Jobbird Scraper - Netherlands Job Board

What does Jobbird Scraper do?

Jobbird Scraper extracts structured job data from jobbird.com — including salary data, company metadata, full descriptions, and skill tags. 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.

Key features

• Incremental mode — recurring runs emit and charge only for listings that are new or whose tracked content changed. First run builds the baseline state; subsequent runs emit only new or changed records.
• Detail enrichment — full descriptions and company metadata where the source provides them.
• Compact mode — AI-agent and MCP-friendly payloads with core fields only.

What data can you extract from jobbird.com?

Each result includes Core listing fields (jobId, title, location, locationUrl, salaryMin, salaryMax, salaryType, and employmentType, and more), detail fields when enrichment is enabled (benefits and description), and company metadata (company, companyId, and companyUrl). 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.
• location — City or region in the Netherlands.
• radius — Search radius around the location in kilometres. (default: 30)
• category — Filter by category slug (e.g. 'ict-automatisering').
• contractType — Filter by contract type (e.g. 'fulltime', 'parttime', 'temporary').
• sortBy — Sort order for results. (default: "date")
• maxResults — Maximum total results (0 = unlimited). (default: 25)
• includeDetails — Fetch full job details (description, skills, benefits, salary, hours). (default: true)
• descriptionMaxLength — Truncate description to N chars. 0 = no truncation. (default: 0)
• compact — Core fields only (for AI-agent/MCP workflows). (default: false)
• incrementalMode — Compare against previous run state and emit only new/changed jobs. (default: false)
• stateKey — Stable identifier for tracked universe (required when incrementalMode is true).
• ...and 1 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
}

Filtered search — Narrow results with advanced filters — only matching jobs are returned.

→ Same field set as basic search; fewer, more relevant rows.

{
  "query": "software engineer",
  "maxResults": 100
}

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 output for AI agents — Return only core fields for AI-agent and MCP workflows.

→ Small payload with the most important fields — ideal for piping into LLMs without token overhead.

{
  "query": "software engineer",
  "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": "e0c99d3769b75b1489f079a44073248c7359e014b230feae757ce63dd6cbbd3c",
  "title": "backoffice medewerker Verkoop, Ochtrup Duitsland",
  "company": "GGM Gastro International GmbH",
  "companyId": 49224,
  "companyUrl": null,
  "location": "Enschede",
  "locationUrl": "https://www.jobbird.com/nl/vacatures/enschede",
  "salaryMin": 280000,
  "salaryMax": 320000,
  "salaryType": "MONTHLY",
  "employmentType": "fulltime",
  "hoursMin": 40,
  "hoursMax": 48,
  "hoursType": "UNKNOWN",
  "category": "Klantenservice en callcenter",
  "educationLevel": "preferred",
  "skills": [
    "Backoffice"
  ],
  "benefits": [
    "Laptop van de zaak",
    "Bedrijfsrestaurant",
    "Gezonde lunch",
    "Direct vaste aanstelling",
    "Flexibele werktijden",
    "Bijdrage ziektekosten",
    "Bonusregeling"
  ],
  "description": "<p><strong>GGM Gastro, wie zijn wij eigenlijk?</strong></p>\n<p>Wie houdt er niet van? Genieten van lekker eten en drinken in restaurants, snackbars en caf&eacute;s! Maar heb je je ooit afgevraagd waar...",
  "applicationUrl": null,
  "recruitmentType": null,
  "isPremium": false,
  "url": "https://www.jobbird.com/nl/vacature/24583718-backoffice-medewerker-verkoop-ochtrup-duitsland",
  "postedDate": "2026-03-30T09:24:07+02:00",
  "scrapedAt": "2026-03-30T08:28:58.775Z",
  "source": "jobbird.com",
  "portalUrl": "https://www.jobbird.com/nl/vacature/24583718-backoffice-medewerker-verkoop-ochtrup-duitsland",
  "changeType": null
}

Incremental fields

When incremental: true, each record also carries:

• changeType — one of NEW, UPDATED, UNCHANGED, REAPPEARED, EXPIRED.
• 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 jobbird.com

1. Go to Jobbird 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, contact info, or 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 jobbird.com 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.
• Research company hiring patterns, employer profiles, and industry distribution.
• Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
• Export clean, structured data to dashboards, spreadsheets, or data warehouses.
• Analyze skill demand across listings using structured skill tags.

How much does it cost to scrape jobbird.com?

Jobbird 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: $0.001 per job record

Example costs:

• 10 results: $0.02
• 100 results: $0.11
• 500 results: $0.51

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	$0.11	$0.01	$0.10 (86%)	$0.45
15% — moderate broad query	$0.11	$0.03	$0.08 (77%)	$0.75
30% — high-volume aggregator	$0.11	$0.04	$0.07 (64%)	$1.20

Full re-scrape monthly cost at daily polling: $3.30. First month with incremental costs $0.55 / $0.84 / $1.27 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 jobbird.com?

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

Does Jobbird 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 Jobbird Scraper with other apps?

Yes. Jobbird 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 Jobbird 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 Jobbird 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 jobbird.com?

This actor extracts publicly available data from jobbird.com. 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.