python-filmaffinity 0.0.17

Python wrapper for FilmAffinity

This is a simple python scraping for the FilmAffinity.

Installation

Pip

pip install python-filmaffinity

From Source

git clone [e-mail]:sergiormb/python_filmaffinity.git
cd python_filmaffinity
python setup.py install

Requirements

requests >= 2.0.1
requests-cache >= 0.4.13
bs4 >= 0.0.1

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']

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

v0.0.17 (18-02-2021)

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

• Added original_title (@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://github.com/jcea

License

The MIT License (MIT)

Copyright (c) 2014 Derrick Gilland

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.