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IMDb Reviews Scraper

Pricing

$4.99/month + usage

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IMDb  Reviews Scraper

IMDb Reviews Scraper

Developed by

Zoro

Zoro

Maintained by Community

Scrape IMDb user reviews for a specific movie or series. Specify the IMDb title ID and maximum number of reviews to fetch. Get structured review data including author, rating, title, and content, ready for analytics or app integration.

5.0 (1)

Pricing

$4.99/month + usage

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Last modified

8 days ago

IMDb Reviews Scraper – Apify Actor

Overview

The IMDb Reviews Scraper actor allows you to fetch user reviews for a specific movie or series from IMDb. It uses the IMDb scraper API and pushes the raw API response to the Apify dataset. Each review includes details such as the author, rating, summary, full text, submission date, upvotes, downvotes, and spoiler flag.

User Input

The actor accepts two input parameters:

keyword_1 (string, required) IMDb title ID of the movie or series (e.g., tt13655456).

keyword_2 (integer, required) Maximum number of reviews to fetch (e.g., 20).

Example Input: { "keyword_1": "tt13655456", "keyword_2": 20 }

Output

The actor pushes the raw API response to the default dataset. Each review object contains the following fields:

  • review_id: Unique ID of the review
  • username: IMDb username of the reviewer
  • user_id: IMDb user ID
  • rating: Numeric rating given by the user
  • summary: Short summary of the review
  • text: Full review text
  • submission_date: Date the review was submitted
  • upVotes: Number of upvotes
  • downVotes: Number of downvotes
  • spoiler: Boolean indicating if the review contains spoilers

Example Output:

[
{
"review_id": "rw7580291",
"username": "paudieconnolly",
"user_id": "ur47056177",
"rating": 7,
"summary": "Try not to binge watch. Hard to turn off",
"text": "This is a strong suspense thriller building on each episode with solid pacing, sometimes Netflix seem to need filler episodes to get to ten. Not for the first time a strong offering at seven where every episode progressed the plot with well-timed twists and turns that keeps you ready for the next episode. Kevin Hart Wesley Snipes lead a number great supporting performances very enjoyable journey.",
"submission_date": "2021-11-24",
"upVotes": 109,
"downVotes": 16,
"spoiler": false
},
{
"review_id": "rw7596510",
"username": "LordCommandar",
"user_id": "ur69892343",
"rating": 8,
"summary": "Great pacing and story",
"text": "The series keeps you hooked from start to finish, excellent character development and storyline. Every episode builds suspense and delivers on expectations.",
"submission_date": "2021-11-25",
"upVotes": 87,
"downVotes": 5,
"spoiler": false
}
]

How to Run

  1. Enter the IMDb title ID and maximum number of reviews in the input fields.
  2. Run the actor. The raw API response will appear in the Apify dataset.
  3. Download the dataset in JSON, CSV, or Excel format from the Apify console if needed.

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