Twpy
Twitter High level scraper for humans.
Features
- NO LIMIT, NO API required
- Fast and easy to use
- Working with python 3.5+
- Integrated with pandas for data science research
Installation
Manual install via git :
$ git clone https://github.com/0x0ptim0us/twpy.git
$ cd twpy
$ python setup.py installInstall using pip:
$ pip install twpy
# or
$ python -m pip install twpyUsage
Create Twpy object :
from twpy import TwpyClient
# create twpy client object
tc = TwpyClient()with proxy :
# or you can pass proxy
tc = TwpyClient(proxy="127.0.0.1:8080")Get twpy current version :
tc.__version__
# '1.2.3'Get user followers:
# get user followers, limited up to 50
# interval : delay between each request, default is 0 for no delay
# proxy : send traffic through proxy, default is none
followers_data = tc.get_followers(username="elonmusk", limit=50, interval=1)Get user timeline:
tweets = tc.get_timeline(username="elonmusk", limit=50)Get user profile:
user_info = tc.get_user(username="elonmusk")Convert result object to other data structures :
from twpy.serializers import to_pandas, to_json, to_list
# convert result to pandas data frame, json and list
# pandas
pandas_sample = to_pandas(followers_data)
# json
json_sample = to_json(followers_data)
# list
list_sample = to_list(followers_data)Search example:
# search user tweets until 2015
tweets = tc.search(username="elonmusk", until="2015")
# add limit and interval
tweets = tc.search(username="elonmusk", until="2015", limit=100, interval=1)
# search tweets contains `love` word
tweets = tc.search(query="love", limit=100, interval=1)
# search tweets which contains `love` word and were tweeted since 2015-01-01
tweets = tc.search(query="love", since="2015-01-01", limit=10)Supported methods
| method | description |
|---|---|
| get_friends() | get user followings/friends |
| get_timeline() | get user timeline/tweets |
| get_user() | get user profile info |
| search() | search tweets with query and username |
Meta
Fardin Allahverdinazhand - @0x0ptim0us - 0x0ptim0us@gmail.com Distributed under the MIT license. see LICENSE.txt for more information.
