Recruitment

Job Market Data Extraction for Talent Intelligence

Collect job postings, salary data, skills demand signals, and employer hiring patterns from public job boards to power talent intelligence platforms, compensation benchmarking, and workforce analytics.

View API Docs

Data Collection Challenges in Recruitment

1

Job boards paginate results across hundreds of pages and load listings dynamically — capturing the full dataset requires handling both pagination and JavaScript rendering.

2

Salary and compensation data is often embedded in unstructured job description text requiring extraction and normalisation.

3

Skills taxonomy varies by poster — the same skill is described differently across postings, complicating structured aggregation.

4

Popular job platforms rate-limit automated access aggressively to protect their listing databases.

5

Job listings expire or get filled quickly, so data pipelines must run frequently to capture current market state.

Common Use Cases

Talent intelligence platforms that map skills demand across industries, geographies, and seniority levels.

Compensation benchmarking tools that aggregate salary ranges from publicly stated job postings.

Employer hiring trend analysis to identify which companies are scaling specific functions.

Recruitment CRM enrichment — adding market context to candidate profiles and job requirements.

Economic research using job posting volumes and skill demand shifts as labour market indicators.

Extracted Data Types

Job title and seniority levelEmployer name and locationRequired skills and qualificationsSalary range (where disclosed)Employment type (full-time, contract, remote)Posting date and application deadline

Quick Start

cURL
curl -X POST https://alterlab.io/api/v1/scrape \
  -H "X-API-Key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "url": "https://www.example-jobs.com/search?q=data+engineer&location=London",
    "render": "smart",
    "extract": {
      "job_title": "string",
      "employer": "string",
      "location": "string",
      "salary": "string",
      "posted_date": "string"
    }
  }'

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Frequently Asked Questions

How does AlterLab handle paginated job search results?

AlterLab processes each paginated URL as an independent request. For searches that return hundreds of result pages, the batch API lets you submit all page URLs in one call and collect structured job data in parallel, dramatically reducing total extraction time.

Can I extract salary data from job descriptions?

When salary ranges are publicly stated in the job description or structured fields, AlterLab's structured extraction returns them as typed fields (e.g. number, string). Salary data embedded in unstructured prose can be extracted into a string field for subsequent normalisation in your pipeline.

Compliance & Responsible Use

Job posting data is generally publicly accessible, but some platforms assert database rights or have terms of service that restrict automated collection. Extracting personally identifiable information from CV or profile pages raises additional privacy obligations under GDPR and equivalent regulations. Organizations should consult their legal team.

AlterLab is designed for accessing publicly available data. Always review the terms of service for any website you access, respect robots.txt directives, and ensure your use case complies with applicable laws in your jurisdiction.

Explore other industry guides

Browse all industry data extraction guides or explore use case guides for more specific technical workflows.

Your first scrape.
Sixty seconds.

$1 free credit — up to 5,000 scrapes. No credit card.Just a POST request.

terminal
curl -X POST https://api.alterlab.io/v1/scrape \
-H "X-API-Key: YOUR_KEY" \
-H "Content-Type: application/json" \
-d '{"url": "https://example.com", "formats": ["markdown"]}'

No credit card required · $1 free credit, up to 5,000 scrapes · Balance never expires