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.
Before you begin, ensure you have met the following requirements:
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
Just import twitter_scraper and call functions!
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.
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 |
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']
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 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"}
To contribute to twitter-scraper, follow these steps:
git checkout -b <branch_name>
.git commit -m '<commit_message>'
git push origin <project_name>/<location>
Alternatively see the GitHub documentation on creating a pull request.
Thanks to the following people who have contributed to this project:
If you want to contact me you can reach me at @bugraisguzar.
This project uses the following license: MIT.