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IMDb Scraper

Apify Actor for scraping IMDb movie and TV show data. Uses CheerioCrawler to parse server-rendered __NEXT_DATA__ for fast, reliable extraction without a browser.

Features

• Scrape IMDb charts: Top 250 Movies, Top 250 TV Shows, Most Popular Movies, Most Popular TV Shows
• Search by genre with results sorted by user rating
• Two modes: quick chart/search data or full detail scraping
• Extracts rich structured data from __NEXT_DATA__ JSON
• Detail mode adds: cast, directors, writers, box office, metacritic score, keywords, production companies, countries, and languages

Input

Example Input

{
"chartTypes":["top","toptv"],
"maxListings":50,
"scrapeDetails":false
}

Genre Search Example

{
"chartTypes":[],
"searchQueries":["action","comedy","horror"],
"maxListings":25
}

Output

Chart mode (default)

{
"rank":1,
"imdbId":"tt0111161",
"title":"The Shawshank Redemption",
"titleType":"Movie",
"year":1994,
"rating":9.3,
"votes":2900000,
"runtimeSeconds":8520,
"runtime":"2h 22m",
"certificate":"R",
"genres":["Drama"],
"plot":"A banker convicted of uxoricide forms a friendship...",
"imageUrl":"https://m.media-amazon.com/images/...",
"url":"https://www.imdb.com/title/tt0111161/",
"chartType":"top",
"scrapedAt":"2026-03-17T12:00:00.000Z"
}

Detail mode (scrapeDetails: true)

Adds these fields to each title:

{
"directors":[{"name":"Frank Darabont","id":"nm0001104"}],
"writers":[{"name":"Stephen King","id":"nm0000175"}],
"cast":[
{"name":"Tim Robbins","id":"nm0000209","characters":["Andy Dufresne"]},
{"name":"Morgan Freeman","id":"nm0000151","characters":["Ellis Boyd 'Red' Redding"]}
],
"keywords":["wrongful imprisonment","prison","escape"],
"metacriticScore":82,
"boxOffice":{
"budget":{"amount":25000000,"currency":"USD"},
"grossDomestic":{"amount":58300000,"currency":"USD"},
"grossWorldwide":{"amount":58300000,"currency":"USD"}
},
"productionCompanies":["Castle Rock Entertainment"],
"countries":["United States"],
"languages":["English"]
}

Available Charts

Available Genres for Search

action, adventure, animation, biography, comedy, crime, documentary, drama, family, fantasy, film-noir, history, horror, music, musical, mystery, romance, sci-fi, sport, thriller, war, western

How It Works

1. Fetches IMDb chart or search pages via HTTP (no browser needed)
2. Extracts __NEXT_DATA__ JSON embedded in the server-rendered HTML
3. Parses structured title data from the Next.js page props
4. Optionally visits individual title pages for rich detail extraction
5. Outputs clean, structured JSON to the Apify dataset

Quick Start

$apify run --purge

Deploy to Apify

apify login
apify push

Run on Apify

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