Turn any e‑commerce site into a structured product feed
Extract product titles, prices, variants, images, stock levels, and reviews — from any retailer, marketplace, or brand store. Our pipelines handle dynamic JavaScript, geo‑specific catalogs, and anti‑bot walls, delivering clean, schema‑matched data straight to your warehouse or pricing engine.
{
"sku": "NB-574-CLR",
"title": "Classic 574 Sneakers",
"price": 89.99,
"currency": "USD",
"variants": [
{ "size": "9", "color": "Grey", "stock": 12 }
],
"images": ["https://cdn.example.com/img1.jpg"]
}
12,340 records
4,200 combinations
Product pipelines running for
Your competitor's catalog, available as a clean data feed
Product data scraping extracts every meaningful product attribute from any e‑commerce site — titles, descriptions, prices, variants, stock status, images, and reviews — and structures them into a flat file, database table, or streaming feed. It's the foundation of competitive pricing intelligence, assortment analysis, and marketplace automation.
Our team designs extraction logic that handles the quirks of real product pages: dynamic pricing that changes per user, variant selectors that load via JavaScript, images behind CDN‑caching, and geo‑specific catalogs. The result is a complete, accurate product feed that plugs directly into your existing tools.
- Full product attributes — SKU, title, price, description, images
- Variant extraction — size, color, material with per‑variant price/stock
- Stock & availability monitoring with configurable refresh frequency
- Review & rating extraction from any e‑commerce platform
- Delivered as JSON, CSV, or directly into your data warehouse
Why internal product scraping projects stall
These are the friction points that turn a simple catalog extraction into an endless engineering project.
Variant handling breaks most scrapers
Many product pages load size/color options dynamically. Unless your pipeline interacts with the DOM like a real user, you'll miss 80% of the inventory.
Pricing varies by geography and user profile
A logged‑in member sees different prices than a guest. A US IP sees different prices than a German IP. Generic scrapers capture the wrong price, or miss it entirely.
Anti‑bot systems target catalog scrapers
E‑commerce sites actively block scraping of product pages. Without fingerprint rotation, proxy pools, and behavioural mimicry, your scraper gets banned before the first category is complete.
A product extraction pipeline built for retail
Every feature is designed around the real structure of e‑commerce pages — not generic scraping templates.
Variant‑aware extraction
We programmatically select every size, color, and style combination, capturing the exact SKU, price, and stock for each. No manual work, no missed variations.
Geo‑specific pricing & catalog
Deploy local residential IPs, native language headers, and region‑specific login sessions to capture exactly what a local shopper sees.
Image & media collection
Download full‑resolution product images, thumbnails, and 360‑view assets. Map them to SKUs and deliver alongside the structured data or to a separate bucket.
Review & rating scraping
Extract customer reviews, star ratings, review dates, and reviewer metadata — all mapped to the parent product SKU and delivered as a separate feed.
{
"parent_sku": "SHOE-574",
"variants": [
{ "size": "8", "color": "Blue", "stock": 5 },
{ "size": "9", "color": "Blue", "stock": 0 }
]
}
From e‑commerce site to clean product feed
Catalog structure mapping
We reverse‑engineer the target site's product taxonomy, variant loading logic, and anti‑bot measures — producing a written extraction plan.
Pipeline build & variant logic
Our engineers code the interactions: category crawl, product page navigation, variant selection, and extraction of every target field.
Sample feed delivery
A representative product feed (500–2,000 products) is delivered for your inspection — validated against your schema and completeness criteria.
Full production deployment
All categories go live on your chosen schedule. Data lands in your warehouse, partitioned by date and market. Ongoing maintenance is included.
Deliverables at each stage of a product data project
Catalog mapping document
A detailed map of the target's product structure, variant mechanics, pagination rules, and extraction logic — approved by your team before development.
Sample product feed
500–2,000 products extracted, including all variants, delivered in your agreed schema. You validate accuracy and completeness.
Full‑scale pipeline + runbook
All categories, all variants, all images — live on your schedule. A runbook covers refresh cadence, alert thresholds, and anti‑bot layer settings.
Weekly data quality report
Weekly summary of field completeness, variant capture rate, and any target‑site changes handled — with proactive recommendations.
Choose how you want your product feed built and maintained
One‑Time Catalog Extraction
Best for a one‑off full‑catalog dump — ideal for market research, migration, or a baseline dataset.
- Fixed scope & price
- Single delivery of all products
- Includes variants & images
Managed Product Feed
Ongoing extraction with scheduled refreshes, variant monitoring, and full maintenance — hands‑off for your team.
- Hourly, daily, or weekly updates
- 99.8% field accuracy SLA
- Maintenance & anti‑bot included
Enterprise Product Intelligence
For multiple retailers, global markets, and custom SLAs — a dedicated product data program.
- Unlimited retailers & domains
- Custom SLA, dedicated support
- SSO, audit logs, quarterly reviews
E‑commerce teams that run on accurate product data
Competitive Pricing
Track prices, discounts, and promotions across every retailer — update your own prices in real time.
Assortment & Merchandising
Analyse competitor catalogs, spot product gaps, and monitor new product launches the day they go live.
Marketplace Automation
Pull seller listings from Amazon, eBay, and regional marketplaces — feed directly into your repricing tool.
Brand Analytics
Monitor your own products across retailers — check buy‑box ownership, MAP compliance, and stock‑outs.
Product data scraping vs. generic alternatives
| Capability | Managed Product Data Scraping | Generic Web Scraping API | In‑House Scripts |
|---|---|---|---|
| Variant & option extraction | |||
| Geo‑specific pricing | |||
| Image downloading & mapping | |||
| Review aggregation | |||
| Ongoing maintenance | Included | Your team | Your team |
| Time to production | 2–3 weeks | Hours (no variants) | Months |
“Our pricing engine now runs on live competitor data, not stale CSV dumps”
"We needed hourly price updates from 15 retailers, including variant‑level stock. ScraperScoop built a pipeline that handles every color and size combination — and delivers it straight into Snowflake. Our repricer has never been faster."
"The geo‑specific pricing was the game‑changer. We now see exactly what a customer in France pays vs. one in the US — with currency, tax, and shipping differences captured automatically."
"We'd been manually checking stock levels on 200 products every morning. Now the pipeline flags out‑of‑stock variants before our team even logs on. It's saved us hours every week."
Product data lands exactly where your team works
Feed your pricing engine, BI tool, or marketplace repricer directly — no manual imports.
Get a scoped quote for your product data pipeline
Tell us the retailer, the fields you need, and the refresh frequency — we'll come back with a price and timeline within two business days.
Common questions about product data scraping
Ready to see your competitor's catalog as a structured feed?
Send us a retailer URL and the fields you need — we'll return a sample product feed within two business days. No commitment, no sales pitch.
Most product pipelines go from scoping to production in 2–3 weeks.
