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Research reports on e-commerce data trends
Quarterly deep-dives drawn from our managed scraping operations across 500+ retailers in 6 countries. Pricing dynamics, MAP enforcement, quick-commerce growth, marketplace shifts — with real numbers, no fluff.
Reports we're working on
Topics we're researching from our operational data right now.
Clearance Price Data Scraping: Building a Deals Feed That Detects Genuine Discounts
Clearance Price Data Scraping for deals feeds: how to detect a genuine price drop versus a fake discount, why baselines matter, and what a real deals feed captures.
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Barcode Data Scraping: Using GTIN and Product Identifiers to Match Products Across Platforms
Barcode Data Scraping for GTIN and product-identifier enrichment - how barcodes become the join key that matches the same product across every platform, and the traps.
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eBay Listing Data Scraping: Building a Real-Time New-Listing Feed That Fires Within Seconds
eBay Listing Data Scraping for real-time new-listing feeds: what a near-real-time webhook of every new listing must capture, latency that matters, and the traps.
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Etsy Product Data Scraping: Building a Dataset for a Handmade, Long-Tail Marketplace
Etsy Product Data Scraping for handmade marketplaces - why unstructured, variant-heavy craft listings need special handling, and what a usable dataset must capture.
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Sneaker Pricing Data Scraping: Measuring the Retail-to-Resale Spread Across Nike, Adidas, and Brand Sites
Sneaker Pricing Data Scraping across Nike, Adidas, SNKRS and resale markets - how to measure the retail-to-resale spread cleanly, and where the compliance line sits.
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Historical Pricing Data Scraping: Building a Time-Series Dataset That Cannot Be Backfilled
Historical Pricing Data Scraping: why price history cannot be backfilled, what a real time-series dataset must capture, and how to build one that survives analysis.
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FMCG Data Scraping: Brand-Side Shelf and Price Monitoring Across E-Commerce and Quick Commerce
FMCG Data Scraping for brand-side monitoring across e-com and q-com - price, availability and share of shelf on your SKUs and competitors’, and the traps to avoid.
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Marketplace Sales Volume Data Scraping: Estimating Units Sold From Public Signals, Honestly
Marketplace Sales Volume Data Scraping: what public signals can honestly estimate about units sold, what they can’t, and how to build a defensible demand proxy.
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Grocery Image Data Scraping: Building an Image-Plus-Attribute Dataset for Catalog Builds
Grocery Image Data Scraping pairs clean pack images with brand, price and weight for catalog builds. What a usable image-plus-attribute dataset needs, and the traps.
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