Wickes UK Product Scraper (Unofficial)

Scrape Wickes UK products, categories, filters, and product details with normalized output for price monitoring, product research, market research, availability, offers, and retail workflows.

This is an unofficial actor and is not affiliated with Wickes.

Proxy behavior

Wickes currently works with direct HTTP, so normal runs do not need paid proxy traffic or a browser. A UK proxy should only be introduced if the storefront starts blocking cloud runs.

Ready-to-use tasks

• Paint product search — collect prices, promotions, ratings, reviews, images, and product URLs for a reliable broad query.
• Paint category products — monitor one live Wickes category with normalized product rows.
• Product details — enrich a known product ID with brand, stock status, description, breadcrumbs, rating, and review count.
• Search filters — discover current delivery, colour, brand, price, and other live filter groups.

Supported operations

• probe
• categories
• search_filters
• search
• category
• item

Operation guide

The Apify Console form shows the union of all supported fields, so the visible inputs do not change when you switch operation. Use the guide below to know which fields are required.

• probe Required: none Optional: includeRaw

• categories Required: none Optional: query, page, limit, includeRaw

• search_filters Required: none Optional: query, categoryId, categorySlug, categoryUrl, includeRaw

• search Required: query Optional: page, limit, sort, filter, includeRaw

• category Required: categoryId or categorySlug or categoryUrl Optional: page, limit, sort, filter, includeRaw

• item Required: productId or productSlug or productUrl Optional: includeRaw

Example inputs

These starter examples were validated locally against the live site.

{
  "operation": "categories",
  "includeRaw": false
}

{
  "operation": "search",
  "query": "paint",
  "page": 1,
  "limit": 10,
  "sort": "relevance",
  "includeRaw": false
}

{
  "operation": "category",
  "categoryId": "1001115",
  "page": 1,
  "limit": 10,
  "sort": "relevance",
  "includeRaw": false
}

{
  "operation": "item",
  "productId": "310077",
  "includeRaw": false
}

{
  "operation": "search_filters",
  "query": "paint",
  "includeRaw": false
}

{
  "operation": "probe",
  "includeRaw": false
}

Output

• Dataset: normalized products, categories, or structured filter rows depending on the operation
• Key-value store OUTPUT: run summary with source, operation, success, total, errors, proxy, and monetization

Limitations

• Review summary available on product detail, but individual review rows not extracted
• Category taxonomy is from sitemap (1000+ categories), not a full deep browse tree export
• Filters are repeatable facet tokens from the live site structure