Map and extract every product from any storefront
From category trees to individual SKUs, we capture the complete product catalog — including variants, prices, stock levels, and images — even from dynamic JavaScript sites. Delivered as a clean, structured feed ready for your warehouse, pricing engine, or marketplace integration.
start_url: "https://store.example.com"
crawl_depth: full taxonomy
pagination: auto-detected (infinite scroll)
extraction:
categories: yes
products: all fields + variants
delivery: "s3://your-bucket/catalogs/"
5 levels, 230 categories
48,912 items, 100% coverage
Catalog extraction pipelines running for
Your competitor's entire assortment, in your data warehouse
Product catalog extraction is the systematic capture of every product, category, and variant from an e‑commerce site. Unlike ad‑hoc scraping, it maps the full site taxonomy, follows pagination and infinite scroll, and collects complete product details — producing a structured, machine‑readable catalog that mirrors the source site.
Our pipelines are built to handle the largest catalogs: millions of SKUs, deeply nested categories, heavy JavaScript rendering, and anti‑bot defenses. The result is a single, clean dataset that you can load into your pricing engine, merchandising tool, or data lake — with no manual effort and no gaps.
- Complete category tree with parent‑child relationships
- All product pages, including hidden SKUs and variations
- Handles pagination, infinite scroll, and lazy loading
- Structured output (JSON, CSV, Parquet) with your schema
- Incremental updates to keep the catalog fresh
Why partial scraping falls short for catalog intelligence
When you're missing entire categories or product variants, your competitive picture is incomplete — and your data loses trust.
Category crawl traps
Modern sites use faceted navigation, filters, and JavaScript‑loaded subcategories. A simple link crawler misses the long tail — and may never reach the deepest products.
Variant explosion
A single product can have dozens of size/color combinations, each with its own stock level and price. Without variant‑aware crawling, you capture only the parent product — and 80% of the inventory remains invisible.
Anti‑bot walls on catalog pages
Retailers know that bots browse category pages aggressively. Without a stealth layer, your catalog extraction grinds to a halt on page 3 — leaving thousands of products uncaptured.
Full catalog coverage, from the homepage to the last SKU
Every feature is designed to discover and capture every product — not just what's easy to find.
Intelligent taxonomy discovery
We map the entire category structure by following navigation menus, filters, and internal links — building a complete tree even when categories load dynamically.
Universal pagination & infinite scroll
We auto‑detect pagination styles (numbered, “load more”, infinite scroll) and continue until no new products appear. No hardcoded limits, no missed pages.
Geo‑specific catalog coverage
For international retailers, we deploy local IPs and language headers — ensuring you capture the correct catalog for each market, including region‑exclusive items.
Incremental freshness updates
After the initial full extraction, we run lightweight daily/hoursly updates that detect new products, price changes, and stockouts — keeping your catalog current without re‑crawling everything.
{
"category": "Clothing",
"children": [
{ "name": "Men", "url": ".../men" },
{ "name": "Women", "url": ".../women" }
]
}
From storefront to structured catalog in a few weeks
Site taxonomy analysis
We map the category tree, identify pagination mechanisms, and assess anti‑bot protections — producing a written extraction strategy.
Pipeline build & crawl logic
Our team codes the crawl workflow: category discovery, product page traversal, variant handling, and data extraction — all against a staging sample.
Full extraction & delivery
We run the full catalog crawl, delivering the complete dataset to your warehouse. You review coverage, accuracy, and schema conformance.
Scheduled incremental updates
We switch to a refresh schedule — new products, price changes, and stock updates land automatically. The catalog stays current without manual intervention.
Deliverables for every catalog extraction project
Taxonomy map & crawl strategy
A document detailing the site's category structure, pagination rules, and anti‑bot countermeasures — signed off before extraction begins.
Sample catalog (5,000 products)
A representative subset of the full catalog, including all categories and product details, delivered in your target schema for validation.
Complete catalog delivery
All products, variants, and images extracted and loaded into your warehouse. A runbook details the crawl parameters and update mechanisms.
Weekly catalog health report
Summary of new products discovered, price/stock changes captured, and any site‑structure modifications handled — proactively shared.
Flexible options for every catalog size and update cadence
One‑Time Full Extraction
For a complete snapshot of a competitor's catalog — ideal for market analysis or a baseline dataset.
- Fixed price per catalog
- Single delivery of all products
- Complete taxonomy & variants
Managed Catalog Feed
Ongoing extraction with scheduled full or incremental updates — we handle maintenance and freshness.
- Weekly or daily catalog refreshes
- Incremental change detection
- Full maintenance & anti‑bot included
Enterprise Catalog Program
For multiple retailers, large catalogs, and dedicated engineering support with custom SLAs.
- Unlimited catalogs & domains
- Dedicated crawl infrastructure
- Custom SLA, SSO, quarterly reviews
E‑commerce teams that demand complete market visibility
Assortment Analytics
Map your competitor's full product mix — identify gaps, overlaps, and trends across categories.
Marketplace Onboarding
Populate your marketplace with product data from supplier sites — automatically and at scale.
Dynamic Pricing
Base your repricing on the full catalog, not just a sample — capture every SKU and every price point.
Brand & MAP Monitoring
Track your entire product line across every retailer that carries it — with 100% catalog coverage.
Full catalog extraction vs. partial or DIY methods
| Capability | Managed Catalog Extraction | Self‑Serve Scraping API | In‑House Crawler |
|---|---|---|---|
| Complete taxonomy discovery | |||
| Variant‑level extraction | |||
| Infinite scroll & lazy loading | |||
| Incremental updates | |||
| Anti‑bot bypass included | |||
| Time to complete catalog | < 48 hours (50K SKUs) | Weeks of manual scripting | Months |
“We finally have a complete picture of our competitor's assortment”
"We spent months trying to crawl a retailer with infinite scroll and dynamic filters — we never got past page 10. ScraperScoop delivered the full 72,000‑product catalog in two days, with every variant. It's transformed our category planning."
"The taxonomy map alone was worth the investment. We discovered entire subcategories we didn't know existed — now we track them monthly and adjust our own assortment accordingly."
"The incremental update feature means we never run a full crawl again. Every morning we get a file of new products, price changes, and delistings — our catalog is always current, with zero effort on our side."
Full catalogs delivered to your existing infrastructure
Schema‑matched, ready to load — no manual formatting, no CSV wrangling.
Get a fixed‑price quote for your catalog extraction
Share the target store URL and the fields you need — we'll provide a scope, price, and timeline within two business days.
Questions about catalog extraction
Your competitor's full catalog — delivered as a ready‑to‑query dataset
Tell us which retailer you need to extract and we'll send a sample of the catalog within 48 hours. No commitment, no sales call — just proof that complete extraction is possible.
Most catalog pipelines deliver the full dataset within 2–3 weeks of kickoff.
