# Blinkit Quick Commerce Scraper - Products & Prices (`fascinating_lentil/blinkit-quick-commerce-scraper`) Actor Collect public Blinkit product data by search and location, including prices, MRP, discounts, brands, pack sizes, stock, ratings, images, and product URLs. - **URL**: https://apify.com/fascinating\_lentil/blinkit-quick-commerce-scraper.md - **Developed by:** [Md Jakaria Mirza](https://apify.com/fascinating_lentil) (community) - **Categories:** E-commerce, Automation, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 product scrapeds This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Blinkit Quick Commerce Scraper - Products & Prices Collect location-specific Blinkit product catalog data for grocery research, price monitoring, assortment analysis, and retail intelligence. Search multiple keywords and export clean product records with prices, MRP, discounts, brands, pack sizes, inventory, ratings, images, and product URLs. Export to JSON, CSV, Excel, or HTML, or pull results through the Apify API. No Blinkit login or API key is required. ### What It Extracts - Product ID, merchant ID, product name, brand, and pack size - Current price, MRP, savings, discount percentage, and currency - Inventory, stock status, and merchant type - Rating, rating count, product image, and product URL - Search query, requested location label, result position, and scrape timestamp ### Use Cases - Monitor Blinkit grocery prices and promotions by delivery area - Compare brands, pack sizes, and discounts across product searches - Track local stock and quick-commerce assortment changes - Build retail intelligence, pricing dashboards, and market reports - Discover products for catalog enrichment and competitive research ### Pricing | Event | Price | 1,000 products | 10,000 products | | --- | ---: | ---: | ---: | | `product-scraped` | $0.003/product | $3.00 | $30.00 | You are charged only after a clean product record is saved. The Actor stops requesting more pages when the run's maximum charge is reached. ### Input | Field | Type | Description | | --- | --- | --- | | `searchQueries` | string[] | Blinkit searches such as `milk`, `rice`, or `shampoo` | | `locationName` | string | Human-readable location saved with each result | | `latitude` | number | Delivery-area latitude | | `longitude` | number | Delivery-area longitude | | `brands` | string[] | Optional exact brand filter | | `inStockOnly` | boolean | Save only available products | | `minPrice` / `maxPrice` | number | Optional INR price range | | `maxResults` | integer | Maximum unique products, up to 500 | | `maxPagesPerQuery` | integer | Maximum result payloads per query | | `proxyConfiguration` | object | India residential proxy configuration | ### How to Scrape Blinkit (Step by Step) 1. Add one or more product searches to `searchQueries`. 2. Enter a location label and its latitude and longitude. 3. Optionally filter by brand, stock status, or price range. 4. Set the maximum number of products and start the Actor. 5. Open the Dataset to export results or consume them through the API. ### Sample Output ```json { "source": "blinkit", "searchQuery": "milk", "locationName": "Mumbai", "position": 1, "productId": "19512", "merchantId": "31719", "productName": "Amul Taaza Toned Milk", "brand": "Amul", "packSize": "500 ml", "currentPrice": 30, "marketPrice": 30, "discountPercent": null, "savingsAmount": null, "currency": "INR", "inventory": 12, "inStock": true, "merchantType": "express", "rating": 4.62, "ratingCount": 830000, "ratingCountText": "8.3 lac", "imageUrl": "https://cdn.grofers.com/da/cms-assets/cms/product/example.png", "productUrl": "https://blinkit.com/prn/amul-taaza-toned-milk/prid/19512", "scrapedAt": "2026-06-13T08:30:00.000Z" } ```` ### How It Works The Actor opens Blinkit's public search interface in Chromium, applies the requested geolocation, and captures the site's structured search responses. It parses product records from those responses, removes duplicate product IDs, applies your filters, and saves each accepted record to the Dataset. ### Known Limits - Blinkit inventory and prices vary by delivery area and can change frequently. - Some products do not expose ratings, discounts, or exact inventory; those fields remain `null` rather than being fabricated. - Blinkit can change its public interface or protection rules. Residential proxy traffic is recommended. - Results represent public catalog information visible for the selected location at scrape time. ### Responsible Use Use this Actor only for lawful purposes and in compliance with applicable website terms, robots rules, privacy laws, and local regulations. Do not use it to collect or resell personal data. ### License Apache License 2.0. See [LICENSE](LICENSE). # Actor input Schema ## `searchQueries` (type: `array`): One or more Blinkit product searches. Duplicate product IDs are removed across all queries. ## `locationName` (type: `string`): Label saved with every result, such as Mumbai or Bengaluru. ## `latitude` (type: `number`): Delivery-area latitude used for Blinkit's location-specific catalog. ## `longitude` (type: `number`): Delivery-area longitude used for Blinkit's location-specific catalog. ## `brands` (type: `array`): Optional exact brand names. Matching is case-insensitive. ## `inStockOnly` (type: `boolean`): Exclude sold-out products. ## `minPrice` (type: `number`): Only save products at or above this price. ## `maxPrice` (type: `number`): Only save products at or below this price. ## `maxResults` (type: `integer`): Maximum unique products saved across the complete run. ## `maxPagesPerQuery` (type: `integer`): Maximum Blinkit result payloads processed for each search query. ## `proxyConfiguration` (type: `object`): India residential proxies are recommended for regional inventory and pricing. ## Actor input object example ```json { "searchQueries": [ "milk", "rice" ], "locationName": "Mumbai", "latitude": 19.076, "longitude": 72.8777, "brands": [], "inStockOnly": false, "minPrice": 0, "maxPrice": 1000000, "maxResults": 100, "maxPagesPerQuery": 10, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" } } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "searchQueries": [ "milk", "rice" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" } }; // Run the Actor and wait for it to finish const run = await client.actor("fascinating_lentil/blinkit-quick-commerce-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "searchQueries": [ "milk", "rice", ], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "IN", }, } # Run the Actor and wait for it to finish run = client.actor("fascinating_lentil/blinkit-quick-commerce-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "searchQueries": [ "milk", "rice" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" } }' | apify call fascinating_lentil/blinkit-quick-commerce-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=fascinating_lentil/blinkit-quick-commerce-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Blinkit Quick Commerce Scraper - Products & Prices", "description": "Collect public Blinkit product data by search and location, including prices, MRP, discounts, brands, pack sizes, stock, ratings, images, and product URLs.", "version": "1.0", "x-build-id": "WP2oOl25UjGcNu89E" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/fascinating_lentil~blinkit-quick-commerce-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-fascinating_lentil-blinkit-quick-commerce-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/fascinating_lentil~blinkit-quick-commerce-scraper/runs": { "post": { "operationId": "runs-sync-fascinating_lentil-blinkit-quick-commerce-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/fascinating_lentil~blinkit-quick-commerce-scraper/run-sync": { "post": { "operationId": "run-sync-fascinating_lentil-blinkit-quick-commerce-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "searchQueries": { "title": "Search queries", "type": "array", "description": "One or more Blinkit product searches. Duplicate product IDs are removed across all queries.", "default": [ "milk" ], "items": { "type": "string" } }, "locationName": { "title": "Location label", "type": "string", "description": "Label saved with every result, such as Mumbai or Bengaluru.", "default": "Mumbai" }, "latitude": { "title": "Latitude", "minimum": -90, "maximum": 90, "type": "number", "description": "Delivery-area latitude used for Blinkit's location-specific catalog.", "default": 19.076 }, "longitude": { "title": "Longitude", "minimum": -180, "maximum": 180, "type": "number", "description": "Delivery-area longitude used for Blinkit's location-specific catalog.", "default": 72.8777 }, "brands": { "title": "Brand filter", "type": "array", "description": "Optional exact brand names. Matching is case-insensitive.", "default": [], "items": { "type": "string" } }, "inStockOnly": { "title": "In-stock products only", "type": "boolean", "description": "Exclude sold-out products.", "default": false }, "minPrice": { "title": "Minimum price (INR)", "minimum": 0, "type": "number", "description": "Only save products at or above this price.", "default": 0 }, "maxPrice": { "title": "Maximum price (INR)", "minimum": 0, "type": "number", "description": "Only save products at or below this price.", "default": 1000000 }, "maxResults": { "title": "Maximum products", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum unique products saved across the complete run.", "default": 100 }, "maxPagesPerQuery": { "title": "Pages per query", "minimum": 1, "maximum": 40, "type": "integer", "description": "Maximum Blinkit result payloads processed for each search query.", "default": 10 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "India residential proxies are recommended for regional inventory and pricing.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" } } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```