IMDb Scraper

Search IMDb at scale without a login or API key. Look up movies, TV shows and people by name, or fetch specific IMDb IDs. Titles come back enriched with rating, vote count, certificate, popularity rank, genres, runtime, plot, and the director, writer and stars. Every row is one clean, structured record.

What it does

• Search - movies, TV shows and people by name; each match is returned.
• Title detail - rating, vote count, certificate, popularity rank, genres, runtime, plot, and director / writer / stars for every title found (toggle off for a faster, search-only run).
• Direct IDs - pass IMDb IDs (tt... for titles, nm... for people) to fetch them directly.

Common uses: building a film or TV dataset, tracking ratings and popularity, enriching a watchlist, and media research.

Input

Field	Type	Description
searchQueries	array	Movie, TV, or person names to search. Example: the dark knight, breaking bad.
titleIds	array	IMDb IDs to fetch directly. Example: tt0468569, nm0634240.
includeDetails	boolean	Enrich titles with rating, cast and details. Default true.
maxItemsPerSource	integer	Cap on results per search. Default 20.
proxyConfiguration	object	Optional. Works without a proxy.

At least one of searchQueries or titleIds is required.

Example input

{
  "searchQueries": ["interstellar", "the office"],
  "includeDetails": true,
  "maxItemsPerSource": 10
}

Output

Each item is one normalized title (or person).

{
  "id": "tt0816692",
  "kind": "title",
  "title": "Interstellar",
  "originalTitle": "Interstellar",
  "type": "Movie",
  "year": 2014,
  "endYear": null,
  "rating": 8.7,
  "votes": 2200000,
  "certificate": "PG-13",
  "popularityRank": 62,
  "runtimeMinutes": 169,
  "genres": ["Adventure", "Drama", "Sci-Fi"],
  "directors": ["Christopher Nolan"],
  "writers": ["Jonathan Nolan", "Christopher Nolan"],
  "stars": ["Matthew McConaughey", "Anne Hathaway", "Jessica Chastain"],
  "plot": "A team of explorers travel through a wormhole in space...",
  "image": "https://m.media-amazon.com/images/M/example.jpg",
  "url": "https://www.imdb.com/title/tt0816692/",
  "detailFetched": true,
  "scrapedAt": "2026-07-18T12:00:00.000Z"
}

People (nm...) come back with name, known-for credits and image. Titles with no rating yet (for example unreleased films) return null for those fields, so the shape is always the same.

Notes

• No login and no API key. Set your search terms and run.
• Turn off includeDetails when you only need the search list (id, title, type, year), for a faster run.

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