Awesome
Twitter Scraper
Twitter's API is annoying to work with, and has lots of limitations — luckily their frontend (JavaScript) has it's own API, which I reverse–engineered. No API rate limits. No restrictions. Extremely fast.
You can use this library to get the text of any user's Tweets trivially.
Prerequisites
Before you begin, ensure you have met the following requirements:
- Internet Connection
- Python 3.6+
Installing twitter-scraper
If you want to use latest version, install from source. To install twitter-scraper from source, follow these steps:
Linux and macOS:
git clone https://github.com/bisguzar/twitter-scraper.git
cd twitter-scraper
sudo python3 setup.py install
Also, you can install with PyPI.
pip3 install twitter_scraper
Using twitter_scraper
Just import twitter_scraper and call functions!
→ function get_tweets(query: str [, pages: int]) -> dictionary
You can get tweets of profile or parse tweets from hashtag, get_tweets takes username or hashtag on first parameter as string and how much pages you want to scan on second parameter as integer.
Keep in mind:
- First parameter need to start with #, number sign, if you want to get tweets from hashtag.
- pages parameter is optional.
Python 3.7.3 (default, Mar 26 2019, 21:43:19)
[GCC 8.2.1 20181127] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> from twitter_scraper import get_tweets
>>>
>>> for tweet in get_tweets('twitter', pages=1):
... print(tweet['text'])
...
spooky vibe check
…
It returns a dictionary for each tweet. Keys of the dictionary;
| Key | Type | Description |
|---|---|---|
| tweetId | string | Tweet's identifier, visit twitter.com/USERNAME/ID to view tweet. |
| userId | string | Tweet's userId |
| username | string | Tweet's username |
| tweetUrl | string | Tweet's URL |
| isRetweet | boolean | True if it is a retweet, False otherwise |
| isPinned | boolean | True if it is a pinned tweet, False otherwise |
| time | datetime | Published date of tweet |
| text | string | Content of tweet |
| replies | integer | Replies count of tweet |
| retweets | integer | Retweet count of tweet |
| likes | integer | Like count of tweet |
| entries | dictionary | Has hashtags, videos, photos, urls keys. Each one's value is list |
→ function get_trends() -> list
You can get the Trends of your area simply by calling get_trends(). It will return a list of strings.
Python 3.7.3 (default, Mar 26 2019, 21:43:19)
[GCC 8.2.1 20181127] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> from twitter_scraper import get_trends
>>> get_trends()
['#WHUTOT', '#ARSSOU', 'West Ham', '#AtalantaJuve', '#バビロニア', '#おっさんずラブinthasky', 'Southampton', 'Valverde', '#MMKGabAndMax', '#23NParoNacional']
→ class Profile(username: str) -> class instance
You can get personal information of a profile, like birthday and biography if exists and public. This class takes username parameter. And returns itself. Access informations with class variables.
Python 3.7.3 (default, Mar 26 2019, 21:43:19)
[GCC 8.2.1 20181127] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> from twitter_scraper import Profile
>>> profile = Profile('bugraisguzar')
>>> profile.location
'Istanbul'
>>> profile.name
'Buğra İşgüzar'
>>> profile.username
'bugraisguzar'
→ .to_dict() -> dict
to_dict is a method of Profile class. Returns profile datas as Python dictionary.
Python 3.7.3 (default, Mar 26 2019, 21:43:19)
[GCC 8.2.1 20181127] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> from twitter_scraper import Profile
>>> profile = Profile("bugraisguzar")
>>> profile.to_dict()
{'name': 'Buğra İşgüzar', 'username': 'bugraisguzar', 'birthday': None, 'biography': 'geliştirici@peptr', 'website': 'bisguzar.com', 'profile_photo': 'https://pbs.twimg.com/profile_images/1199305322474745861/nByxOcDZ_400x400.jpg', 'banner_photo': 'https://pbs.twimg.com/profile_banners/1019138658/1555346657/1500x500', 'likes_count': 2512, 'tweets_count': 756, 'followers_count': 483, 'following_count': 255, 'is_verified': False, 'is_private': False, user_id: "1019138658"}
Contributing to twitter-scraper
To contribute to twitter-scraper, follow these steps:
- Fork this repository.
- Create a branch with clear name:
git checkout -b <branch_name>. - Make your changes and commit them:
git commit -m '<commit_message>' - Push to the original branch:
git push origin <project_name>/<location> - Create the pull request.
Alternatively see the GitHub documentation on creating a pull request.
Contributors
Thanks to the following people who have contributed to this project:
- @kennethreitz (author)
- @bisguzar (maintainer)
- @lionking6792
- @ozanbayram
- @xeliot
Contact
If you want to contact me you can reach me at @bugraisguzar.
License
This project uses the following license: MIT.