Metadata-Version: 1.1
Name: twint
Version: 1.1.2.2
Summary: An advanced Twitter scraping & OSINT tool.
Home-page: https://github.com/haccer/twint
Author: Cody Zacharias
Author-email: codyzacharias@pm.me
License: MIT
Description: 
        # TWINT - Twitter Intelligence Tool
        [![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)
        
        >No authentication. No API. No limits.
        
        Formerly 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.
        
        Twint 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.
        
        Twint 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. 
        
        ## tl;dr Benefits
        Some of the benefits of using Twint vs Twitter API:
        - Can fetch almost __all__ Tweets (Twitter API limits to last 3200 Tweets only)
        - Fast initial setup
        - Can be used anonymously and without Twitter sign up
        - **No rate limitations**
        
        ## Requirements
        - Python 3.5/3.6
        - `pip3 install -r requirements.txt`
        
        ## Basic Examples and Combos.
        A few simple examples to help you understand the basics:
        
        - `python3 twint.py -u username` - Scrape all the Tweets from *user*'s timeline.
        - `python3 twint.py -u username -s pineapple` - Scrape all Tweets from the *user*'s timeline containing _pineapple_.
        - `python3 twint.py -s pineapple` - Collect every Tweet containing *pineapple* from everyone's Tweets.
        - `python3 twint.py -u username --year 2014` - Collect Tweets that were tweeted **before** 2014.
        - `python3 twint.py -u username --since 2015-12-20` - Collect Tweets that were tweeted since 2015-12-20.
        - `python3 twint.py -u username -o file.txt` - Scrape Tweets and save to file.txt.
        - `python3 twint.py -u username -o file.csv --csv` - Scrape Tweets and save as a csv file.
        - `python3 twint.py -u username --fruit` - Show Tweets with low-hanging fruit.
        - `python3 twint.py -s "Donald Trump" --verified --users` - List verified users that Tweet about Donald Trump.
        - `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.
        - `python3 twint.py -u username -es localhost:9200` - Output Tweets to Elasticsearch
        - `python3 twint.py -u username -o file.json --json` - Scrape Tweets and save as a json file.
        - `python3 twint.py -u username --database tweets.db` - Save Tweets to a SQLite database.
        - `python3 twint.py -u username --followers` - Scrape a Twitter user's followers.
        - `python3 twint.py -u username --following` - Scrape who a Twitter user follows.
        - `python3 twint.py -u username --favorites` - Collect all the Tweets a user has favorited.
        
        More detail about the commands and options are located in the [wiki](https://github.com/haccer/twint/wiki/Commands)
        
        ## Using Twint as a Module
        Twint 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)
        
        #### Install
        - `sudo pip3 install twint`
        
        #### Example
        ```python
        import twint
        
        # Configure
        c = twint.Config()
        c.Username = "now"
        c.Search = "pineapple"
        c.Format = "Tweet id: {id} | Tweet: {tweet}"
        
        # Run
        twint.Search(c)
        ```
        ## Example String
        `955511208597184512 2018-01-22 18:43:19 GMT <now> pineapples are the best fruit`
        
        ## Storing Options
        - Write to file.
        - CSV
        - JSON
        - SQLite
        - Elasticsearch
        
        ### Elasticsearch Setup
        
        Details on setting up Elasticsearch with Twint is located in the [wiki](https://github.com/haccer/twint/wiki/Elasticsearch). 
        
        ### Graph Visualization
        ![graph](https://i.imgur.com/EEJqB8n.png)
        
        [Graph](https://github.com/haccer/twint/tree/master/graph) details are also located in the [wiki](https://github.com/haccer/twint/wiki/Graph).
        
        ## Thanks
        Thanks to [@hpiedcoq](https://github.com/hpiedcoq) & [@pielco11](https://github.com/pielco11) for contributing several features!
        
        ## Contact
        Shout me out on Twitter: [@now](https://twitter.com/now)
        
        If you have problems or have suggestions don't hesitate to open an issue or ask about it directly. 
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
