# Jobindex Jobs Search Scraper (`stealth_mode/jobindex-jobs-search-scraper`) Actor Scrape structured job listings from Jobindex.dk — Denmark's leading job portal. Collect headlines, company info, apply URLs, deadlines, locations, and 25+ fields per listing. Perfect for HR analysts, recruiters, and labor market researchers. - **URL**: https://apify.com/stealth\_mode/jobindex-jobs-search-scraper.md - **Developed by:** [Stealth mode](https://apify.com/stealth_mode) (community) - **Categories:** Automation, Developer tools, Jobs - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.50 / 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. 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 Jobs Scraper: Extract Danish Job Listings at Scale --- ### What Is Jobindex.dk? Jobindex.dk is one of Denmark's largest and most established job search platforms, aggregating listings across industries including education, healthcare, IT, and engineering. It serves both Danish-language and international job seekers and is widely used by Danish employers for recruitment. Manually collecting listings from paginated search results is tedious and error-prone. The **Jobindex.dk Jobs Scraper** automates extraction from search result pages, delivering clean, structured data ready for analysis or integration. --- ### Overview The **Jobindex Jobs Scraper** targets Jobindex.dk search result pages and extracts all visible job cards per page. It is suited for: - **Recruiters** monitoring the Danish job market by category or region - **HR analysts** tracking hiring volumes and application deadlines - **Labor market researchers** studying job distribution across Danish geographic areas - **Developers** building job aggregators or alert systems It supports paginated URLs, configurable item limits, and fault-tolerant runs via `ignore_url_failures`. --- ### Input Format ```json { "urls": ["https://www.jobindex.dk/jobsoegning/undervisning/paedagog?page=2"], "ignore_url_failures": true, "max_items_per_url": 50 } ```` | Field | Type | Description | |---|---|---| | `urls` | `array` | Search result page URLs from Jobindex.dk. Add one per line or use Bulk Edit. Example: `https://www.jobindex.dk/jobsoegning/undervisning/paedagog?page=2` | | `ignore_url_failures` | `boolean` | If `true`, the scraper continues running even if some URLs fail. Recommended for bulk runs. Default: `true` | | `max_items_per_url` | `integer` | Maximum number of job listings to collect per URL. Default: `20`. Set higher (e.g., `50`) for full-page coverage | > **Tip:** To scrape multiple pages of a category, add each paginated URL separately (e.g., `?page=1`, `?page=2`, `?page=3`). Jobindex URLs are consistent and easy to enumerate. *** ### Output Format #### Sample Record ```json { "addresses": [ { "city": "Hillerød", "coordinates": { "latitude": 55.9285135, "longitude": 12.3353485 }, "id": 1745271, "line": "Fredskovhellet 65", "simple_string": "Botilbud Vingen, Fredskovhellet 65, 3400 Hillerød", "zipcode": "3400" } ], "app_apply_url": null, "apply_deadline": "2026-06-01T21:59:59Z", "apply_deadline_asap": false, "apply_url": null, "area": "Hillerød", "bottom_logo": null, "company": { "bottom_logo_url": null, "bundurlisjoburl": false, "companyprofile_url": "https://www.jobindex.dk/virksomhed/8863/hilleroed-kommune#om-virksomhed", "editurl": "/adm/company/edit/8863", "employment_place": [], "get_logo_company": "/adm/media/company/8863", "homeurl": "https://www.hillerod.dk/", "humanjob_workplace": true, "id": 8863, "logo": "https://www.jobindex.dk/img/logo/hkommuneny.gif", "name": "Hillerød Kommune", "num_followers": 2299, "rating_url": "https://www.jobindex.dk/virksomhed/8863/hilleroed-kommune#evalueringer", "use_joburl_pa": false, "video_logo_url": null }, "companytext": "Hillerød Kommune", "distance": null, "firstdate": "2026-05-18", "geoareaid": [ 1, 43, 659, 1221, 15178, 15184, 15187, 16150, 16151, 16152, 16153, 16154 ], "geojson": { "features": [ { "geometry": { "coordinates": [ 12.3353485, 55.9285135 ], "type": "Point" }, "properties": { "job_count": 0, "object_id": 1745271, "tid": "", "title": "Botilbud Vingen, Fredskovhellet 65, 3400 Hillerød", "type": "address" }, "type": "Feature" } ], "type": "FeatureCollection" }, "has_spo": false, "headline": "Kom og bliv pædagog på Vingen, vi mangler dig", "home_workplace": false, "is_archived": false, "is_local": false, "lastdate": "2026-06-01", "listlogo_url": "https://www.jobindex.dk/img/logo/HilleroedKommune_mobillogo.png", "quickapply_clientid": null, "rating": { "ratings": 276, "score": 4 }, "share_url": "https://www.jobindex.dk/vis-job/h1666167", "source": null, "tid": "h1666167", "top_logo": { "align": "right", "image_url": "https://www.jobindex.dk/img/logo/hkommuneny.gif", "link_type": "external", "link_url": "https://www.jobindex.dk/c?t=h1666167&ctx=w&jsp=21" }, "url": "https://www.jobindex.dk/c?t=h1666167&ctx=w&jobsearch_position=21", "video": null, "workplace_company": { "bottom_logo_url": null, "bundurlisjoburl": false, "companyprofile_url": "https://www.jobindex.dk/virksomhed/8863/hilleroed-kommune#om-virksomhed", "editurl": "/adm/company/edit/8863", "employment_place": [], "get_logo_company": "/adm/media/company/8863", "homeurl": "https://www.hillerod.dk/", "humanjob_workplace": true, "id": 8863, "logo": "https://www.jobindex.dk/img/logo/hkommuneny.gif", "name": "Hillerød Kommune", "num_followers": 2299, "rating_url": "https://www.jobindex.dk/virksomhed/8863/hilleroed-kommune#evalueringer", "use_joburl_pa": false, "video_logo_url": null } } ``` Each job listing returns up to 29 fields: #### Job Identity & Content | Field | Meaning | |---|---| | `TID` | Unique internal job identifier on Jobindex | | `Headline` | Job title as displayed in the search listing | | `URL` | Direct link to the full job detail page | | `Share URL` | Shareable permalink for the listing | | `App Apply URL` | In-app application URL (if available) | | `Apply URL` | External or direct application link | | `Source` | Origin source of the listing (e.g., direct employer, partner site) | #### Dates & Deadlines | Field | Meaning | |---|---| | `First Date` | Date the listing was first published | | `Last Date` | Listing expiry or last active date | | `Apply Deadline` | Specific application deadline date | | `Apply Deadline ASAP` | Boolean flag — `true` if the employer wants applications immediately | #### Company & Employer | Field | Meaning | |---|---| | `Company` | Employer name | | `Workplace Company` | Name of the actual workplace (may differ from the hiring entity) | | `Company Text` | Short employer description or tagline shown in the listing | | `List Logo URL` | URL of the company logo shown in the search results list | | `Top Logo` | Logo displayed at the top of the listing card | | `Bottom Logo` | Logo displayed at the bottom of the listing card | #### Location & Geography | Field | Meaning | |---|---| | `Area` | Geographic area or region of the job | | `Addresses` | Full address data for the workplace | | `Geo Area ID` | Internal ID for the geographic area (useful for filtering) | | `Geo JSON` | GeoJSON data for mapping job location | | `Distance` | Distance from a reference point (relevant for location-based searches) | | `Home Workplace` | Indicates if remote/home-based work is possible | | `Is Local` | Whether the listing is classified as a local/regional posting | #### Listing Flags & Metadata | Field | Meaning | |---|---| | `Has SPO` | Whether the listing has a Sponsored/Premium placement | | `Is Archived` | Whether the listing has been archived (no longer active) | | `Rating` | Employer or listing rating, if available | | `Video` | Video content URL attached to the listing | | `Quick Apply Client ID` | Identifier enabling Jobindex's Quick Apply feature | *** ### How to Use 1. **Find a search URL** — Go to Jobindex.dk, filter by category and/or location, then copy the results page URL (e.g., `/jobsoegning/it?page=1`). 2. **Add URLs to input** — Paste one or more paginated URLs into the `urls` array. 3. **Set item limit** — Use `max_items_per_url: 50` to capture a full page; lower it for quick tests. 4. **Enable fault tolerance** — Keep `ignore_url_failures: true` for multi-URL runs. 5. **Run and export** — Download results as JSON, CSV, or Excel. **Tips:** - Jobindex typically shows 20–50 results per page; match `max_items_per_url` accordingly. - For full category coverage, enumerate all pages: `?page=1` through `?page=N`. - `Geo JSON` and `Geo Area ID` are useful for building geographic visualizations of job density. *** ### Use Cases & Business Value - **Market research:** Identify hiring surges in specific Danish industries or regions - **Recruitment intelligence:** Track competitor job postings and application deadlines - **Education sector analysis:** Monitor demand for teachers and pedagogues across municipalities - **Job board development:** Feed verified Danish listings into custom aggregator platforms *** ### Conclusion The **Jobindex.dk Jobs Scraper** delivers structured, actionable data from Denmark's premier job portal. With 29 output fields covering company details, deadlines, locations, and application links, it removes the manual effort of monitoring the Danish job market. Configure your search URLs, set your limits, and start collecting. # Actor input Schema ## `urls` (type: `array`): Add the URLs of the Jobs list urls you want to scrape. You can paste URLs one by one, or use the Bulk edit section to add a prepared list. ## `ignore_url_failures` (type: `boolean`): If true, the scraper will continue running even if some URLs fail to be scraped. ## `max_items_per_url` (type: `integer`): The maximum number of items to scrape per URL. ## Actor input object example ```json { "urls": [ "https://www.jobindex.dk/jobsoegning/undervisning/paedagog?page=2" ], "ignore_url_failures": true, "max_items_per_url": 20 } ``` # 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 = { "urls": [ "https://www.jobindex.dk/jobsoegning/undervisning/paedagog?page=2" ], "ignore_url_failures": true, "max_items_per_url": 20 }; // Run the Actor and wait for it to finish const run = await client.actor("stealth_mode/jobindex-jobs-search-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 = { "urls": ["https://www.jobindex.dk/jobsoegning/undervisning/paedagog?page=2"], "ignore_url_failures": True, "max_items_per_url": 20, } # Run the Actor and wait for it to finish run = client.actor("stealth_mode/jobindex-jobs-search-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 '{ "urls": [ "https://www.jobindex.dk/jobsoegning/undervisning/paedagog?page=2" ], "ignore_url_failures": true, "max_items_per_url": 20 }' | apify call stealth_mode/jobindex-jobs-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=stealth_mode/jobindex-jobs-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Jobindex Jobs Search Scraper", "description": "Scrape structured job listings from Jobindex.dk — Denmark's leading job portal. Collect headlines, company info, apply URLs, deadlines, locations, and 25+ fields per listing. Perfect for HR analysts, recruiters, and labor market researchers.", "version": "0.0", "x-build-id": "mjsxpmR6TRQDIbkcf" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/stealth_mode~jobindex-jobs-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-stealth_mode-jobindex-jobs-search-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/stealth_mode~jobindex-jobs-search-scraper/runs": { "post": { "operationId": "runs-sync-stealth_mode-jobindex-jobs-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/stealth_mode~jobindex-jobs-search-scraper/run-sync": { "post": { "operationId": "run-sync-stealth_mode-jobindex-jobs-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "urls": { "title": "URLs of the Jobs list urls to scrape", "type": "array", "description": "Add the URLs of the Jobs list urls you want to scrape. You can paste URLs one by one, or use the Bulk edit section to add a prepared list.", "items": { "type": "string" } }, "ignore_url_failures": { "title": "Continue running even if some URLs fail to be scraped", "type": "boolean", "description": "If true, the scraper will continue running even if some URLs fail to be scraped." }, "max_items_per_url": { "title": "Max items per URL", "type": "integer", "description": "The maximum number of items to scrape per URL." } } }, "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 } } } } } } } } } } ```