Google Shopping data for large retail catalogs
Your category team owns the assortment. Your BI team owns the data. We own the pipeline. From 10K to 5M products, your team gets real-time Google Shopping offers and EAN/GTIN matching from one API — without running a scraper operation.
Sound familiar?
You are paying €100K–€500K a year for an in-house scraper team or a platform markup you would rather skip.
A pricing-intelligence vendor sits between your data team and the raw data they actually want.
Coverage across the countries and merchants your categories span is incomplete or inconsistent.
Matching competitor listings to your own SKUs by barcode is unreliable at catalog scale.
Your BI stack (Snowflake, BigQuery, Airflow) wants a clean feed, not a dashboard you have to export from.
Get started in minutes
Send your catalog
Hand us EAN/GTINs from 10K to several million. We match each to the right Google product in real time and return every merchant's offer.
Land it in your warehouse
Structured JSON your data engineers pipe straight into Snowflake, BigQuery or Airflow — the same API and contract from 10K to 5M SKU.
Or have us match it for you
On Enterprise we can match your catalog as a delivered service (from 500K products) and return the Google Shopping product ID for each, so you persist the mapping yourself.
Everything you need
Consume the data directly
Skip the platform markup — your BI team reads the raw feed your category team needs.
Real-time EAN/GTIN matching
Each of your SKUs resolves to the right Google product, at catalog scale.
40+ countries
Cover every market your assortment spans from one contract.
Same API from 10K to 5M SKU
No re-platforming as your catalog or country count grows.
Matched product ID delivered
On Enterprise, get the Google Shopping product ID so you can warehouse and replay mappings.
99% uptime
A feed your data pipelines can schedule against reliably.
Bypass the platform, consume the layer
Large retailers increasingly want the option to go direct: instead of paying a pricing-intelligence platform that wraps the data in a dashboard, your data-engineering team consumes the Google Shopping data layer itself and builds exactly the views your category managers need. Same data the platforms run on — without the seat fees and export friction.
- One JSON feed into Snowflake / BigQuery / Airflow / dbt
- From a niche 10K-SKU range to a full multi-brand assortment of millions
- Your category team also keeps the option to track its own data per retailer
Matching delivered for you, at catalog scale
Matching millions of SKUs to the right Google products is exactly the work you do not want to own. Tell us how many products you want matched and we will scope and deliver it: each EAN/GTIN resolved to the correct Google Shopping product, with the product ID returned so your warehouse holds the mapping and you replay without re-matching.
- Real-time EAN/GTIN → correct product resolution
- Matching delivered as a service from 500K products (Enterprise)
- Google Shopping product ID returned for persistence in your warehouse
Frequently Asked Questions
We already use a pricing-intelligence platform — why talk to you?+
Those platforms are often built on an upstream data feed. If your data team wants the raw Google Shopping data directly — to build their own views or cut the platform markup — you can consume the same layer the platforms do.
How large a catalog can you handle?+
The same API and contract serve 10K to 5M+ SKU. Concurrency scales by tier, and Enterprise concurrency is negotiable for catalog-scale workloads.
Can you match our whole catalog for us?+
Yes — on Enterprise, matching is a delivered service from 500K products. We return the matched Google Shopping product ID for each so you persist the mapping in your own warehouse.
Does this fit our data stack?+
The API returns structured JSON your engineers land directly into Snowflake, BigQuery, Airflow or dbt. It is a feed for your pipeline, not a dashboard you export from.
Consume Google Shopping data directly
Tell us your catalog size and how many products to match — we will scope it.