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Franck, the Fediverse graph crawler

This repository contains a Python script to crawl various social media from the Fediverse. The goal is to fetch information about the Fediverse and represent it with different graphs.

I developed this codebase for research purposes but feel free to re-use it and submit issues if you foresee relevant improvements. The file TODO.md already contains some naive ideas (submit issues if you consider one of these ideas relevant to your application).

About the implementation

This repository uses aiohttp and leverages asynchronous co-routines to optimize the crawl. For now, we perform focused crawl, so the task is small enough to make multi-processing unnecessary/overkill.

Crawling initialization

Peertube

By default, the crawl starts from the instance list of https://index.kraut.zone/api/v1/instances/hosts, which is more exhaustive than the Peertube instance list.

Lemmy

About the output

Peertube

The crawl outputs raw and cleaned CSV files. The file instances.csv contains information about the instances (views, users, videos, etc.). If you would like additional information about the instances, check the API documentation and submit a PR/issue. The file followers.csv contains the follower links. It can be loaded on the graph visualizer Gephi. In instances.csv, I duplicated the column host in Id and Label to use this file as a node table in Gephi.

Along with these two files, the script provides clean_instances.csv and clean_followers.csv, which only includes the working instances.

Getting started

There are only two dependencies that can be installed with the following command:

pip3 install -r requirements.txt

To start the crawl, you can use the following command:

python3 crawler.py

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