# IMDb  Reviews Scraper (`coder_zoro/imdb-reviews-scraper`) Actor

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.

- **URL**: https://apify.com/coder_zoro/imdb-reviews-scraper.md
- **Developed by:** [Zoro](https://apify.com/coder_zoro) (community)
- **Categories:** Automation
- **Features:** Limited permissions
- **Stats:** 140 total users, 0 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $2.99 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

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.

# Actor input Schema

## `keyword_1` (type: `string`):

Enter the IMDb movie or series ID (e.g., tt13655456).

## `keyword_2` (type: `integer`):

Enter the maximum number of reviews to fetch for this title.

## Actor input object example

```json
{
  "keyword_1": "tt13655456",
  "keyword_2": 20
}
```

# 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 = {
    "keyword_1": "tt13655456",
    "keyword_2": 20
};

// Run the Actor and wait for it to finish
const run = await client.actor("coder_zoro/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 = {
    "keyword_1": "tt13655456",
    "keyword_2": 20,
}

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

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

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

```

## CLI example

```bash
echo '{
  "keyword_1": "tt13655456",
  "keyword_2": 20
}' |
apify call coder_zoro/imdb-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,coder_zoro/imdb-reviews-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/oHgfaDJtNz5vpaHn6/builds/LleuxxBW9GohmFEE4/openapi.json