The Facebook API enables developers to create apps that interact with the Facebook platform and access its data, such as user profiles, posts, and comments. By leveraging these libraries, users can improve their Facebook marketing strategies, collect data for research purposes, and engage with their audience more effectively.
These libraries are valuable for developers, marketers, and companies that wish to create and deploy Facebook API apps for various objectives such as social media monitoring, influencer marketing, and audience analysis. Users may access and analyze Facebook data in real-time by employing Python Facebook API modules, which can enhance their marketing tactics and audience engagement.
Here is a list of the 8 Best Python Facebook API Libraries:
Facebook-SDK
- Helps in accessing Facebook data, such as user profiles and posts.
- Useful in automating Facebook interactions, such as posting and commenting.
- Helps in managing Facebook ads and campaigns.
- Useful in building custom Facebook applications.
facebook-sdkby mobolic
Python SDK for Facebook's Graph API
facebook-sdkby mobolic
Python 2680 Version:v3.0.0 License: Permissive (Apache-2.0)
statsforecast
- Helps in forecasting time series data, such as Facebook metrics.
- Useful in predicting future trends in Facebook data.
- Helps in generating statistical models of Facebook data.
- Useful in building custom Facebook analytics tools.
statsforecastby Nixtla
Lightning ⚡️ fast forecasting with statistical and econometric models.
statsforecastby Nixtla
Python 2639 Version:v1.5.0 License: Permissive (Apache-2.0)
Fbchat
- Helps in automating Facebook Messenger interactions, such as sending and receiving messages.
- Useful in building custom Facebook chatbots.
- Helps in managing Facebook groups and pages.
- Useful in automating Facebook Messenger marketing campaigns.
fbchatby fbchat-dev
Facebook Chat (Messenger) for Python
fbchatby fbchat-dev
Python 1125 Version:v2.0.0a5 License: Permissive (BSD-3-Clause)
Facebook Business SDK
- Helps in accessing Facebook data, such as user profiles and posts.
- Useful in automating Facebook interactions, such as posting and commenting.
- Helps in managing Facebook ads and campaigns.
- Useful in building custom Facebook applications.
facebook-python-business-sdkby facebook
An SDK built to facilitate application development for Facebook Ads API.
facebook-python-business-sdkby facebook
Python 984 Version:3.1.8 License: Others (Non-SPDX)
Facepy
- Helps in accessing Facebook data, such as user profiles and posts.
- Useful in automating Facebook interactions, such as posting and commenting.
- Helps in managing Facebook ads and campaigns.
- Useful in building custom Facebook applications.
facepyby jgorset
Facepy makes it really easy to use Facebook's Graph API with Python
facepyby jgorset
Python 855 Version:Current License: Permissive (MIT)
PyFacebook
- Helps in accessing Facebook data, such as user profiles and posts.
- Useful in automating Facebook interactions, such as posting and commenting.
- Helps in managing Facebook ads and campaigns.
- Useful in building custom Facebook applications.
pyfacebookby sciyoshi
PyFacebook
Facepager
- Helps in accessing Facebook data, such as user profiles and posts.
- Useful in automating Facebook interactions, such as posting and commenting.
- Helps in managing Facebook ads and campaigns.
- Useful in building custom Facebook applications.
Facepagerby strohne
Facepager was made for fetching public available data from YouTube, Twitter and other websites on the basis of APIs and webscraping.
Facepagerby strohne
Python 479 Version:v4.5.1 License: No License
PySocialWatcher
- Helps in monitoring Facebook user activity, such as posts and comments.
- Useful in tracking changes to Facebook user profiles.
- Helps in collecting Facebook data for research purposes.
- Useful in building custom Facebook monitoring tools.
pySocialWatcherby maraujo
Social Watcher on Facebook Marketing API
pySocialWatcherby maraujo
Python 74 Version:Current License: Permissive (MIT)