META Graph API Scraper

In the age of Artificial Intelligence and Big Data, social networks represent a valuable source of data, often regarded as a goldmine. This is a key reason why most social media APIs, particularly following the transformative launch of ChatGPT, have been restricted to use by specially authorized individuals.

This repository contains my Python implementation of a public data scraper for the META Graph API, specifically designed for the Facebook platform. It is limited to accessing data from public Facebook accounts only.

Additionally, I have conducted a basic sentiment analysis on the collected posts and provided a detailed explanation of the API's functionality in a Jupyter notebook.

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Dependencies

Component	Version
Python	3.9
pip	24.0

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Directory Structure

├── facebook_public_scraper
│   ├── main.py
│   ├── requirements.txt
│   ├── scraper.py
│   └── utils.py
├── Meta_Graph_API_tutorial
│   ├── Facebook Graph API tutorial.pdf
│   ├── META-sentiment-analysis.ipynb
│   └── README.md
└── README.md

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Usage

Clone the repo

git clone https://github.com/AndrewDarnall/META-Graph-API-Scraper.git
cd META-Graph-API-Scraper

Setup the dependencies

cd facebook_scraper
python -m pip install -r requirements.txt

Create a target file with a list of public facebook pages, usually you would call it target.txt

touch targets.txt
echo "NintendoAmerica" >> targets.txt

Run the scraper

python main.py targets.txt

Once finished, the scraper will have created in the current working directory facebook_public_scraper a directory, written in capital characters, of each scraped public page.
Each directory contains images, text and raw .json of the scraped page's posts