Writing Twitter data to CSV file with Python

Hi there,

I'm using Python and the Twitter API to scrape tweets that use a particular hashtag. The end goal is to scrape 1500 tweets, determine which users tweeted the most, then list the top 10 users who tweeted the most (its for a small school assignment).

I've managed to get my code to the point where I have my top 10 users in a dictionary but can't seem to figure out how to export my data to a CSV file. I've found a few solutions on Stackoverflow but I couldn't get them to work.

Any help would be greatly appreciated. My code is attached. Thanks in advance!
Who is Participating?
peprConnect With a Mentor Commented:
I do not know what twitter module you have. Anyway, the sorted_tweeters should be fine for the purpose. Try to add:
with open(fname_output, 'wb') as f:
    writer = csv.writer(f)
    writer.writerow(('USER', 'DATA'))  # only if you want it
    for t in sorted_tweeters[0:10]:

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A side note: You will probably observe less problem in future when using 4 spaces for one indentation instead of tabs (no tabs in sources). But it is your decision ;)
(You forgot to attach your solution, anyway...)

You should definitely use the standard csv module. Try the following:
import csv
fname_output = 'twitter_users.csv'

# The simulated dictionary.
d = {'user1': 'msg1 or whatever',
     'user2': 'msg2',
     'user3': 'msg3'

# Open the otput file for writing in binary mode.
with open(fname_output, 'wb') as f:
    # Wrap the file object by the writer.
    writer = csv.writer(f)
    # Write the header line to the output if needed.
    writer.writerow(('USER', 'DATA'))
    # Loop through the dictionary and get the tuples.
    # You may want to sort it somehow. Not shown here.
    for t in d.iteritems():
# Note: When using the 'with' construct, the output file is closed automatically.

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When using Python 3, the file open slightly differs because of the difference in how strings are treated.
AdamAuthor Commented:
Thanks for the reply pepr. Really strange, I definitely had the code attached when I submitted the question. I'll post it instead of attaching it. If you could take a look at what I have so far, it would really be helpful.

In the meantime, I will try to work in your sample code with mine and see what I come up with. Thanks.

import twitter, json, operator, csv
#Construct Twitter API object
searchApi = twitter.Twitter(domain="search.twitter.com")
# Hashtag query
query = "#deathstar"
# Dictionary of tweet details
tweeters = dict()

# Loop through 15 pages of tweets = 1500 tweets
for i in range(1,16):
	response = searchApi.search(q=query, rpp=100, page=i)
	tweets = response['results']
	for item in tweets:
		tweet = json.loads(json.dumps(item))
		user = tweet['from_user_name']
		# If user tweets more then once, count the number of times
		if user in tweeters:
			tweeters[user] += 1
			tweeters[user] = 1

# Sort users from most tweets to least
sorted_tweeters = sorted(tweeters.iteritems(), key=operator.itemgetter(1), reverse=True)
# Print the top 10 users who tweeted the most
print sorted_tweeters[0:10]

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AdamAuthor Commented:
Thanks for your help pepr! This worked great. Cheers!
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