Blinkit Price Scraper

Extract product prices, names, discounts, and availability from Blinkit grocery delivery service. Perfect for price tracking, market research, and monitoring product availability across different locations.

Features

• Comprehensive Product Data — Extract product names, prices, discounts, images, and availability status
• Real-Time Pricing — Track current prices, original prices, and discount percentages
• Search-Based Scraping — Search for any product category (milk, vegetables, snacks, etc.)
• Production-Ready — Uses Playwright with stealth features for reliable data extraction
• Structured Output — Clean, organized product data ready for analysis and price comparison

Use Cases

Price Monitoring

Track price changes and discount patterns for grocery products on Blinkit.

Market Research

Analyze pricing strategies, discount trends, and product availability across categories.

Price Comparison

Build price comparison tools for grocery products across different delivery platforms.

Inventory Analysis

Monitor product availability and delivery times for supply chain insights.

Consumer Analytics

Gather pricing data for consumer behavior studies and shopping trend analysis.

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Input Parameters

Parameter	Type	Required	Default	Description
search_query	String	No	milk	Product search keyword(s) (e.g., milk, vegetables, snacks)
search_url	String	No	""	Full Blinkit search URL (overrides search_query)
results_wanted	Integer	No	20	Maximum number of products to collect (0 = unlimited)
proxyConfiguration	Object	No	Residential	Proxy settings for reliable scraping
setGeolocation	Boolean	No	true	Set a fixed geolocation to help Blinkit load products for a delivery area
latitude	Number	No	28.6139	Latitude used when setGeolocation is enabled
longitude	Number	No	77.2090	Longitude used when setGeolocation is enabled

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Data Extraction Methods

The scraper uses a multi-layered approach to ensure high data quality and reliability:

1. Preloaded State Extraction — Instantly captures data from window.grofers.PRELOADED_STATE before the page fully renders.
2. Direct API Capture — Intercepts JSON responses from Blinkit's internal search APIs.
3. Next.js Data — Extracts from __NEXT_DATA__ script tags if present.
4. Smart DOM Parsing — As a fallback, uses Playwright to parse the rendered HTML with redundant selectors.

This hybrid approach ensures high speed and resilience against UI changes.

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Output Data

Each product in the dataset contains:

Field	Type	Description
product_name	String	Name of the product
price	Number	Current price in INR (₹)
original_price	Number	Original price before discount (if applicable)
discount_percentage	String	Discount percentage (e.g., "8% OFF")
product_image	String	URL of the product image
availability	String	Stock status (In Stock, Out of Stock, Unknown)
delivery_time	String	Estimated delivery time (e.g., "13 MINS")
product_url	String	Product page URL (when available)
search_query	String	Search keyword used
url	String	Search URL
scrapedAt	String	Timestamp when data was scraped

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Usage Examples

Search for Milk Products

{
    "search_query": "milk",
    "results_wanted": 20,
    "setGeolocation": true,
    "latitude": 28.6139,
    "longitude": 77.209
}

Search via URL

{
    "search_url": "https://blinkit.com/s/?q=milk",
    "results_wanted": 20
}

Note: If search_url includes lat/lng (or latitude/longitude) query parameters, those values override latitude/longitude when setGeolocation is enabled.

Search for Vegetables

{
    "search_query": "vegetables",
    "results_wanted": 50
}

Unlimited Results

{
    "search_query": "snacks",
    "results_wanted": 0
}

Custom Proxy Configuration

{
    "search_query": "fruits",
    "results_wanted": 30,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": ["RESIDENTIAL"]
    }
}

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Sample Output

{
    "product_name": "Amul Taaza Toned Milk 500 ml",
    "price": 29,
    "original_price": null,
    "discount_percentage": null,
    "product_image": "https://cdn.grofers.com/cdn-cgi/image/f=auto,fit=scale-down,q=70,metadata=none,w=900/da/cms-assets/cms/product/5734b087-3ad9-485f-bbe2-52079cd9e35d.png",
    "availability": "In Stock",
    "delivery_time": "13 MINS",
    "search_query": "milk",
    "url": "https://blinkit.com/s/?q=milk",
    "scrapedAt": "2026-01-27T10:30:00.000Z"
}

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Tips for Best Results

Choose Specific Keywords

• Use specific product names for better results (e.g., "paneer" instead of "dairy")
• Try brand names for targeted scraping (e.g., "amul milk")
• Test different keywords to find optimal search terms

Optimize Result Limits

• Start with 20-50 products for testing
• Use 0 for unlimited to scrape all available products
• Consider rate limits and processing time for large scrapes

Use Residential Proxies

• Enable residential proxies for best reliability

Set a Delivery Location

• If you see empty results, enable setGeolocation and provide latitude/longitude for a delivery area

Use Proxies

• Residential proxies recommended for Blinkit
• Prevents IP blocks and rate limiting
• Ensures consistent data extraction

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Integrations

Connect your Blinkit pricing data with:

• Google Sheets — Export for price tracking and analysis
• Airtable — Build searchable product databases
• Slack — Get notifications on price changes
• Webhooks — Send data to custom applications
• Make — Create automated pricing workflows
• Zapier — Trigger actions based on price updates

Export Formats

Download data in multiple formats:

• JSON — For developers and API integrations
• CSV — For spreadsheet analysis and reporting
• Excel — For business intelligence dashboards
• XML — For system integrations and feeds

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Frequently Asked Questions

How many products can I scrape?

Set results_wanted to 0 for unlimited products, or specify a number. The limit depends on available products and your Apify plan.

What categories can I search?

You can search for any product category available on Blinkit: groceries, vegetables, fruits, dairy, snacks, beverages, etc.

Does the scraper work in all locations?

Blinkit serves specific delivery areas. Product availability and prices may vary by location detected by the platform.

How often should I run the scraper?

For price monitoring, run hourly or daily. For market research, weekly runs may suffice depending on your needs.

Can I track price changes over time?

Yes, run the scraper regularly and compare datasets to track pricing trends and discount patterns.

Is the data real-time?

Data reflects Blinkit.com at the time of scraping. Prices and availability update frequently, so run regularly for current data.

What proxy settings should I use?

Residential proxies provide the best reliability for Blinkit scraping. They're configured by default in the proxyConfiguration parameter.

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Support

For issues or feature requests, contact support through the Apify Console.

Resources

• Apify Documentation
• API Reference
• Scheduling Runs

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Legal Notice

This actor is designed for legitimate data collection purposes. Users are responsible for ensuring compliance with Blinkit's terms of service and applicable laws. Use data responsibly and respect rate limits.