Blinkit price monitoring

Blinkit price monitoring for brands, one pincode at a time

Blinkit prices your SKU from the dark store behind each pincode. PriceIntel AI reads every Blinkit listing you track in every pincode you choose, compares it with your MOP floor, and keeps a saved copy of the page as proof.

  • Price per pincode
  • MOP breaches with proof
  • Stock and serviceability
PriceIntel AI dashboard with one tile per platform, including Blinkit, showing listings below the MOP floor and the lowest price on that shelf

Selling priceAnd printed MRP

StockIn, out, not serviceable

PincodeUp to 10 per SKU

MOP floorBreach opened and closed

Why pincode-level

The breach is usually in one city, not everywhere

In the grid on the right, Blinkit sells the same 5 kg rice at ₹690 in 110001, under a ₹699 floor, while 400001 and 560001 are at ₹705 and above it. A nationwide check would have reported the SKU as fine.

Platform Intelligence reads each pincode separately and lays them out in one grid for the SKU, with red cells where the price is below your MOP and the lowest price in each pincode marked green.

Price by pincode grid for one SKU showing the Blinkit cell at ₹690 below a ₹699 MOP floor in pincode 110001 while other pincodes are above the floor

Screens from a demo account with a fictional brand. These are real product screens, not mock-ups.

What we read

Every Blinkit listing, the way a shopper in that pincode sees it

Selling price and MRP

The live price, the printed maximum retail price and the discount the platform is showing against it.

Stock and serviceability

In stock, out of stock, or not serviceable when the store for that pincode does not deliver the item. Those are different signals and are kept apart.

Price versus your floor

Each read is compared with the MOP you set. Below the floor opens a violation; back above it closes one. The clock runs in between.

Proof of the read

A saved copy of the exact page the price came from, linked from the listing, the violation and the export.

MOP violations list filtered to open breaches, each with platform, pincode, latest price versus MOP, percentage below, duration and Proof link

MOP violations on Blinkit

Which SKU, which pincode, since when

Each Blinkit listing is compared with the floor you set for that SKU. The first read below it opens a violation with the price, the pincode and the time; the first read back at or above it closes the violation. The list keeps the clock running and names the repeat offenders, so the conversation with the platform starts from how deep and how long, not from a screenshot.

  • Filter the violations page to Blinkit with one click
  • MOP violation and MOP resolved alerts are always on
  • Export the period with proof links for the platform team

How it works

From a spreadsheet of links to a watched shelf

  1. 01

    Add your Blinkit links

    Paste the product link, type the pincodes to watch and set the floor. Or upload a CSV with one row per SKU; existing products are found by SKU and extended, never duplicated.

  2. 02

    Reads run on your schedule

    Typically twice a day, up to six times a day. Admins can refresh one product on demand. Scrape health shows the success rate of every pass against a 90% target.

  3. 03

    Act on the digest

    One email per read, breaches first, with a spreadsheet attached. Or pull the data into Power BI with a read-only key, or receive signed webhooks.

FAQ

Blinkit price monitoring FAQs

See it with your SKUs

See your Blinkit prices by pincode this week

Send us ten SKUs and the pincodes you care about. We set them up and walk you through the first read.