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Trust & CompanyAjio India Weekly Fashion Product, Pricing & Availability Dataset
A weekly file of the Ajio catalogue captured at size and colour level — one row per buyable variant, not per product page. Nineteen columns covering price, MRP, size, colour, availability, bank offers, seller and the product URL, in a flat structure you can load without parsing anything.
This is the thing most fashion datasets get wrong. A single listing is dozens of buyable variants, and on Ajio they do not all cost the same or stay in stock together. A product-level file reports one price and one stock flag, and is simply wrong for most of the sizes underneath it.
The file already exists, because this pipeline runs on a fixed weekly schedule 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. If any of them is not what you expected, the sample will show you before you spend anything.
One row per size and colour
Not per product page. A shirt in six sizes and four colours is twenty-four rows, each with its own price, availability and variation SKU.
Price captured per variant
On Ajio larger sizes frequently cost more. In the sample the same product in the same colour runs ₹269 in S, M and L, ₹275 in XL and ₹279 in XXL.
Availability per variant
A listing stays live when individual sizes sell out, usually the ones in the middle of the run. Only variant-level data shows you which.
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 19 columns, in the exact order they appear in the file — this list is 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 free sample is 50 variant rows with all 19 columns.
Coverage
The full Ajio catalogue across men's, women's and kids' fashion, captured weekly and expanded to variant level.
| Category | Products tracked | Brands | Median discount |
|---|---|---|---|
| Women · Ethnic Wear | 184,600 | 3,410 | 62% |
| Women · Western Wear | 162,300 | 2,940 | 58% |
| Men · Western Wear | 148,900 | 2,180 | 61% |
| Men · Ethnic Wear | 74,200 | 1,260 | 57% |
| Women · Fusion Wear | 61,400 | 1,080 | 64% |
| Women · Lingerie & Innerwear | 58,700 | 740 | 49% |
| Fashion Jewellery & accessories | 52,100 | 1,630 | 66% |
| Kids, footwear and all other | 99,800 | 2,050 | 55% |
Only tracking your own brand and a competitive set? Send the brand list and we will price a narrower file, which costs considerably less than the full catalogue. We can also move this to daily capture if you are watching a sale period.
Historical data
The last 30 days come with the dataset. Beyond that we hold Ajio records from May 2025 onwards — which covers a full festive and end-of-season sale cycle, usually the reason people ask. Tell us the brands or categories and we will confirm exactly what exists.
Ask about historical dataNeed more data points?
We can extend this dataset beyond the standard 19 columns — the category tree as separate columns is the most requested addition, along with seller-level pricing, rating and review counts, offer codes parsed into their own fields, and your own style codes joined in. Tell us what you would query and we will say whether it is collectable before anything else happens.
Request custom fields“We had been pulling Ajio at product level and our size-wise sell-through model never reconciled. Once every size and colour came through as its own row with its own price, the gaps explained themselves in an afternoon.”
What people use this dataset for
Fashion brands
Track your own listings size by size and colour by colour — where you are sold out, where the price is drifting, and which variants never restock.
Marketplace and pricing teams
Benchmark price by size across brands, and catch listings that look live but have no buyable size left.
Planning and merchandising
Feed variant-level availability into size-curve and replenishment models rather than guessing from a single stock flag.
Analysts and investors
Category-level assortment, depth and availability series for one of India's largest fashion platforms.
About Ajio marketplace data
Ajio is Reliance Retail's fashion platform and one of the three largest apparel destinations in India alongside Myntra and Amazon Fashion. It runs a marketplace model with thousands of independent sellers, which makes brand-level analysis harder than on a single-retailer site — and considerably more useful once the data is at the right grain.
Why variant level is the whole point
A fashion listing is not one product. It is a size run in a colour, and every combination is separately priced, separately stocked and separately sold out. In the sample supplied with this dataset the same hipster in the same colour runs 269 in S, M and L, 275 in XL and 279 in XXL — a product-level file would report one of those five numbers and be wrong about the rest. That is the single reason this dataset exists in this shape.
Reading availability properly
Ajio keeps a listing visible when individual sizes sell out, and the gaps usually appear in the middle of a size run rather than at the ends — M and L go first because that is where the demand is. In the sample, one product is available in S, M and XL but sold out in L. If you are measuring competitor availability or building a size curve, one stock flag per listing gives you no signal at all.
What bank offers tell you
The Bank Offers column carries card and UPI promotions as they appear on the listing, pipe-delimited as scope, instrument, description and offer identifier. These sit on top of the listed price, so a brand comparing its own realised discount against Ajio's displayed price will consistently understate it. The field is kept verbatim rather than resolved into a final price, because which offer applies depends on the customer's card.
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
Related datasets, same field names
These join to the file above without any reconciliation work, which is why most buyers take more than one.
