# SteelBook Blu-ray Scraper (`lulzasaur/steelbookbluray-scraper`) Actor

Scrape steelbook collectible releases from SteelBookBluRay.com. Get titles, categories, formats (4K/Blu-ray), regions, images, and retailer links. Search or browse all releases.

- **URL**: https://apify.com/lulzasaur/steelbookbluray-scraper.md
- **Developed by:** [lulz bot](https://apify.com/lulzasaur) (community)
- **Categories:** E-commerce
- **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $10.00 / 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

## SteelBook Blu-ray Scraper

Scrape collectible steelbook releases from [SteelBookBluRay.com](https://www.steelbookbluray.com/) — the leading steelbook news and database site.

### What does this scraper do?

This scraper extracts steelbook release listings from SteelBookBluRay.com, a WordPress-based site covering collectible steelbook packaging for 4K Ultra HD and Blu-ray discs.

For each release, you get:

- **Title** and publication date
- **Categories** (4K Ultra HD, Blu-ray, Arrow, Horror, Sci-Fi, etc.)
- **Format** detection (4K Ultra HD or Blu-ray)
- **Region** detection (UK or US releases)
- **Studio** detection (Arrow, Disney, Warner, etc.)
- **Cover image** (full resolution)
- **Excerpt** from the listing page

With detail scraping enabled, you also get:

- **Full post content** (descriptions, specs, extra features)
- **All images** from the post (front/back covers, interior shots)
- **Retailer links** (Zavvi, Amazon, HMV, Best Buy, etc.)
- **Community rating** and vote count

### Input

| Field | Type | Default | Description |
|-------|------|---------|-------------|
| `searchQueries` | string\[] | `["marvel"]` | Search terms. Leave empty to browse all recent releases. |
| `maxListings` | integer | `50` | Maximum number of listings to return (max 1000). |
| `scrapeDetails` | boolean | `false` | Visit individual post pages for full content and retailer links. |
| `category` | string | `""` | Filter by category: `4k-ultra-hd`, `blu-ray`, `arrow`, `horror`, `sci-fi`, `uk-releases`, `us-releases`. |
| `proxyConfiguration` | object | — | Optional proxy settings. |

### Output

Each result contains:

```json
{
    "postId": "26181",
    "title": "Marvel's \"The Fantastic Four: First Steps\" is getting a great looking UK 4K Steelbook release in October",
    "categories": ["4k-ultra-hd", "action", "marvel", "sci-fi", "uk-releases"],
    "format": "4K Ultra HD",
    "region": "UK",
    "studio": null,
    "publishedDate": "2025-09-22 23:58:47",
    "author": "steelbook admin",
    "excerpt": "While the film wasn't the box office hit that Marvel no doubt hoped it would be...",
    "imageUrl": "https://www.steelbookbluray.com/wp-content/uploads/2025/09/ff_1.jpg",
    "images": ["https://www.steelbookbluray.com/wp-content/uploads/2025/09/ff_1.jpg"],
    "commentsCount": 0,
    "content": null,
    "retailerLinks": [],
    "rating": null,
    "ratingVotes": null,
    "sourceUrl": "https://www.steelbookbluray.com/marvels-the-fantastic-four-first-steps-is-getting-a-great-looking-uk-4k-steelbook-release-in-october/",
    "scrapedAt": "2026-04-26T00:00:00.000Z"
}
```

When `scrapeDetails` is enabled, `content`, `retailerLinks`, `rating`, `ratingVotes`, and `images` are populated from the detail page.

### Use cases

- **Collectors**: Track new steelbook releases by format, region, or genre
- **Resellers**: Monitor upcoming releases for pre-order opportunities
- **Price trackers**: Build a database of steelbook releases with retailer links
- **Data analysis**: Analyze release trends across studios, formats, and regions

### Tips

- Start with `scrapeDetails: false` for fast listing scrapes
- Use `category: "4k-ultra-hd"` to filter to 4K releases only
- Enable `scrapeDetails: true` to get retailer pre-order links and full descriptions
- The site has ~10 releases per page, so `maxListings: 100` scrapes ~10 pages

# Actor input Schema

## `searchQueries` (type: `array`):

Search terms to find steelbook releases (e.g. 'marvel', 'nolan', 'arrow'). Leave empty to browse all recent releases.

## `maxListings` (type: `integer`):

Maximum number of steelbook listings to return.

## `scrapeDetails` (type: `boolean`):

Visit individual post pages for full content, additional images, and retailer links. Slower but more data.

## `category` (type: `string`):

Filter results to a specific category. Only applies when browsing (no search queries).

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

Optional proxy to use.

## Actor input object example

```json
{
  "searchQueries": [
    "marvel"
  ],
  "maxListings": 50,
  "scrapeDetails": false,
  "category": ""
}
```

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("lulzasaur/steelbookbluray-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("lulzasaur/steelbookbluray-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 '{}' |
apify call lulzasaur/steelbookbluray-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/xcjh5LFHI29oIVbv1/builds/e0a5XZkOWRhpMdxcc/openapi.json