An R package for accessing Facebook's Graph API to retrieve and analyze social media data programmatically.
Rfacebook is an R package that provides programmatic access to Facebook's Graph API, allowing users to retrieve social media data directly within the R environment. It solves the problem of manually collecting Facebook data by offering functions to extract posts, comments, user information, and engagement metrics for analysis. The package enables researchers and developers to conduct reproducible social media research and build data pipelines for Facebook data.
Social science researchers, data scientists, and R developers who need to collect and analyze Facebook data for academic research, market analysis, or social media monitoring projects.
Developers choose Rfacebook because it provides a specialized, R-native interface to Facebook's API that integrates seamlessly with R's data analysis ecosystem. Unlike generic API clients, it offers domain-specific functions tailored for social media research with proper authentication handling and data formatting for analytical workflows.
Dev version of Rfacebook package: Access to Facebook API via R
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Seamlessly integrates with R's data analysis ecosystem, returning data in tidy formats compatible with packages like dplyr for easy manipulation.
Wraps key Facebook Graph API endpoints for posts, comments, user info, and page insights, enabling detailed social media analysis.
Handles OAuth 2.0 authentication flow, reducing the complexity of accessing Facebook's API within R scripts.
Tailored for reproducible social media research, facilitating academic studies and quantitative analysis with built-in functions for common data retrieval tasks.
The package is not actively maintained, so it may not be updated for Facebook's API changes or have bug fixes, as stated in the README.
All functions require a Facebook app that has undergone App Review, which is a time-consuming and restrictive process for developers.
Due to Facebook's frequent API updates and the package's unmaintained state, it may break without warning, affecting data collection pipelines.