All APIs
0.1¢ per product24 datapoints
Blinkit Category API
Extract Blinkit category page listings — products, prices, stock, ratings — from category URLs
Sample
Sample data
Here's a sample run for the Blinkit category page 'Drinks & Juices', showing the exact schema and results you can expect.
| # | Product Name | Brand | Variant ID | Product ID | Price | MRP | Discount % | Pack Size | In Stock | Stock Count | Rating | Rank | Sponsored | Images | Product URL | Store ID | Latitude | Longitude |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Paper Boat Mango Passion Sparkling Water - Pack of 2 | Paper Boat | 768814 | 768814 | 106 | 120 | 12 | 2 x 600 ml | true | 4 | 4.47 | 1 | false | 44371 | 27.196 | 78.009 | ||
2 | Paper Boat Mango Passion Sparkling Water | Paper Boat | 755302 | 755302 | 54 | 60 | 10 | 600 ml | true | 9 | 4.47 | 2 | false | 44371 | 27.196 | 78.009 | ||
3 | Coca-Cola Diet Coke Diets & Lights - Pack of 6 | Coca-Cola | 331831 | 331831 | 297 | 300 | 1 | 6 x 330 ml | true | 33 | 4.57 | 3 | false | 44371 | 27.196 | 78.009 | ||
4 | Coca-Cola Diet Coke Diets & Lights | Coca-Cola | 206598 | 206598 | 50 | 50 | 0 | 330 ml | true | 18 | 4.57 | 4 | false | 44371 | 27.196 | 78.009 | ||
5 | Thums Up Cola Soft Drink (750 ml) - Pack of 4 | Thums Up | 482428 | 482428 | 139 | 160 | 13 | 4 x 750 ml | true | 41 | 4.4 | 5 | false | 44371 | 27.196 | 78.009 | ||
6 | Thums Up Soft Drink | Thums Up | 314 | 314 | 35 | 40 | 12 | 750 ml | true | 50 | 4.4 | 6 | false | 44371 | 27.196 | 78.009 | ||
7 | Sprite Lime Flavored Soft Drink | Sprite | 312 | 312 | 35 | 40 | 12 | 750 ml | true | 23 | 4.44 | 7 | false | 44371 | 27.196 | 78.009 | ||
8 | Coca-Cola Soft Drink (750 ml) - Pack of 4 | Coca-Cola | 536182 | 536182 | 139 | 160 | 13 | 4 x 750 ml | true | 3 | 4.46 | 8 | false | 44371 | 27.196 | 78.009 | ||
9 | Coca-Cola Soft Drink | Coca-Cola | 283 | 283 | 35 | 40 | 12 | 750 ml | true | 12 | 4.46 | 9 | false | 44371 | 27.196 | 78.009 | ||
10 | Thums Up Cola Soft Drink (2 l) | Thums Up | 61743 | 61743 | 81 | 85 | 5 | 2 ltr | true | 42 | 4.38 | 10 | false | 44371 | 27.196 | 78.009 |
Playground
Run this API
Advanced parameters are collapsed below.
Input Form
Fill in the fields below, then run.
0.1¢ per product
No row cap set
Select Category first
Select City first
Select Pincode first
Output limits
live
curl -X POST https://api.mindcase.co/v1/data/blinkit/category/run \
-H "Authorization: Bearer mk_live_YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"params": {
"category": "",
"sub_category": "",
"store_id": "",
"city": "",
"pincode": ""
}
}'Edit the form to update this live.
Overview
About Blinkit Category API
Blinkit Category extracts product listings from a specific category and sub-category on the Blinkit platform. It returns data points like Product Name, Brand, Price, MRP, Discount %, Pack Size, Rating, Stock, Rank, and Sponsored status for every item found in the category.
Retail analysts use Blinkit Category to monitor competitor pricing and inventory levels for a given store or set of coordinates. Category managers use it to benchmark their product assortments against quick commerce leaders.
Real-time dataSelf-servePay per resultZero setup time
Examples
Use cases
A few common ways teams put Blinkit Category API to work — copy a prompt below to try it yourself.
Competitor price monitoring
Track pricing changes for snacks across different store locations to maintain price parity.
Get all products from the Munchies category for Blinkit store 40144
Assortment benchmarking
Compare brand presence in a category at a specific store or set of coordinates to identify gaps.
Fetch products from the Dairy category for store 12543
Brand visibility analysis
Identify which brands dominate the top listings in a specific category to assess market share.
Find all products in the Cold Drinks category for store 22981
Regional inventory tracking
Extract product availability for a store or set of coordinates to map supply chain performance.
Get the first 5 pages of listings from the Personal Care category for store 33012
Get started
Ready to pull products?
Sign up to run live queries against Blinkit Category API via chat, form, or API.
FAQ
Frequently asked questions
- Does this agent include product reviews?
- Blinkit Category focuses on catalog data like price and brand. Use the Blinkit Reviews agent if you need customer feedback.
- How fresh is the data?
- Every request triggers a live fetch from the platform. There is no stale or cached data.
- How do I target a specific store?
- Each run takes a single category and sub-category plus a location, given either as a store or as latitude and longitude coordinates. Blinkit Category returns the listings for that store, so prices and stock match what shoppers in that area see.
- How do I integrate with Zapier, n8n, Google Sheets, or Airtable?
- Blinkit Category returns clean JSON and CSV output. Both formats work with every workflow tool. Pipe them in via a webhook step, file download, or by hitting the REST endpoint on a schedule. Same for Slack notifications, Notion databases, and other downstream systems.
- What fields are returned?
- The output includes Product Name, Brand, Price, MRP, Discount %, Pack Size, Rating, Stock, Category, Rank, Sponsored, Images, Description, Specifications, and Store ID, along with location coordinates.
Related