IMDb Scraper

Scrape IMDb titles and user reviews: rating, votes, genres, cast, release date, runtime, plot, box office, plus user reviews with rating, text, date and helpful votes. Works with title URLs, IDs, charts and search.

IMDb Scraper reads the same data the imdb.com website loads for its own pages, so you get clean JSON instead of scraped HTML. For movies and TV shows you get the rating and vote count, Metascore, genres, release date, runtime, certificate, plot, directors, writers and the top-billed cast with their characters, countries, languages, production companies, budget, worldwide, domestic and opening-weekend gross, awards ("Won 4 Oscars. 160 wins & 400 nominations total"), the IMDb popularity rank (MOVIEmeter / TVmeter) and Top 250 rank, poster, trailer, keywords, filming locations, and episode and season counts for series. For user reviews you get the star rating (1-10), headline, full text, date, helpful and not-helpful votes and the spoiler flag. You can sort reviews (most helpful, newest, oldest, most votes, highest or lowest rating), filter by star rating and skip spoilers. The whole review list is reachable: 50 reviews per request, all the way to the last review (12,000+ for The Shawshank Redemption). IMDb charts (Top 250 movies and TV, Most Popular, Lowest Rated, Top Indian / English movies) and advanced searches (by genre, type, year, rating, votes, country, language, keyword) give ranked rows. You don't need an IMDb account. Download the results as JSON, CSV or Excel, or use the API from Python, Node, n8n, Make or Google Sheets. You pay only for the items you get.

What data does IMDb Scraper extract?

Every item has a type field: title, review or list_entry.

Title items (type: "title", mode titles)

Field	Description
id, url	IMDb title ID (tt0111161) and URL
title, originalTitle	Title as shown on IMDb (US English) and the original-language title
titleType, titleTypeId, isSeries	Movie, TV Series, TV Mini Series, Short, ... and whether it has episodes
year, endYear	Release year; last year for finished series
releaseDate, releaseCountry	First release date (YYYY-MM-DD, or YYYY-MM / YYYY when IMDb only knows part of it) and its country
runtimeMinutes	Runtime in minutes
genres	e.g. ["Crime", "Drama"]
rating, voteCount	IMDb user rating (1-10) and number of votes
metascore, criticReviewsCount	Metacritic score and the number of critic reviews behind it
userReviewsCount	Number of IMDb user reviews
plot	Short plot summary
certificate	Rating certificate, e.g. R, PG-13, TV-MA
directors, writers	[{id, name, url}]
cast, castTotal	Top 15 billed actors [{id, name, characters, url}] and the full cast size
countries, languages, companies	Countries of origin, spoken languages, production companies
budget, budgetCurrency	Production budget when IMDb lists one
grossWorldwide, grossDomestic, openingWeekendGross (+ ...Currency, openingWeekendEndDate)	Box office (domestic = US & Canada)
popularityRank, topRank	IMDb popularity rank (MOVIEmeter / TVmeter) and position in the Top 250 (or null)
awardsSummary, awardWins, awardNominations	Summary as on the title page, total wins and total nominations (wins included)
posterUrl, trailerUrl	Full-size poster and latest trailer
keywords, keywordsTotal	Top 20 plot keywords and how many IMDb has
filmingLocations	Up to 5 filming locations
episodesCount, seasonsCount	For series; null for movies
isAdult, source, scrapedAt	Adult flag, data source (api, or page / page_jsonld on the proxy fallback), ISO timestamp

Review items (type: "review", mode reviews)

Field	Description
titleId, titleName	The movie or show the review belongs to
reviewId, url	IMDb review ID (rw6606154) and its public URL
rating	Integer 1-10, or null when the reviewer gave no star rating
title	Review headline
text	Full review text (plain text, paragraphs kept)
submittedAt	Date the review was posted (YYYY-MM-DD)
helpfulUpVotes, helpfulDownVotes	"Helpful" / "Not helpful" votes
isSpoiler	true when the review is flagged as containing spoilers
scrapedAt	ISO timestamp

Reviewer usernames, profile links and avatars are not collected.

Chart and search rows (type: "list_entry", modes chart and search)

listName, rank, id, title, originalTitle, titleType, year, endYear, rating, voteCount, metascore, runtimeMinutes, certificate, genres, plot, posterUrl, url, sourceUrl, scrapedAt.

How to use IMDb Scraper

1. Pick a Mode: reviews (default), titles, chart or search.
2. Add titles in any combination: Start URLs (title, reviews, chart, advanced-search or /find/?q= URLs), Title IDs (tt0111161) or Search terms (Dune 2021). In titles and reviews mode a chart or search URL expands to the titles on it (up to Max titles per chart / search URL).
3. Set Max items (and Max reviews per title in reviews mode) to cap the run and the cost.
4. For reviews, optionally choose the Review order, a star rating to keep, and whether to include spoilers.
5. Click Start. Results appear in the Dataset tab; export them from there or use the API.

Input example

{
  "mode": "reviews",
  "titleIds": ["tt0111161"],
  "searchTerms": ["Dune 2021"],
  "startUrls": [{ "url": "https://www.imdb.com/title/tt0903747/reviews/?sort=submission_date&dir=desc" }],
  "maxItems": 3000,
  "maxReviewsPerTitle": 1000,
  "reviewSort": "newest",
  "includeSpoilers": true
}

{ "mode": "titles", "startUrls": [{ "url": "https://www.imdb.com/chart/top/" }], "maxTitlesPerList": 250, "maxItems": 250 }

{ "mode": "search", "startUrls": [{ "url": "https://www.imdb.com/search/title/?genres=horror&title_type=feature&release_date=2020-01-01,2024-12-31&num_votes=50000,&sort=user_rating,desc" }], "maxItems": 200 }

Output example

{
  "type": "title",
  "id": "tt0111161",
  "url": "https://www.imdb.com/title/tt0111161/",
  "title": "The Shawshank Redemption",
  "titleType": "Movie",
  "year": 1994,
  "releaseDate": "1994-10-14",
  "runtimeMinutes": 142,
  "genres": ["Drama"],
  "rating": 9.3,
  "voteCount": 3248119,
  "metascore": 82,
  "plot": "After a banker is sentenced to life in Shawshank Prison, he forms an unlikely friendship with a seasoned inmate and clings to hope amid cruelty and corruption.",
  "certificate": "R",
  "directors": [{ "id": "nm0001104", "name": "Frank Darabont", "url": "https://www.imdb.com/name/nm0001104/" }],
  "writers": [{ "id": "nm0000175", "name": "Stephen King", "url": "https://www.imdb.com/name/nm0000175/" }, { "id": "nm0001104", "name": "Frank Darabont", "url": "https://www.imdb.com/name/nm0001104/" }],
  "cast": [{ "id": "nm0000209", "name": "Tim Robbins", "characters": ["Andy Dufresne"], "url": "https://www.imdb.com/name/nm0000209/" }],
  "countries": ["United States"],
  "languages": ["English"],
  "companies": ["Castle Rock Entertainment"],
  "budget": 25000000,
  "budgetCurrency": "USD",
  "grossWorldwide": 29425588,
  "popularityRank": 40,
  "topRank": 1,
  "awardsSummary": "Nominated for 7 Oscars. 21 wins & 43 nominations total",
  "posterUrl": "https://m.media-amazon.com/images/M/MV5BMDAyY2FhYjctNDc5OS00MDNlLThiMGUtY2UxYWVkNGY2ZjljXkEyXkFqcGc@._V1_.jpg",
  "trailerUrl": "https://www.imdb.com/video/vi3877612057/",
  "keywords": ["prison", "based on the works of stephen king", "escape from prison", "friendship between men", "wrongful conviction"],
  "episodesCount": null,
  "seasonsCount": null,
  "scrapedAt": "2026-10-05T17:12:00Z"
}

{
  "type": "review",
  "titleId": "tt0111161",
  "titleName": "The Shawshank Redemption",
  "reviewId": "rw6606154",
  "url": "https://www.imdb.com/review/rw6606154/",
  "rating": 10,
  "title": "An incredible movie. One that lives with you.",
  "text": "It is no wonder that the film has such a high rating, it is quite literally breathtaking. ...",
  "submittedAt": "2021-02-17",
  "helpfulUpVotes": 659,
  "helpfulDownVotes": 52,
  "isSpoiler": false,
  "scrapedAt": "2026-10-05T17:12:00Z"
}

How to scrape all IMDb reviews of a movie or TV show

Set Mode to reviews, add the title (URL, tt ID or name) and set Max reviews per title as high as you need. Reviews are read 50 per request with IMDb's own pagination cursor, so the actor goes through the whole list, not just the first page you see on the site: in testing it walked all 12,026 reviews of The Shawshank Redemption that IMDb serves (IMDb's header says 12,053; the rest are hidden by IMDb) in 242 requests, about 4 minutes. Use Review order newest to follow a title over time, rating_low to find complaints, or Only reviews with this rating to get, say, every 1-star review. A reviews URL copied from imdb.com keeps its sort, rating filter and spoiler setting.

How to scrape the IMDb Top 250

Use chart mode with https://www.imdb.com/chart/top/ (or leave Start URLs empty: the Top 250 is the default). All 250 rows come back in one request with rank, year, rating, votes, Metascore, runtime, certificate and genres. Other charts: /chart/toptv/, /chart/moviemeter/, /chart/tvmeter/, /chart/bottom/, /chart/top-english-movies/ and /india/top-rated-indian-movies/ (plus Malayalam, Tamil and Telugu). For full details of every movie on a chart, use titles mode with the same URL and Max titles per chart / search URL = 250.

Can I use IMDb advanced search filters?

Yes. Build a search on imdb.com/search/title, copy the URL and paste it into Start URLs in search mode (ranked rows) or in titles / reviews mode (details or reviews of each result). Supported filters: title text, title type, genres, release date or year range, user rating range, number of votes, country of origin, primary language and keywords, with any of IMDb's sort orders (popularity, rating, number of votes, release date, A-Z, year, runtime, US box office, Metascore). Filters the actor does not support are listed in the log and ignored. Results are paginated 50 at a time with no fixed limit.

Monitor changes on a schedule

Turn on Only new or changed items and save the input as a task with a Schedule (Apify Console: Saved tasks -> Schedule, for example daily). Each run remembers what earlier runs of the same input returned and outputs only what is new: reviews not seen before in reviews mode (read newest first; paging stops where the previous run's reviews begin, usually after one API call per title), titles whose IMDb rating or Metascore changed in titles mode, and titles that entered a chart or search result or changed rating in chart and search mode. Unchanged items are skipped before they are saved, so they are not charged. Add Only reviews newer than (2 days or a date like 2026-10-01) to bound how far back the first run reads; IMDb dates reviews by day, so the cutoff day itself is included. Monitored items carry changeType (new or changed) and, for changed titles, previousValues with the old values (e.g. {"rating": 8.7}); use Monitoring key to keep several schedules on the same input apart.

Does it work without an IMDb account or a proxy?

Yes. Everything comes from data IMDb shows to anonymous visitors. The actor reads IMDb's own data API (the one the website calls), which does not need a proxy. Signed-in features (watchlists, your own ratings, IMDbPro data) are never accessed.

Proxy note

imdb.com pages sit behind an AWS WAF "verify you are human" challenge, but the data API this actor uses is not, so a normal run makes no proxy requests at all. If IMDb ever refuses the direct API requests, the actor retries them through the proxy in the input and, if that fails too, falls back to reading imdb.com pages through the proxy. Only Apify's Unblocker proxy (group UNBLOCKER, the default) passes the WAF challenge. Unblocker is billed to your Apify account per successful request: 10 Unblocker units, about $0.0015 on the free plan and less on paid plans; requests the proxy cannot complete are free. The page fallback is thinner: a title page gives the main fields (rating, votes, genres, date, runtime, plot, director, cast, keywords) but not budget, gross, awards or ranks, and a reviews page carries only 5 reviews. The run's SUMMARY record (key-value store) reports dataRoute (direct, proxy or pages) and successfulRequests (billed proxy requests), so every run's proxy cost is visible.

How much does it cost?

Pay per item: title $0.01, review $0.003, chart / search row $0.002. No start fee and no subscription; Apify's free plan is enough to try it. Platform usage is small (the API answers in about a second).

Worked example: 1,000 reviews of one movie = 20 API requests (50 reviews each) = $3.00 in review events and $0.00 in proxy. In the fallback case where IMDb refused direct requests and the Unblocker had to carry them, the same 20 requests would add about 20 x $0.0015 = $0.03. The Top 250 with full title details = 1 chart request + 250 title requests = 250 x $0.003 = $0.75 (plus at most about $0.38 of Unblocker on the fallback).

Integrations and API

Use the run in Zapier, Make, n8n, Google Sheets, or call it from Python / Node with the Apify client. See the API tab for ready-made snippets.

Is it legal to scrape IMDb?

This Actor collects only publicly visible data: title metadata, aggregate ratings, public credits (cast and crew names as listed on IMDb), charts, and the text of public user reviews. It does not collect reviewer usernames, profile links, avatars, emails or anything behind a login. IMDb's Conditions of Use restrict automated collection and commercial use of IMDb data, so check that your use case is allowed (IMDb licenses its data for commercial use separately). You are responsible for how you use the data and for complying with IMDb's terms and applicable law.

Support

Found a bug or need a field added? Open an issue in the Issues tab; it is usually answered within a day.