I'm reading the code for 'mining the social web 2nd E' on here and I'm trying to understand how example 6 is working!
I'm trying to print the length of statuses
and is outputting different results, below I will display two code snippets and the results for each one and I hope if somebody can explain to me why I'm getting different results... thanks in advance.
1st code snippet:
q = '#python'
count = 100
# See https://dev.twitter.com/docs/api/1.1/get/search/tweets
search_results = twitter_api.search.tweets(q=q,count=count)
statuses = search_results['statuses']
# Iterate through 5 more batches of results by following the cursor
for _ in range(5):
print "Length of statuses", len(statuses)
try:
next_results = search_results['search_metadata']['next_results']
except KeyError, e: # No more results when next_results doesn't exist
break
the output is:
Length of statuses 100
Length of statuses 100
Length of statuses 100
Length of statuses 100
Length of statuses 100
which is exactly what I'm expecting. but if I add this to the above code:
q = '#python'
count = 100
# See https://dev.twitter.com/docs/api/1.1/get/search/tweets
search_results = twitter_api.search.tweets(q=q,count=count)
statuses = search_results['statuses']
# Iterate through 5 more batches of results by following the cursor
for _ in range(5):
print "Length of statuses", len(statuses)
try:
next_results = search_results['search_metadata']['next_results']
except KeyError, e: # No more results when next_results doesn't exist
break
# Create a dictionary from next_results, which has the following form:
# ?max_id=313519052523986943&q=NCAA&include_entities=1
kwargs = dict([ kv.split('=') for kv in next_results[1:].split("&") ])
search_results = twitter_api.search.tweets(**kwargs)
statuses += search_results['statuses']
the output will be:
Length of statuses 100
Length of statuses 200
Length of statuses 200
my question is why in the second time it prints only three batches and not five as the for loop is set to loop five times?? and why they are not of 100 count each?
Thanks to Matthew A. Russell the author of 'Mining the Social Web', he answered my question HERE