how-to-scrape-imdb-data 0.0.1

Python client for scraping IMDb title data using the ScrapingBee web scraping API

how-to-scrape-imdb-data

Scrape IMDb title data into parsed JSON. A thin Python wrapper over the ScrapingBee web scraping API that fetches an IMDb page through residential proxies and returns fields using the extraction rules from ScrapingBee's IMDb guide.

pip install how-to-scrape-imdb-data

If you searched for how to scrape IMDb data, or you need a reliable IMDb scraper that does not get blocked, this is the wrapper. Requires Python 3.8+ and requests.

30-second example

from how_to_scrape_imdb_data import ImdbScraper

scraper = ImdbScraper(api_key="YOUR_API_KEY")

movie = scraper.title("tt1375666")  # Inception
print(movie)

Grab a key first. ScrapingBee gives 1,000 credits with no card at scrapingbee.com.

The client

ImdbScraper(api_key: str, timeout: int = 60)

Requests use a premium (residential) proxy by default, which is what keeps IMDb from blocking a repeated job. The client serializes extraction rules and builds title URLs for you.

Methods

title(title_id, extract_rules=None, **kwargs)

Scrape an IMDb title page by its id, for example tt1375666. Returns JSON with title, rating, genres, summary, and director by default.

Argument	Purpose
title_id	IMDb id such as tt1375666 (required)
extract_rules	Override the default fields with your own selectors
premium_proxy	Residential proxies (default True)
render_js	Force or disable JavaScript rendering (default: platform default)
extra	Dict of any other documented HTML API parameter

scrape(url, extract_rules=None, **kwargs)

Fetch any IMDb URL, such as a person page or a chart. Returns rendered HTML by default, or JSON when you pass extract_rules.

Default fields

The default extraction uses the selectors from ScrapingBee's IMDb guide:

{
    "title": {"selector": "h1", "type": "text"},
    "rating": {"selector": "span[role='img']", "type": "text"},
    "genres": {"selector": "div[data-testid='genres'] a", "type": "list"},
    "summary": {"selector": "span[data-testid='plot-xl']", "type": "text"},
    "director": {"selector": "li[data-testid='title-pc-principal-credit']:first-child a", "type": "text"},
}

Pass your own extract_rules when you need different fields, or add ai_extract_rules through extra for natural-language extraction.

Scrape a list of movies

scraper = ImdbScraper(api_key="YOUR_API_KEY")

ids = ["tt0111161", "tt0068646", "tt1375666"]
catalog = [scraper.title(tid) for tid in ids]

Credits

ScrapingBee bills successful requests. An IMDb title request with a premium proxy and the default rendering costs 25 credits. CSS extraction adds nothing; ai_extract_rules adds 5. See scrapingbee.com/pricing.

Notes

• Scrape public IMDb pages only. ScrapingBee's terms prohibit scraping behind a login.
• Selectors reflect IMDb's current title-page markup and may need updating over time.

Links

• How to scrape IMDb (ScrapingBee)
• Data extraction rules
• ScrapingBee pricing

License

MIT

Disclaimer

Unofficial Python client built on the ScrapingBee web scraping API. Not affiliated with ScrapingBee or IMDb. Comply with IMDb's terms of service and applicable law.