# ASDA UK Grocery Scraper (`illehius/asda-scraper`) Actor Scrapes product listings from groceries.asda.com — returns names, prices, unit prices, brands, and sizes for any search query. - **URL**: https://apify.com/illehius/asda-scraper.md - **Developed by:** [Siddhant](https://apify.com/illehius) (community) - **Categories:** Automation, E-commerce, Developer tools - **Stats:** 38 total users, 12 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 product 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 ## ASDA UK Grocery Scraper Scrape product listings from [groceries.asda.com](https://groceries.asda.com) by search query. Returns structured data for every product found — including name, brand, price, unit price, size, offer status, and direct product URL. ### Features - Search for any product by keyword (e.g. "beans", "semi skimmed milk", "pasta") - Multiple queries in a single run - Extracts prices via regex from Chakra UI dynamic markup - Unit pricing with normalised measures (per kg, per litre, etc.) - Brand detection including ASDA own-brand labels (ASDA, Just Essentials, Extra Special, Farm Stores, Smartprice) - Rollback and promotional offer detection - Configurable result limit per query ### Input | Field | Type | Description | Default | |-------|------|-------------|---------| | `queries` | string[] | List of search queries | *required* | | `maxResultsPerQuery` | integer | Max products per query (1-100) | 20 | #### Example input ```json { "queries": ["baked beans", "whole milk", "sourdough"], "maxResultsPerQuery": 10 } ```` ### Output Each result in the dataset contains: | Field | Type | Description | |-------|------|-------------| | `store` | string | Always `"asda"` | | `query` | string | The search query that produced this result | | `name` | string | Product name | | `brand` | string | Brand name (e.g. `"ASDA"`, `"Heinz"`) | | `price` | number | Current price in GBP | | `unitPrice` | number | Price per unit (e.g. per kg, per litre) | | `unitPriceMeasure` | string | Unit measure (e.g. `"per kg"`, `"per litre"`) | | `unitSize` | string | Product size (e.g. `"400g"`, `"1 litre"`) | | `onOffer` | boolean | Whether the product has a Rollback or promotional offer | | `offerDescription` | string | Offer details (e.g. Rollback text) | | `imageUrl` | string | Product image URL | | `productUrl` | string | Direct link to product page on groceries.asda.com | | `scrapedAt` | string | ISO 8601 timestamp | #### Example output ```json { "store": "asda", "query": "beans", "name": "ASDA Baked Beans in Tomato Sauce 410g", "brand": "ASDA", "price": 0.32, "unitPrice": 0.78, "unitPriceMeasure": "per kg", "unitSize": "410g", "onOffer": false, "offerDescription": null, "imageUrl": "https://ui.assets-asda.com/dm/asdagroceries/...", "productUrl": "https://groceries.asda.com/groceries/product/beans/asda-baked-beans-410g/12345", "scrapedAt": "2026-03-28T12:00:00.000Z" } ``` ### Use cases - **Price monitoring** — track ASDA prices over time and detect Rollback deals - **Basket comparison** — compare grocery costs across UK supermarkets - **Market research** — analyse competitive pricing and product ranges - **Deal alerts** — build notifications for Rollback and promotional offers - **Shopping apps** — power product search and comparison features ### Notes - ASDA uses Chakra UI with dynamically generated CSS classes — prices are extracted via regex rather than class selectors - Product IDs are extracted from URLs and `data-testid` attributes on favourite buttons - CSS classes may change when ASDA redeploys their site — if you notice missing data, please open an issue # Actor input Schema ## `queries` (type: `array`): List of product search queries (e.g. \["beans", "milk", "bread"]) ## `maxResultsPerQuery` (type: `integer`): Maximum number of products to return per search query ## Actor input object example ```json { "queries": [ "baked beans", "whole milk", "sourdough" ], "maxResultsPerQuery": 10 } ``` # Actor output Schema ## `products` (type: `string`): Dataset of scraped ASDA product listings — each row contains name, brand, price, unitPrice, unitPriceMeasure, unitSize, onOffer, offerDescription, imageUrl, productUrl, gtin, and scrapedAt. # 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 = { "queries": [ "baked beans", "whole milk", "sourdough" ], "maxResultsPerQuery": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("illehius/asda-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 = { "queries": [ "baked beans", "whole milk", "sourdough", ], "maxResultsPerQuery": 10, } # Run the Actor and wait for it to finish run = client.actor("illehius/asda-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 '{ "queries": [ "baked beans", "whole milk", "sourdough" ], "maxResultsPerQuery": 10 }' | apify call illehius/asda-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=illehius/asda-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "ASDA UK Grocery Scraper", "description": "Scrapes product listings from groceries.asda.com — returns names, prices, unit prices, brands, and sizes for any search query.", "version": "0.1", "x-build-id": "5vzCoG70w32TG8VD4" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/illehius~asda-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-illehius-asda-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/illehius~asda-scraper/runs": { "post": { "operationId": "runs-sync-illehius-asda-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/illehius~asda-scraper/run-sync": { "post": { "operationId": "run-sync-illehius-asda-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": [ "queries" ], "properties": { "queries": { "title": "Search Queries", "type": "array", "description": "List of product search queries (e.g. [\"beans\", \"milk\", \"bread\"])", "items": { "type": "string" } }, "maxResultsPerQuery": { "title": "Max Results Per Query", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of products to return per search query", "default": 20 } } }, "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 } } } } } } } } } } ```