Andertons Music Gear Catalog Price Scraper

Overview

The Andertons Music Gear Catalog Price Scraper extracts the full product catalog from Andertons Music Co (andertons.co.uk) — the UK's leading music equipment retailer. It collects product names, brand, department, category, current price, RRP/was-price, stock status, customer ratings, review counts, images, and key specification bullets across all 26,000+ products in their inventory.

This is the only Apify actor dedicated to Andertons and complements Thomann (DE) and Reverb (used) for a complete multi-retailer music instrument pricing dataset.

Features

• Full catalog coverage: Crawls all three product sitemaps (~26,000 SKUs across guitar, drums, keys, studio, live sound, and accessories)
• Structured data extraction: Pulls fields from embedded BigCommerce JSON (BODL, BCData) and JSON-LD Product schema — no fragile CSS selectors
• RRP / was-price: Captures retail price alongside current selling price when a discount is active
• Spec bullets: Extracts key feature bullet points from product descriptions
• Rate-limit aware: Respects robots.txt crawl-delay with automatic rate-limit handling
• maxItems control: Set any cap to retrieve a sample or the full catalog

Use Cases

• UK music gear pricing intelligence and competitor price monitoring
• Multi-retailer instrument price comparison (Andertons + Thomann + Reverb)
• Stock availability tracking across brands and departments
• Brand and category catalog analysis
• Price history tracking when run on a schedule

How It Works

1. Sitemap discovery: Fetches the three paginated product sitemaps (xmlsitemap.php?type=products&page=1..3) to collect all product URLs
2. Product crawl: Visits each product page and extracts data from embedded window.BODL (price/breadcrumbs), window.BCData (stock status), and JSON-LD Product schema (brand, rating, image, spec bullets)
3. Output: Saves records to the default Apify dataset

Input

Field	Type	Description	Default
maxItems	integer	Maximum number of products to scrape (0 = no limit, scrapes all ~26k)	10

Output

Each record in the dataset contains:

Field	Type	Description
product_name	string	Full product name
brand	string	Manufacturer / brand name
department	string	Top-level department (e.g. Guitar Dept, Drums Dept)
category	string	Category within department (e.g. Electric Guitars, Acoustic Drums)
price_gbp	number	Current selling price in GBP (inc. VAT)
was_price_gbp	number	Original / RRP price when a discount is active
in_stock	boolean	Whether the product is currently in stock
rating	number	Average customer rating (0–5 scale)
review_count	integer	Number of customer reviews
product_url	string	Canonical product page URL
image_url	string	Primary product image URL
spec_bullets	string	Pipe-separated key specification bullets from the description
scraped_at	string	ISO 8601 timestamp of when the record was scraped

Example Output

{
  "product_name": "ESP LTD Vulture James Hetfield Signature Electric Guitar in Olympic White",
  "brand": "ESP",
  "department": "Guitar Dept",
  "category": "Electric Guitars",
  "price_gbp": 1699,
  "was_price_gbp": null,
  "in_stock": true,
  "rating": null,
  "review_count": null,
  "product_url": "https://www.andertons.co.uk/esp-ltd-vulture-james-hetfield-signature-electric-guitar-olympic-white/",
  "image_url": "https://cdn11.bigcommerce.com/s-4hc0jwsnnq/images/stencil/1280x1280/products/9929/31398/...",
  "spec_bullets": "3-Piece Mahogany Neck — Layered neck construction | Thin \"U\" Neck Profile — suited for contemporary players | Macassar Ebony Fingerboard | EMG \"Het Set\" Pickups | Locking Tuners",
  "scraped_at": "2026-05-27T10:03:51.000Z"
}

Notes

• The site has a crawl-delay of 10 seconds in robots.txt; the actor's rate-limit handling respects this
• Products in the /browse/brands/ subtree will show the brand name as their department — this reflects the site's own taxonomy
• was_price_gbp is only populated when Andertons explicitly lists a retail price alongside the sale price
• A full catalog run (~26k products) may take several hours depending on Apify instance count