[PYTHON] Get Tweets with Tweepy


--Getting a specific user's timeline to analyze Twitter in various ways --Acquired items (tweet ID, created_at, tweets, number of Favs, number of RTs) ――It is a humanities brain studying Python. Please note



--Install Tweepy -Register Twitter API


!/usr/bin/env python3
 -*- coding: utf-8 -*-

import tweepy
import csv

consumer_key = ""
consumer_secret = ""
access_key = ""
access_secret = ""

auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
auth.set_access_token(access_key, access_secret)
api = tweepy.API(auth)

# Get Tweets
tweet_data = []

 for tweet in tweepy.Cursor (api.user_timeline, screen_name = "Enter the name you want to get here", exclude_replies = True) .items ():

# csv output
with open('tweets_20170805.csv', 'w',newline='',encoding='utf-8') as f:
    writer = csv.writer(f, lineterminator='\n')


――It was very clean. Long live Tweepy! ――I still don't understand the details. ――I want to do natural language processing using this data.

Reference URL

-How to use Twitter REST API

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