# PriceRunner Scraper - Price Comparison Data (`studio-amba/pricerunner-scraper`) Actor Scrape product prices and deals from PriceRunner, the Scandinavian and European price comparison engine. Compare prices across thousands of retailers for Sweden, Denmark, and the UK. No login required. - **URL**: https://apify.com/studio-amba/pricerunner-scraper.md - **Developed by:** [Studio Amba](https://apify.com/studio-amba) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## PriceRunner Scraper Scrape product prices, deals, and comparison data from PriceRunner — the leading Scandinavian and European price comparison engine covering Sweden, Denmark, and the United Kingdom. ### How to scrape PriceRunner data PriceRunner aggregates prices from thousands of online retailers across Scandinavia and Europe. This actor lets you extract structured product and pricing data from PriceRunner search results and category pages without any login or cookies. 1. Go to the actor's input page. 2. Enter a search query (e.g., "laptop", "iPhone 16", "hörlurar") or provide a category URL. 3. Select the target country (Sweden, Denmark, or UK). 4. Set the maximum number of results you want. 5. Click "Start" and wait for the run to finish. 6. Download your data in JSON, CSV, or Excel format. The actor searches PriceRunner just like a regular user would, extracts product data from search results and product pages, and returns clean, structured data ready for analysis. ### Features - Search by keyword across all PriceRunner product categories - Browse specific category pages for targeted scraping - Supports three PriceRunner markets: Sweden (.se), Denmark (.dk), and UK (.com) - Extracts prices, ratings, review counts, and number of retailer offers - Automatic pagination to collect large result sets - Multi-strategy extraction: JSON-LD structured data, listing cards, and detail pages - No cookies or login required - Residential proxy support for reliable access ### Input options | Field | Type | Description | Default | |-------|------|-------------|---------| | `searchQuery` | String | Product search term | `"laptop"` | | `country` | Select | Target market: `se` (Sweden), `dk` (Denmark), `uk` (United Kingdom) | `"se"` | | `categoryUrl` | String | Optional PriceRunner category URL to scrape directly | — | | `maxResults` | Integer | Maximum number of products to return (1–10,000) | `100` | | `proxyConfiguration` | Object | Proxy settings — residential proxies recommended | Swedish residential | #### Example input ```json { "searchQuery": "laptop", "country": "se", "maxResults": 50, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "SE" } } ```` #### Scraping a specific category You can also scrape a specific PriceRunner category page by providing the `categoryUrl` instead of a search query: ```json { "categoryUrl": "https://www.pricerunner.se/cl/27/Laptops", "maxResults": 200 } ``` ### Output fields | Field | Type | Description | |-------|------|-------------| | `name` | String | Full product name | | `brand` | String | Brand or manufacturer | | `price` | Number | Lowest available price | | `currency` | String | Currency code (SEK, DKK, or GBP) | | `lowestPrice` | Number | Lowest price across all retailers | | `highestPrice` | Number | Highest price across all retailers | | `numberOfOffers` | Integer | Number of retailers with this product | | `rating` | Number | Average product rating (1–5 scale) | | `reviewCount` | Integer | Number of user reviews | | `imageUrl` | String | Product image URL | | `productUrl` | String | Full PriceRunner product page URL | | `category` | String | Product category | | `url` | String | URL of the page where data was scraped | | `scrapedAt` | String | ISO 8601 timestamp of when the data was collected | ### Example output ```json { "name": "Apple MacBook Air 13-inch M4 chip 16GB 256GB", "brand": "Apple", "price": 10995, "currency": "SEK", "lowestPrice": 10995, "numberOfOffers": 12, "rating": 4.8, "reviewCount": 342, "imageUrl": "https://www.pricerunner.se/product/image/...", "productUrl": "https://www.pricerunner.se/pl/27-3408001154/Laptops/Apple-MacBook-Air-priser", "category": "Laptops", "url": "https://www.pricerunner.se/results?q=laptop", "scrapedAt": "2026-05-27T14:30:00.000Z" } ``` ### Supported markets and currencies | Country | Domain | Currency | Proxy Country | |---------|--------|----------|---------------| | Sweden | pricerunner.se | SEK | SE | | Denmark | pricerunner.dk | DKK | DK | | United Kingdom | pricerunner.com | GBP | GB | ### Cost estimate The actor uses CheerioCrawler (lightweight HTTP requests, no browser), so compute costs are minimal. - \~100 results: approximately $0.01–0.02 in platform costs - \~1,000 results: approximately $0.05–0.10 in platform costs - Residential proxy usage adds to the cost depending on data transfer For most use cases, a single run costs well under $0.50. ### Limitations - PriceRunner may rate-limit aggressive scraping — use residential proxies for best results. - Product availability and pricing data reflects what PriceRunner shows at the time of scraping. Prices change frequently. - The actor extracts data from PriceRunner's public pages. Some product details may only be available on individual product pages. - Very broad search queries (e.g., "phone") may return many results across categories. Use specific queries or category URLs for focused data. - The HTML structure of PriceRunner may change without notice, which could temporarily affect data extraction. ### Tips for best results - **Use specific queries** — "Samsung Galaxy S25 Ultra" works better than "phone" - **Use category URLs** — for comprehensive category scraping, provide the category URL directly - **Match proxy country** — use Swedish proxies for .se, Danish for .dk, British for .com - **Start small** — test with `maxResults: 10` before running large scrapes ### Use cases - **Price monitoring** — track product prices across Scandinavian and European retailers - **Competitive analysis** — compare your prices against marketplace aggregated data - **Market research** — analyze product availability and pricing trends - **Lead generation** — find retailers and product categories for business development - **Data enrichment** — enhance product databases with up-to-date pricing from multiple retailers # Actor input Schema ## `searchQuery` (type: `string`): Search term to find products on PriceRunner (e.g., 'laptop', 'iPhone 16', 'hörlurar'). If empty, defaults to 'laptop'. ## `country` (type: `string`): PriceRunner market to search. Determines domain, language, currency, and proxy country. ## `categoryUrl` (type: `string`): Optional: a PriceRunner category page URL to scrape instead of searching. Example: https://www.pricerunner.se/cl/27/Laptops ## `maxResults` (type: `integer`): Maximum number of products to return. ## `proxyConfiguration` (type: `object`): Proxy settings. Residential proxies matching the target country are recommended for best results. ## Actor input object example ```json { "searchQuery": "laptop", "country": "se", "maxResults": 100, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "SE" } } ``` # 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 = { "searchQuery": "laptop", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "SE" } }; // Run the Actor and wait for it to finish const run = await client.actor("studio-amba/pricerunner-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 = { "searchQuery": "laptop", "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "SE", }, } # Run the Actor and wait for it to finish run = client.actor("studio-amba/pricerunner-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 '{ "searchQuery": "laptop", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "SE" } }' | apify call studio-amba/pricerunner-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=studio-amba/pricerunner-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "PriceRunner Scraper - Price Comparison Data", "description": "Scrape product prices and deals from PriceRunner, the Scandinavian and European price comparison engine. Compare prices across thousands of retailers for Sweden, Denmark, and the UK. No login required.", "version": "0.1", "x-build-id": "f1YC77GEYNJ1Kd6bE" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/studio-amba~pricerunner-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-studio-amba-pricerunner-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/studio-amba~pricerunner-scraper/runs": { "post": { "operationId": "runs-sync-studio-amba-pricerunner-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/studio-amba~pricerunner-scraper/run-sync": { "post": { "operationId": "run-sync-studio-amba-pricerunner-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchQuery": { "title": "Search Query", "type": "string", "description": "Search term to find products on PriceRunner (e.g., 'laptop', 'iPhone 16', 'hörlurar'). If empty, defaults to 'laptop'." }, "country": { "title": "Country", "enum": [ "se", "dk", "uk" ], "type": "string", "description": "PriceRunner market to search. Determines domain, language, currency, and proxy country.", "default": "se" }, "categoryUrl": { "title": "Category URL", "type": "string", "description": "Optional: a PriceRunner category page URL to scrape instead of searching. Example: https://www.pricerunner.se/cl/27/Laptops" }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of products to return.", "default": 100 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. Residential proxies matching the target country are recommended for best results." } } }, "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 } } } } } } } } } } ```