Analysis updated 2026-07-06 · repo last pushed 2014-03-27
Build a searchable directory or catalog of African films.
Collect a structured dataset of Ethiopian movies for research.
Scrape movie details from filmsofafrica.com without manual data entry.
| nknj/africanfilmsscraper | 0xhassaan/nn-from-scratch | a-little-hoof/dsr | |
|---|---|---|---|
| Stars | — | 0 | 0 |
| Language | Python | Python | Python |
| Last pushed | 2014-03-27 | — | — |
| Maintenance | Dormant | — | — |
| Setup difficulty | moderate | moderate | hard |
| Complexity | 2/5 | 4/5 | 5/5 |
| Audience | developer | developer | researcher |
Figures from each repo's GitHub metadata at analysis time.
Requires you to manually configure a database system via a settings file, and the README provides minimal setup guidance.
This project is a tool that automatically pulls information about African films from the filmsofafrica.com website. Instead of manually copying details like a movie's name, description, director, genre, and length, the scraper does it for you and saves the data into a database. You give it a link to a specific movie page on the website, and it grabs all those details. You can then browse through the site film by film, moving to the next or previous movie, and save each one to your database as you go. Once the movies are stored, you can search through your saved data, for instance, pulling up all the movies at once or looking up a specific film by its name or an ID number. This would be useful for anyone building a movie directory, catalog, or database focused on African cinema, especially Ethiopian films, since that's the section of the site where the tool has been tested. A researcher or developer who wants a structured dataset of these films without hand-copying each entry would benefit from it. The project was originally created as a solution to a 2015 Python class assignment, so it's a straightforward, educational tool rather than a production-ready application. It relies on a database system that you need to configure yourself, and the README doesn't go into detail about setup beyond pointing you to a settings file. It's also worth noting that it's only been tested on the Ethiopia section of the website, so results on other parts of the site may vary.
A Python scraper that automatically pulls African film details like title, director, genre, and runtime from filmsofafrica.com and saves them into a searchable database for easy cataloging.
Mainly Python. The stack also includes Python.
Dormant — no commits in 2+ years (last push 2014-03-27).
No license information is provided in the repository, so default copyright restrictions apply and usage rights are unclear.
Setup difficulty is rated moderate, with roughly 30min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
Verify against the repo before relying on details.