Scrape Blinkit product availability & prices, in real time
Get live product availability, MRP, selling price, offers, and store‑level stock from Blinkit – across 1,500+ cities – without managing proxies, CAPTCHAs, or location‑based routing yourself.
1.2s response time
20% off + free delivery
Trusted data from leading platforms
A scraper built for the dynamic world of quick‑commerce
Blinkit’s inventory and pricing change rapidly – sometimes by the minute. Manually tracking product availability, price drops, and offers across thousands of SKUs and locations is nearly impossible. Most teams resort to periodic screen‑scraping that breaks as soon as the UI changes.
The Blinkit Scraper handles that at scale. Send a product name, category, or barcode, and we return current price, MRP, availability, discount, and delivery slot information – with location‑specific accuracy. We manage the proxies, headless browsers, and CAPTCHAs so you can focus on pricing strategies and stock optimisation.
- Query by product name, category, or barcode
- Automatic proxy rotation and CAPTCHA solving
- Median response time under 1.5 seconds
- Supports all 1,500+ Blinkit‑served cities
- Output as JSON, CSV, or Excel – same schema, any format
This is roughly what calling the scraper looks like
A single POST request in, a structured response out – no separate rendering or proxy configuration required.
"product_name": "Amul Butter 500g",
"category": "Dairy",
"mrp": 55.00,
"selling_price": 49.50,
"discount": "10%",
"availability": "In stock",
"delivery_slot": "Today, 10-11 AM",
"store_location": "Mumbai, 400001"
}
From request to structured response
Send a request
Query by product name, category, barcode, and optionally a pincode or city for location‑specific data.
We render & collect
The request routes through proxies and renders Blinkit’s dynamic UI to capture live data.
Parsing & validation
Price, MRP, discount, availability, and delivery slot are extracted and validated.
Structured response
You get JSON back instantly, or export as CSV or Excel for bulk and offline use.
What makes this reliable against Blinkit's dynamic UI
Engineered for Blinkit's anti‑scraping
We handle Blinkit’s fingerprinting, rate‑limiting, and changing markup – our scrapers adapt to their updates within hours.
Real‑time, not batch
Get data in under 1.5 seconds – ideal for live price monitoring, dynamic pricing, and inventory alerts.
One schema, three formats
JSON for integration, CSV/Excel for spreadsheets – the same field names across all outputs.
Location‑specific precision
Query by pincode or city – get availability and pricing that reflects actual local store stock.
Scales from 10 to 10M requests
Whether you're monitoring a single product or tracking thousands of SKUs daily, the same API and pricing model works.
Real support, not a bot
Integration questions are answered by engineers who know the nuance of quick‑commerce data.
The same fields, whichever format you need
"product_name": "Amul Butter 500g",
"category": "Dairy",
"mrp": 55.00,
"selling_price": 49.50,
"discount": "10%",
"availability": "In stock",
"delivery_slot": "Today, 10-11 AM"
}
| product_name | category | mrp | selling_price | discount | availability |
|---|---|---|---|---|---|
| Amul Butter 500g | Dairy | 55.00 | 49.50 | 10% | In stock |
| Britannia Marie Gold 200g | Bakery | 45.00 | 40.50 | 10% | Out of stock |
| Maggi Noodles 2-Minute | Instant Food | 15.00 | 12.75 | 15% | In stock |
| A · product_name | B · category | C · mrp | D · selling_price | E · availability | |
|---|---|---|---|---|---|
| 1 | Amul Butter 500g | Dairy | 55.00 | 49.50 | In stock |
| 2 | Britannia Marie Gold 200g | Bakery | 45.00 | 40.50 | Out of stock |
| 3 | Maggi Noodles 2-Minute | Instant Food | 15.00 | 12.75 | In stock |
Fields, limits, and what to expect at scale
| Field | Description | Type |
|---|---|---|
| product_name | Full product name as listed | Core |
| category | Category of the product | Core |
| mrp | Maximum retail price | Pricing |
| selling_price | Current selling price (including offers) | Pricing |
| discount | Percentage discount if any | Pricing |
| availability | In stock, out of stock, or limited | Core |
| delivery_slot | Earliest available delivery slot | Optional |
| store_location | City or pincode used for lookup | Core |
Typical performance at a glance
Billed on successful requests, not seats
Every plan includes JSON, CSV, and Excel output, plus a 14‑day trial.
Starter
For testing the scraper against your own products.
- Up to 10 cities
- JSON, CSV & Excel export
- Email support
Growth
For production use across multiple cities.
- All cities & pin codes
- 50 concurrent requests
- Chat & email support, <4h
Scale
High‑volume monitoring of thousands of SKUs.
- All cities + additional location data
- 150 concurrent requests
- 99.9% uptime SLA
Enterprise
Custom volume, concurrency, and SLA terms.
- 99.95% uptime SLA
- Dedicated account manager
- Custom fields on request
Fits into whatever you're already building
Blinkit Scraper vs. the Quick‑Commerce Dataset
| Capability | Blinkit Scraper (this page) | Quick‑Commerce Dataset |
|---|---|---|
| Best for | Real‑time, on‑demand product lookups | Bulk analysis & historical trends |
| Response time | < 1.5 seconds | Scheduled delivery |
| Query by single product name or barcode | ||
| Bulk coverage (millions of SKUs) | ||
| JSON / CSV / Excel output |
Teams that stopped wrestling with Blinkit's dynamic content
"We use it to monitor competitor prices on Blinkit. It's fast, reliable, and we haven't had a single block since we started."
"The location‑specific data is a game‑changer. We can now optimise our inventory based on actual city‑level stock availability."
"Excel export for our finance team, API for the dashboard – one source of truth that updates in real time."
Questions about the Blinkit Scraper
Try it against your own Blinkit products
Send us a few product names or categories – we'll show you a live response in JSON, CSV, or Excel before you commit to anything.
Most integrations are running within a day.
