cf-pages/moviejson — explained in plain English
Analysis updated 2026-07-15 · repo last pushed 2022-12-23
Build a movie or TV tracking app and fetch film details by ID without your own database.
Create a personal media organizer that pulls cast info and titles from simple web links.
Prototype a recommendation tool using pre-collected movie recommendation data.
Populate a what should I watch tonight app with trending movie lists organized by date.
| cf-pages/moviejson | 0xkinno/neuralvault | 0xmayurrr/ai-contractauditor | |
|---|---|---|---|
| Stars | 1 | 1 | 1 |
| Language | — | TypeScript | TypeScript |
| Last pushed | 2022-12-23 | — | — |
| Maintenance | Dormant | — | — |
| Setup difficulty | easy | hard | easy |
| Complexity | 1/5 | 4/5 | 2/5 |
| Audience | vibe coder | developer | developer |
Figures from each repo's GitHub metadata at analysis time.
No setup needed, just fetch data from the provided URLs directly.
MovieJSON is a free collection of movie and TV show data that you can access through simple web links. Think of it as a ready-made database for film information, titles, years, cast details, recommendations, and what's currently popular, that anyone can plug into an app or website without having to build their own database from scratch. The project works by serving JSON files, which are plain-text data files that both humans and programs can easily read. You fetch information by visiting specific URLs. For example, to get details about a particular movie, you visit a link containing that movie's ID number and receive back all the stored information about it. You can also pull a list of all movies for offline searching, look up films by title, fetch recommendations related to a specific movie, or see what was trending on a given date. The hot and trending lists are organized by date, updated daily around 7 AM. This would be useful for someone building a movie or TV tracking app, a personal media organizer, a recommendation tool, or a prototype that needs realistic film data. If you're building something like a "what should I watch tonight" app and need a data source to populate it, this gives you a starting point without licensing or negotiating access to a commercial database. The data is scraped from the internet and is intended for learning purposes only. It's not comprehensive, the project maintains a public list of what's been collected. Some earlier entries are missing recommendation data since that feature was added later. The project's maintainers have stripped out the tools that originally gathered the data, so the repository now serves purely as a static data source rather than a live scraping system.
A free collection of movie and TV show data served as plain-text JSON files you can fetch via simple web links, perfect for plugging into apps without building your own database.
Dormant — no commits in 2+ years (last push 2022-12-23).
No license is specified, so the data is freely accessible but default copyright terms apply.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly vibe coder.
This repo across BitVibe Labs
double-check against the repo, no cap.