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Python wrapper for FilmAffinity

Project description

This is a simple python scraping for the FilmAffinity.

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Installation

Pip

pip install python_filmaffinity

From Source

git clone git@github.com: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')

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

v0.0.14 (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

Collaborators

  • opacam

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.

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