Reputation: 13
I have a list of over 9000 user IDs and I have to collect at most 500 tweets from each of the users. My code ran for about 5 days and only collected tweets from 541 user IDs. How could I get tweets from all the accounts? What am I doing wrong with my code?
auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
auth.set_access_token(access_token, access_token_secret)
ids = df_all["id_str"].tolist()
api = tweepy.API(auth, wait_on_rate_limit=True)
for id_ in ids:
df = pd.DataFrame()
outtweets = []
try:
for tweet in tweepy.Cursor(api.user_timeline,id=id_).items(500):
outtweets.append({'id':id_,
'tw_id_str': tweet.id_str,
'tw_created_at':tweet.created_at,
'tw_favorite_count':tweet.favorite_count,
'tw_retweet_count':tweet.retweet_count,
'tw_text':tweet.text.encode("utf-8").decode("utf-8")})
df = pd.DataFrame(outtweets)
df.to_csv("tweets_of_ids.csv", mode='a')
except tweepy.TweepError as e:
continue
Thanks a lot for the help!
Upvotes: 0
Views: 542
Reputation: 13
I have actually found and adapted some lines of code that work much faster than the one above:
auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
auth.set_access_token(access_token, access_token_secret)
api = tweepy.API(auth, wait_on_rate_limit=True)
outtweets=[]
for id_ in ids:
c = 0
try:
alltweets = []
new_tweets = api.user_timeline(user_id = str(id_),count=200)
#save most recent tweets
alltweets.extend(new_tweets)
#save the id of the oldest tweet less one
oldest = alltweets[-1].id - 1
while len(new_tweets) > 0 and len(alltweets) <= 500:
print(f"getting tweets before {oldest}")
c = 500 - len(alltweets)
if c == 0:
break
else:
new_tweets = api.user_timeline(user_id = str(id_),count=c,max_id=oldest)
alltweets.extend(new_tweets)
oldest = alltweets[-1].id - 1
print(f"...{len(alltweets)} tweets downloaded so far")
for tweet in alltweets:
outtweets.append({'id':id_, 'id_str':tweet.id_str, 'tw_created_at':tweet.created_at, 'tw_text':tweet.text})
except tweepy.TweepError:
print(id_)
pass
Upvotes: 1
Reputation: 13883
The code is fine but Tweepy is throttling the requests to avoid going over the rate limit (using wait_on_rate_limit
).
api = tweepy.API(auth, wait_on_rate_limit=True)
This approach prevents the application to throw an error when the limit exceeds.
There are Premium APIs which offer higher rates.
Upvotes: 0