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Web Fusion Data
Live marketplace intelligence
Web Fusion Data's e-commerce scraper pulls structured product, pricing, review, seller and stock data straight from the marketplaces your business tracks — refreshed on your schedule, delivered in the format your systems already use.
/ 01 — the basics
An e-commerce scraper is an automated system that visits marketplace and retailer pages, reads the product, price, review and seller information on them, and turns that raw HTML into clean, structured data you can query, chart or feed into another system. Web Fusion Data runs this process continuously across the marketplaces you choose, so the data in front of you is never more than a refresh cycle old.
Rotating residential and datacenter IPs reach target pages the way a real shopper would, region by region.
A headless browser layer executes JavaScript so dynamically loaded prices, reviews and stock counts are visible.
Page-specific parsers pull out titles, prices, specs, ratings and seller details field by field.
Records are deduplicated, type-checked and mapped to a consistent schema across every marketplace.
Clean datasets land in your API, storage bucket or database on the schedule you set.
/ 02 — capabilities
Built to handle the scale, speed and defenses of modern marketplaces without breaking your pipeline.
Refresh cycles from every few minutes to daily, matched to how fast a category actually moves.
Headless rendering captures prices and stock levels that only appear after page scripts run.
Rotating IP pools and browser fingerprints keep crawls running past rate limits and bot walls.
Pull region-specific pricing and availability by routing requests through the right country or city.
Set recurring jobs by SKU list, category or full catalog — hourly, daily or on a custom cadence.
Map any site's fields to your own schema so every marketplace lands in one consistent table.
From a few thousand SKUs to tens of millions, the same pipeline scales without a re-architecture.
Automated checks flag broken selectors, missing fields or price anomalies before data reaches you.
/ 03 — coverage
Pre-built parsers for the marketplaces your competitors and customers already shop on, plus the ability to onboard any storefront you name.
/ 04 — output
One crawl, six ready-to-use datasets — pick the ones that feed your workflow.
Titles, categories, specifications, images and variant structures for every listing tracked.
Current price, list price, discount depth and promotional pricing history over time.
Star ratings, review volume, review text and sentiment-ready fields per product.
Seller identity, rating, fulfillment type and marketplace-level metadata.
Stock status, quantity signals and restock timing at SKU and warehouse level.
Full breadcrumb trails and category mappings for assortment and gap analysis.
/ 05 — schema
/ 06 — schema
/ 07 — schema
/ 08 — schema
/ 09 — availability
Stock signals refresh on the same cycle as pricing, so a sell-out or restock shows up before it shows up in a customer complaint.
Live stock flag plus quantity-available signal where the marketplace exposes one.
Configurable low-stock thresholds trigger alerts before a SKU disappears from search.
Out-of-stock timestamps, backorder status and expected restock dates by warehouse or region.
/ 10 — delivery
/ 11 — applications
Feed competitor prices straight into your repricing engine so offers stay in line, hour by hour.
Track assortment, pricing and promotions across every competitor storefront in one dashboard.
Catch resellers dropping below minimum advertised price before it erodes brand value.
Spot category gaps, emerging brands and pricing bands across an entire marketplace.
Turn raw review text into structured sentiment signals for product and CX teams.
Combine stock signals and price history to model demand ahead of seasonal peaks.
Power comparison and affiliate platforms with a constantly refreshed price feed.
Detect counterfeit listings and unauthorized sellers trading on your product titles.
/ 12 — the case for us
Web Fusion Data is built for teams who need marketplace data they can build a pricing or forecasting decision on — not just a spreadsheet export.
/ 13 — questions
We collect only publicly available page data, respect site terms where required, and apply rate limits designed not to disrupt the target site. We're glad to walk through the specifics for your use case before you start.
Refresh cycles range from under an hour for fast-moving pricing to daily for catalog-level attributes, set per project based on how quickly that data actually changes.
Yes. A headless rendering layer executes page scripts before extraction, so prices and stock levels loaded dynamically are captured correctly.
JSON, CSV and XLSX exports, a REST API, webhooks, direct cloud storage delivery, or a push straight into your database or warehouse.
Rotating IP pools, browser fingerprint management and adaptive crawl pacing are built into every job, with a dedicated team monitoring for new blocking patterns.
Yes, custom parser builds are part of the service. Send us the site and the fields you need and we'll scope the build.
Yes, request a sample dataset for your category and marketplace of choice before committing to a plan.
Ready when you are
Tell us the marketplaces and fields you need — Web Fusion Data will scope a crawl and send back a sample dataset within one business day.