# Jobindex.dk Scraper (`lexis-solutions/jobindex-dk-scraper`) Actor Extract job listings, company details, and application links from Jobindex.dk—Denmark's top job portal. Ideal for recruitment, market research, and competitor tracking with structured, Denmark-focused job data in minutes. - **URL**: https://apify.com/lexis-solutions/jobindex-dk-scraper.md - **Developed by:** [Lexis Solutions](https://apify.com/lexis-solutions) (community) - **Categories:** Jobs, Automation, AI - **Stats:** 26 total users, 5 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $0.99 / 1,000 jobs This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ## Jobindex.dk Scraper ![banner](https://i.imgur.com/82kMocZ.png) Welcome to the Jobindex.dk Scraper! This actor extracts job listings and details from Jobindex.dk, Denmark’s leading job portal. Use it to collect fresh postings including titles, company info, locations, and metadata such as application links and company ratings. ### Introduction The Jobindex.dk scraper crawls Danish job listings. Supply listing URLs from Jobindex search pages and it will paginate through results, capturing structured job data and basic company metrics. ### Use Cases - **Job Market Research**: Analyze roles and hiring trends across Denmark. - **Recruitment Enrichment**: Feed ATS/CRMs with structured postings. - **Competitor Monitoring**: Track company hiring activity by location or sector. - **Data Aggregation**: Build dashboards for geography, posting dates, or employer activity. ### Input 😎 Provide the following fields: - `startUrls` (array, required): Jobindex listing URLs to start from. Example: `{ "url": "https://www.jobindex.dk/jobsoegning/undervisning/paedagog/nordsjaelland" }` - `maxItems` (integer, required): Maximum number of items to extract (default: 10). - `proxyConfiguration` (object, optional): Apify proxy configuration. Example: `{ "useApifyProxy": false }` Notes: - Use Jobindex search/listing URLs. Links outside the domain are skipped. - The crawler stops when `maxItems` is reached or no more results are available. - Data is collected only from search/list pages; individual job detail pages lead to external domains and are not scraped. - Start URLs pointing directly to a job detail page are ignored—use search/listing URLs instead. ### Input Example ```json { "startUrls": [ { "url": "https://www.jobindex.dk/jobsoegning/undervisning/paedagog/nordsjaelland" } ], "maxItems": 25, "proxyConfiguration": { "useApifyProxy": false } } ```` ### Output 😎 Each dataset item contains fields like: ```json { "title": "Erfaren pædagogmedhjælper til vuggestuen i naturskønne Farum Vejgaard", "url": "https://www.jobindex.dk/c?t=h1613745&ctx=w&jobsearch_position=1&jobsearchid=963426864", "originalUrl": "https://furesoe-1.career.emply.com/ad/erfaren-paedagogmedhjaelper-til-vuggestuen-i-naturskonne-farum-vejgaard/pb55f6/da", "city": "Farum", "adressLine": "Stavnsholtvej 170A", "zipcode": "3520", "fullAddress": "Farum Vejgård, Stavnsholtvej 170A, 3520 Farum", "appApplyUrl": "https://furesoe-1.career.emply.com/apply/erfaren-paedagogmedhjaelper-til-vuggestuen-i-naturskonne-farum-vejgaard/pb55f6#jobdk", "applyDeadlineAsap": false, "applyUrl": "https://www.jobindex.dk/c?t=e5912055&ctx=w&u=22272070&f=jobdk", "area": "Farum", "companyName": "Furesø Kommune", "companyUrl": "https://www.jobindex.dk/virksomhed/28191/furesoe-kommune#om-virksomhed", "companyFollower": 825, "distance": null, "firstdate": "2025-11-14", "lastdate": "2025-11-27", "isArchived": false, "hasSpo": false, "homeWorkPlace": false, "isLocal": false, "listlogoUrl": "https://www.jobindex.dk/img/logo/furesoekommune.jpg", "quickapplyClientId": 2, "rating": 211, "score": 4, "shareUrl": "https://www.jobindex.dk/vis-job/h1613745", "tid": "h1613745", "description": "Vi søger en ny pædagogmedhjælper til vores charmerende og hyggelige vuggestue..." } ``` The scraper paginates through results and stops when there are no more jobs or when `maxItems` is reached. ### Why use the Jobindex.dk Scraper? - 🚀 **Fast**: Efficient crawling with smart pagination. - 😀 **Easy to use**: Start from listing URLs—no extra setup. - 💪 **Reliable**: Built on Apify Actors and Crawlee (Cheerio). - 🧭 **Flexible**: Works with any Jobindex search URL. - 🧠 **Comprehensive**: Captures links, company metrics, and descriptions. - 🇩🇰 **Denmark-focused**: Optimized for the Danish job market. ### FAQ 🙋 - **How many jobs can it extract?**\ Set `maxItems` to limit results; the scraper will attempt to fetch all available jobs until the limit or list ends. - **What if the website changes?**\ Site changes may require updates. Please report issues or request updates. - **Does it support proxies?**\ Yes. Configure `proxyConfiguration` to route traffic through your preferred proxies. - **Which URLs should I use?**\ Provide Jobindex search/listing URLs (e.g., `/jobsoegning/...`). Off-domain links are ignored. ### Need to scrape other job platforms? Check out our other job scrapers on Apify: - [Jobs.ch Scraper](https://apify.com/lexis-solutions/jobs-ch-scraper) - [Jobs.cz Scraper](https://apify.com/lexis-solutions/jobs-cz-scraper) - [VDAB.be Scraper](https://apify.com/lexis-solutions/vdab-be-scraper) - [Jobs Ireland Scraper](https://apify.com/lexis-solutions/jobs-ireland-ie-scraper) - [Job Jobnet DK Scraper](https://apify.com/lexis-solutions/job-jobnet-dk-scraper) - [Tyomarkkinatori.fi Scraper](https://apify.com/lexis-solutions/tyomarkkinatori-fi-scraper) - [AMS Austria Jobs Scraper](https://apify.com/lexis-solutions/jobs-ams-at-scraper) *** 🤝 **Need help or want a custom solution?** Lexis Solutions is a certified Apify Partner. We can help with custom 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. It will take you less than a minute but it will mean a lot to us! # Actor input Schema ## `startUrls` (type: `array`): URLs to start with. ## `maxItems` (type: `integer`): Maximum number of items that will be extracted. ## `proxyConfiguration` (type: `object`): Your proxy configuration from Apify ## Actor input object example ```json { "startUrls": [ { "url": "https://www.jobindex.dk/jobsoegning/undervisning/paedagog/nordsjaelland" } ], "maxItems": 10, "proxyConfiguration": { "useApifyProxy": false } } ``` # 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.jobindex.dk/jobsoegning/undervisning/paedagog/nordsjaelland" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("lexis-solutions/jobindex-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.jobindex.dk/jobsoegning/undervisning/paedagog/nordsjaelland" }] } # Run the Actor and wait for it to finish run = client.actor("lexis-solutions/jobindex-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.jobindex.dk/jobsoegning/undervisning/paedagog/nordsjaelland" } ] }' | apify call lexis-solutions/jobindex-dk-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lexis-solutions/jobindex-dk-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Jobindex.dk Scraper", "description": "Extract job listings, company details, and application links from Jobindex.dk—Denmark's top job portal. Ideal for recruitment, market research, and competitor tracking with structured, Denmark-focused job data in minutes.", "version": "0.0", "x-build-id": "ocjcFOdjxpksSUOGi" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lexis-solutions~jobindex-dk-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lexis-solutions-jobindex-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lexis-solutions~jobindex-dk-scraper/runs": { "post": { "operationId": "runs-sync-lexis-solutions-jobindex-dk-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lexis-solutions~jobindex-dk-scraper/run-sync": { "post": { "operationId": "run-sync-lexis-solutions-jobindex-dk-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "maxItems" ], "properties": { "startUrls": { "title": "Start URLs", "type": "array", "description": "URLs to start with.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxItems": { "title": "Maximum number of items", "type": "integer", "description": "Maximum number of items that will be extracted.", "default": 10 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Your proxy configuration from Apify", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```