Get YOUR movie dataset — 10,000 IMDb titles in CSV in under an hour

Training a recommendation engine? Building a movie-night slack bot? Running a thesis on 20 years of horror box office? You don't need a six-figure IMDb Pro subscription or a weekend spent writing a BeautifulSoup script that'll break when IMDb reshuffles their CSS. This actor pulls titles + ratings + cast + genres + box office straight from public IMDb pages and hands you clean JSON/CSV ready for pandas, Supabase, or whatever you're building next.

Who this is for: ML engineers building recommendation models. Data journalists writing about entertainment trends. Indie devs building movie-discovery apps. Academic researchers studying film industry patterns.

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Common Objections (we hear these every week)

Q: "Is scraping IMDb allowed? I don't want my project to get taken down." A: The actor hits only public IMDb pages (the same ones a logged-out visitor sees). We parse public data, not IMDb's paid API or members-only Pro data. For commercial redistribution of large IMDb datasets, you should review IMDb's ToS yourself — most research/non-commercial/aggregate-analysis uses are fine under fair-use norms. Check with your legal team before shipping a product that re-publishes full IMDb records.

Q: "IMDb throttles me after 50 requests with a custom script. Will this hit the same wall?" A: The actor uses Apify's residential proxy pool + request pacing by default, so you won't see the CAPTCHA wall solo scripts hit. Tested at 10,000 titles per run without throttling on our end. If you hit IMDb's rate limits, we slow down automatically — the run takes longer but never fails completely.

Q: "I need box office data + Rotten Tomatoes + Metacritic all in one row. Does this give me that?" A: This actor extracts IMDb fields only (title, year, rating, votes, genres, director, cast, runtime, budget, gross where IMDb exposes them). If you need a unified row across IMDb+RT+Metacritic+Letterboxd, email spinov001@gmail.com — we build multi-source joins as a $150 custom project.

Q: "How much for 10,000 movies — ballpark?" A: ~$5 in Apify compute. Free tier covers first 100 titles. Compare to IMDb Datasets (public but incomplete) or IMDb Pro API ($150/month + per-query fees).

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Features

• Complete movie data — title, year, rating, genre, director, cast, runtime
• Box office info — budget and gross where IMDb exposes them
• User ratings — IMDb score + vote count
• Flexible input — scrape by URL, title, or IMDb ID
• CSV/JSON export — works with pandas, Excel, Supabase
• Proxy rotation — residential IPs, no manual CAPTCHA handling

Output Example

{
  "title": "The Shawshank Redemption",
  "year": 1994,
  "rating": 9.3,
  "votes": 2800000,
  "genres": ["Drama"],
  "director": "Frank Darabont",
  "cast": ["Tim Robbins", "Morgan Freeman"],
  "runtime": "142 min",
  "scrapedAt": "2026-04-21T10:00:00.000Z"
}

Input Parameters

Parameter	Type	Default	Description
urls	Array	[]	IMDb movie URLs (e.g., https://www.imdb.com/title/tt0111161/)
maxResults	Number	50	Max movies to extract per run

Step-by-Step

1. Open IMDb Movie Scraper → click "Try for free"
2. Paste URLs or IMDb IDs
3. Click Start → download JSON/CSV (~30s for 50 titles)

Entertainment Data Toolkit

Pair IMDb data with the rest of the public-web entertainment stack:

Source	Tool	Data
IMDb (this)	Movies, TV shows	Ratings, cast, genres, box office
YouTube Comments	Video reactions	Audience sentiment
Google News	Entertainment news	Industry trends
Reddit	Community discussions	Fan opinions

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Need a custom IMDb+Rotten-Tomatoes+Letterboxd unified scraper built in 48 hours? Pilot rate: $100/project or $150 for a 3-actor bundle. 79 published Apify actors, flagship Trustpilot scraper at 242+ runs, paid case study with Proxy-Seller. Email spinov001@gmail.com — reply by Friday for priority slot.