# IMDB Reviews Scraper 🎬 (`easyapi/imdb-reviews-scraper`) Actor

🎬 Powerful IMDB review scraper that extracts detailed user reviews, ratings, and engagement metrics from any IMDB title. Perfect for sentiment analysis, market research, and content strategy. Includes author details, helpfulness votes, and full review text.

- **URL**: https://apify.com/easyapi/imdb-reviews-scraper.md
- **Developed by:** [EasyApi](https://apify.com/easyapi) (community)
- **Categories:** Social media, Other
- **Stats:** 79 total users, 1 monthly users, 98.6% runs succeeded, 3 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $4.99 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## IMDB Reviews Scraper 🎬

This actor scrapes detailed user reviews from IMDB movie/TV show pages. It's perfect for sentiment analysis, audience feedback collection, and content research. 🎯

### Features ✨

- 🔍 Scrapes complete user reviews with ratings
- 👤 Captures reviewer details and profile links
- 📊 Includes helpfulness votes data
- 📅 Records submission dates
- 🚀 Handles pagination automatically
- ⚡ Fast and efficient with built-in proxy support
- 🛡️ Uses advanced browser automation to bypass restrictions

### Use Cases 💡

- Content Analysis: Analyze audience reception and sentiment
- Market Research: Understand viewer preferences and trends
- Data Collection: Gather structured review data for ML/AI training
- Competitive Analysis: Track reception of different shows/movies
- Academic Research: Study audience behavior and opinions

### Output Data Structure 📋

The actor outputs detailed review data including:

- Review text and summary
- Author information (nickname, user ID, profile URL)
- Rating score (0-10)
- Submission date
- Helpfulness metrics (upvotes/downvotes)
- Spoiler flags
- Original review URLs

### Input Parameters 🎮

- `reviewPageUrls`: Array of IMDB review page URLs to scrape
- `maxItems`: Maximum number of reviews to collect (optional)
- `proxyConfiguration`: Proxy settings (optional, recommended for large-scale scraping)

### Tips for Optimal Usage 💪

1. Use proxy configuration for better reliability
2. Set reasonable `maxItems` limit based on your needs
3. Respect IMDB's terms of service and rate limits
4. Consider using multiple runs for large datasets

#### Input Example

A full explanation of an input example in JSON.

```json
{
    "reviewPageUrls": [
        "https://www.imdb.com/title/tt11280740/reviews/?ref_=tturv_ql_2"
    ],
    "maxItems": 30
}
```

#### Output sample

The results will be wrapped into a dataset which you can always find in the **Storage** tab. Here's an excerpt from the data you'd get if you apply the input parameters above:

And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML.

```json
[
    {
        "reviewPageUrl": "https://www.imdb.com/title/tt11280740/reviews/?ref_=tturv_ql_2",
        "id": "rw8043079",
        "authorNickName": "doomedmac",
        "authorUserId": "ur111092901",
        "authorUrl": "https://www.imdb.com/user/ur111092901",
        "summary": "This is brilliant",
        "text": "I can't remember the last time I was so invested in a TV show. I was hooked from the first episode, and constantly impressed with the directing, visuals, acting, and plot developments. It's like a cross between Black Mirror and 1984, but it might be better than both of those works of art. This is truly something special and I COULD NOT be more excited for season 2.",
        "authorRating": 9,
        "submissionDate": "2022-04-08",
        "helpfulnessUpVotes": 1147,
        "helpfulnessDownVotes": 125,
        "spoiler": false,
        "reportingLink": "https://contribute.imdb.com/review/tt11280740/rw8043079/report?bus=imdb&return_url=https%3A%2F%2Fwww.imdb.com%2Fclose_me&site=web"
    },
    ...
]
```

### Related Actors

- 🎬 [Netflix Search Scraper](https://apify.com/easyapi/netflix-search-scraper) - Scrape Netflix titles data with detailed information about movies and TV shows
- 🎥 [YouTube Video Data Scraper](https://apify.com/easyapi/youtube-video-data-scraper) - Extract comprehensive metadata from YouTube videos for content analysis
- 💬 [YouTube Comments Scraper](https://apify.com/easyapi/youtube-comments-scraper) - Extract detailed comment data from YouTube videos with pagination support
- 🔍 [Metacritic Search Scraper](https://apify.com/easyapi/metacritic-search-scraper) - Extract detailed information about games, movies, TV shows from Metacritic
- 📊 [Text Sentiment Analysis](https://apify.com/easyapi/text-sentiment-analysis) - Analyze sentiment of text content with detailed breakdown of emotions
- 🎮 [Steam Reviews Scraper](https://apify.com/easyapi/steam-reviews-scraper) - Extract comprehensive review data from Steam games
- 🛍️ [Amazon Reviews Scraper](https://apify.com/easyapi/amazon-reviews-scraper) - Scrape detailed product reviews from Amazon marketplace
- 📱 [App Store Reviews Scraper](https://apify.com/easyapi/app-store-reviews-scraper) - Collect and analyze user reviews from the App Store
- 🎵 [Spotify Reviews Scraper](https://apify.com/easyapi/spotify-reviews-scraper) - Extract user reviews and ratings from Spotify music platform
- 🛍️ [Etsy Reviews Scraper](https://apify.com/easyapi/etsy-reviews-scraper) - Scrape detailed review data from Etsy product listings
- 🏨 [Hotels.com Review Scraper](https://apify.com/easyapi/hotels-com-review-scraper) - Extract detailed hotel reviews and ratings from Hotels.com
- 🏨 [TripAdvisor Reviews Scraper](https://apify.com/easyapi/tripadvisor-reviews-scraper) - Extract comprehensive hotel reviews from TripAdvisor
- 📄 [Article Content Extractor](https://apify.com/easyapi/article-content-extractor) - Extract clean article content and metadata from any web page
- 🎬 [TMDB TV Shows Scraper](https://apify.com/easyapi/tmdb-tv-shows-scraper) - Fetch trending TV shows and series data from The Movie Database
- 🔍 [AI-powered Search](https://apify.com/easyapi/ai-powered-search) - Get structured, AI-powered summaries with references and optimization tips

# Actor input Schema

## `reviewPageUrls` (type: `array`):

List of IMDB review page URLs to scrape (e.g., https://www.imdb.com/title/tt11280740/reviews/)

## `maxItems` (type: `integer`):

Maximum number of reviews to collect

## `proxyConfiguration` (type: `object`):

Proxy settings for the scraper

## Actor input object example

```json
{
  "reviewPageUrls": [
    "https://www.imdb.com/title/tt11280740/reviews/"
  ],
  "maxItems": 10,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "reviewPageUrls": [
        "https://www.imdb.com/title/tt11280740/reviews/"
    ],
    "maxItems": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("easyapi/imdb-reviews-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "reviewPageUrls": ["https://www.imdb.com/title/tt11280740/reviews/"],
    "maxItems": 10,
}

# Run the Actor and wait for it to finish
run = client.actor("easyapi/imdb-reviews-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "reviewPageUrls": [
    "https://www.imdb.com/title/tt11280740/reviews/"
  ],
  "maxItems": 10
}' |
apify call easyapi/imdb-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=easyapi/imdb-reviews-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/dx3ZqtE7oUnZESgWy/builds/KGIzqAMrULaen3pHM/openapi.json