flickr

# Flickr API - to extract the pictures containing giraffe and geo location
# insert your own key and secret
api_key = 'bb442da9177b0f782255e227f2f2cee4'
secret_api_key ='4cf09aea38529025'

fr = flickrapi.FlickrAPI(api_key, secret_api_key)
pset_id = '72157673330147052'

for photo in fr.walk_set(photoset_id=pset_id, extras="geo"):
    print (photo.attrib['id'])
    print (photo.attrib['latitude'])
    print (photo.attrib['longitude'])
    
pid = []
urls = []
powner = []
ptitle = []
plat = []
plong = []

#descriptions = []
#names = []

for i, photo in enumerate(photos):
    #print (i)
    url = photo.get('url_c')
    urls.append(url)
    oname = photo.attrib['owner']
    powner.append(oname)
    title = photo.attrib['title']
    ptitle.append(title)
    photoID = photo.attrib['id']
    pid.append(photoID)
    #print(photo.attrib['id'])
    for photo in fr.photos.geo.getLocation(api_key=api_key,photo_id=photoID, extras="geo"):
    #print (photo.attrib['id'])
    #print(photo.get('id'))
    
        for location in photo:
            #print (location.attrib['latitude'])
            lat = location.attrib['latitude']
            plat.append(lat)
            #print (location.attrib['longitude'])
            long = location.attrib['longitude']
            plong.append(long)
    
    # get 50 urls
    if i > 50000:
        break

dtuples = list(zip(pid,powner,ptitle,urls,plat,plong))

flickr_df = pd.DataFrame(dtuples, columns=['photoID','owner','title','Url','Lat','Long'])
flickr_df.head()
flickr_df.to_csv('flickr_geo_V1.csv')