
Research
NPM targeted by malware campaign mimicking familiar library names
Socket uncovered npm malware campaign mimicking popular Node.js libraries and packages from other ecosystems; packages steal data and execute remote code.
This python library was started because most of the existing libraries out there are either no longer in development, use the old REST API, or are lacking in support of the more advanced features available, such as batch querying and FQL support.
1. to provide a lightweight, easy to use Python wrapper for the Facebook
Graph API and Facebook Query Language (FQL) interface.
2. to provide a nice API to Facebook's batch query interface.
3. to make it easy to use multiple access tokens, where appropriate /
necessary.
fbg = FBGraph('access-token')
me = fbg.get('me')
# prints your first name
print me['first_name']
# prints out the name of all your likes
my_likes = fbg.get('me/likes')
for like in my_likes['data']:
print like['name']
# make a request with parameters...
my_first_3_likes = fbg.get('me/likes', {'limit': 3})
# get an object by it's ID #:
facebook_platform_page = fbg.get('19292868552')
# batched queries with a single access token
fbg = FBGraph('access-token')
# you can write it manually if you like...
results = fbg.batch([
{'method': 'GET', 'relative_url': 'me'},
{'method': 'GET', 'relative_url': 'me/friends?limit=50'}
])
# or use the GetRequestFactory
batch = [GetRequestFactory('me'), GetRequestFactory('me/friends', limit=50)]
fbg.batch(batch)
# If you need to use multiple access tokens in
# one batch call, you can!
# Note, you still must specify a "fallback" token when you create an
# instance of FBGraph()
fbg.batch([
GetRequestFactory('PAGE1_FB_OBJ_ID', access_token=PAGE1_ACCESS_TOKEN),
GetRequestFactory('PAGE2_FB_OBJ_ID', access_token=PAGE2_ACCESS_TOKEN),
GetRequestFactory('PAGE3_FB_OBJ_ID', access_token=PAGE3_ACCESS_TOKEN),
])
FAQs
Full-featured, lightweight Facebook API wrapper for Graph & FQL.
We found that pyfaceb demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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