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Trust & CompanyCatbird Fine Jewellery Catalogue & Size-Level Stock Dataset
Catbird is New York's best-known independent fine-jewellery brand, and this file captures its catalogue size by size — 30 columns covering price, stock flag, SKU, category path, ring size, ratings and image URLs.
Jewellery sells through by size, not by style. In the supplied sample of stacking rings — $68 to $298 with a median of $74 — 9 of 50 size rows were already out of stock, on pieces rated 4.76 on average.
The file already exists, because this pipeline runs once a month whether you buy it or not. Most vendors start collecting after you order — which is why they quote a lead time. Here the most recent file is in your account within minutes of payment, with an API key issued at the same time.
What you get, in plain terms
Four things. Small-batch fine jewellery, where a single sold-out ring size is the whole demand signal.
One row per ring size
Sizes 4 through 12 each arrive as their own row with their own SKU and stock flag, so you can see which sizes a style has sold through.
Ratings on every row
Num_Ratings and Average_Ratings are populated on all 50 sampled rows — 4.76 average — so popularity sits next to availability.
Full category path
Category gives “All Jewelry/Rings/Stacking Rings”, so the catalogue splits the way Catbird merchandises it.
However you want it
Direct download, REST API, Amazon S3, Google Cloud, Snowflake or SFTP. The API key comes with the dataset.
Fields included in this dataset
All 30 columns, in the exact order they appear in the file — taken straight from the sample, not from a brochure. The free sample ships with a data dictionary giving an example value for each one.
Sample rows from the real file
Real rows from the sample file, not an illustration. The supplied sample has 50 variant rows with all 30 columns.
Coverage
Captured monthly across catbirdnyc.com. One row is one size of one piece, identified by its SKU and product URL.
| Metric | In the supplied sample | What it tells you |
|---|---|---|
| Rows | 50, all unique SKUs | Stacking rings, sizes 4–12 |
| Price range | $68 – $298 | Median $74 |
| Out of stock | 9 of 50 size rows | Specific sizes gone, styles still listed |
| Ratings | On all 50 rows | Average 4.76 |
| List vs final price | Identical on all rows | No markdowns in this sample |
Colour · Gender |
0 of 50 | Not populated — see the FAQ |
Only tracking rings, or a set of collections? Send the categories and we will price a narrower file.
Historical data
The last 30 days come with the dataset. Beyond that we hold Catbird records from February 2025 onwards.
Ask about historical dataNeed more data points?
We can extend this dataset beyond the standard 30 columns — metal, karat and stone pulled out of the description are the most requested addition.
Request custom fields“Fine jewellery sells out one ring size at a time. A monthly file that shows which sizes are gone tells us more than any trend report.”
What people use this dataset for
Retail and brand pricing teams
Benchmark list prices, markdown depth and timing against a competitor's live catalogue.
Merchandising and planning
See assortment width, size depth and what is already out of stock, category by category.
Marketplace and resale sellers
Track which styles, colours and sizes disappear first to shape your own buys.
Data and AI teams
Train product matching, attribute extraction and pricing models on clean, structured catalogue data.
About Catbird catalogue data
Catbird is a Brooklyn-based fine-jewellery brand known for delicate stacking rings, its own workshop and a strong direct-to-consumer following. Its catalogue is a benchmark for anyone selling fine jewellery online at this price point.
Size is the unit that matters
Rings are made and sold in individual sizes, and each one carries its own SKU and stock flag here. Nine of 50 sampled size rows were out of stock — the kind of gap that tells you which sizes to make more of, and which a competitor cannot currently fulfil.
Materials live in the description
Description carries the metal, karat and stone detail in prose — “thin as a whisper”, “shiny as flaxen” — rather than as structured fields. It is extractable, and we can do that on a custom feed.
Two things to plan for
Colour, Gender, Keywords, Manufacturer, UPC_or_EAN and Discount came through empty on every sampled row. Column names use underscores — Final_Price, Link_URL — unlike our other retail feeds, so map them if you combine sources.
Is collecting this data legal?
Collecting publicly visible product and price information is generally lawful in most jurisdictions. Actowiz collects only public pages, respects robots.txt and platform terms, holds no personal data, and aligns with GDPR and CCPA. We are ISO 9001 and ISO 27001 certified, and this dataset carries documented provenance so your legal team can review the source before you buy.
Frequently asked questions
Description; we can extract them into columns on a custom feed.
