Blinkit Scraper

Collect structured grocery product data from Blinkit product, search and category URLs. Very high data coverage: up to 28 fields are available for each product.

Issues and feature requests

If you encounter an issue or need a field added, open an issue on the Actor page or write to hello@123webdata.com.

For custom requirements, you can also reach out to us by filling this form.

Output Example (simplified)

The overview shows the most useful fields in a table. Product images are displayed as thumbnails when the website provides them.

Image	Product URL	Product ID	Product name	Current price	Regular price	Currency	In stock	Brand	Scraped at
	https://blinkit.com/prn/potato-aloo/prid/199435	199435	Potato (Aloo)	22	25	INR	true		2026-08-20T10:43:43.130Z

How to scrape supported list pages

This Actor accepts individual product links in productUrls. It accepts category pages and search result pages in categoryUrls.

1. Open a supported list page in your browser.
2. Choose a category and run a search you need.
3. Copy the final URL from the address bar and paste it into categoryUrls.

The Actor follows the products shown on that page.

Add one or more List URLs to scrape. categoryUrls is labelled List URLs in the Console and accepts category pages and search result pages.

Scrape Blinkit Search Pages

Pass a search results URL and the Actor collects the products that match your query. Example: https://blinkit.com/s/?q=Rolled+Oats

Scrape Blinkit Category Pages

Pass a category URL and the Actor collects every product listed in that category. Example: https://blinkit.com/cn/fruits-vegetables/cid/1487/1489

The scrapeProductDetails option (labelled Include product details) decides what each List URL produces. When it is enabled, the Actor visits each product page and returns the full detail records; when it is disabled, the Actor returns one list-level record per product card with the fields that are always included.

Features

• Scrapes detailed grocery product information from Blinkit product pages
• Accepts individual product URLs and category pages and search result pages
• Lets you limit the number of saved products and choose whether to continue through additional result pages
• Returns structured prices, stock status, ingredients, product images, and customer-visible attributes for viewing, export, and analysis

Pricing

This Actor uses pay-per-event pricing. Its running costs are included.

• Actor start: $0.03 once per run — One fixed charge for starting a run.
• Result: $0.00099 each ($0.99 per 1,000) — A product record collected directly from a supported list page.
• Product detail: $0.00399 each ($3.99 per 1,000) — A full product record collected from its product page.

The start charge applies once per run. Each saved product is charged either as a Result or a Product detail, never both.

Results in one run	Result	Product detail
100	$0.13	$0.43
1,000	$1.02	$4.02

Apify's Free plan currently includes $5 in monthly usage credits. If the full $5 is available for this Actor, one run covers about 5,020 Results or 1,245 Product details. Other Apify usage reduces the available credit.

Input

The Actor accepts the following input parameters:

Field	Type	Description
productUrls	array	Product URLs to scrape
categoryUrls	array	Supported list pages: category pages and search result pages
maxResultsPerScrape	integer	Maximum number of product records to save
usePagination	boolean	Whether to continue through additional result pages
scrapeProductDetails	boolean	If the Include product details option is enabled, the Actor visits each product page for the full detail record; if it is disabled, the Actor returns one list-level result record per product card. Both field lists are in "What data you get in each mode" below.

What data you get in each mode

Every saved product is stored as one record. scrapeProductDetails decides which mode you receive; the lists below name every field each mode can return. A field is empty when the website does not show that information.

Result

A list-level product record with 17 declared fields:

url, product_id, name, price, regular_price, currency, in_stock, sku, brand, weight, main_image, images, canonical_url, scraped_at, promotion_text, delivery_promise, option_count

Product detail

A full product record with 28 declared fields:

url, product_id, name, price, regular_price, currency, in_stock, sku, brand, category, breadcrumbs, main_image, images, description, description_html, weight, features, attributes, canonical_url, scraped_at, country_of_origin, food_license, ingredients, manufacturer, shelf_life, promotion_text, delivery_promise, option_count

Output Example (full)

The Actor stores one structured record per product. Card-only records contain only fields available on the list; detail-only fields are omitted.

{
  "attributes": {
    "Description": "Potatoes can be included in your daily meals. They are rich source of Carbohydrates.",
    "Unit": "1 kg",
    "Shelf Life": "3 days",
    "Storage Tips": "Store the potatoes unwashed unless they are needed. Keep in wire baskets at room temperature.",
    "Storage Temperature (degC)": "7-10 degC",
    "Disclaimer": "Every effort is made to maintain the accuracy of all information. However, actual product packaging and materials may contain more and/or different information. It is recommended not to solely rely on the information presented.",
    "Country of Origin": "India",
    "Customer Care Details": "Email: info@blinkit.com",
    "Return Policy": "The product is non-returnable. For a damaged, rotten or incorrect item, you can request a replacement within 48 hours of delivery.\nIn case of an incorrect item, you may raise a replacement or return request only if the item is sealed/ unopened/ unused and in original condition.",
    "Health Benefits": "Contains Vitamin C, Potassium, starch, .Potato helps in reducing inflammation, promote digestion and are good for skin., Supports Weight Loss"
  },
  "brand": null,
  "breadcrumbs": [],
  "canonical_url": "https://blinkit.com/prn/potato-aloo/prid/199435",
  "category": null,
  "country_of_origin": "India",
  "currency": "INR",
  "description": "Potatoes can be included in your daily meals. They are rich source of Carbohydrates.",
  "description_html": "<p>Potatoes can be included in your daily meals. They are rich source of Carbohydrates.</p>",
  "features": [],
  "food_license": null,
  "images": [
    "https://cdn.grofers.com/da/cms-assets/cms/product/rc-upload-1779767007480-819.jpg",
    "https://cdn.grofers.com/da/cms-assets/cms/product/5bf9c1cd-605e-48b8-9a99-962a9237d22c.jpg",
    "https://cdn.grofers.com/da/cms-assets/cms/product/0799b520-8e5b-4698-8cec-535da72d585a.jpg"
  ],
  "in_stock": true,
  "ingredients": null,
  "manufacturer": null,
  "name": "Potato (Aloo)",
  "price": 22,
  "product_id": "199435",
  "regular_price": 25,
  "shelf_life": "3 days",
  "sku": "199435",
  "url": "https://blinkit.com/prn/potato-aloo/prid/199435",
  "weight": "1 kg",
  "main_image": "https://cdn.grofers.com/da/cms-assets/cms/product/rc-upload-1779767007480-819.jpg",
  "scraped_at": "2026-08-20T10:43:43.130Z"
}

Use Cases

• Monitor grocery prices and availability
• Compare fresh-food assortments
• Build structured grocery research datasets

You might also like

• Our other e-commerce scrapers
• Our other grocery store scrapers
• Instacart Scraper
• Walmart Scraper
• Flipkart Scraper

Integrate with AI and automation

Use with AI through MCP

Connect your AI assistant to the Apify MCP server. It can discover and run Actors, then access the results in the same conversation. For example, ask your assistant to scrape a list of products from Blinkit, compare prices, or summarize the collected data.

Run on a schedule

After one successful run, use Apify Schedules to repeat the same task hourly, daily, weekly, or with a custom cron schedule. Saved tasks are useful when you want to keep the same URLs and settings for every run.

Connect with n8n

Create an n8n account and add the verified Apify node to a workflow. Choose Run an Actor and Get Dataset when the workflow should start this Actor, wait for completion, and receive the product rows for the next node. See the Apify integration for n8n.

Connect with Make

Create a Make account and add the Apify Run an Actor module. Follow it with Get Dataset Items to pass the product rows to Google Sheets, a database, email, or another Make module. For longer runs, use Watch Actor Runs followed by Get Dataset Items.

Read the Make integration guide.