Twitter-Stream.py a python API client for Twitter API v2 now supports
UserLookUp. It makes it easier to get started with Twitter's New API.
If you are following
twitter-stream.py makes streaming a lot more seamless.
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. So let's see an example of how
~$ mkdir twitterStream && cd twitterStream ~$ pipenv install twitter-stream.py # or use pip3 ~$ pipenv shell (twitter-stream) ~$ export $BEARER_TOKEN=BEARER TOKEN (twitter-stream) ~$ touch stream.py (twitter-stream) ~$ tree ├── Pipfile └── Pipfile.lock └── stream.py 0 directories, 3 files
1. import json 2. from twitter_stream import SampledStream 3. 4. class Stream(SampledStream): 5. user_fields = ['name', 'location', 'public_metrics'] 6. expansions = ['author_id'] 7. tweet_fields = ['created_at'] 8. 9. stream = Stream() 10. 11.for tweet in stream.connect(): 12. print(json.dumps(tweet, indent=4, sort_keys=True)) 13.
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 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.
To get more insights into other API endpoints. Please Visit our README.md page and our documentations twitivity.dev. We will continue to maintain the
v1.1 Accounts Activity API Client while keep supporting and releasing new tools that help the community.
docs : twitivity.dev/docs
github : https://github.com/twitivity/twitter-stream.py
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Top comments (2)
This is so cool!