Product data and feeds, built to order
Clean catalogs that flow into every channel
Product data and feeds built to order means a pipeline that cleans, normalizes, and enriches your catalog, then ships it to Google Merchant, marketplaces, and ad channels on a schedule, so the feed stops getting rejected and the same product stops living under ten names. I build these pipelines in Python and SQL. The product scrapers I published handle exactly this kind of messy catalog data at the source.
For whom
- Sellers: the feed keeps getting rejected for bad data
- Teams: the same product lives under ten names
- Agencies: need to push one catalog to many channels
Included
- Clean and normalize messy product data
- Enrich titles and descriptions for search
- Ship feeds to Google Merchant and beyond
- Scheduled runs, so the feed stays fresh
How we work
- 01
Scope
We map the sources, the target channels, and the rules.
- 02
Build
I build the pipeline that cleans and ships the feed.
- 03
Launch
I put it on a schedule and validate the output.
Timeline: from 1 week·Price: on request, quote after the scope
Stack and integrations
- PythonpandasSQLGoogle MerchantShopifyBigQuery
Questions
›Can it enrich descriptions automatically?
Yes. I can run titles and descriptions through an LLM pass tuned for each channel rules, then keep a human check before it ships.
›How often can the feed update?
As often as your source changes, daily or hourly. I size it to the channel limits and your budget.
Clean catalogs that flow into every channel
Discuss your project