Apple Books Scraper

Overview

This actor scrapes data from Apple Books (formerly iBooks). It can search for books, audiobooks, and series, and extract detailed information, reviews, and related content.

Key Features

• Search: Find books, audiobooks, and book series by keyword.
• Scrape Details: Extract comprehensive data for any book or audiobook via its ID or URL.
• Get Reviews: Scrape user reviews for books and audiobooks.
• Author Data: Retrieve books by the same author.
• Related Content: Find related books, series, and audiobooks.

How to Use

Configure the actor using input parameters. The query field is flexible and accepts keywords, URLs, or structured commands using Apple Query Language (AQL).

Basic Input Parameters

Usage Examples

Simple Search:

{
  "query": ["python programming"],
  "limit": 20
}

Scrape a Specific Book by URL:

{
  "query": ["https://books.apple.com/us/book/pride-and-prejudice/id395534643"]
}

Advanced Usage with AQL

The actor supports a structured query syntax for precise targeting.

General Format:
[COMMAND:] [TARGET] [/SECTION]

Search Commands:
* book:keywords – Search for e-books.
* audio:keywords – Search for audiobooks.
* series:keywords – Search for book series.

Data Scraping Commands:
Use an ID (found in URLs) with a section specifier.
* book:1037193578/info – Get book details (default if no section is specified).
* book:1037193578/reviews – Get book reviews.
* book:1037193578/author-books – Get other books by the same author.
* book:1037193578/related – Get related books.
* audio:1442174040/info – Get audiobook details.
* series:123456/info – Get series information.

Input/Output

Input: Accepts an array of query strings (keywords, URLs, or AQL commands) and an optional result limit.

Output: The actor outputs an array of items to the dataset. Each item's structure depends on the query type but typically includes details like title, author, description, rating, price, review text, and URLs. The exact schema is available in the actor's documentation on Apify.