# Netflix Catalog Scraper – Titles, Genres & Ratings Data (`oneary/netflix-catalog-scraper`) Actor

Extract Netflix, Hulu, and Disney+ streaming catalog data including titles, genres, IMDb ratings, descriptions, release years, and regional availability. Perfect for content research and competitive analysis.

- **URL**: https://apify.com/oneary/netflix-catalog-scraper.md
- **Developed by:** [Luan M.](https://apify.com/oneary) (community)
- **Categories:** Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$0.70 / 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.

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

## Netflix & Streaming Catalog Explorer

Discover and extract Netflix, Hulu, Disney+ catalog data including titles, genres, ratings, descriptions, and availability by region.

### Features

- Extract structured data from target websites
- Configurable scraping depth and limits
- Built-in proxy rotation via Apify Proxy
- Cookie consent handling
- Automatic retry logic for failed requests
- Clean JSON output format
- Error logging for failed pages

### Input Parameters

| Field | Type | Description |
|-------|------|-------------|
| Search Title or Genre | string | Search for movies, shows, or genres |
| Streaming Service | string | Which streaming service to search |
| Max Results | integer | Maximum titles to extract |
| Proxy Configuration | object | Proxy settings for the scraper |

### Output Format

Each result contains:

- `url` -- Page URL
- `title` -- Page title
- `description` -- Meta description
- `h1` -- Array of H1 headings found
- `textContent` -- Extracted main content (up to 5000 chars)
- `scrapedAt` -- ISO timestamp of when data was scraped

### Use Cases

- Market research and competitive analysis
- Content aggregation and monitoring
- Data-driven decision making
- Lead generation and prospecting

### Keywords

netflix, streaming, movie, TV show, catalog, streaming service, what to watch, entertainment

### Pricing

Pay per result. Contact for volume pricing.

### Support

For issues or feature requests, please open an issue on GitHub.

# Actor input Schema

## `searchQuery` (type: `string`):

Search for movies, shows, or genres

## `service` (type: `string`):

Which streaming service to search

## `maxResults` (type: `integer`):

Maximum titles to extract

## `startUrls` (type: `array`):

URLs to start scraping from

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

Proxy settings for the scraper

## Actor input object example

```json
{
  "searchQuery": "sci-fi",
  "maxResults": 50,
  "startUrls": [
    {
      "url": "https://example.com"
    }
  ],
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# 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 = {
    "searchQuery": "sci-fi",
    "startUrls": [
        {
            "url": "https://example.com"
        }
    ],
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("oneary/netflix-catalog-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 = {
    "searchQuery": "sci-fi",
    "startUrls": [{ "url": "https://example.com" }],
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("oneary/netflix-catalog-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 '{
  "searchQuery": "sci-fi",
  "startUrls": [
    {
      "url": "https://example.com"
    }
  ],
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call oneary/netflix-catalog-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/1KHoJSRB7RAzYNdhG/builds/9IGVwgUIXc85b5yPj/openapi.json