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https://github.com/twitivity/twitter-stream.py

Python API Client for Twitter API v2
https://github.com/twitivity/twitter-stream.py

api-client python python3 twitter-api twitter-api-v2 twitter-stream

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Python API Client for Twitter API v2

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:snake: Python Client For Twitter API v2



Twitter APi V2
Twitter APi V2



# :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
```
~$ pip3 install twitter-stream.py
```
## Credentials

Store Twitter credentials at `~/.twitter-keys.yaml`.

```shell
~$ vim ~/.twitter-keys.yaml
```

```yaml
keys:
consumer_key: CONSUMER_KEY
consumer_secret: CONSUMER_SECRET
access_token: ACCESS_TOKEN
access_token_secret: ACCESS_TOKEN_SECRET
bearer_token: BEARER_TOKEN

```