PacSun Multi-Brand Catalogue, Markdown & Stock Dataset
PacSun sells its own label next to the brands teenagers actually ask for, and this file captures both — 30 columns covering list price, final price, discount, stock flag, brand, colour, size, category and ratings.
It is a trend-led, heavily promoted shelf: the sample carried 28 distinct colours across 50 styles at $18 to $165, with 25 of 50 rows discounted — one by 77% — and 21 of 50 out of stock.
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. Own label and guest brands on the same shelf, with the markdowns visible.
Own label and guest brands
Brand separates PacSun's own label from Edikted, John Galt and others, so you can see which brands it promotes and which it clears.
List price and final price side by side
Price is the list price, Final Price what a shopper pays and Discount the saving in dollars, so markdown depth is a subtraction, not a guess.
One row per size and colour
The file is at variant level, not product level: every size and colourway of a style is its own row with its own SKU and stock flag, so you can see exactly which sizes are still buyable.
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 pacsun.com. One row is one size-colour variant, identified by its SKU, with the style in PID.
| Metric | In the supplied sample | What it tells you |
|---|---|---|
| Rows | 50, all distinct products | Swim, sweaters, tees, bags |
| Brands | Pacsun 12 · Edikted 10 · others | Own label and guest brands |
| Discounted rows | 25 of 50 | Deepest 77% off |
| Price range | $18 – $165 | Median $42.40 |
| Out of stock | 21 of 50 | Two in five gone |
| Colours | 28 distinct | A wide seasonal palette |
Only tracking a guest brand, swim or denim? Send the list and we will price a narrower file.
Historical data
The last 30 days come with the dataset. Beyond that we hold PacSun records from February 2025 onwards.
Ask about historical dataNeed more data points?
We can extend this dataset beyond the standard 30 columns — a populated review count and first-seen dates are the most requested additions.
Request custom fields“PacSun decides which young brands get scale. Watching what it stocks and what it marks down is a read on the whole youth market.”
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 PacSun catalogue data
PacSun sells youth and trend fashion through its own label and a rotating set of guest brands — Edikted and John Galt among them. For a young brand, being stocked there is a milestone; for a competitor, the assortment is a map of what is landing.
Promotion is heavy and uneven
Twenty-five of 50 sampled rows were discounted, the deepest at 77%, while the rest sat at full price. Because Brand is on the row, you can see which labels get cleared and which hold price.
Sizing in the retailer's own shorthand
Sizes arrive as “SML”, “MED”, “LRG”, “XLG” alongside standard XS–XL. Normalise them on load; we can do it on a custom feed.
Two things to plan for
Num Ratings is empty while Average Ratings is populated, so you get a score without a sample size. Brand is blank on 8 rows, Keywords, Manufacturer and UPC or EAN on all.
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
Brand names them — Edikted, John Galt and others — and is blank on 8 of 50 sampled rows where PacSun does not publish one.
Average Ratings is populated while Num Ratings came through empty, so treat the score with caution. We can capture the review count on a custom feed.
