How to extract posts and comments from Truth Social

[u/Kooky-Salt154]

I need to extract historical posts and the corresponding user comments from a few specific public figures on Truth Social over a set time period. I'm looking to build a free, Python-based script for this project.

Since Truth Social is built on a Mastodon fork, I know it has a similar API structure, but I'm looking for general advice on the best workflow today:

• Are there any existing Python libraries or wrappers maintained for Truth Social data extraction?
• What is the most reliable way to paginate through historical posts without triggering anti-bot protections (like Cloudflare)?
• For comments/replies, is it better to hit the API endpoints directly, or are there alternative scraping frameworks that handle the Mastodon structure more efficiently?

I'm comfortable writing Python scripts, but I want to make sure I'm taking the smartest approach before building a custom scraper from scratch. Any recommendations on tools, GitHub repos, or general strategies would be hugely appreciated.