IMDb Reviews Scraper — User Reviews to Dataset

Scrape IMDb user reviews for any title — full text, author rating, date and helpful votes as clean rows for sentiment analysis. CSV/JSON.

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IMDb Scraper — Ratings, Cast, Box Office, Awards & Top 250
IMDb Scraper — Ratings, Cast, Box Office, Awards & Top 250sian.agency/imdb-scraper
Op
Status
Title ID
Title
+60 fields
Text
Number
Boolean
List
Object

Input

🎬 Operation:titleReviews
🎬 Title ID or URL:tt0068646

Output fields

Op
Status
Title ID
Title
Original title
Type ID
Type
Year
Release date
Rank
Chart
Rating
Votes
Metacritic
Certificate
Cert. reason
Runtime (min)
Runtime (sec)
Genres
Plot
Reviews
Watchlist
Production status
Poster
URL
Countries
Languages
Official links
AKAs
Alt versions
Filming locations
Billed cast
Top cast
Cast credits
Budget
Budget currency
Opening weekend
Opening date
Domestic gross
Worldwide gross
Wins
Nominations
Top award
Top-award wins
Top-award noms
Ranking label
Review ID
Review summary
Review text
Author
Author ID
Author rating
Helpful up
Helpful down
Helpfulness
Review date
Spoiler?
Review language
Review URL
Source input
Lang/country
Processed at
Scraping date
Error

How it works

Sign up on Apify01

Create your Apify account to access the IMDb Scraper — Ratings, Cast, Box Office, Awards & Top 250.

Start the run02

The Actor will start running based on the input automatically.

Receive the output03

Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.

Integrate into your workflow04

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.

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