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Urban Outfitters Catalogue, Reviews & Size-Level Stock Dataset

Urban Outfitters sells apparel, beauty and homeware to one young audience, and this file captures the catalogue at variant level — 32 columns including price, stock flag, colour, size, size charts and the full text of customer reviews.

The mix is what makes it interesting: beauty and fragrance sat next to BDG denim in the sample, at $5 to $100, with review text captured in full on 39 of 50 rows.

This data is available for download immediately after purchase

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.

$499.00per month
All prices are in USD · GST or VAT added on the invoice
Every style, size and colour by size and colour
32 fields, all listed below
This dataset was last updated on 02-Oct-2026
Delivered monthly · cancel any time
Excel and CSV included · JSON and Parquet on request
Please download the sample first and check the fields against what you need. Data files are not refundable once delivered.
VISA · MASTERCARD · AMEX · UPI · NET BANKING

What you get, in plain terms

Four things. A lifestyle retailer captured with its reviews attached.

Review text, not just a score

Reviews carries review titles and bodies as JSON alongside the rating, so fit complaints and quality praise can be read per style.

Size with length

Size reads “ONE SIZE - REGULAR”, “XXS - REGULAR” — the fit and the length together, which is how Urban Outfitters sizes its denim.

Beauty and apparel in one tree

Category paths run “Beauty/Perfume + Cologne”, “Beauty/Skin Care” and “Women's/Bottoms/Pants”, so the two halves of the assortment can be split or compared.

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 32 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.

S.No.WebsitePIDName Short DescriptionDescriptionCategoryImage URL PricePrice CurrencySale PriceFinal Price DiscountIsOnSaleIsInStockKeywords BrandManufacturerMPNUPC or EAN SKUColourGenderSize Size ChartVarint_PriceAlternate Image URLsLink URL Num RatingsAverage RatingsReviewshash_id

Sample rows from the real file

Real rows from the sample file, not an illustration. The supplied sample has 50 variant rows with all 32 columns.

Sample is free, no signup and no card. Check the fields before you buy — files are not refundable once delivered.

Coverage

Captured monthly across urbanoutfitters.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
Variant rows 50 across 11 styles Beauty, fragrance, denim
Brands Gourmand 20 · BDG 13 · Kara Beauty Own label and stocked brands
Price range $5 – $100 Median $32
Out of stock 7 of 50 Mostly fragrance
Reviews 39 of 50 rows Title, body, rating, date as JSON
Size chart 13 of 50 rows Apparel only

Only tracking beauty, denim or a set of brands? Send the list and we will price a narrower file.

Historical data

The last 30 days come with the dataset. Beyond that we hold Urban Outfitters records from February 2025 onwards.

Ask about historical data

Need more data points?

We can extend this dataset beyond the standard 32 columns — reviews flattened to one row each is the most requested change, so they load straight into a text-analysis pipeline.

Request custom fields

“We bought it for the denim pricing and ended up using the review text more. Scent and fit complaints in customers' own words are hard to buy anywhere else.”

MK
Maya Kaur · Consumer InsightsUS lifestyle brand · downloaded the sample, bought the same month

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.

No procurement cycle. Card payment, invoice on the spot. Most buyers are querying data the same afternoon.
Maintenance is ours. When Urban Outfitters changes its layout, the file you receive does not change shape.
Analysis-ready. Loads straight into Excel, Power BI, Tableau, BigQuery or a pandas notebook.
Cancel whenever. The feed runs to the end of the period you paid for, then stops. No notice, no fee.

About Urban Outfitters catalogue data

Urban Outfitters sells apparel, beauty, homeware and music to a young urban customer, mixing its own labels — BDG above all — with stocked brands. One site, several categories, all captured together.

Review text, not just a score

Thirty-nine of 50 sampled rows carried a Reviews value holding each review's title, body, rating and date as JSON. For beauty especially, what customers say about scent, longevity or shade is the part that cannot be reconstructed from a star average.

Beauty sits beside denim

Gourmand fragrance and BDG denim appeared in the same sample, priced $5 to $100. Urban Outfitters merchandises both from one site, so the file lets you watch a lifestyle assortment rather than a single category.

Two things to plan for

Discount, IsOnSale, Short Description, Keywords, Manufacturer, UPC or EAN and Gender came through empty, so compare Price with Final Price for markdowns — there were none in this sample. Size Chart is filled on 13 rows, the apparel ones.

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

JSON holding each review's title, body, rating and date — populated on 39 of 50 sampled rows. We can flatten it to one row per review on a custom feed.
Yes — 37 of the 50 sampled rows were beauty, fragrance and wellness, the rest BDG denim. The category path separates them.
Once a month. Each file is a fresh capture of the catalogue, which suits assortment, range and benchmarking work. If you need markdowns as they happen, weekly and daily versions of this feed are available.
Immediately. The pipeline runs on its schedule whether you buy it or not, so the current file is in your account within minutes, with an API key. Most vendors start collecting after you order, which is why they quote a lead time.
Yes. Real rows with every field and a data dictionary, no signup and no card. Checking the fields against your own requirement takes five minutes and prevents almost every problem we see.
Excel and CSV are included, UTF-8 encoded. JSON and Parquet are available on request at no extra cost — JSON suits the nested fields best.
Yes, and the key comes with the dataset at no extra charge. It is unmetered for the data you have bought, with a fair-use rate limit documented in the API reference.
Yes. Send the categories, brands or a list of products you track and we will price a narrower file, which costs considerably less than the full catalogue.
Data files are not refundable once delivered, which is why the sample matters. One exception: if a delivered file does not match the field list on this page, that is our error and we fix it or refund that month.
Any time from your account. The feed keeps running until the end of the period you have paid for, then stops. No notice period and no cancellation fee.
We email you 30 days before any field is added, renamed or removed, and we never remove one inside a period you have already paid for.
The last 30 days are included. Beyond that we hold Urban Outfitters records from February 2025 onwards. Ask and we will confirm exactly what exists for the categories you care about.
Internal use across your whole organisation with unlimited seats. Redistributing the data, reselling it, or embedding it in a product you sell needs a separate licence — tell us what you have in mind.
Of course, though nothing on this page requires it. If you would rather have a call before buying, use the contact form and ask for the datasets team.
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