](https://github.com/hpiedcoq) & [@pielco11](https://github.com/pielco11) for contributing several features!\n\n## Contact\nShout me out on Twitter: [@now](https://twitter.com/now)\n\nIf you have problems or have suggestions don't hesitate to open an issue or ask about it directly. \n\n\n",
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        "name": "twinter",
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        "summary": "An advanced Twitter scraping & OSINT tool.",
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