Coverage across a category
From category directories to product attributes — one crawl project for coverage, extraction, and export.
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Problem & Solution
Need every SKU, brand, or listing in a vertical?
Map a product category or vertical: discover the hosts that matter, crawl listing and product pages, and extract attributes into a schema your research team can analyse.
Solution
Vertical coverage, not a handful of sites
Start from category directories or known retailers, discover the host set, and crawl until coverage matches the market you are studying.
Solution
Attributes that land in columns
Extract product names, brands, prices, specs, and category tags against a shared schema so analysts get tidy tables instead of page archives.
How it works
Category research without the scrape farm
1
Define the vertical
Seed category directories, retailers, or brand sites that define the market.
2
Set product fields
Choose the attributes and listing signals you need for the study.
3
Crawl & analyse
Discover hosts, extract structured rows, and export for analysis with the team.
Private & secure
Your data stays yours
Your data is never used to train models or shared with third parties. It lives in an isolated environment dedicated to your account.
Encrypted in transit and at rest
Completely isolated AI processing
Never used to train AI models
FAQs
Is this only for e-commerce?
No. Any vertical with public listings or product-like pages works — industrial catalogues, food types, services directories, and similar research targets.
Can I combine discovery and product extraction?
Yes. Host discovery and schema-based extraction live in the same project workflow so coverage and attributes stay aligned.
How do I keep large categories organised?
Split by region, brand tier, or segment into separate projects — each with its own targets and schema.
Can I export for further analysis?
Yes. Captured fields are research-ready for spreadsheets, notebooks, or your analytics stack.
Research a whole category, not a few pages
Discover hosts across a vertical, extract product and listing fields, and export structured data your research team can use.
