IMDb Reviews Scraper
by coder_zoro
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 ...
Opens on Apify.com
About IMDb Reviews Scraper
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.
What does this actor do?
IMDb Reviews Scraper is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.
Key Features
- Cloud-based execution - no local setup required
- Scalable infrastructure for large-scale operations
- API access for integration with your applications
- Built-in proxy rotation and anti-blocking measures
- Scheduled runs and webhooks for automation
How to Use
- Click "Try This Actor" to open it on Apify
- Create a free Apify account if you don't have one
- Configure the input parameters as needed
- Run the actor and download your results
Documentation
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: json [ { "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.
Categories
Common Use Cases
Market Research
Gather competitive intelligence and market data
Lead Generation
Extract contact information for sales outreach
Price Monitoring
Track competitor pricing and product changes
Content Aggregation
Collect and organize content from multiple sources
Ready to Get Started?
Try IMDb Reviews Scraper now on Apify. Free tier available with no credit card required.
Start Free TrialActor Information
- Developer
- coder_zoro
- Pricing
- Paid
- Total Runs
- 778
- Active Users
- 72
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