Blinkit Product & Price Scraper — MRP, Discount & Stock

Collect grocery products from Blinkit (India's quick‑commerce app) as clean, structured data. Search by keyword for any Blinkit delivery city and get every product back with name, brand, price, MRP, discount, pack size, stock and rating — ready to export as JSON, CSV or Excel.

Built for price‑monitoring and e‑commerce teams, brands, market researchers, and data analysts who need live Blinkit catalog and pricing data by location.

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✨ Why use this scraper

• Full product records — name, brand, pack size, image and rating on every item.
• Real prices & discounts — current selling price, MRP and discount percentage, straight from Blinkit's store.
• Stock status — whether each product is in stock, per store.
• Per‑city pricing — Blinkit prices and availability are store‑specific; pick the delivery city (or exact coordinates) you care about.
• Multi‑city — scrape several cities in one run to compare prices across stores.
• Fast & cheap — pure API access, no slow browser, so runs are quick and low‑cost.
• Clean, typed output — prices as numbers, ready for spreadsheets, databases and BI tools.
• Export anywhere — JSON, CSV, Excel, HTML or via the Apify API and integrations.

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🚀 Quick start

1. Enter one or more search keywords (for example milk, chips).
2. Choose one or more delivery cities (Mumbai, Delhi, Bangalore …).
3. Set Maximum products and click Start.

Each product comes back as one clean record.

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📥 Input

Field	Type	Description
Search keywords (searchQueries)	array	Product terms to search.
Delivery cities (cities)	array	Cities whose store to scrape (per‑store prices/stock).
Latitude / Longitude (latitude, longitude)	string	Optional exact delivery coordinates (override cities).
Maximum products (maxItems)	integer	Cap across keywords and cities.
Max pages per keyword (maxPagesPerSearch)	integer	Result pages per keyword.
Proxy configuration (proxyConfiguration)	object	Residential India proxy (recommended).

Example — several products in Mumbai

{
  "searchQueries": ["milk", "chips", "chocolate"],
  "cities": ["mumbai"],
  "maxItems": 300
}

Example — compare two cities

{
  "searchQueries": ["atta", "oil"],
  "cities": ["mumbai", "delhi"],
  "maxItems": 500
}

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📤 Output

Each product is one dataset item. Example:

{
  "productId": "637875",
  "name": "Country Delight Cow Milk",
  "brand": "Country Delight",
  "packSize": "450 ml",
  "price": 46,
  "mrp": 48,
  "discountPercent": 4,
  "currency": "INR",
  "rating": 4.49,
  "inStock": true,
  "inventory": 2,
  "merchantType": "express",
  "merchantId": "41649",
  "eta": "earliest",
  "image": "https://cdn.grofers.com/da/cms-assets/cms/product/...",
  "productUrl": "https://blinkit.com/prn/x/prid/637875",
  "searchQuery": "milk",
  "city": "mumbai",
  "scrapedAt": "2026-09-01T10:00:00.000Z"
}

Field reference

Field	Description
productId	Blinkit product ID.
name, brand, packSize	Product name, brand and pack size.
price	Current selling price (INR).
mrp	Maximum retail price (INR).
discountPercent	Discount off MRP.
rating	Product rating.
inStock, inventory	Stock status and quantity.
merchantType, merchantId	Fulfilling store.
eta	Delivery ETA identifier.
image, productUrl	Product image and page.
city	The delivery city (per‑store).

Prices are per store. Blinkit prices, discounts and stock depend on the delivery location, so a product can differ between cities.

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💡 Use cases

• Price monitoring — track Blinkit prices, MRPs and discounts over time by scheduling the actor.
• Competitor & market research — compare pricing and assortment across cities and against other quick‑commerce apps.
• Brand & category analysis — see how a brand's products are priced, discounted and stocked.
• Availability tracking — monitor stock for specific products in specific cities.
• Data & analytics — build clean datasets of the Indian quick‑commerce catalog.

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🎯 Tips for best results

• Pick the right cities — prices and stock are store‑specific, so set the cities you want to monitor.
• Use several keywords to cover a category or a brand's range in one run.
• Compare cities — add multiple cities to see price/stock differences per store.
• Filter after export — pull broadly, then filter on discountPercent, inStock, brand or city.

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🔌 Run it your way

• Apify Console — enter keywords, pick cities and click Start.
• API — start runs and pull the dataset programmatically.
• Scheduler — refresh prices and stock on a schedule.
• Integrations — push results to Google Sheets, Zapier, Make, webhooks, S3 and more.

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❓ FAQ

Which country does Blinkit cover? Blinkit is an Indian quick‑commerce grocery service. This scraper works for its delivery cities.

Why do I choose a city? Blinkit prices, discounts and stock are per delivery store, so results are tied to a city/location.

Do I need an account or API key? No. Just enter keywords and pick cities.

Are MRP and discounts included? Yes — every product includes the current price, MRP and discount percentage.

Is stock information available? Yes — inStock and inventory reflect the selected store.

In what format is the data? Structured JSON by default, exportable to CSV, Excel, HTML and more.

Can I run it on a schedule? Yes — use the Apify Scheduler, or start runs through the Apify API and its integrations.

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⚖️ Legal & responsible use

This tool collects publicly available product and pricing information for legitimate business use such as price monitoring, market research and analysis. You are responsible for how you use the data and for complying with all applicable laws and regulations and the website's terms. Do not use the output to infringe intellectual‑property rights or for any unlawful purpose. This scraper is not affiliated with, endorsed by, or connected to Blinkit; all trademarks belong to their respective owners.

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Tags

blinkit · blinkit scraper · grofers · quick commerce · grocery scraper · india grocery · price monitoring · product scraper · mrp · grocery prices · ecommerce data · q-commerce · price tracking · product data · retail data