python-filmaffinity 0.1.0

Python wrapper for FilmAffinity

This is a simple python scraping for the FilmAffinity.

Installation

Pip

pip install python-filmaffinity

Optional Pydantic models:

pip install "python-filmaffinity[models]"

From Source

git clone [e-mail]:sergiormb/python_filmaffinity.git
cd python_filmaffinity
python -m pip install -e ".[dev]"

Requirements

beautifulsoup4 >= 4.9.1
requests >= 2.24.0
requests-cache >= 1.0.0

Python 3.9 or newer is required.

FilmAffinity does not provide a public API for this package. The library uses HTML scraping, so selectors can break when FilmAffinity changes its layout.

Examples

import python_filmaffinity
service = python_filmaffinity.FilmAffinity()
movie = service.get_movie(title='Celda 211')
movie['title']
Celda 211
movie['rating']
7.7
movie['directors']
['Daniel Monzón']
movie['actors']
['Luis Tosar', 'Alberto Ammann', 'Antonio Resines', 'Carlos Bardem', 'Marta Etura', 'Vicente Romero', 'Manuel Morón', 'Manolo Solo', 'Fernando Soto', 'Luis Zahera', 'Patxi Bisquert', 'Félix Cubero', 'Josean Bengoetxea', 'Juan Carlos Mangas', 'Jesús Carroza']

Optional models and exporters

The public API keeps returning dictionaries by default. Install the models extra and pass as_model=True to receive Pydantic models:

service = python_filmaffinity.FilmAffinity()
movie = service.get_movie(id='495280', as_model=True)
movie.title

Export helpers accept dictionaries, lists and models:

movies = service.search(title='Batman')
python_filmaffinity.to_json(movies, 'movies.json')
python_filmaffinity.to_csv(movies, 'movies.csv')
python_filmaffinity.to_markdown(movies, 'movies.md')

Command line

filmaffinity search "Batman" --top 5
filmaffinity movie 197671 --images --json
filmaffinity top --kind filmaffinity --top 10

Development

python -m pip install -e ".[dev]"
python -m pytest
RUN_INTEGRATION=1 python -m pytest -m integration
python -m build
twine check dist/*

The persistent sqlite cache is stored in the user’s cache directory by default. Use cache_backend="memory" for runs that should not write to disk.

Usage

language

• Spanish: ‘es’

• USA, UK: ‘en’

• México: ‘mx’

• Argentina: ‘ar’

• Chile: ‘cl’

• Colombia: ‘co’

• Example

import python_filmaffinity
service = python_filmaffinity.FilmAffinity(lang='en')

search

Parameter	Required	Type	Description
title	False	String	Search for the title of the movie
cast	False	String	Search movies by actor
director	False	String	Search movies by the director
from_year	False	String	Search start date
to_year	False	String	Search end date

• Example

movies = service.search(cast='Nicolas Cage')

get_movie

Parameter	Required	Type	Description
id	False	String	FilmAffinity id
title	False	String	Get movie by title
trailer	False	Boolean	Return movie with trailer
images	False	Boolean	Return movie with images

• Example

movies = service.get_movie(title='Avatar')
movies = service.get_movie(id='495280')

top_filmaffinity

Parameter	Required	Type	Description
from_year	False	String	Search start date
to_year	False	String	Search end date
top	False	Integer	Number of elements

• Example

movies = service.top_filmaffinity()
movies = service.top_filmaffinity(from_year=2010, to_year=2011)

top_premieres

Parameter	Required	Type	Description
top	False	Integer	Number of elements

• Example

movies = service.top_premieres()

top_netflix, top_hbo, top_filmin, top_movistar, top_rakuten, top_tv_series

Parameter	Required	Type	Description
top	False	Integer	Number of elements

• Example

movies = service.top_netflix()
movies = service.top_hbo(top=5)
movies = service.top_filmin()
movies = service.top_movistar()
movies = service.top_rakuten()
movies = service.top_tv_series()

recommend HBO, Netflix, Filmin, Movistar, Rakuten

Parameter	Required	Type	Description
trailer	False	Boolean	Return movie with trailer
images	False	Boolean	Return movie with images

• Example

movies = service.recommend_netflix()
movies = service.recommend_hbo()
movies = service.recommend_filmin()
movies = service.recommend_movistar()
movies = service.recommend_rakuten()

Changelog

v0.1.0 (17-06-2026)

• Added the filmaffinity command line interface.

• Added optional Pydantic models via as_model=True.

• Added JSON, CSV and Markdown export helpers.

• Moved the default persistent cache to the user’s cache directory.

• Renamed the PyPI publishing workflow to publish-to-pypi.yml.

v0.0.21 (17-06-2026)

• Updated scraping for the current FilmAffinity layout.

• Replaced the deprecated user-agent dependency with an internal header pool.

• Added fast parser tests and optional live integration tests.

• Modernized packaging metadata and GitHub Actions.

v0.0.20 (28-09-2023)

• Scrapping updated

v0.0.19 (22-06-2021)

• Fixed errors in get_country

v0.0.18 (26-02-2021)

• When images are requested, lets provide also the country where they were published (@jcea)

• Correctly provide the trailers listed in filmaffinity (@jcea)

• Spurious search in youtube deleted (@jcea)

• Extract correctly when multiple genres (@jcea)

• Added “writers”, “music”, “cinematography” and “producers” (@jcea)

• Regression processing “original_title” in searches (@jcea)

v0.0.17 (18-02-2021)

• Deleted spaces at the end of the title (@jcea)

• Added original_title (@jcea)

• Fix directors scraping (@jcea)

v0.0.15 (03-08-2020)

• Search by genre

v0.0.14 (08-09-2018)

• Fixed errors

v0.0.13 (07-09-2018)

• Adds proxies and random user-agent in headers

v0.0.12 (27-08-2018)

• Changed description

v0.0.11 (27-08-2018)

• Fixed errors

v0.0.1O (27-08-2018)

• Fixed errors with SSL

v0.0.09 (28-12-2017)

• Replaces cachetools for requests-cache

v0.0.8 (26-12-2017)

• Add images

• Fixed errors

v0.0.7 (15-12-2017)

• Fixes encoding for the analyzed results

• Disabled limitations for all the supported languages

• Change of name to the main class.

• Adds initial language check and raise error if this is not in support

• Adds basic exceptions

v0.0.6 (12-06-2017)

• Add cachetools

v0.0.5 (13-06-2017)

• Fixed errors

v0.0.4 (11-06-2017)

• Top new DVDs

• Get movie with trailer

• Top TV series

• Return movies list with raiting

v0.0.3 (10-06-2017)

• Top Netlfix, HBO and Filmin

• Recommendation from Netflix, HBO or Filmin

• Fixed errors

v0.0.2 (31-05-2017)

• Search movies by title, year, director or cast.

• Get the filmaffinity top and search by year

• Get the premieres top

v0.0.1 (29-05-2017)

• Initial release.

Authors

Lead

• Sergio Pino, [e-mail], sergiormb.github.io

Collaborators

• opacam https://github.com/opacam

• jcea - https://www.jcea.es/ - https://blog.jcea.es/ - https://github.com/jcea

License

The MIT License (MIT)

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.