taspinar / twitterscraper

Scrape Twitter for Tweets
MIT License
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Scrapping using a limit #356

Closed Dragonriser closed 3 years ago

Dragonriser commented 3 years ago

Hi, I tried implementing it. I wanted to get 1000 tweets however, the best I am able to extract ( even including retweets) is 339. Is there a way around. The code is below:

`query = '@snapdeal' searched_tweets_snapdeal = [status for status in tweepy.Cursor(api.search, lang = 'en', q=query).items(1000)] tweet_id = [] text = [] user = [] created = [] user_verified = []

for i in range(len(searched_tweets_snapdeal)): json_str = json.dumps(searched_tweets_snapdeal[i]._json) tweet_id.append(str(json.loads(json_str)['id'])) text.append(json.loads(json_str)['text']) user.append(json.loads(json_str)['user']['screen_name']) created.append(json.loads(json_str)['created_at']) user_verified.append(json.loads(json_str)['user']['verified'])`