IMDB Reviews Scraper

🎬 IMDb data for film research

Film researchers, catalog teams, and developers can collect IMDb title details, people profiles, and user reviews in structured rows. Find titles and people with IMDb URLs or one keyword search. Collect reviews from title review-page URLs. Use available ratings, cast, credits, review text, and dates to study films and audience feedback.

• Collect title and rating data with IMDb Scraper for your film catalog.
• Use IMDb Movie Scraper to gather movie details for comparison.
• Save audience feedback with IMDb Reviews Scraper for review analysis.
• Look up people and career credits with IMDb Actor Scraper.
• Find titles or people by keyword with IMDb Search Scraper.

📦 Titles, people, and review rows

Each row has a recordType: title, person, or review. Fields appear when IMDb provides them. Title rows can include release details, genres, plots, ratings, cast, crew, companies, budgets, box office, awards, media links, and other title facts. Person rows can include birth details, a biography, professions, known-for titles, and credits. Review rows contain review text and can include ratings, authors, dates, vote counts, and spoiler flags.

The first eligible occurrence of each source item is saved. Later matches through another submitted URL are ignored and do not rewrite the saved row.

▶️ Choose IMDb URLs or a keyword

1. Choose IMDb URLs or Keyword search.
2. Add URLs for titles, people, title review pages, searches, advanced searches, genres, or lists. For keyword search, enter one search phrase and choose titles, people, or both.
3. For title keyword results, choose a title category or keep all categories.
4. Set maxItems for a stop point. Leave it empty to return all available results until the source is exhausted.
5. Run the Actor and open the collected rows from the Output tab.

Only fields for your chosen method are used. Run separate searches when you need different keywords or category settings.

⚙️ Input

Input fields

Field	Type	What it does
discoveryMethod	string	Required. Choose urls or keyword. The form starts with urls.
startUrls	array of objects	IMDb title, person, title review-page, search, advanced-search, genre, or list URLs. Each object has a url. Review-page URLs collect reviews; search, genre, and list URLs find titles and people. Used for urls.
keyword	string	Name or words to search for on IMDb. Required for keyword.
entityCategory	string	For keyword search, choose titles, people, or all. Default: titles.
titleCategory	string	Title filter for keyword search: all, movie, tvSeries, tvEpisode, tvMiniSeries, tvMovie, tvSpecial, tvShort, short, video, videoGame, musicVideo, podcastSeries, or podcastEpisode. Default: all. Ignored when searching only for people.
maxItems	integer	Optional positive limit across all submitted URLs or the keyword search. Each title, person, or review counts as one result. Leave it empty to return all available results until the source is exhausted. The form pre-fills 1; there is no fixed upper bound.

Successful default input

This public input is from a successful run:

{
  "discoveryMethod": "urls",
  "startUrls": [
    {
      "url": "https://www.imdb.com/title/tt0111161/"
    }
  ],
  "entityCategory": "titles",
  "titleCategory": "all",
  "maxItems": 1
}

🧾 Output

The results output link opens the dataset. The tables below cover the three row shapes. Nested fields use dotted paths; fields inside arrays describe each array entry. Optional source fields can be absent.

Title rows

Field	Type	What it does
recordType	string	Always title.
imdbId	string	IMDb title ID.
title	string	Title shown by IMDb.
originalTitle	string	Title in its original language.
alternativeTitles	array of objects	Other titles listed by IMDb.
alternativeTitles.title	string	Alternative title.
alternativeTitles.country	string	Country where the title is used.
alternativeTitles.language	string	Language of the title.
alternativeTitles.note	string	IMDb's note about the title.
titleType	string	IMDb title category.
releaseYear	integer	First release year.
endYear	integer	Last series year, when listed.
releaseDates	array of objects	Listed release dates.
releaseDates.date	string	Date as listed by IMDb.
releaseDates.country	string	Country or region of release.
releaseDates.note	string	IMDb's note about the release.
runtimeMinutes	number	Runtime in minutes.
certifications	array of objects	Listed age ratings.
certifications.country	string	Country or region for the rating.
certifications.rating	string	Listed certification.
certifications.note	string	IMDb's note about the certification.
genres	array of strings	Listed genres.
plot	string	Plot summary.
plotKeywords	array of strings	Listed plot keywords.
countriesOfOrigin	array of strings	Listed countries of origin.
languages	array of strings	Listed spoken languages.
rating	number	IMDb aggregate user rating.
voteCount	integer	Number of votes reported by IMDb.
cast	array of objects	Cast members and their characters.
cast.imdbId	string	Person's IMDb ID.
cast.name	string	Credited person's name.
cast.characters	array of strings	Characters played by the person.
cast.job	string	Listed credit or job.
directors	array of objects	Credited directors.
directors.imdbId	string	Person's IMDb ID.
directors.name	string	Credited person's name.
directors.characters	array of strings	Characters played by the person.
directors.job	string	Listed credit or job.
writers	array of objects	Credited writers.
writers.imdbId	string	Person's IMDb ID.
writers.name	string	Credited person's name.
writers.characters	array of strings	Characters played by the person.
writers.job	string	Listed credit or job.
creators	array of objects	Credited creators.
creators.imdbId	string	Person's IMDb ID.
creators.name	string	Credited person's name.
creators.characters	array of strings	Characters played by the person.
creators.job	string	Listed credit or job.
productionStatus	string	Listed production status.
companies	array of objects	Companies linked to the title.
companies.name	string	Company name.
companies.role	string	Company's role in the title.
companies.imdbId	string	IMDb company ID.
budget	object	Budget amount reported by IMDb.
budget.amount	number	Reported amount.
budget.currency	string	Currency code.
boxOffice	array of objects	Listed box-office amounts.
boxOffice.amount	number	Reported amount.
boxOffice.currency	string	Currency code.
boxOffice.market	string	Market covered by the amount.
boxOffice.category	string	Kind of box-office total.
boxOffice.date	string	Listed date or period.
awards	array of objects	Listed wins and nominations.
awards.name	string	Award or event name.
awards.category	string	Award category.
awards.year	integer	Award year.
awards.result	string	Win or nomination stated by IMDb.
awards.recipients	array of strings	Credited award recipients.
media	array of objects	Image and video references.
media.url	string	Source image or video URL.
media.caption	string	Caption shown by IMDb.
media.mediaType	string	image or video.
trivia	array of strings	Listed trivia entries.
goofs	array of strings	Listed goofs.
quotes	array of strings	Listed quotes.
faqs	array of objects	Listed questions and answers.
faqs.question	string	Question shown by IMDb.
faqs.answer	string	Answer shown by IMDb.
crazyCredits	array of strings	Listed unusual credits.
alternateVersions	array of strings	Listed alternate-version details.
soundtracks	array of objects	Listed soundtrack credits.
soundtracks.title	string	Song or piece title.
soundtracks.credits	array of strings	Listed credits for the piece.
recommendations	array of objects	Related titles recommended by IMDb.
recommendations.imdbId	string	IMDb ID of the linked title.
recommendations.name	string	Name or title shown by IMDb.
connections	array of objects	Listed title connections.
connections.relationship	string	Connection stated by IMDb.
connections.title	object	Linked title.
connections.title.imdbId	string	IMDb ID of the linked title.
connections.title.name	string	Name or title shown by IMDb.
filmingLocations	array of strings	Listed filming locations.
technicalSpecifications	array of objects	Listed technical details.
technicalSpecifications.name	string	Specification name.
technicalSpecifications.values	array of strings	Values listed for the specification.

Example title row

This row from a successful run is shortened. Large cast and director arrays use "..."; other fields are omitted.

{
  "recordType": "title",
  "imdbId": "tt0903747",
  "title": "Breaking Bad",
  "titleType": "tvSeries",
  "releaseYear": 2008,
  "endYear": 2013,
  "genres": [
    "Crime",
    "Drama",
    "Thriller"
  ],
  "rating": 9.5,
  "voteCount": 2685163,
  "plot": "A chemistry teacher diagnosed with inoperable lung cancer turns to manufacturing and selling methamphetamine with a former student to secure his family's future.",
  "cast": "...",
  "directors": "..."
}

Person rows

Field	Type	What it does
recordType	string	Always person.
imdbId	string	IMDb person ID.
name	string	Person's name shown by IMDb.
birthName	string	Person's birth name.
birthDate	string	Listed birth date.
birthPlace	string	Listed birthplace.
deathDate	string	Listed death date.
deathPlace	string	Listed place of death.
biography	string	Listed biography.
professions	array of strings	Listed professions.
knownFor	array of objects	Titles IMDb lists the person as known for.
knownFor.imdbId	string	IMDb ID of the linked title.
knownFor.name	string	Name or title shown by IMDb.
credits	array of objects	Person's career credits.
credits.title	object	Linked title.
credits.title.imdbId	string	IMDb ID of the linked title.
credits.title.name	string	Name or title shown by IMDb.
credits.job	string	Credited job.
credits.characters	array of strings	Characters played by the person.
media	array of objects	Image and video references.
media.url	string	Source image or video URL.
media.caption	string	Caption shown by IMDb.
media.mediaType	string	image or video.

Example person row

This row from a successful run is shortened. The biography, credits, and media use "...".

{
  "recordType": "person",
  "imdbId": "nm0000033",
  "name": "Alfred Hitchcock",
  "birthName": "Alfred Joseph Hitchcock",
  "birthDate": "1899-08-13",
  "birthPlace": "Leytonstone, London, England, UK",
  "deathDate": "1980-04-29",
  "deathPlace": "Bel Air, Los Angeles, California, USA",
  "biography": "...",
  "professions": [
    "Director",
    "Producer",
    "Writer"
  ],
  "knownFor": [
    {
      "imdbId": "tt0054215",
      "name": "Psycho"
    },
    {
      "imdbId": "tt0052357",
      "name": "Vertigo"
    },
    {
      "imdbId": "tt0053125",
      "name": "North by Northwest"
    },
    {
      "imdbId": "tt0034248",
      "name": "Suspicion"
    }
  ],
  "credits": "...",
  "media": "..."
}

Review rows

Field	Type	What it does
recordType	string	Always review.
imdbId	string	IMDb review ID.
titleId	string	IMDb ID of the reviewed title.
summary	string	Review heading.
text	string	Full review text.
rating	number	Rating given by the reviewer.
author	object	Reviewer listed by IMDb.
author.name	string	Reviewer's displayed name.
author.userId	string	IMDb user ID of the reviewer.
submissionDate	string	Submission date reported by IMDb.
helpfulVotes	integer	Helpful votes reported by IMDb.
unhelpfulVotes	integer	Unhelpful votes reported by IMDb.
containsSpoilers	boolean	Whether IMDb marks the review as containing spoilers.

Example review row

This complete row is from a successful run:

{
  "recordType": "review",
  "imdbId": "rw6606154",
  "titleId": "tt0111161",
  "summary": "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. What can I say that hasn't said before? Not much, it's the story, the acting, the premise, but most of all, this movie is about how it makes you feel. Sometimes you watch a film, and can't remember it days later, this film loves with you, once you've seen it, you don't forget.\n\nThe ultimate story of friendship, of hope, and of life, and overcoming adversity.\n\nI understand why so many class this as the best film of all time, it isn't mine, but I get it. If you haven't seen it, or haven't seen it for some time, you need to watch it, it's amazing. 10/10.",
  "rating": 10,
  "author": {
    "name": "Sleepin_Dragon",
    "userId": "ur15311310"
  },
  "submissionDate": "2021-02-17",
  "helpfulVotes": 659,
  "unhelpfulVotes": 52,
  "containsSpoilers": false
}

💳 Pricing

This Actor uses pay-per-event pricing. A paid event applies when a matching title, person profile, or user review is successfully saved to your dataset, including titles and people found through discovery. Check Apify's pricing tab for the current price.

Event	Charged outcome
Title details	One title with identifying and descriptive details saved to your dataset.
Person profile	One person profile with identifying and career details saved to your dataset.
User review	One individual user review saved to your dataset.

🔌 Integrations

Use the results link in the run output to open your dataset. Export the saved rows from Apify or fetch them through the Apify API for your own data workflow.

Apify tutorial

❓ FAQ

How do I collect reviews instead of title details?

Choose IMDb URLs and submit a title review-page URL such as https://www.imdb.com/title/tt0111161/reviews/. A title URL collects title details; a review-page URL collects audience reviews.

Does the title category filter apply to people?

No. It applies to title results in keyword search. It is ignored when you search only for people.

What happens if the same title appears through two URLs?

Only the first eligible occurrence is saved. Later matches are ignored and do not add data to that row.

What happens if I leave Maximum results empty?

The Actor returns all available results until the source is exhausted. Set a positive maxItems value to limit the total number of title, person, and review rows.

Will every title have every field?

No. Fields depend on what IMDb provides for that title. The Actor does not promise complete IMDb coverage, and media fields are references rather than downloaded files.

Can I use it to research the best movies of all time?

Yes. Submit a supported IMDb list or advanced-search URL for the titles you want to study, then compare available ratings and vote counts. For IMDb Top 250 or IMDb Top 100 research, use a supported list URL or submit the title URLs from your chosen list.

Is this the official IMDb website?

No. This is an Apify Actor that collects supported IMDb data. IMDb's website is https://www.imdb.com/. You do not need to supply an IMDb login for supported public data.

📝 Changelog

v0.0 (03-10-2026)

• Initial release.

🆘 Support

For issues, questions, or feature requests, file a ticket and I'll fix or implement it in less than 24h 🫡

🔗 Related Actors

• Letterboxd Film & Reviews Scraper: Compare film details, ratings, and audience reviews from Letterboxd.
• Douban Movie Scraper: Reviews: Add Chinese film and TV ratings, metadata, and public reviews to your research.
• IMDB Advanced Scraper: Explore IMDb title and artist data with search filters and mappings.
• IMDb Scraper: Collect IMDb movie, TV, and video game listings for catalog work.
• IMDB Reviews Scraper 🎬: Collect review text, author details, and helpfulness votes for audience research.

Made with ❤️ by Maxime Dupré