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Grab likes et al for members of a Facebook group.
#This is a really simple script:
##Grab the list of members of a Facebook group (no paging as yet...)
#Lets you do things like http://blog.ouseful.info/2012/12/05/emergent-social-interest-mapping-red-bull-racing-facebook-group/
###For each member, try to grab their Likes
#USAGE
#> python fbLinksGrabber.py -group GROUPID -typ THING -FBTOKEN ETC
#THING is one of groups, likes, books etc
import urllib,json,csv,argparse
#Grab a copy of a current token from an example Facebook API call. eg from clicking a keyed link on:
#https://developers.facebook.com/docs/reference/api/examples/
#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')
parser.add_argument('-typ',default='likes',help='Facebook group ID')
args=parser.parse_args()
if args.gid!=None: gid=args.gid
if args.FBTOKEN!=None: FBTOKEN=args.FBTOKEN
if args.typ!=None: typ=args.typ
import datetime
def getTimeStampedProjDirName(path,stub):
now = datetime.datetime.now()
ts = now.strftime("_%Y-%m-%d-%H-%M-%S")
return path+'/'+stub+ts
#Quick test - output file is simple 2 column CSV that we can render in Gephi
#fn='fbgroupliketest_'+str(gid)+'.csv'
fn=getTimeStampedProjDirName('.','fbgroup_'+typ+'_test_'+str(gid) )
writer=csv.writer(open(fn+'.csv','wb+'),quoting=csv.QUOTE_ALL)
uids=[]
def getGroupMembers(gid):
gurl='https://graph.facebook.com/'+str(gid)+'/members?limit=5000&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:
print data
return data
def getX(X,uid,gid):
#X: likes
print "Get",X,"for",str(uid)
#Should probably implement at least a simple cache here
lurl="https://graph.facebook.com/"+str(uid)+"/"+X+"?access_token="+FBTOKEN
ldata=json.load(urllib.urlopen(lurl))
print ldata
if len(ldata['data'])>0:
for i in ldata['data']:
o=[]
if 'name' in i:
#writer.writerow([str(uid),i['name'].encode('ascii','ignore')])
o.append( str(uid) )
o.append( i['name'].encode('ascii','ignore') )
print str(uid),i['name'],
#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 i['category'],
o.append( i['category'] )
if 'id' in i:
print i['id'],
o.append( i['id'] )
writer.writerow( o )
print ''
#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)
getX(typ,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)
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