# Jemogfix.dk Scraper (`lexis-solutions/jemogfix-dk-scraper`) Actor Scrape structured Jem & Fix Denmark product data from jemogfix.dk, including prices, variants, specs, stock and categories, for price monitoring, catalog aggregation and market research, with easy no-code setup and full pagination support. - **URL**: https://apify.com/lexis-solutions/jemogfix-dk-scraper.md - **Developed by:** [Lexis Solutions](https://apify.com/lexis-solutions) (community) - **Categories:** E-commerce, AI, Agents - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $32.00/month + usage To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors ## 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 ## Jem & Fix Denmark Scraper ![banner](https://i.ibb.co/Yxr6Wnz/Screenshot-2026-02-08-at-12-26-46-AM.png) --- ### What is the Jem & Fix Scraper? The Jem & Fix Scraper is designed to extract product data from **jemogfix.dk**, one of Denmark's leading DIY, building materials, and home improvement retailers. It enables users to gather detailed product information including pricing, specifications, variants, and availability. ### What data can the Jem & Fix Scraper extract? The Jem & Fix Scraper can extract the following data from **jemogfix.dk**: - Product title and brand - ERP item number - Product description - Product images - Price (incl. VAT), alternative price, and previous price - Currency (DKK) - Stock availability and delivery time - Product category hierarchy - Specifications (material, dimensions, color, etc.) - Variants (sizes, colors, models) with links to each variant ### What use cases does the Jem & Fix Scraper have? - Price monitoring and competitor analysis for DIY retailers - Building materials market research in Denmark - Product catalog aggregation and comparison - Stock availability tracking across product ranges ### Input To run the actor, you can input: - **startUrls** - Search page URLs or direct product detail page URLs from **jemogfix.dk**. - **maxItems** - Maximum number of items to scrape per start URL (default: 5). - **proxyConfiguration** - Proxy configuration for the scraper.(optional) Example input: ```json { "startUrls": [ { "url": "https://www.jemogfix.dk/soeg/?q=oak" }, { "url": "https://www.jemogfix.dk/oak-creek-foret-haettetroeje-str-xl/5120/9062891/" } ], "maxItems": 5, "proxyConfiguration": { "useApifyProxy": false } } ```` ### Output The results are stored in the default dataset associated with the actor. Each item contains detailed product information in the following format: ```json { "url": "https://www.jemogfix.dk/oak-creek-foret-haettetroeje-str-xl/5120/9062891/", "title": "Oak Creek foret hættetrøje str. XL", "brand": "Oak Creek", "erpItemNo": "9062891", "description": "Oak Creek foret hættetrøje str. XL...", "images": [ "https://media.jemogfix.dk/prod-mediafiles/dk/varer/source/5120 9062891.jpg" ], "price": 299, "priceUnit": "stk.", "alternativePrice": null, "alternativePriceUnit": "", "previousPrice": null, "currency": "DKK", "inStock": false, "deliveryTime": "Leveringstid 1 - 3 arbejdsdage", "category": ["Bil & fritid", "Tøj & sko", "Beklædning"], "specifications": { "Produkttype": "Hættetrøje", "Farve": "Grå", "Størrelse": "XL", "Materiale": "100 % polyester" }, "variants": [ { "type": "Tøjstørrelse", "options": [ { "name": "M", "url": "https://www.jemogfix.dk/oak-creek-foret-haettetroeje-str-m/5120/9062889/", "selected": false }, { "name": "XL", "url": null, "selected": true } ] } ] } ``` ### How many products can the Jem & Fix Scraper extract? The scraper supports pagination and can extract all products matching a search query. Use the `maxItems` input parameter to control how many products are scraped per start URL. ### Why use the Jem & Fix Scraper? - **Fast** - Efficient product discovery and pagination. - **Comprehensive** - Extracts full product details including specifications, variants, and pricing. - **Easy to use** - Simply input search or product URLs and start scraping. No coding required. - **Well-Maintained** - Maintained by the Lexis Solutions team, ensuring it stays up-to-date. ### FAQ - **What is Jem & Fix?** Jem & Fix is a Danish retail chain specializing in DIY, building materials, tools, and home improvement products. They operate stores across Denmark and sell products online at jemogfix.dk. - **Can I scrape specific product categories?** Yes. Navigate to any category or search page on jemogfix.dk and use that URL as a start URL. The scraper will extract all products from the results. - **Can I scrape individual product pages?** Yes. You can provide direct product URLs (e.g. `https://www.jemogfix.dk/product-name/1234/5678/`) as start URLs to scrape specific products. - **How much does it cost?** The cost for using the Jem & Fix Scraper is shown on the top of this page. You can also check the Apify Store page for more information. *** Got feedback or need an extension? Lexis Solutions is a [certified Apify Partner](https://apify.com/partners/find). We can help you with custom solutions or data extraction projects. Contact us over [Email](mailto:scraping@lexis.solutions) or [LinkedIn](https://www.linkedin.com/company/lexis-solutions) ### Support Our Work If you're happy with our work and scrapers, you're welcome to leave us a company review [here](https://apify.com/partners/find/lexis-solutions/review) and leave a review for the scrapers you're subscribed to. Image Credit: https://www.jemogfix.dk/ # Actor input Schema ## `startUrls` (type: `array`): URLs to start with. Supports search pages (e.g. https://www.jemogfix.dk/soeg/?q=oak) and detail pages (e.g. https://www.jemogfix.dk/product-name/1234/5678/). ## `maxItems` (type: `integer`): Maximum number of items to scrape per start URL. ## `proxyConfiguration` (type: `object`): Proxy configuration for the scraper. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.jemogfix.dk/soeg/?q=oak" } ], "maxItems": 5 } ``` # Actor output Schema ## `overview` (type: `string`): No description # 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 = { "startUrls": [ { "url": "https://www.jemogfix.dk/soeg/?q=oak" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("lexis-solutions/jemogfix-dk-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 = { "startUrls": [{ "url": "https://www.jemogfix.dk/soeg/?q=oak" }] } # Run the Actor and wait for it to finish run = client.actor("lexis-solutions/jemogfix-dk-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 '{ "startUrls": [ { "url": "https://www.jemogfix.dk/soeg/?q=oak" } ] }' | apify call lexis-solutions/jemogfix-dk-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lexis-solutions/jemogfix-dk-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Jemogfix.dk Scraper", "description": "Scrape structured Jem & Fix Denmark product data from jemogfix.dk, including prices, variants, specs, stock and categories, for price monitoring, catalog aggregation and market research, with easy no-code setup and full pagination support.", "version": "1.0", "x-build-id": "2IWMmsG2t1GKqmPYh" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lexis-solutions~jemogfix-dk-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lexis-solutions-jemogfix-dk-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lexis-solutions~jemogfix-dk-scraper/runs": { "post": { "operationId": "runs-sync-lexis-solutions-jemogfix-dk-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lexis-solutions~jemogfix-dk-scraper/run-sync": { "post": { "operationId": "run-sync-lexis-solutions-jemogfix-dk-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "startUrls" ], "properties": { "startUrls": { "title": "Start URLs", "type": "array", "description": "URLs to start with. Supports search pages (e.g. https://www.jemogfix.dk/soeg/?q=oak) and detail pages (e.g. https://www.jemogfix.dk/product-name/1234/5678/).", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of items to scrape per start URL.", "default": 5 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy configuration for the scraper." } } }, "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 } } } } } } } } } } ```