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Blinkit Search Results Scraper

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Blinkit Search Results Scraper

Blinkit Search Results Scraper

πŸ›’ Collect Blinkit product data across multiple locations and keywords with real-time delivery ETA. πŸ“Š Includes prices, stock status, ratings, merchant info, and images. ⚑ Ready for analytics, dashboards, and automation. Export to JSON, CSV, or Excel.

Pricing

Pay per event

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Krazee

Krazee

Maintained by Community

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10

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3 days ago

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πŸ›’ Blinkit Product Data Scraper – Search Results, Prices, Availability & Delivery ETA

Collect live Blinkit product listings exactly as customers see them, including real-time delivery ETA, pricing, availability, ratings, and images.

Run searches across multiple locations and keywords to capture Blinkit product data as it appears to users in different cities and neighborhoods.

The scraper automatically collects and structures Blinkit search results, making it easy to access Blinkit product data for pricing intelligence, quick-commerce research, dashboards, and automation workflows.

πŸ“š Table of Contents


πŸ€” What Does This Blinkit Scraper Do?

Think of this as a smart Blinkit shopper that can search across multiple locations and keywords automatically.

For each location you provide, the scraper:

  • πŸ“ Sets the delivery coordinates and fetches live ETA data from nearby Blinkit stores

  • πŸ” Runs your search keywords exactly like a real user would on Blinkit

  • πŸ›’ Collects product listings exactly as shown in the Blinkit app

  • πŸ“¦ Converts the results into clean, structured data ready for analysis

This allows you to collect product data across different cities, neighborhoods, and search queries in a single run.


🎯 Who Uses Blinkit Product Data?

This scraper is designed for anyone who needs structured Blinkit product data across locations and search queries.

It is especially useful for:

  • πŸ“Š Market & Pricing Researchers
    Compare product pricing, availability, and delivery speeds across cities and neighborhoods.

  • πŸ›’ Quick-commerce & Retail Teams
    Monitor how products appear on Blinkit search results across different locations.

  • πŸ“ˆ Data Analysts & BI Teams
    Build dashboards tracking pricing trends, stock availability, and delivery performance.

  • πŸ€– Automation & Data Pipelines
    Feed structured Blinkit datasets into internal tools, analytics platforms, or machine learning workflows.

  • 🧠 Anyone Tracking Blinkit Product Visibility
    Understand how products appear in search results and how availability varies by location.


⬇️ What You Need to Provide

  • πŸ”Ž Search Queries Keywords you would normally type into Blinkit (e.g. milk, snacks, personal care)

  • πŸ”’ Products Limit (per query) How many products to collect for each search term

  • πŸ“ Locations
    Provide one or more delivery locations where Blinkit should simulate a customer.
    For each location, the scraper fetches live ETA, product availability, and search results exactly as they would appear to users in that area.


πŸ§ͺ Example Input

Here is a sample JSON input you can provide when running the scraper:

{
"locations": [
"Delhi",
"Mumbai"
],
"productsLimit": 30,
"searchQueries": [
"chocolate",
"biscuits",
"milk"
]
}

πŸ“¦ Blinkit Product Data You Will Get

Each product record contains structured data collected from Blinkit search results.

  • 🏷 Product Details – product ID, name, variant, and brand

  • πŸ’° Pricing Information – MRP, selling price, and active offer text

  • 🚚 Delivery Intelligence – delivery ETA (in minutes) based on the selected location

  • πŸ“ Location Context – location name along with latitude and longitude used for the search

  • 🏬 Store Information – merchant ID and merchant type serving the product

  • πŸ“¦ Inventory Status – current stock count and out-of-stock indicator

  • ⭐ Customer Ratings – product rating value when available

  • πŸ–Ό Product Images – all available product image URLs

  • ⏱ Data Timestamp – ISO timestamp indicating when the data was collected


πŸ“€ Example Output (JSON)

{
"product_id": "709802",
"name": "Right Shift Jaggery Atta Cookies (No Maida/ No Palm Oil)",
"variant": "120 g",
"brand": "Right Shift",
"mrp": 90,
"price": 81,
"offer_text": "10% OFF",
"out_of_stock": false,
"inventory": 1,
"merchant_id": "37070",
"merchant_type": "express",
"rating_value": 4.66,
"images": [
"https://cdn.grofers.com/da/cms-assets/cms/product/rc-upload-1772432009525-497.png",
"https://cdn.grofers.com/da/cms-assets/cms/product/rc-upload-1772432009525-475.png",
"https://cdn.grofers.com/da/cms-assets/cms/product/rc-upload-1772432009525-473.png",
"https://cdn.grofers.com/da/cms-assets/cms/product/rc-upload-1772432009525-471.png",
"https://cdn.grofers.com/da/cms-assets/cms/product/rc-upload-1772432009525-495.png",
"https://cdn.grofers.com/da/cms-assets/cms/product/rc-upload-1772432009525-493.png",
"https://cdn.grofers.com/da/cms-assets/cms/product/rc-upload-1772432009525-491.png",
"https://cdn.grofers.com/da/cms-assets/cms/product/rc-upload-1772432009525-489.png",
"https://cdn.grofers.com/da/cms-assets/cms/product/rc-upload-1772432009525-487.png",
"https://cdn.grofers.com/da/cms-assets/cms/product/rc-upload-1772432009525-485.png",
"https://cdn.grofers.com/da/cms-assets/cms/product/rc-upload-1772432009525-483.png",
"https://cdn.grofers.com/da/cms-assets/cms/product/rc-upload-1772432009525-481.png",
"https://cdn.grofers.com/da/cms-assets/cms/product/rc-upload-1772432009525-479.png",
"https://cdn.grofers.com/da/cms-assets/cms/product/rc-upload-1772432009525-477.png"
],
"eta_in_minutes": 10,
"timestamp": "2026-03-06T10:14:12.368Z",
"location": "Mumbai Central",
"longitude": 72.8205292,
"latitude": 18.9690247
},

πŸ”’ Reliability & Stability

  • πŸ” Automatic retries for temporary failures

  • πŸ”„ Rotating sessions to avoid blocks

  • ⚑ Optimized for high-speed, multi-query runs

πŸ’‘ What this means for you: Occasional warnings are normal β€” the scraper keeps working until data is collected or retries are exhausted.


❓ FAQ

Can I scrape Blinkit product data for multiple locations?

Yes.

You can provide multiple locations in the input. The scraper will run the search queries for each location and collect product listings as they appear to users in that area.

Because Blinkit inventory and delivery times depend on nearby warehouses, results may vary between locations.

Can I scrape multiple search queries in the same run?

Yes.

You can provide multiple search queries in the input configuration. The scraper will execute each query and collect product listings up to the specified limit for every location.

Will delivery ETA be included in the dataset?

Yes.

Each product record includes the latest delivery ETA for the selected location at the time of the search. This allows you to analyze delivery performance alongside pricing and availability.

How many locations can I run in a single run?

There is no fixed limit.

You can include as many locations as needed in the input. For very large inputs, it is recommended to monitor the run and ensure your configuration allows enough time for completion.

This tool collects publicly accessible product listings from Blinkit search results. It does not bypass authentication or access private user data.

However, users are responsible for ensuring their usage complies with Blinkit's terms of service and applicable laws in their jurisdiction.

Can the collected data be used in dashboards or analytics pipelines?

Yes.

The output is a structured dataset containing product details, pricing, availability, delivery ETA, and images. The dataset can be downloaded or accessed programmatically through the Apify API and integrated into analytics tools, dashboards, or automation workflows.