Faphouse’s ToS explicitly prohibits:

If you use a GitHub scraper to bulk-download content or inflate your own view count, your IP address will be banned, and your creator account (if you have one) will be terminated.

Stars: 87 | Forks: 15 | Language: Python (ML)

Data science meets adult content. This repository contains a machine learning model trained on scraped Faphouse public data (titles, thumbnails, duration, tags) to predict whether a new video will exceed 10,000 views in its first week. It uses a random forest classifier with 78% reported accuracy.

Why it’s "top": The accompanying analysis blog post (linked in the repo) went viral on Hacker News, sparking debate about ethics in predictive modeling for adult platforms.

A: GitHub removes repos only upon valid DMCA takedown notices. Since most repos contain no copyrighted content themselves (only code), rights holders rarely file notices unless the tool explicitly names Faphouse and promotes piracy.

Because Faphouse does not officially publish a public API, advanced developers reverse-engineer the mobile app’s API calls. The "top" wrappers on GitHub are those that successfully mimic the Faphouse Android or iOS app to fetch:

Stars: 102 | Forks: 28 | Language: JavaScript

Automation for power creators. Uploading hundreds of videos manually is tedious. This Node.js script uses Puppeteer (headless browser automation) to log in, navigate to the upload page, fill metadata (title, tags, price), and submit videos from a local folder.

Risks: Automated uploading often violates platform rules against bot activity. Some users report shadow-banning after using similar tools.