IMDb Scraper

IMDb Scraper by Omkar Cloud gets you 🎯 accurate, 🔍 detailed IMDb data.

IMDb uses the Amazon Web Application Firewall to stop you from getting its data.

IMDb Scraper beats it, so you get the data, and can successfully complete your project.

$1 per 1,000 titles. And with Apify's free plan you get $5 of credit every month, so your first ~5,000 titles each month are free.

This is an excellent Actor made by Omkar Cloud, which is Rated Excellent — 4.7 based on 30 reviews on Trustpilot.

👉 Try IMDb Scraper free — your first ~5,000 titles are Free.

What can I get

• 🔍 Search 11M+ titles — filter by type, genre, year; sort how you like
• 📈 All 6 IMDb charts — Top 250s, Most Popular, Box Office, Celebrities
• 🎬 Full details — cast, Metascore, box office, trailer & more
• 🌍 Localized — release dates, certificates & titles for specific country

Why IMDb Scraper

Most other IMDb scrapers fail you in one of four ways:

• 🗄️ Inaccurate, cached, stale data
• 🧩 Low-detail data — a few fields per title, never the full picture
• 💸 Pay more to get the same data
• 🪦 Works today, breaks next month — nobody maintains it

IMDb Scraper is scraped live on every run, priced honestly, and actively maintained.

Example: A Full IMDb Movie

{
  "id": "tt4154796",
  "title": "Avengers: Endgame",
  "link": "https://www.imdb.com/title/tt4154796/",
  "type": "movie",
  "year": 2019,
  "release_date": "2019-04-26",
  "runtime_minutes": 181,
  "certificate": "PG-13",
  "plot": "After the devastating events of Avengers: Infinity War (2018), the universe is in ruins. With the help of remaining allies, the Avengers assemble once more in order to reverse Thanos' actions and restore balance to the universe.",
  "genres": ["Action", "Adventure", "Sci-Fi"],
  "rating": { "value": 8.4, "vote_count": 1480430, "top_rank": 74 },
  "metascore": { "score": 78, "review_count": 57 },
  "directors": [
    { "id": "nm0751577", "name": "Anthony Russo", "link": "https://www.imdb.com/name/nm0751577/" },
    { "id": "nm0751648", "name": "Joe Russo", "link": "https://www.imdb.com/name/nm0751648/" }
  ],
  "stars": [
    { "id": "nm0000375", "name": "Robert Downey Jr.", "link": "https://www.imdb.com/name/nm0000375/" },
    { "id": "nm0262635", "name": "Chris Evans", "link": "https://www.imdb.com/name/nm0262635/" }
  ],
  "box_office": {
    "budget": { "amount": 356000000, "currency": "USD" },
    "opening_weekend": { "amount": 357115007, "currency": "USD", "weekend_end_date": "2019-04-28", "theater_count": 4662 },
    "gross_worldwide": { "amount": 2799439100, "currency": "USD" }
  },
  "countries_of_origin": ["United States"],
  "spoken_languages": ["English", "Japanese", "Xhosa"]
}

Trimmed for readability.

Get Started with 5,000 Free Titles

1. Hit Try for Free Button — the input is pre-filled with "Avengers" movie's search example.
2. Enjoy your data 😎.

Pricing

High value, Low price.

What	Price	What you get
Standard titles	$1 per 1,000	id, title, year, rating, votes, genres, plot, poster + search/chart context
Detailed titles	$2.50 per 1,000	Everything above + Metascore, certificate, release date, directors, writers, top cast with characters, trailer, box office, similar titles, countries, languages

No start fee — you pay only for the rows you get. Control your spend with Max Titles per Search: 1,000 titles ≈ $1.

💡 Apify's free plan includes $5 of credit every month — about 5,000 free titles, every month.

👉 Scrape your first 5,000 titles free

Run It from Code

Grab your API token from Integrations Settings here and replace <YOUR_API_TOKEN> below.

Python (pip install apify-client)

from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")
run = client.actor("omkar-cloud/imdb-scraper").call(run_input={
    "searchQueries": ["inception"],
    "scrapeTitleDetails": True,
    "maxResultsPerSearch": 10,
})
for title in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(title["title"], title["rating"]["value"], title["box_office"]["gross_worldwide"])

Node.js (npm install apify-client)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_API_TOKEN>' });
const run = await client.actor('omkar-cloud/imdb-scraper').call({
    charts: ['box-office'],
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

💬 Have Questions? We Have Answers.

You're a business owner — we know how hard completing a project can be. So we offer full support: just message us and we'll reply ✅ with a solution within 1 working day.

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👉 Scrape your first 5,000 titles free now