# Book page URL to JSON (example)

**Use case:** 

Paste book page links and get clean, structured JSON back: title, price, currency, stock status and star rating. spruce_the_data downloads each page and matches your own schema, so there's no scraper to set up. Swap in your own product URLs and fields.

## Input

```json
{
  "texts": [
    "<h1> Stellar Gooseneck Kettle 1.0L </h1><span class=\"price\">$49.99</span> In stock"
  ],
  "urls": [
    "https://books.toscrape.com/catalogue/a-light-in-the-attic_1000/index.html",
    "https://books.toscrape.com/catalogue/tipping-the-velvet_999/index.html"
  ],
  "textField": "text",
  "outputSchema": {
    "type": "object",
    "properties": {
      "title": {
        "type": "string"
      },
      "price": {
        "type": [
          "number",
          "null"
        ]
      },
      "currency": {
        "type": [
          "string",
          "null"
        ],
        "description": "ISO 4217 code, e.g. GBP"
      },
      "in_stock": {
        "type": [
          "boolean",
          "null"
        ]
      },
      "rating": {
        "type": [
          "integer",
          "null"
        ],
        "description": "Star rating from 1 to 5"
      }
    },
    "required": [
      "title",
      "price",
      "currency",
      "in_stock",
      "rating"
    ]
  },
  "maxItems": 1000
}
```

## Output

```json
{
  "index": {
    "label": "Index",
    "format": "integer"
  },
  "url": {
    "label": "URL",
    "format": "string"
  },
  "status": {
    "label": "Status",
    "format": "string"
  },
  "data": {
    "label": "Data",
    "format": "object"
  },
  "droppedFields": {
    "label": "Dropped fields",
    "format": "array"
  },
  "error": {
    "label": "Error",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The spruce_the_data: messy HTML and text to clean JSON Actor is ready to run with the inputs already set for "Book page URL to JSON (example)". [Sign up or log in](https://console.apify.com/create-task-from-example/fxSu5T4mVkUQuEfUp) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Book page URL to JSON (example)" task

The spruce_the_data: messy HTML and text to clean JSON Actor will start running based on the input automatically. You can also change all the input fields, like texts to clean, web page urls, and more, to match your specific use case.

### 3. Receive the "Book page URL to JSON (example)" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as index, URL, status, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Book page URL to JSON (example)" task via API](https://apify.com/sprucethedata/clean-json.md).

## About this Actor

This example demonstrates how to use [spruce_the_data: messy HTML and text to clean JSON](https://apify.com/sprucethedata/clean-json.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/sprucethedata/clean-json.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/sprucethedata/clean-json.md

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`).