# Albert Heijn API (`harvestedge/albert-heijn-api`) Actor Scrapes Albert Heijn products via the official mobile API and outputs fully structured product metadata. Ideal for price comparison and market research. - **URL**: https://apify.com/harvestedge/albert-heijn-api.md - **Developed by:** [Harvest Edge](https://apify.com/harvestedge) (community) - **Categories:** Automation, E-commerce, Lead generation - **Stats:** 41 total users, 5 monthly users, 100.0% runs succeeded, 2 bookmarks - **User rating**: No ratings yet ## Pricing $5.00 / 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 ๐ŸŒฝ๐ŸŒฝ๐ŸŒฝ๐ŸŒฝ๐ŸŒฝ๐ŸŒฝ๐ŸŒฝ๐ŸŒฝ๐ŸŒฝ๐ŸŒฝ๐ŸŒฝ๐ŸŒฝ๐ŸŒฝ๐ŸŒฝ๐ŸŒฝ๐ŸŒฝ๐ŸŒฝ๐ŸŒฝ๐ŸŒฝ๐ŸŒฝ๐ŸŒฝ๐ŸŒฝ๐Ÿšœ ๐ŸŒฝ๐ŸŒฝ๐ŸŒฝ๐ŸŒฝ๐ŸŒฝ๐ŸŒฝ๐ŸŒฝ๐ŸŒฝ๐ŸŒฝ๐ŸŒฝ๐ŸŒฝ๐ŸŒฝ๐ŸŒฝ๐ŸŒฝ๐ŸŒฝ๐ŸŒฝ๐ŸŒฝ๐ŸŒฝ๐ŸŒฝ๐ŸŒฝ๐ŸŒฝ๐ŸŒฝ๐ŸŒฝ ## Harvest Edge / Albert Heijn Product Scraper ๐ŸŒฑ๐ŸŒฑ๐ŸŒฑ๐ŸŒฑ๐ŸŒฑ๐ŸŒฑ๐ŸŒฑ๐ŸŒฑ๐ŸŒฑ๐ŸŒฑ๐ŸŒฑ๐ŸŒฑ๐ŸŒฑ๐ŸŒฑ๐ŸŒฑ๐ŸŒฑ๐ŸŒฑ๐ŸŒฑ๐ŸŒฑ๐ŸŒฑ๐ŸŒฑ๐ŸŒฑ๐ŸŒฑ ๐ŸŒฝ๐ŸŒฝ๐ŸŒฝ๐ŸŒฝ๐Ÿ†๐ŸŒฝ๐ŸŒฝ๐ŸŒฝ๐ŸŒฝ๐ŸŒฝ๐ŸŒฝ๐ŸŒฝ๐Ÿšœ๐ŸŒฑ๐ŸŒฑ๐ŸŒฑ๐ŸŒฑ๐ŸŒฑ๐ŸŒฑ๐ŸŒฑ๐ŸŒฑ๐ŸŒฑ๐ŸŒฑ Harvest Edge makes business information available to everyone! --- ### Overview The **Albert Heijn API Scraper** extracts structured product data directly from the official Albert Heijn mobile API based on user-defined search keyterms. It is designed for **price comparison, market research, FMCG analytics, and assortment monitoring**. The actor retrieves rich metadata including prices, bonus information, categories, nutrition scores, and availability flags. All data is stored in a clean Apify dataset with a ready-to-use table view. **Keywords:** Nederland, Holland, Supermarkt, Albert Heijn, Groceries, FMCG, Pricing Intelligence, Food Retail For feature requests or bug reports, feel free to contact us via Apify. --- ### Features - ๐Ÿ” Search Albert Heijn products using **multiple keyterms** - ๐Ÿ’ถ Extract full pricing data including: - Current price - Previous price - Bonus & discount flags - ๐Ÿงพ Rich product metadata: - Brand - Categories - Unit size & unit price description - Nutri-Score - ๐Ÿ“ฆ Supports large-scale scraping with configurable limits - ๐Ÿ“Š Clean dataset with a predefined table view - โš™๏ธ Uses the official AH mobile API (fast & reliable) --- ### Input The Actor accepts the following input parameters via the Apify platform: | Key | Type | Description | Default | Required | |--------------|---------|--------------------------------------------------------------------|----------------------------|----------| | `keyterms` | Array | Keywords to search for products (each searched independently). | ["melk", "eieren"] | Yes | | `maxResults` | Integer | Maximum number of products to fetch per search keyword. | 2000 | No | | `pageSize` | Integer | Number of products requested per API page (1โ€“100). | 30 | No | --- ### Output The Actor outputs a dataset in JSON format. Each item represents a single Albert Heijn product. #### Output Fields | Field | Type | Description | |-------------------------|---------|-------------| | `query` | String | Search keyword used | | `supermarket` | String | Supermarket name (`Albert Heijn`) | | `title` | String | Product name | | `brand` | String | Brand name | | `currentPrice` | Number | Current product price (โ‚ฌ) | | `priceBeforeBonus` | Number | Previous price before discount | | `isBonus` | Boolean | Whether the product is on bonus | | `salesUnitSize` | String | Product unit size (e.g. 1 l, 500 g) | | `unitPriceDescription` | String | Unit price description | | `mainCategory` | String | Main category | | `subCategory` | String | Subcategory | | `webshopId` | String | Albert Heijn webshop ID | | `nutriscore` | String | Nutri-Score label | | `scrape_timestamp` | String | UTC timestamp of scraping | --- ### Example Output ```json { "query": "melk", "supermarket": "Albert Heijn", "title": "AH Volle Melk", "brand": "AH", "currentPrice": 1.09, "priceBeforeBonus": 1.19, "isBonus": true, "salesUnitSize": "1 l", "unitPriceDescription": "โ‚ฌ1.09 / l", "mainCategory": "Zuivel, eieren", "subCategory": "Melk", "webshopId": "123456", "nutriscore": "B", "scrape_timestamp": "2025-12-14 16:45:00" } # Actor input Schema ## `keyterms` (type: `array`): Keywords to search for Albert Heijn products. Each keyword is searched independently. ## `maxResults` (type: `integer`): Maximum number of products to fetch per search keyword. ## `pageSize` (type: `integer`): Number of products requested per API page. ## Actor input object example ```json { "keyterms": [ "melk", "eieren" ], "maxResults": 2000, "pageSize": 30 } ```` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("harvestedge/albert-heijn-api").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 = {} # Run the Actor and wait for it to finish run = client.actor("harvestedge/albert-heijn-api").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call harvestedge/albert-heijn-api --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=harvestedge/albert-heijn-api", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Albert Heijn API", "description": "Scrapes Albert Heijn products via the official mobile API and outputs fully structured product metadata. Ideal for price comparison and market research.", "version": "0.0", "x-build-id": "JaBQkpRkCps5zB6wX" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/harvestedge~albert-heijn-api/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-harvestedge-albert-heijn-api", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/harvestedge~albert-heijn-api/runs": { "post": { "operationId": "runs-sync-harvestedge-albert-heijn-api", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/harvestedge~albert-heijn-api/run-sync": { "post": { "operationId": "run-sync-harvestedge-albert-heijn-api", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "keyterms" ], "properties": { "keyterms": { "title": "Search Keyterms", "minItems": 1, "type": "array", "description": "Keywords to search for Albert Heijn products. Each keyword is searched independently.", "items": { "type": "string" }, "default": [ "melk", "eieren" ] }, "maxResults": { "title": "Maximum Results per Term", "minimum": 1, "type": "integer", "description": "Maximum number of products to fetch per search keyword.", "default": 2000 }, "pageSize": { "title": "Page Size", "minimum": 1, "maximum": 100, "type": "integer", "description": "Number of products requested per API page.", "default": 30 } } }, "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 } } } } } } } } } } ```