IMDB Top movies by genre scraping

I made this project to try Scrapy. The developed spider extracts the info from the top movies by genres listings on imdb.com to a Mongo database.

The database is populated with three collections:

movie:

{
    "_id" : ObjectId("5b95a75c252126484e38d032"),
    "movie_id" : "tt1431045",
    "title" : "A Movie",
    "year" : "2016",
    "duration" : "1h 48min",
    "genres" : [
        "Action",
        "Adventure",
        "Comedy"
    ],
    "images" : [
        "full/b859847a08e8dcb9ef96d4b15965d149caf2856f.jpg"
    ]
}

actor:

{
    "_id" : ObjectId("5b95a760252126484e38d05e"),
    "actor_id" : "nm1765324",
    "name" : "An Actor Name",
    "images" : [
        "full/fde484f2efb28cc8a51b765b0a26bcac435cecbb.jpg"
     ]
}

movie_actor:

{
    "_id" : ObjectId("5b95a75e252126484e38d037"),
    "actor_id" : "nm0417520",
    "character" : "A Character Name",
    "movie_id" : "tt0386064"
}

Also, movies posters and actors pictures are stored in the images directory.

Setup

Edit de imdb_scraping/settings.py to configure

IMAGES_STORE = './images'
MONGO_URI = 'mongodb://localhost:27017/'
MONGO_DATABASE = 'movies'

# If True, get all pages of each genre else only first page of each genre
GENRE_ALL_PAGES = False

Run

Create and activate virtual env

python3 -m venv venv
. ./venv/bin/activate

Install dependencies

pip install -r requirements.txt

Check spiders contracts

scrapy check topmovies

Scrap

scrapy crawl topmovies