Facebook likes grabber

fbGrab.py

#This is a really simple script:
##Grab the list of members of a Facebook group (no paging as yet...)
###For each member, try to grab their Likes

import urllib,csv,argparse


##INSTRUCTIONS:
#1) Download this file, eg to ~/Downloads/fbGrab.py
#2) Get a Facebook group ID and paste into gid below
#3) Get a Facebook auth token (click link from Facebook API page) and paste in FBTOKEN below
#4) Save the file
#5) in the terminal, cd to where your file is (eg cd ~/Downloads/fbGroup.py)
#6) run the script with: python fbGrab.py
#7) the results are dropped into a CSV file in the same directory


#----
####CONFIGURE THESE BITS
#A group ID
gid='YOURGROUPIDHERE'
#A current access token
FBTOKEN='YOURTOKENHERE'
#How many group members
glim=1000
#------

try: import simplejson as json
except ImportError: import json

#Grab a copy of a current token from an example Facebook API call.
#Something a bit like this:
#AAAAAAITEghMBAOMYrWLBTYpf9ciZBLXaw56uOt2huS7C4cCiOiegEZBeiZB1N4ZCqHgQZDZD

#parser = argparse.ArgumentParser(description='Generate social positioning map around a Facebook group')

#parser.add_argument('-gid',default='2311573955',help='Facebook group ID')
#gid='2311573955'

#parser.add_argument('-FBTOKEN',help='Facebook API token')




#Quick test - output file is simple 2 column CSV that we can render in Gephi
fn='fbgroupliketest_'+str(gid)+'.csv'
writer=csv.writer(open(fn,'wb+'),quoting=csv.QUOTE_ALL)

uids=[]

def getGroupMembers(gid):
	gurl='https://graph.facebook.com/'+str(gid)+'/members?limit='+str(glim)+'&access_token='+FBTOKEN
	data=json.load(urllib.urlopen(gurl))
	if "error" in data:
		print "Something seems to be going wrong - check OAUTH key?"
		print data['error']['message'],data['error']['code'],data['error']['type']
		exit(-1)
	else:
		return data

#Grab the likes for a particular Facebook user by Facebook User ID
def getLikes(uid,gid):
	#Should probably implement at least a simple cache here
	lurl="https://graph.facebook.com/"+str(uid)+"/likes?access_token="+FBTOKEN
	ldata=json.load(urllib.urlopen(lurl))
	print ldata
	
	if len(ldata['data'])>0:	
		for i in ldata['data']:
			if 'name' in i:
				writer.writerow([str(uid),i['name'].encode('ascii','ignore')])
				#We could colour nodes based on category, etc, though would require richer output format.
				#In the past, I have used the networkx library to construct "native" graph based representations of interest networks.
				if 'category' in i: 
					print str(uid),i['name'],i['category']

#For each user in the group membership list, get their likes				
def parseGroupMembers(groupData,gid):
	for user in groupData['data']:
		uid=user['id']
		writer.writerow([str(uid),str(gid)])
		#x is just a fudge used in progress reporting
		x=0
		#Prevent duplicate fetches
		if uid not in uids:
			getLikes(user['id'],gid)
			uids.append(uid)
			#Really crude progress reporting
			print x
			x=x+1
	#need to handle paging?
	#parse next page URL and recall this function


groupdata=getGroupMembers(gid)
parseGroupMembers(groupdata,gid)

can i get to make in webbase...
pm me..

can you make for grabbing user id only?