IMDB User Reviews Scraper

Scrapes user reviews from IMDB.com. Provide a reviews page URL, and the actor will extract detailed review data, handling pagination automatically.

Key Features

• URL-Based Scraping: Starts from a complete IMDB reviews page URL.
• Automatic Pagination: Clicks "See More" to load all reviews, stopping at a specified limit or the page end.
• Comprehensive Data Extraction: Captures for each review:
  • Title, full text, and numeric rating (1-10)
  • Author name and profile link
  • Publication date
  • Helpful/Not Helpful vote counts
  • Unique review ID and direct link
• Deduplication: Automatically filters out duplicate reviews based on their unique links.

How to Use

1. Find a movie or TV show on IMDB.com.
2. Navigate to its "User reviews" section.
3. Copy the full URL from your address bar (e.g., https://www.imdb.com/title/tt0111161/reviews/).
4. Provide this URL as the searchUrl input to the actor.

Input

Configure the actor with these parameters:

Output

The actor outputs a dataset of review objects in JSON format. Each object includes:

• searchUrl: The original URL used for scraping.
• reviewId: Unique review identifier (e.g., "rw6316364").
• link: Direct link to the individual review page.
• title: Review title/headline.
• reviewText: Full review content (preserves formatting).
• author: Reviewer's username.
• authorProfile: Link to the reviewer's IMDB profile.
• date: Review publication date.
• rating: Numeric rating from 1 to 10.
• helpful: Count of "helpful" votes (as string).
• notHelpful: Count of "not helpful" votes (as string).
• scrapedAt: ISO 8601 timestamp of when the review was scraped.

Example Output:

[
  {
    "searchUrl": "https://www.imdb.com/title/tt4425200/reviews/",
    "reviewId": "rw6316364",
    "link": "https://www.imdb.com/title/tt4425200/review/rw6316364/?ref_=tturv_perm_1",
    "title": "It's just a great action film",
    "reviewText": "I mean. This literally is what is says on the tin...",
    "author": "danielmanson",
    "authorProfile": "https://www.imdb.com/user/ur89745032/?ref_=tturv_usr_1_t",
    "date": "Nov 28, 2020",
    "rating": 8,
    "helpful": "86",
    "notHelpful": "23",
    "scrapedAt": "2025-11-11T03:30:02.731Z"
  }
]

Use Cases & Notes

Common Use Cases: Sentiment analysis, rating trend tracking, reviewer research, market analysis for entertainment, and audience perception tracking.

Notes:
* The actor only works with IMDB URLs ending in /reviews/.
* Results are saved incrementally as they are scraped.
* Vote counts are stored as strings to preserve exact values.