# $0.9/1k Blinkit Category Products Scraper (`architjn/blinkit-category-scraper`) Actor Scrape Blinkit grocery category pages by URL. Export product prices, MRP, stock, ratings, and images for any delivery location in India (latitude/longitude). Built for price monitoring, assortment analysis, and market research. - **URL**: https://apify.com/architjn/blinkit-category-scraper.md - **Developed by:** [Archit Jain](https://apify.com/architjn) (community) - **Categories:** E-commerce, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.90 / 1,000 results 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 Category Products Scraper | Prices, MRP & Stock India Scrape product listings from [Blinkit](https://blinkit.com) **category pages** in India (not keyword search). Export prices, MRP, discounts, stock, ratings, and images for any delivery location using **latitude** and **longitude**. For keyword search, use the **Blinkit Search Scraper** actor instead. Prices and availability depend on **where you order from**. Set coordinates for the delivery area you care about (for example central Delhi or Koramangala, Bangalore). All categories in one run use the same location. ### Input | Field | Type | Required | Default | Description | |-------|------|----------|---------|-------------| | `categoryUrls` | array | Yes | Sample milk category | Full Blinkit category URLs with `/cid/{l0}/{l1}`. | | `latitude` | number | Yes | `28.6139` | Delivery latitude (decimal degrees, -90 to 90). | | `longitude` | number | Yes | `77.209` | Delivery longitude (decimal degrees, -180 to 180). | | `maxItems` | integer | No | `50` | Maximum total products saved across all categories. | | `maxItemsPerCategory` | integer | No | `50` | Maximum products per category (also limited by `maxItems`). | | `proxyConfiguration` | object | No | Residential proxy on | Apify residential proxy (recommended on Apify cloud). | #### Finding category URLs Open a **leaf** subcategory on Blinkit (one that shows a product grid) and copy the URL from your browser, for example: `https://blinkit.com/cn/milk/cid/14/922` The two numbers after `/cid/` are category IDs (`14` = top level, `922` = leaf). Parent categories that only show subcategory tiles may return few or no products. If a URL is wrong, the run **fails immediately** and the log shows the expected format and an example URL. ### Output After a successful run, open **Output** in the Apify Console: - **Product listings (table)** — quick overview of name, brand, price, MRP, stock, and links. - **Full dataset (JSON)** — every field for export or API use. Results are saved to the run **dataset**—one JSON object per product on the category page. | Field | Description | |-------|-------------| | `platform` | Always `blinkit`. | | `categoryL0`, `categoryL1` | Category IDs from your URL. | | `categoryName` | Display name of the category page when available. | | `categoryUrl` | Category page URL that was scraped. | | `rank` | Position on the listing (1 = first). | | `productId`, `variantId` | Blinkit product identifiers. | | `name`, `brand`, `quantity` | Product title, brand, and pack size. | | `price`, `mrp`, `currency` | Selling price and MRP in INR. | | `discountText` | Offer label on the card, if shown. | | `inStock`, `inventory` | Availability and stock when reported. | | `rating`, `ratingCount` | Customer rating and count label (e.g. `7.9 lac`). | | `merchantId`, `merchantType`, `eta` | Fulfilment and delivery hints when shown. | | `imageUrl`, `images` | Product image URL(s). | | `productUrl` | Link to the product on Blinkit. | | `latitude`, `longitude` | Coordinates used for this result. | | `scrapedAt` | ISO timestamp when the row was collected. | **Example dataset item** ```json { "platform": "blinkit", "categoryL0": "14", "categoryL1": "922", "categoryName": "Milk", "categoryUrl": "https://blinkit.com/cn/milk/cid/14/922", "rank": 1, "productId": "19512", "name": "Amul Taaza Toned Milk", "brand": "Amul", "quantity": "500 ml", "price": 30, "mrp": 30, "currency": "INR", "inStock": true, "rating": 4.6, "productUrl": "https://blinkit.com/prn/amul-taaza-toned-milk/prid/19512", "latitude": 28.6139, "longitude": 77.209, "scrapedAt": "2026-05-28T10:15:00.000Z" } ```` ### Pricing Structure **Pay per usage** — you are charged for Apify compute (runtime, memory) for each run. Residential proxy is used by default on Apify cloud for reliable access to Blinkit. ### Examples #### Example 1: Milk category in Delhi **Input** ```json { "categoryUrls": ["https://blinkit.com/cn/milk/cid/14/922"], "latitude": 28.6139, "longitude": 77.209, "maxItems": 30 } ``` **Output:** Up to 30 products from the Milk category, ordered as on Blinkit for that location, with prices and stock for each row. #### Example 2: Multiple categories, same location **Input** ```json { "categoryUrls": [ "https://blinkit.com/cn/milk/cid/14/922", "https://blinkit.com/cn/bread-pav/cid/14/28" ], "latitude": 19.076, "longitude": 72.8777, "maxItems": 100, "maxItemsPerCategory": 50 } ``` **Output:** Products from both categories for Mumbai coordinates, capped at 50 per category and 100 total. #### Example 3: Invalid URL (run fails) **Input:** `https://blinkit.com/cn/milk` (missing `/cid/{l0}/{l1}`) **Output:** Run fails with a message showing the correct URL format and example: `https://blinkit.com/cn/milk/cid/14/922` ### Best Practices 1. Use **leaf** category URLs that display products, not only subcategory navigation. 2. Set **latitude and longitude** for the delivery pin you care about—prices and stock change by area. 3. Start with `maxItems: 10` to check output and cost before large runs. 4. One location per run—all `categoryUrls` share the same coordinates. 5. For search by keyword (e.g. “amul butter”), use the **Blinkit Search Scraper** actor instead of this one. # Actor input Schema ## `categoryUrls` (type: `array`): Blinkit category page URLs containing /cid/{l0}/{l1} (e.g. https://blinkit.com/cn/milk/cid/14/922). Use leaf categories that show products. ## `latitude` (type: `number`): Delivery location latitude (decimal degrees). ## `longitude` (type: `number`): Delivery location longitude (decimal degrees). ## `maxItems` (type: `integer`): Maximum total products in the dataset across all categories. ## `maxItemsPerCategory` (type: `integer`): Maximum products per category (also capped by max dataset items). ## `proxyConfiguration` (type: `object`): Apify residential proxy (enabled by default; required for Blinkit on Apify cloud). ## Actor input object example ```json { "categoryUrls": [ "https://blinkit.com/cn/milk/cid/14/922" ], "latitude": 28.6139, "longitude": 77.209, "maxItems": 50, "maxItemsPerCategory": 50, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `products` (type: `string`): Browse category products with price, MRP, pack size, stock, ratings, and product links. ## `dataset` (type: `string`): All product records from this run in JSON format. # 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 = { "categoryUrls": [ "https://blinkit.com/cn/milk/cid/14/922" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("architjn/blinkit-category-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 = { "categoryUrls": ["https://blinkit.com/cn/milk/cid/14/922"], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("architjn/blinkit-category-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 '{ "categoryUrls": [ "https://blinkit.com/cn/milk/cid/14/922" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call architjn/blinkit-category-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=architjn/blinkit-category-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "$0.9/1k Blinkit Category Products Scraper", "description": "Scrape Blinkit grocery category pages by URL. Export product prices, MRP, stock, ratings, and images for any delivery location in India (latitude/longitude). Built for price monitoring, assortment analysis, and market research.", "version": "0.3", "x-build-id": "mNHzoHvuIZuVaJrCi" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/architjn~blinkit-category-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-architjn-blinkit-category-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/architjn~blinkit-category-scraper/runs": { "post": { "operationId": "runs-sync-architjn-blinkit-category-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/architjn~blinkit-category-scraper/run-sync": { "post": { "operationId": "run-sync-architjn-blinkit-category-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", "required": [ "categoryUrls", "latitude", "longitude" ], "properties": { "categoryUrls": { "title": "Category URLs", "minItems": 1, "type": "array", "description": "Blinkit category page URLs containing /cid/{l0}/{l1} (e.g. https://blinkit.com/cn/milk/cid/14/922). Use leaf categories that show products.", "default": [ "https://blinkit.com/cn/milk/cid/14/922" ], "items": { "type": "string" } }, "latitude": { "title": "Latitude", "type": "number", "description": "Delivery location latitude (decimal degrees).", "default": 28.6139 }, "longitude": { "title": "Longitude", "type": "number", "description": "Delivery location longitude (decimal degrees).", "default": 77.209 }, "maxItems": { "title": "Max dataset items", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum total products in the dataset across all categories.", "default": 50 }, "maxItemsPerCategory": { "title": "Max items per category", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum products per category (also capped by max dataset items).", "default": 50 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Apify residential proxy (enabled by default; required for Blinkit on Apify cloud).", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```