Metadata-Version: 2.1
Name: twitter-stream.py
Version: 0.7.2
Summary: Python Client For Twitter Streaming API v2
Home-page: https://github.com/twitivity/twitter-stream.py
Author: Saadman Rafat
Author-email: saadmanhere@gmail.com
License: MIT
Description: 
        <p align="center"><a href="https://github.com/twitivity/twitter-stream.py"><img src="https://avatars1.githubusercontent.com/u/74627580?s=400&u=2a5502073d9f5d79b08aeac58df8171b262cb010&v=4" height="120"/></a></p>
        
        <h1 align="center">twitter-stream.py</h1>
        <p align="center">:snake: Python Client For Twitter API v2</p>
        
        <p align="center">
        	<a href="https://github.com/twitivity/twitter-stream.py"><img src="https://img.shields.io/pypi/pyversions/twitter-stream.py" height="20"/></a>
            <a href="https://github.com/twitivity/twitter-stream.py"><img src="https://img.shields.io/endpoint?url=https%3A%2F%2Ftwbadges.glitch.me%2Fbadges%2Fv2" alt="Twitter APi V2" height="20"/></a>
                <a href="https://github.com/twitivity/twitter-stream.py"><img src="https://img.shields.io/pypi/l/twitter-stream.py" alt="Twitter APi V2" height="20"/></a>
        </p><br/><br/>
        
        # :rocket: Why Twitter Stream ?
        [Twitter-Stream.py](https://github.com/twitivity/twitter-stream.py) a python API client for Twitter API v2 now supports 
        `FilteredStream`, `SampledStream`, `RecentSearch`, `TweetLookUp`, and  `UserLookUp`. It makes it easier to get started with Twitter's New API. Let's see an example of how `twitter-stream.py` handles `SampledStream`. Sampled Stream delivers about 1% of Twitter's publicly available tweets in real-time and paints a picture of general sentiments, recent trends, and global events.
        
        ```python
        # sampled_stream.py
        
        import json
        from twitter_stream import SampledStream
        
        class Stream(SampledStream):
            user_fields = ['name', 'location', 'public_metrics']
            expansions = ['author_id']
            tweet_fields = ['created_at']
        
        stream = Stream()
        for tweet in stream.connect():
            print(json.dumps(tweet, indent=4))
        ```
        
        Is this all you have to do to start streaming? Yes. Are these all the data points available to you? No. Let's discuss `line number 5-7`. [Twitter's Official Documentation](https://developer.twitter.com/en/docs/twitter-api/tweets/sampled-stream/api-reference/get-tweets-sample-stream) lists an elaborate set of query parameters. You can use these queries to get the data you need. We are subclassing `SampledStream` and carefully constructing clear and eloquent queries in `line 5-7`. And you can do this for all the query parameters listed in the `SampledStream` [API Reference](https://developer.twitter.com/en/docs/twitter-api/tweets/sampled-stream/api-reference/get-tweets-sample-stream).
        
        To get more insights into other API endpoints. Visit the [examples](https://github.com/twitivity/twitter-stream.py/tree/master/examples) folder and our documentations [twitivity.dev](http://twitivity.dev/docs/).
        
        # Installation and Setup
        ```
        ~$ pip3 install twitter-stream.py
        ~$ export BEARER_TOKEN=BEARER TOKEN
        ```
        <hr>
        
        
        
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Requires-Python: >=3.6.0
Description-Content-Type: text/markdown
