Lead Generation with Google Shopping Data

Extracting seller and merchant data

Google Shopping offers endpoints return detailed seller information including merchant names, domains, pricing, and shipping terms. This data represents a rich source of B2B leads because every seller listed is an active e-commerce business with a demonstrated need for competitive intelligence and pricing tools. By scraping offers across product categories, you can build a comprehensive database of active online sellers. Each seller record includes their domain, which enables company identification, and their pricing behavior, which reveals their level of pricing sophistication.

• Extract merchant names and domains from Google Shopping offers
• Build seller databases segmented by product category and market
• Identify seller activity levels based on the number of products listed

Qualifying leads through pricing behavior analysis

Not every seller makes a good prospect. Qualify leads by analyzing their pricing behavior across the marketplace. Sellers with inconsistent pricing across products may lack pricing tools and represent a strong sales opportunity. Sellers who are consistently underpriced may be leaving margin on the table and could benefit from competitive intelligence. Track how seller pricing changes over time. Sellers who rarely adjust prices may be managing pricing manually, making them ideal prospects for automated pricing solutions. Sellers with erratic price changes may be struggling with their current tools and open to alternatives.

• Score leads based on pricing consistency and competitiveness
• Identify sellers managing pricing manually through behavior patterns
• Segment prospects by category relevance and pricing maturity

Building prospect lists at scale

ShoppingScraper's structured API responses make it straightforward to process seller data into actionable prospect lists. Combine Google Shopping data with Amazon seller data to build a more complete picture of each prospect's marketplace presence. Sellers active on multiple platforms represent higher-value leads with greater need for multi-channel pricing tools. Automate periodic scans to detect new sellers entering your target categories. New marketplace entrants are often actively evaluating tools and services, making them particularly receptive to outreach. Schedule regular data pulls to keep your prospect pipeline fresh with newly identified sellers.

Real example: 65 sellers found for a single LEGO product

A single API call for LEGO 10313 Icons Wildflower Bouquet (EAN: 5702017416663) on Google Shopping NL returns 65 individual sellers. This is a goldmine for B2B lead generation — each seller is a potential prospect with a known product interest, price point, and online presence.

• bol.com — €45.75
• Amazon.nl — €45.75
• Joybuy.nl — €45.75
• MediaMarkt — €49.99
• Wehkamp — €50.99
• Coolblue — €49.99
• Intertoys — €51.99
• Kruidvat.nl — €54.99
• LEGO.com — €59.99
• Alternate.nl — €45.99
• Top1Toys — €49.99
• DreamLand — €48.99
• galaxus.nl — €49.43
• Smyths Toys — €44.99
• Conrad.nl — €51.99
• Trekpleister — €54.99
• Proshop.nl — €49.69
• BRICKkampioen — €44.95
• speelgoedenmodelbouw.com — €39.90
• Lobbes.nl — €51.99
• Extract seller domains for outreach lists
• Analyze pricing strategies per seller (range: €39.90–€59.99)
• Identify niche retailers in your product category (e.g. BRICKkampioen, speelgoedenmodelbouw.com)
• Use Google favicon API to get seller logos: https://www.google.com/s2/favicons?domain={domain}&sz=32