This code scrapes Tweets by Twitter Search API, and can collect tweets up to 10 days back in time. (Tweepy needs to be installed Mac.). Code modified from Bhaskar V. Karambelkar (https://www.karambelkar.info/2015/01/how-to-use-twitters-search-rest-api-most-effectively./)

twittersearchscrape.py

#This code searches for tweets with a particuar keyword and writes certain fields into a CSV file

import sys, csv
import twitter
import os
import tweepy

# Replace the API_KEY and API_SECRET with your application's key and secret.
#This code is using AppAuthHandler, not OAuthHandler to get higher limits, 2.5 times.
auth = tweepy.AppAuthHandler('YOUR_API_KEY', 'YOUR_SECRET_API_KEY')
api = tweepy.API(auth, wait_on_rate_limit=True,
				   wait_on_rate_limit_notify=True)


if (not api):
    print ("Can't Authenticate")
    sys.exit(-1)
def clean(val):
	clean = ""
	if val:
		clean = val.encode('utf-8')
	return clean

searchQuery = ''  #This is for your hasthag(s), separate by comma
maxTweets = 80000 # Large max nr
tweetsPerQry = 100  # the max the API permits
fName = 'myfile.csv' #The CSV file where your tweets will be stored
csvfile = open(fName, 'w');
csvwriter = csv.writer(csvfile)

count=0

# If results from a specific ID onwards are reqd, set since_id to that ID.
# else default to no lower limit, go as far back as API allows
sinceId = None

# If results only below a specific ID are, set max_id to that ID.
# else default to no upper limit, start from the most recent tweet matching the search query.
max_id = -1L
tweetCount = 0

#print("Downloading max {0} tweets".format(maxTweets))
with open(fName, 'w') as csvfile:
    while tweetCount < maxTweets:
        try:
            if (max_id <= 0):
                if (not sinceId):
                    new_tweets = api.search(q=searchQuery, count=tweetsPerQry)
                else:
                    new_tweets = api.search(q=searchQuery, count=tweetsPerQry,
                                            since_id=sinceId)
            else:
                if (not sinceId):
                    new_tweets = api.search(q=searchQuery, count=tweetsPerQry,
                                            max_id=str(max_id - 1))
                else:
                    new_tweets = api.search(q=searchQuery, count=tweetsPerQry,
                                            max_id=str(max_id - 1),
                                            since_id=sinceId)

            if not new_tweets:
                print("No more tweets found")
                break
            for tweet in new_tweets:
				#The detals you want to scrape. Add other/additional data by putting different references, see Twitter developers website;
					csvwriter.writerow([tweet.created_at,
					clean(tweet.user.screen_name),
					clean(tweet.text),
					tweet.user.created_at, #Might seem arbitrary, but good for idintifying bots
					tweet.user.followers_count,
					tweet.user.friends_count,
					tweet.user.statuses_count,
					clean(tweet.user.location), #The location set by the user themselves
					tweet.user.geo_enabled,
					tweet.user.lang,
					clean(tweet.user.time_zone),
					tweet.retweet_count
					]);

            tweetCount += len(new_tweets)
            #print("Downloaded {0} tweets".format(tweetCount))
            max_id = new_tweets[-1].id
        except Exception as e:
            # Just exit if any error
            print("some error : " + str(e))
            pass

print ("Downloaded {0} tweets, Saved to {1}".format(tweetCount, fName))