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Ecommerce & Marketplace Data Scraping

Track product catalogs, prices, reviews, and sellers across Amazon, Walmart, Target, eBay, Best Buy, and other US marketplaces — delivered as clean, deduped datasets your team can actually use.

3–7 days  pilot turnaround Hourly / Daily  refresh CSV · JSON · API  delivery

If you sell on US marketplaces or compete with brands that do, raw product data isn't enough. You need a normalized, deduped, and matched dataset — joined to your SKUs, refreshed at the cadence your pricing or merchandising team actually operates on. That's what we build.

What you get

Fields engineered for real use.

Full product attributes

Title, brand, category, variants, images, descriptions, specs — every field you'd see on a US marketplace product page, structured.

Pricing & promotion data

Current price, list price, discount %, promo codes detected, lightning deals, coupon stacking flags. Joined to historical price changes.

Stock & availability

In-stock / out-of-stock / limited indicators, plus delivery options (Prime, 2-day, pickup) for US fulfillment realities.

Seller & buy box data

Who currently has the buy box, full seller list, seller ratings, MAP violation flags, third-party vs FBA distinction.

Ratings & reviews

Aggregate ratings, review counts, verified review extraction, sentiment-ready text fields.

Variants & relationships

Parent/child ASIN or SKU mapping, color / size variants properly normalized — not duplicated rows.

Sample Schema

What the actual ecommerce data scraping output looks like.

ecommerce-data-scraping_sample.csv ● LIVE SCHEMA
SourceASIN/SKUTitleBrandPriceWas PriceBuy Box SellerStockRatingReviewsCaptured (UTC)
AmazonB08XYZ123Wireless Earbuds ProAcme$79.99$99.99Amazon.comIn Stock4.512,4082026-05-19 10:30
WalmartWM-114-00832oz Insulated BottleHydroFlow$24.99$29.99WalmartIn Stock4.73,1092026-05-19 10:30
TargetTG-9-447-201Organic Coffee Beans 2lbRoastCo$18.49TargetLimited4.66122026-05-19 10:30

Sources we typically cover: Amazon.com · Walmart.com · Target.com · BestBuy.com · HomeDepot.com · Lowes.com · eBay.com · Wayfair.com · Kroger.com · CostCo.com

Who uses this

Teams that ship with this data weekly.

Competitive pricing teams

Monitor 10K–10M SKUs across Amazon, Walmart, Target with hourly or daily refresh. Get alerts when competitors drop prices or run promos.

Brand protection teams

Detect MAP violations, unauthorized sellers, listing hijacks, and counterfeits across US marketplaces.

Merchandising & assortment

Benchmark category coverage, identify gaps vs competitors, see what's trending in your category.

Investor & alt-data teams

Build alternative data signals from US marketplace activity — pricing trends, new launches, brand share shifts.

Process

From requirements to delivery — fast.

01

Requirements

30-min call to confirm sources, fields, frequency, and output schema.

02

Pilot in 3–7 days

Sample dataset delivered for your team to validate coverage and quality.

03

Production + SLA

Scheduled jobs, monitoring, retries, reporting — backed by uptime SLA.

FAQ

About ecommerce data scraping.

Can you scrape Amazon at scale?

Yes. We handle large Amazon catalogs with rotating residential infrastructure, CAPTCHA handling, and rate-managed crawling. Refresh windows can be hourly down to daily depending on category size.

How do you match products across marketplaces?

We do entity resolution using UPC/GTIN where available, then fall back to a combination of title normalization, brand+model matching, and image hashing. Final match confidence is delivered with the dataset.

What's the smallest project you take?

We have a Starter plan for single-source, daily extraction. Pilot starts at single-source coverage and scales from there.

Do you handle variants properly?

Yes — parent ASIN, child ASINs, color/size variations, and variant-specific pricing are kept in a normalized parent/child structure.

Get a sample dataset in 3–7 days.

Tell us the sources and fields you need. We will reply within 1 business day with a sample schema and a fast estimate.

Request sample data