# Andertons Music Gear Catalog Price Scraper (`jungle_synthesizer/andertons-music-gear-catalog-price-scraper`) Actor Scrape the full Andertons Music Co product catalog — names, brands, prices, RRP, stock status, ratings, and spec bullets — from 26k+ UK music gear listings across guitar, drums, keys, studio, and live departments. - **URL**: https://apify.com/jungle\_synthesizer/andertons-music-gear-catalog-price-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use 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 ## 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 ```json { "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 # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `maxItems` (type: `integer`): Maximum number of products to scrape. Leave empty or set 0 for all (~26k). ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10 } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/andertons-music-gear-catalog-price-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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/andertons-music-gear-catalog-price-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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10 }' | apify call jungle_synthesizer/andertons-music-gear-catalog-price-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/andertons-music-gear-catalog-price-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Andertons Music Gear Catalog Price Scraper", "description": "Scrape the full Andertons Music Co product catalog — names, brands, prices, RRP, stock status, ratings, and spec bullets — from 26k+ UK music gear listings across guitar, drums, keys, studio, and live departments.", "version": "0.1", "x-build-id": "Rqqwrjqjkhbzlbb4W" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~andertons-music-gear-catalog-price-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-andertons-music-gear-catalog-price-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jungle_synthesizer~andertons-music-gear-catalog-price-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-andertons-music-gear-catalog-price-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jungle_synthesizer~andertons-music-gear-catalog-price-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-andertons-music-gear-catalog-price-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "maxItems" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of products to scrape. Leave empty or set 0 for all (~26k).", "default": 10 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```