Installation

June 17, 2026 · View on GitHub

Python FilmAffinity

This is a simple python scraping for the FilmAffinity.

.. image:: https://github.com/sergiormb/python_filmaffinity/workflows/Tests/badge.svg?branch=master :target: https://github.com/sergiormb/python_filmaffinity/actions/workflows/python-test.yml?query=branch%3Amaster .. image:: https://img.shields.io/github/license/mashape/apistatus.svg
:target: https://github.com/sergiormb/python_filmaffinity/blob/master/LICENSE.rst .. image:: https://img.shields.io/pypi/pyversions/python-filmaffinity.svg :target: https://pypi.python.org/pypi/python_filmaffinity/ .. image:: https://readthedocs.org/projects/python-filmaffinity/badge/?version=latest :target: http://python-filmaffinity.readthedocs.io/en/latest/?badge=latest

Installation

Pip

pip install python-filmaffinity

Optional Pydantic models:

pip install "python-filmaffinity[models]"

From Source

git clone git@github.com: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

.. code-block:: python

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:

.. code-block:: python

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

Export helpers accept dictionaries, lists and models:

.. code-block:: python

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

.. code-block:: bash

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

Development

.. code-block:: bash

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

.. code-block:: python

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

Example

.. code-block:: python

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

get_movie

Example

.. code-block:: python

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

top_filmaffinity

Example

.. code-block:: python

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

top_premieres

Example

.. code-block:: python

movies = service.top_premieres()

top_netflix, top_hbo, top_filmin, top_movistar, top_rakuten, top_tv_series

Example

.. code-block:: python

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

Example

.. code-block:: python

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, sergiormb88@gmail.com, sergiormb.github.io <https://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.