# Blinkit Scraper (`elevated_allegory/apify-blinkit-scraper`) Actor Scrape Blinkit search results for any location and collect detailed product intelligence data including prices, discounts, delivery ETA, rankings, ratings, bestseller signals, and more. - **URL**: https://apify.com/elevated\_allegory/apify-blinkit-scraper.md - **Developed by:** [Bitwave Labs](https://apify.com/elevated_allegory) (community) - **Categories:** E-commerce - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 Product Listings Scraper — Apify Actor Scrapes product data from [Blinkit](https://blinkit.com) including name, brand, price, MRP, quantity, rating, availability, and image URL. Supports multi-keyword search and location-aware results. --- ### 📦 Output Fields Each record in the dataset contains: | Field | Description | |---|---| | `name` | Product name | | `brand` | Brand name | | `quantity` | Pack size / weight (e.g. "500ml", "1kg") | | `offerPrice` | Current selling price | | `mrp` | Maximum retail price (before discount) | | `rating` | Product rating if displayed | | `outOfStock` | `true` / `false` | | `category` | Category label (if shown) | | `image` | Product image URL | | `productUrl` | Direct link to product page | | `searchQuery` | The keyword used to find this product | | `location` | The delivery location label you set | | `scrapedAt` | ISO timestamp of when data was scraped | | `sourceUrl` | The search URL that was scraped | --- ### ⚙️ Input Configuration ```json { "searchQueries": ["milk", "eggs", "chips"], "maxProductsPerQuery": 40, "location": { "lat": 28.6139, "lng": 77.2090, "label": "New Delhi" }, "includeOutOfStock": false, "proxyConfig": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ```` #### Key inputs - **`searchQueries`** — Keywords to search (e.g. `["milk", "bread", "shampoo"]`) - **`maxProductsPerQuery`** — How many products per keyword (default: `40`, max: `200`) - **`location`** — Lat/lng of your target delivery area. Blinkit shows different products and availability per city. Find lat/lng via [latlong.net](https://www.latlong.net/). - **`includeOutOfStock`** — Set `true` to also save OOS products - **`proxyConfig`** — Residential proxies are strongly recommended; Blinkit blocks datacenter IPs #### Common location coordinates | City | lat | lng | |---|---|---| | New Delhi | 28.6139 | 77.2090 | | Mumbai | 19.0760 | 72.8777 | | Bengaluru | 12.9716 | 77.5946 | | Hyderabad | 17.3850 | 78.4867 | | Chennai | 13.0827 | 80.2707 | *** ### 🚀 Deployment #### Option A — Apify Console (recommended) 1. Go to [console.apify.com](https://console.apify.com) → **Actors** → **New Actor** 2. Choose "Empty template" and upload this folder, or paste `src/main.js` into the editor 3. Set the Dockerfile to the one provided 4. Fill in the Input form and click **Save & Run** #### Option B — Apify CLI ```bash ## Install CLI npm install -g apify-cli ## Login apify login ## Deploy from this directory apify push ``` #### Local development ```bash npm install apify run ## reads storage/key_value_stores/default/INPUT.json ``` *** ### ⚠️ Important Notes - **Proxies** — Blinkit aggressively blocks datacenter IPs. Residential proxies (`RESIDENTIAL` group) are required for reliable results. - **Location** — If no location is set or accepted by the site, Blinkit may show no products. The scraper injects lat/lng into `localStorage` before each page loads. - **Terms of Service** — Always ensure your usage complies with Blinkit's ToS and applicable data laws in your jurisdiction. - **Dynamic selectors** — Blinkit is a React app; class names may change. If scraping breaks, inspect the page in DevTools and update the CSS selectors in `src/main.js`. *** ### 🔧 Customising the Selectors If Blinkit updates its frontend, open `src/main.js` and update the `page.evaluate(...)` block: ```js const name = getText('[class*="ProductName"]'); // ← update this ``` Use Chrome DevTools → Inspect on a product card to find the new class pattern. # Actor input Schema ## `searchQueries` (type: `array`): List of search keywords ## `locations` (type: `array`): List of delivery locations ## `maxProductsPerQuery` (type: `integer`): Maximum products to scrape per keyword-location combination ## `includeOutOfStock` (type: `boolean`): Whether to include out of stock products ## Actor input object example ```json { "searchQueries": [ "milk", "bread" ], "locations": [ { "label": "Delhi", "lat": 28.61, "lng": 77.2 } ], "maxProductsPerQuery": 100, "includeOutOfStock": true } ``` # 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", "bread" ] }; // Run the Actor and wait for it to finish const run = await client.actor("elevated_allegory/apify-blinkit-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", "bread", ] } # Run the Actor and wait for it to finish run = client.actor("elevated_allegory/apify-blinkit-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", "bread" ] }' | apify call elevated_allegory/apify-blinkit-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=elevated_allegory/apify-blinkit-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Blinkit Scraper", "description": "Scrape Blinkit search results for any location and collect detailed product intelligence data including prices, discounts, delivery ETA, rankings, ratings, bestseller signals, and more.", "version": "0.0", "x-build-id": "HWVmsztHrFdf2SjLW" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/elevated_allegory~apify-blinkit-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-elevated_allegory-apify-blinkit-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/elevated_allegory~apify-blinkit-scraper/runs": { "post": { "operationId": "runs-sync-elevated_allegory-apify-blinkit-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/elevated_allegory~apify-blinkit-scraper/run-sync": { "post": { "operationId": "run-sync-elevated_allegory-apify-blinkit-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "searchQueries", "locations" ], "properties": { "searchQueries": { "title": "Search Keywords", "type": "array", "description": "List of search keywords", "items": { "type": "string" } }, "locations": { "title": "Locations", "type": "array", "description": "List of delivery locations", "default": [ { "label": "Delhi", "lat": 28.61, "lng": 77.2 } ] }, "maxProductsPerQuery": { "title": "Max Products Per Query Per Location", "type": "integer", "description": "Maximum products to scrape per keyword-location combination", "default": 100 }, "includeOutOfStock": { "title": "Include Out Of Stock Products", "type": "boolean", "description": "Whether to include out of stock products", "default": true } } }, "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 } } } } } } } } } } ```