Dynamic pricing intelligence
Daily competitor price tracking across SKUs, retailers, and marketplaces. Feed pricing engines with real-time data instead of weekly manual spot-checks.
Ecommerce Data Scraping
Pricing, catalog, and marketplace intelligence — for teams that compete on data.
Custom ecommerce scrapers across Amazon, Walmart, Shopify, eBay, and long-tail retailers. Daily pricing, BuyBox tracking, MAP monitoring, catalog coverage, and review intelligence — AI-cleaned and delivered into your warehouse, BI, or pricing engine.
Marketplaces covered
40+
Records per day
1M+
Refresh cadence
Hourly
Starting from
$100
Use cases
What ecommerce teams use this for.
MAP & reseller monitoring
Flag MAP violations across authorized and unauthorized resellers. Alert on every threshold breach with seller, retailer, and historical price evidence.
BuyBox & seller share tracking
Track BuyBox winner over time, third-party seller share, prime eligibility, and FBA vs FBM dynamics on Amazon and competitor marketplaces.
Catalog & assortment analysis
Compare your SKU coverage against competitors by category, identify assortment gaps, monitor new product launches, and track discontinuation events.
Review & rating intelligence
Extract review counts, ratings, top complaints, and review velocity across competitor SKUs to identify quality issues and unmet customer demand.
Stock & availability monitoring
Daily or hourly stock status across retailers — out-of-stock alerts, restock detection, and inventory pressure signals for in-demand categories.
Sources we scrape
Major marketplaces, retailers, and DTC brands.
Long-tail and regional sources scoped per engagement — if a competitor displays it publicly, we can normalize it.
Amazon (US/UK/DE/JP/IN/+)WalmartTargetBest BuyHome DepotWayfaireBayEtsyAliExpressShopify storesBigCommerce storesCostcoMacy'sDirect-to-consumer brand sites
Fields we extract
Every attribute a pricing or assortment team needs.
Product title & description
Price (list, sale, promo)
BuyBox winner & history
Stock status & quantity
Ratings & review counts
Top reviews & sentiment
Seller name & rating
Prime / FBA / FBM status
SKU, ASIN, UPC, GTIN
Images & A+ content
Category & breadcrumb
Q&A and customer questions
Shipping & delivery info
Variant attributes (color, size, etc.)
Why this is hard
Marketplaces defend their data more than any other vertical.
Amazon serves billions of pages a day and treats unauthorized scraping as a hostile signal. CAPTCHA walls, IP throttling, dynamic layout serving, A/B tested DOM trees, headless-browser fingerprint checks, and TLS inspection are all in play at the marketplace layer. Walmart, Target, and Best Buy run similar defenses with different operational profiles.
Catalog data has its own problems: the same physical product appears under different ASINs, SKUs, or merchant identifiers across marketplaces. Without LLM-based product matching, a "competitor price" report becomes meaningless — you cannot compare your $129.99 SKU to a competitor record that may or may not be the same item.
We solve both. Custom scraping infrastructure handles the access layer (proxies, fingerprints, rendering, throttling). AI normalization pipelines handle the data layer (cross-marketplace SKU matching, unit reconciliation, dedupe). Outputs land in your dashboard or warehouse with BuyBox monitors, MAP alerts, and assortment views.
Process
From SKU map to managed delivery.
01
SKU & marketplace mapping
We define which products, marketplaces, geos, and fields matter — and which competitors you need to compare against — before any code is written.
02
Extraction at scale
Custom Amazon, Walmart, Shopify, and long-tail scrapers with rotating proxies, anti-bot handling, and refresh schedules sized to your SKU count.
03
AI normalization & matching
Cross-marketplace SKU matching via LLM-based product reconciliation. Cleaned schemas, unit normalization, and deduplication so the data is usable in BI.
04
Dashboard delivery & alerts
Pricing dashboards, BuyBox monitors, MAP alerts, and warehouse-direct exports. Slack, email, or webhook alerts on threshold events.
FAQ
Ecommerce data scraping FAQ.
Can you scrape Amazon product data at scale?
Yes. We extract price, BuyBox winner, prime status, stock indicators, ratings, review counts, A+ content presence, and seller data from Amazon at category and ASIN level. Our infrastructure handles rotating residential proxies, anti-bot defenses, and daily refresh of millions of ASINs.
What ecommerce sites do you support?
Amazon (US, UK, DE, JP, IN and more), Walmart, eBay, Target, Best Buy, Home Depot, Wayfair, Shopify stores, BigCommerce stores, Etsy, AliExpress, Costco, Macy's, and most direct-to-consumer brand sites. Long-tail retailers, regional marketplaces, and niche category sites are scoped per engagement.
How fresh is the pricing data?
Standard cadence is daily refresh for catalog data and hourly refresh for high-velocity pricing or BuyBox monitoring. Event-driven refresh (price-change alerts, stock-status webhooks) is available for use cases that need minute-level visibility.
Can you track MAP violations?
Yes. We monitor your authorized and unauthorized resellers against your MAP threshold across marketplaces and direct retailers, with daily reports, threshold alerts, and historical price tracking per SKU and seller.
How is this different from no-code scrapers like Bright Data Collector or Apify?
Off-the-shelf collectors work for one-off jobs but break when marketplaces update layouts or deploy new anti-bot defenses. We build maintained extraction infrastructure with monitoring, retry logic, AI normalization, and warehouse-direct delivery — designed for teams that depend on the data continuously, not occasionally.
How much does ecommerce data scraping cost?
Validation projects start from $100. Recurring managed scrapers start from $500/month and scale with SKU count, marketplace coverage, refresh frequency, and delivery complexity. Pricing is scoped per engagement before quoting.
Related work
Common adjacencies for ecommerce teams.
Ready to monitor competitors?
Start with a scoped pricing or catalog pipeline.
Validation projects from $100. Managed pricing pipelines from $500/month. Skumind AI extends this into a full retail intelligence product.