# Migros Scraper — Swiss Grocery, Household & Department Store Pr (`studio-amba/migros-scraper`) Actor Scrape product listings, prices in CHF, ratings, and availability from Migros.ch — Switzerland's largest supermarket and retail chain. - **URL**: https://apify.com/studio-amba/migros-scraper.md - **Developed by:** [Studio Amba](https://apify.com/studio-amba) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $4.00 / 1,000 result 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 ## Migros Scraper Scrapes products from Migros.ch, Switzerland's largest retail chain. Covers groceries, household items, electronics, and more. Prices are in Swiss Francs (CHF). ### Input | Field | Type | Required | Description | |-------|------|----------|-------------| | `categoryUrl` | String | No | Migros.ch category URL | | `searchQuery` | String | No | Search keyword (default: `"kaffee"`) | | `maxResults` | Integer | No | Product cap (default: 100) | | `proxyConfiguration` | Object | No | Proxy settings | ### Swiss price format Migros uses the Swiss format: `CHF 1'234.56` -- apostrophes as thousand separators and dots for decimals. The scraper handles this automatically. ### Output | Field | Type | Example | |-------|------|---------| | `name` | String | `"Nespresso Lungo Forte"` | | `brand` | String | `"Nespresso"` | | `price` | Number | `5.60` | | `originalPrice` | Number | `6.90` | | `currency` | String | `"CHF"` | | `pricePerUnit` | String | `"CHF 11.20/100g"` | | `ean` | String | EAN barcode | | `sku` | String | Migros article number | | `inStock` | Boolean | `true` | | `rating` | Number | `4.5` | | `reviewCount` | Number | `89` | | `imageUrl` | String | Product image | | `description` | String | Product description | | `specs` | Object | Nutritional info / product attributes | | `category` | String | `"Kaffee"` | | `categories` | Array | Full category hierarchy | ```json { "name": "Nespresso Lungo Forte", "brand": "Nespresso", "price": 5.60, "currency": "CHF", "pricePerUnit": "CHF 11.20/100g", "inStock": true, "category": "Kaffee", "url": "https://www.migros.ch/de/product/nespresso-lungo-forte-12345", "scrapedAt": "2026-03-16T10:00:00.000Z" } ```` ### Notes - Site language is German by default (de-CH headers) - The `pricePerUnit` field is particularly useful for grocery price comparison - Specs may include nutritional tables for food products - Product links follow `/product/` or `/produkt/` URL patterns - Pagination uses "Nachste"/"Weiter" (Next) German-language links ### How to scrape Migros data 1. Go to this actor's page on the [Apify Store](https://apify.com/store). 2. Click **Try for free** to open it in Apify Console. 3. Configure your search query or URL, set the maximum number of results, and adjust proxy settings if needed. 4. Click **Start** and wait for the run to finish. 5. Download your data in JSON, CSV, Excel, or connect it to your workflow via API. You can also schedule regular runs, set up webhooks for real-time notifications, or integrate the results directly into your application using the [Apify API](https://docs.apify.com/api). ### Cost and performance The cost depends on the number of results and the complexity of the pages being scraped. As a rough guide: - Simple product listings: ~0.25 compute units per 1,000 results - Detailed product pages: ~1-2 compute units per 1,000 results The actual cost depends on your Apify subscription plan. Check the [Apify pricing page](https://apify.com/pricing) for details. ### Tips and tricks - **Start small**: test with `maxResults: 5` before running large scrapes. - **Use proxies**: residential proxies give the best success rates for Migros. - **Schedule runs**: set up recurring runs to keep your data fresh automatically. - **Integrate via API**: use the [Apify API](https://docs.apify.com/api) or [client libraries](https://docs.apify.com/api/client) to fetch results programmatically. - **No login required**: this actor scrapes publicly available data without needing an account. ### Limitations - Data is scraped from the public website and may change without notice. - Some products or listings may not be available in all regions. - Very large scraping jobs may be slower due to proxy rotation and rate limiting. - Respect the website's terms of service and use responsibly. ### Features - **No login required** — scrapes publicly available data from Migros without needing credentials or cookies. - **Structured output** — results are returned as clean JSON objects, ready for processing. - **Pagination handling** — automatically follows multiple pages of results. - **Proxy support** — configurable proxy settings for reliable, large-scale scraping. - **Flexible input** — search by keyword, provide specific URLs, or crawl categories. - **Scheduled runs** — run on a schedule to keep your dataset up to date automatically. - **API access** — integrate results into your workflow using the Apify API or webhooks. ### FAQ **Is it legal to scrape Migros?** Web scraping of publicly available data is generally permitted. This actor only accesses information that is publicly visible to any website visitor. Always review the website's terms of service before scraping. **How often should I run this scraper?** For price monitoring or competitive intelligence, daily or weekly runs are common. Set up a [schedule](https://docs.apify.com/schedules) in Apify Console to automate this. **Can I export the data to Google Sheets or Excel?** Yes. After each run, you can download results in CSV, JSON, or Excel format directly from Apify Console. You can also connect results to Google Sheets using Apify integrations. **What if the scraper stops working?** Websites change their structure occasionally. If you notice issues, please open an issue on the actor's page. We actively maintain this scraper and fix issues promptly. ### Need this data on a schedule, or a custom version? We run this scraper as a managed service for businesses: scheduled runs, deduplication, delta detection, and delivery to your inbox, Google Sheets, or API — maintenance included. We can also build a custom version with your exact fields and filters, or combine multiple sources into one feed. See [studioamba.dev/services](https://studioamba.dev/services/) or email for a free data sample. We maintain 300+ European web scrapers and answer within one business day. # Actor input Schema ## `categoryUrl` (type: `string`): A Migros.ch category page URL to scrape. ## `searchQuery` (type: `string`): Search for products by keyword. Used if no categoryUrl is provided. ## `maxResults` (type: `integer`): Maximum number of products to return. ## `proxyConfiguration` (type: `object`): Proxy settings for better reliability on large runs. ## Actor input object example ```json { "categoryUrl": "https://www.migros.ch/de/search?query=kaffee", "searchQuery": "kaffee", "maxResults": 100, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "CH" } } ``` # 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 = { "categoryUrl": "https://www.migros.ch/de/search?query=kaffee", "searchQuery": "kaffee", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "CH" } }; // Run the Actor and wait for it to finish const run = await client.actor("studio-amba/migros-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 = { "categoryUrl": "https://www.migros.ch/de/search?query=kaffee", "searchQuery": "kaffee", "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "CH", }, } # Run the Actor and wait for it to finish run = client.actor("studio-amba/migros-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 '{ "categoryUrl": "https://www.migros.ch/de/search?query=kaffee", "searchQuery": "kaffee", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "CH" } }' | apify call studio-amba/migros-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=studio-amba/migros-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Migros Scraper — Swiss Grocery, Household & Department Store Pr", "description": "Scrape product listings, prices in CHF, ratings, and availability from Migros.ch — Switzerland's largest supermarket and retail chain.", "version": "0.1", "x-build-id": "KJffrtJhK2O9tkBa6" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/studio-amba~migros-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-studio-amba-migros-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/studio-amba~migros-scraper/runs": { "post": { "operationId": "runs-sync-studio-amba-migros-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/studio-amba~migros-scraper/run-sync": { "post": { "operationId": "run-sync-studio-amba-migros-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "categoryUrl": { "title": "Category URL", "type": "string", "description": "A Migros.ch category page URL to scrape." }, "searchQuery": { "title": "Search Query", "type": "string", "description": "Search for products by keyword. Used if no categoryUrl is provided." }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 50000, "type": "integer", "description": "Maximum number of products to return.", "default": 100 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for better reliability on large runs." } } }, "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 } } } } } } } } } } ```