tweepy

Please forgive me if this is a gross repeat of a question previously answered elsewhere, but I am lost on how to use the tweepy API search function. Is there any documentation available on how to search for tweets using the api.search() function? Is there any way I can control features such as number of tweets returned, results type etc.? The results seem to max out at 100 for some reason. the code snippet I use is as follows searched_tweets = self.api.search(q=query,rpp=100,count=1000) gumption I originally worked out a solution based on Yuva Raj 's suggestion to use additional parameters in

Is it possible to get the full follower list of an account who has more than one million followers, like McDonald's? I use Tweepy and follow the code: c = tweepy.Cursor(api.followers_ids, id = 'McDonalds') ids = [] for page in c.pages(): ids.append(page) I also try this: for id in c.items(): ids.append(id) But I always got the 'Rate limit exceeded' error and there were only 5000 follower ids. In order to avoid rate limit, you can/should wait before the next follower page request. Looks hacky, but works: import time import tweepy auth = tweepy.OAuthHandler(..., ...) auth.set_access_token(..., .

I'm using Tweepy to download tweets. I have a program that then writes the actual Status object to a file in text form. How do I translate this into JSON, or import this object back into Python? I've tried using the JSON library to encode, but Status is not JSON serializable. The Status object of tweepy itself is not JSON serializable, but it has a _json property which contains JSON serializable response data. For example: >>> status_list = api.user_timeline(user_handler) >>> status = status_list[0] >>> json_str = json.dumps(status._json) A better way to do this is to use a tweepy parser. It's

I saw in some question on Stack Exchange that the limitation can be a function of the number of requests per 15 minutes and depends also on the complexity of the algorithm, except that this is not a complex one. So I use this code: import tweepy import sqlite3 import time db = sqlite3.connect('data/MyDB.db') # Get a cursor object cursor = db.cursor() cursor.execute('''CREATE TABLE IF NOT EXISTS MyTable(id INTEGER PRIMARY KEY, name TEXT, geo TEXT, image TEXT, source TEXT, timestamp TEXT, text TEXT, rt INTEGER)''') db.commit() consumer_key = "" consumer_secret = "" key = "" secret = "" auth =