The Product Listing That Builds Itself

The situation

Every listing was assembled by hand: pull the product details from the source, work out whether the item was graded or ungraded, write the title in the house format, fill in the description, and repeat. It was slow, it drifted out of format the moment more than one person did it, and it put a hard ceiling on how many products could go live in a week.

What we built

A pipeline that reads product data from the source, structures it, classifies each item correctly, standardizes how it is described, and creates the product in Shopify ready to publish. The seller stops typing products and starts reviewing them.

How it works

1. 01The pipeline pulls product data from Collectr, collecting the full set of details for each item.
2. 02Each item is cleaned and structured, and its grading status is determined from the source data so graded and ungraded items are never confused.
3. 03Titles, grading information, descriptions, and supporting attributes are normalized into one consistent format across the entire catalog.
4. 04The product is created in Shopify with every field mapped to the right place, arriving publish-ready rather than as a draft to fix.

The challenges we solved

• Whether an item is graded is the single detail that drives its price and how buyers search for it. Misclassifying one product is worse than not listing it, so classification had to be derived reliably from the source data rather than guessed.
• Source data is not consistently formatted. A normalization layer sits between extraction and creation so the store's catalog reads as one voice regardless of how the source recorded it.
• Shopify field mapping had to be exact. A detail landing in the wrong attribute is invisible on the product page but breaks filtering, search, and reporting downstream.

The result

Listings are now created straight from source data in a consistent format, with grading handled correctly on every product. Catalog growth stopped being a function of how many hours someone had free to type.