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Catalogue Scraper

Extract products from any website into your file space

Catalogue Scraper turns any e-commerce website into a structured product database in minutes. Point it at a homepage or catalogue URL and it discovers every product page, extracts the data, and saves a file for each item to your file space.

It works on any site structure — no custom integration required. The tool uses AI-powered extraction to find products even when they're buried in nested navigation or dynamically loaded pages. Each product file includes images, pricing, categories, and variants.

What you can do

  • scrape_catalogue — crawl any public e-commerce site and extract all products into your file space, with images, pricing, categories, and variants

Who it's for

Retailers, brand managers, and agencies who need to audit competitor catalogues, migrate product data, or build databases without writing a custom scraper. Also useful for anyone building a price-comparison workflow or doing market research.

How to use it

  1. Use scrape_catalogue and pass the website's homepage or catalogue page URL
  2. Optionally set max_products to limit scope during testing, or pass include_paths to focus on specific URL patterns
  3. When the job completes, the response includes a products_url — click it to browse your extracted catalogue, grouped by category
Scrape Product Catalogue

Discover and extract all products from any e-commerce website. Identifies product pages, extracts structured data, generates spec sheets, and saves each product to your file space. Runs asynchronously — returns a job_id, poll with get_job_result.

Returns: Product files saved to your file space with structured metadata, plus a category-grouped catalogue summary
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v0.012026-04-03
  • Initial release: scrape any website to discover and catalogue all products with images, pricing, categories, and variants

Connect ToolRouter to use Catalogue Scraper in Claude, ChatGPT, Copilot, and more — no code required.

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What you can do with Catalogue Scraper

Extract a Competitor's Product Catalogue

Pull structured product data from a competitor's catalogue — names, prices, descriptions, and images — for competitive analysis.

  1. Provide the competitor's catalogue URL and specify the categories or product types you want to focus on.
  2. Ask Claude to use `catalogue-scraper` with `scrape_catalogue` to extract the product data.
  3. Ask Claude to analyze the extracted data for pricing patterns, product positioning, and category structure.
  4. Follow up with specific comparison questions against your own product range.

Build a Product Database from Multiple Suppliers

Extract product data from multiple supplier catalogues and consolidate it into a single normalized database.

  1. List the supplier catalogue URLs and your target product schema.
  2. Ask Claude to use `catalogue-scraper` with `scrape_catalogue` on each supplier URL.
  3. Ask Claude to compare the data structures across suppliers and identify normalization issues — conflicting category names, different price formats, missing fields.
  4. Have Claude produce a normalized merged dataset using your target schema.

Monitor Product Price Changes

Track price changes across a product catalogue over time and alert when prices drop, increase, or products go out of stock.

  1. Provide the catalogue URL and a previous price snapshot to compare against (or ask Claude to extract the current prices as a new baseline).
  2. Ask Claude to use `catalogue-scraper` with `scrape_catalogue` to extract current prices.
  3. Ask Claude to compare the new prices against the previous snapshot and list every change.
  4. Ask Claude to interpret the pattern — targeted repricing, across-the-board adjustment, or clearance pricing.
Browse all 6 Catalogue Scraperguides →

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