Jobindex Scraper - Denmark Job Listings

What does Jobindex Scraper do?

Jobindex Scraper extracts structured job data from jobindex.dk — including salary data, apply URLs, company metadata, full descriptions, remote-work indicators, location data, and ratings and reviews. It supports keyword search, location filters, and controllable result limits, so you can run the same query consistently over time. The actor also offers detail enrichment (full descriptions and company metadata) where the source provides them.

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Key features

• ♻️ Incremental mode — recurring runs emit only NEW / UPDATED / REAPPEARED records — UNCHANGED and EXPIRED are opt-in. First run builds the baseline; subsequent runs emit and charge only for the diff. Pair with notifications for daily "new jobs" alerts to your hiring team. Saves 80–95% on daily monitoring.
• 🔔 Notifications — Telegram, Slack, Discord, WhatsApp Cloud API, generic webhook — out of the box. Pair with incremental + notifyOnlyChanges for daily "new Jobindex jobs" pings to your hiring channel.
• 🔗 Paste-mode — paste any jobindex.dk URL straight from your browser — single-job pages, search-results URLs, or category SEO URLs. Build the search you want in the UI, copy the URL, paste it here.
• 🎯 Batch searches — batch ["python developer", "data engineer", "ML engineer"] in one run — one dedup state across all searches, single dataset, one Actor-Start charge instead of N.
• 📧 Email + phone extraction — every record carries extractedEmails[] and extractedPhones[] regex-pulled from the description — direct-outreach lists with no extra processing step.
• 🔗 URL + social-profile extraction — every record carries extractedUrls[] and structured socialProfiles { linkedin, twitter, github, … } parsed from the description — useful when employers drop their careers page or recruiter LinkedIn in-line.
• 📦 Compact mode — AI-agent and MCP-friendly compact payloads with core fields only — pipe straight into your ATS, salary-benchmarking tool, or LLM context without parsing extras.
• 📝 Description format selection — pick a single description representation — text, html, or markdown — and the unused variants are dropped from each record. Halves payload size when your pipeline only consumes one format.
• 🧹 Empty-field stripping — drop null, empty-string, and empty-array fields from each record before push. Smaller payloads for AI agents and dashboards that already handle missing fields gracefully.
• 📌 Change classification — each record carries a changeType of NEW / UPDATED / UNCHANGED / REAPPEARED / EXPIRED. Default emits NEW + UPDATED + REAPPEARED; opt into the others with emitUnchanged / emitExpired. Repost detection flags previously-expired listings that come back.

What data can you extract from jobindex.dk?

Each result includes Core listing fields (jobId, portalId, title, location, country, countryCode, city, and zipCode, and more), detail fields when enrichment is enabled (description, descriptionHtml, and descriptionMarkdown), apply information (applyUrl and quickApplyAvailable), and company metadata (company, companyId, companyUrl, and companyLogo). In standard mode, all fields are always present — unavailable data points are returned as null, never omitted. In compact mode, only core fields are returned.

Enable detail enrichment in the input to get richer fields such as full descriptions and company metadata where the source provides them.

Input

The main inputs are a search keyword, an optional location filter, and a result limit. Additional filters and options are available in the input schema.

Key parameters:

• query — Job search keywords (e.g. 'software engineer', 'sygeplejerske', 'data analyst'). Use 'queries' for multiple keywords in one run.
• queries — Run multiple keyword searches in one actor run. Results are deduplicated across queries. Each query respects maxResults independently. Use instead of — or together with — the single 'query' field.
• startUrls — One or more Jobindex, IT-Jobbank, or Ofir search page URLs to scrape directly (e.g. https://www.jobindex.dk/jobsoegning?q=developer&l=K%C3%B8benhavn). Ofir.dk URLs are mapped to Jobindex automatically. Pagination is handled automatically. Portal, query, location and filter params are parsed from the URL. Can be combined with 'query' and 'queries'.
• portal — Which portal to search. Applies to 'query' and 'queries' inputs. startUrls auto-detect portal from the URL. jobindex.dk is the main site (~30K+ jobs). it-jobbank.dk is the IT-vertical subset. Ofir.dk redirects to Jobindex. (default: "jobindex.dk")
• location — City, municipality, or region (e.g. 'København', 'Aarhus', 'Fyn'). Applies to 'query' and 'queries' inputs.
• employmentType — Filter by employment type.
• workPlace — Filter by workplace arrangement.
• workHours — Filter by working hours.
• radiusKm — Search radius in kilometres around the specified location (e.g. 30 = jobs within 30 km of 'København'). Requires a location to be set. Ignored when location is empty.
• subCategories — Filter by one or more Jobindex job categories. Applies to 'query' and 'queries' inputs. Results from different categories are combined and deduplicated.
• maxResults — Maximum results to return per query / start URL (0 = unlimited). When using multiple queries, this limit applies to each query independently. (default: 25)
• includeDetails — Enrich results with company social media links, career page, about text, and ratings. Disable for faster runs. (default: true)
• ...and 22 more parameters

Input examples

Basic search — Keyword-driven search with a result cap.

→ Full payload per result — all standard fields populated where the source provides them.

{
  "query": "software engineer",
  "maxResults": 50
}

Incremental tracking — Only emit jobs that changed since the previous run with this stateKey.

→ First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set emitUnchanged: true to include unchanged records as well.

{
  "query": "software engineer",
  "maxResults": 200,
  "incrementalMode": true,
  "stateKey": "software-engineer-tracker"
}

Compact filtered output — Combine filters with compact mode for a lightweight AI-agent or MCP data source.

→ Core fields only — ideal for piping into LLMs or downstream tools without token overhead.

{
  "query": "software engineer",
  "employmentType": "",
  "maxResults": 50,
  "compact": true
}

Output

Each run produces a dataset of structured job records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example job record

{
  "jobId": "698811193af9e712ee4ea3ab61740a95fdff60236d5281c1f0bb7e42d2672b1c",
  "portalId": "h1631460",
  "title": "Senior Frontend Developer",
  "company": "Grundfos A/S",
  "companyId": 157,
  "companyUrl": "https://www.grundfos.com/dk",
  "companyLogo": "https://www.jobindex.dk/img/logo/Grundfos_logo.gif",
  "companyFollowers": 12183,
  "companyRatingScore": 5,
  "companyRatingCount": 791,
  "companyCareerPage": "https://www.grundfos.com/dk/about-us/careers",
  "companyAbout": "Water is the heart and soul of Grundfos Grundfos moves and transforms water and other liquids via intelligent, sustainable and energy efficient solutions for use in buildings, industries and utilities...",
  "companyMotherCompany": "Grundfos A/S",
  "companyEvaluationCount": 16,
  "companySocialFacebook": "https://www.facebook.com/Grundfos-454724341400431/",
  "companySocialLinkedin": "https://www.linkedin.com/company/grundfos/",
  "companySocialYoutube": null,
  "companySocialInstagram": null,
  "companySocialTwitter": null,
  "location": "Bjerringbro - hybrid position",
  "city": "Bjerringbro",
  "zipCode": "8850",
  "address": "Poul Due Jensens Vej 7, 8850 Bjerringbro",
  "latitude": 56.38077334798,
  "longitude": 9.669192177089,
  "employmentType": null,
  "isRemote": true,
  "description": "Grundfos A/S Vis interesse Ikke interesseret Fejlmeld annonce Del annoncen Kopier link Via apps Facebook LinkedIn Senior Frontend Developer Bjerringbro - hybrid position Se rejsetid Are you passionate...",
  "applyUrl": null,
  "portalUrl": "https://www.jobindex.dk/vis-job/h1631460",
  "url": "https://www.jobindex.dk/c?t=h1631460&ctx=w&jobsearch_position=1",
  "postedDate": "2026-03-19T00:00:00Z",
  "deadline": "2026-04-15T00:00:00Z",
  "deadlineAsap": true,
  "isPromoted": true,
  "hasVideo": true,
  "videoUrl": "https://www.jobindex.dk/c?t=h1631460&ctx=w&u=21673808&jsp=1",
  "categories": [],
  "scrapedAt": "2026-03-21T23:16:25.564Z",
  "source": "jobindex.dk"
}

In compact mode, output is reduced to core fields: title, company, location, isRemote, postedDate, deadline, portalUrl, companyRatingScore, and source.

Incremental fields

When incremental: true, each record also carries:

• changeType — one of NEW, UPDATED, UNCHANGED, REAPPEARED, EXPIRED. Default output covers NEW / UPDATED / REAPPEARED; set emitUnchanged: true or emitExpired: true to opt into the others.
• firstSeenAt, lastSeenAt — ISO-8601 timestamps tracking the listing across runs.
• isRepost, repostOfId, repostDetectedAt — populated when a new listing matches the tracked content of a previously expired one. Set skipReposts: true to drop detected reposts from the output.

How to scrape jobindex.dk

1. Go to Jobindex Scraper in Apify Console.
2. Enter a search keyword and optional location filter.
3. Set maxResults to control how many results you need.
4. Enable includeDetails if you need full descriptions, company data.
5. Click Start and wait for the run to finish.
6. Export the dataset as JSON, CSV, or Excel.

Use cases

• Extract job data from jobindex.dk for market research and competitive analysis.
• Track salary trends across regions and categories over time.
• Monitor new and changed listings on scheduled runs without processing the full dataset every time.
• Auto-apply or feed apply URLs into your ATS / hiring pipeline.
• Research company hiring patterns, employer profiles, and industry distribution.
• Use structured location data for regional analysis, mapping, and geo-targeting.
• Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
• Export clean, structured data to dashboards, spreadsheets, or data warehouses.
• Collect ratings and reviews for reputation monitoring and benchmarking.

How much does it cost to scrape jobindex.dk?

Jobindex Scraper uses pay-per-event pricing. You pay a small fee when the run starts and then for each result that is actually produced.

• Run start: $0.01 per run
• Per result: $0.002 per job record

Example costs:

• 10 results: $0.03
• 100 results: $0.21
• 500 results: $1.01

Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of listings that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions.

Example setup: 100 results per run, daily polling (30 runs/month). Event-pricing examples scale linearly with result count.

Churn rate	Full re-scrape run cost	Incremental run cost	Savings vs full re-scrape	Monthly cost after baseline
5% — stable niche query	$0.21	$0.02	$0.19 (90%)	$0.60
15% — moderate broad query	$0.21	$0.04	$0.17 (81%)	$1.20
30% — high-volume aggregator	$0.21	$0.07	$0.14 (67%)	$2.10

Full re-scrape monthly cost at daily polling: $6.30. First month with incremental costs $0.79 / $1.37 / $2.24 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

FAQ

How many results can I get from jobindex.dk?

The number of results depends on the search query and available listings on jobindex.dk. Use the maxResults parameter to control how many results are returned per run.

Does Jobindex Scraper support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed listings on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

Can I integrate Jobindex Scraper with other apps?

Yes. Jobindex Scraper works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use Jobindex Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use Jobindex Scraper through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode and descriptionMaxLength to keep payloads manageable for LLM context windows.

Is it legal to scrape jobindex.dk?

This actor extracts publicly available data from jobindex.dk. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

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Getting started with Apify

New to Apify? Create a free account with $5 credit — no credit card required.

1. Sign up — $5 platform credit included
2. Open this actor and configure your input
3. Click Start — export results as JSON, CSV, or Excel

Need more later? See Apify pricing.