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cinemagoer/cinemagoer

Cinemagoer is a Python package useful to retrieve and manage the data of the IMDb (to which we are not affiliated in any way) movie database about movies, people and characters observed · 2026-10-10

github.com/cinemagoer/cinemagoer · homepage · HTML · GPL-2.0 (copyleft) observed · 2026-10-10

Health v2 · maintenance only

92/100

  • Activity 98
  • Release rhythm 79
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.

  • gap_med: 54
  • age_days: 5924
  • days_rel: 61
  • days_push: 13
  • n_releases_24m: 2

Full methodology

Adoption not part of the score

1324 stars · 377 forks observed · 2026-10-10

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Cinemagoer (formerly IMDbPY) is a Python package for retrieving and managing IMDb data about movies, people, characters, and companies from IMDb's non-commercial downloadable TSV datasets. It provides a simple API over a local database (SQLite by default, or any SQLAlchemy-supported database) populated from the IMDb datasets.

Use cases

  • query imdb movie data from python
  • search for people and movies by name
  • import imdb tsv datasets into a local sqlite database
  • get directors, cast, and genres of a movie programmatically
  • build a local movie database for an app
  • analyze imdb datasets for research

When to choose

  • you need programmatic access to IMDb data offline from a local database
  • you want a mature Python API over the free IMDb datasets
  • you need SQLite or SQLAlchemy-backed storage of movie/person data

When to avoid

  • you need to parse live IMDb web pages (use cinemagoerng instead)
  • you need real-time data not present in the periodic dataset dumps
  • you require a license other than GPL-2.0

Facets

library · maturity active

database parser web-scraping search-engine sdk databases entertainment developer-tools python cross-platform imdb movies movie-database sql sqlite sqlalchemy tsv-datasets cinema data-engineering

2 sources

Member repositories

RepositoryRoleHealth v2
cinemagoer/cinemagoermain92

For agents

markdown · JSON · MCP: product_card(name="cinemagoer/cinemagoer")

Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem