Hiring.Cafe Jobs Scraper

Extract comprehensive job data from Hiring.Cafe with a stable SSR-backed search flow. Collect job listings including titles, companies, locations, compensation, and descriptions at scale for research, recruiting, and monitoring.

Features

• Live Search Payload — Uses the current Next.js SSR search transport that is working as of 2026-05-21
• Keyword Search — Find jobs by specific terms and roles
• Location Filtering — Target jobs in specific regions
• Workplace Type Options — Filter by remote, hybrid, or onsite positions
• Pagination Control — Collect data across multiple result pages
• Structured Output — Clean, normalized job data for easy processing
• Rich Source Data — Pulls from HiringCafe's structured search payload instead of brittle page scraping

Use Cases

Job Market Research

Analyze hiring trends and salary ranges across different industries. Understand demand for specific skills and identify emerging job categories.

Recruitment Automation

Build automated job monitoring systems to track new opportunities. Feed job data into applicant tracking systems and recruitment pipelines.

Competitive Intelligence

Monitor competitor hiring patterns and job posting frequency. Track salary trends and benefits offered by different companies.

Career Planning

Research job opportunities and compensation data for career decisions. Compare offerings across companies and locations.

Data Analytics

Create comprehensive datasets for labor market analysis and economic research. Combine with other sources for broader market insights.

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Input Parameters

Parameter	Type	Required	Default	Description
startUrl	String	No	"https://hiring.cafe"	Search bootstrap URL
keyword	String	No	—	Search keyword (e.g., "software engineer")
location	String	No	—	Location filter (supports "United States")
workplaceType	String	No	"Any"	Workplace type: "Any", "Remote", "Hybrid", or "Onsite"
results_wanted	Integer	No	20	Maximum jobs to collect
max_pages	Integer	No	10	Maximum SSR pages to process
proxyConfiguration	Object	No	—	Reserved for future fallback strategies

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Output Data

Each item in the dataset contains:

Field	Type	Description
job_id	String	Unique job identifier
title	String	Job position title
company	String	Company name
location	String	Job location
workplace_type	String	Remote, Hybrid, or Onsite
commitment_type	String	Full Time, Part Time, etc.
compensation	String	Salary/compensation information
date_posted	String	Job posting date
description_html	String	Sanitized HTML description
description_text	String	Full job description text
url	String	Direct link to job posting

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Usage Examples

Basic Job Search

{
    "keyword": "software engineer",
    "results_wanted": 50
}

Remote Jobs Only

{
    "keyword": "data analyst",
    "location": "United States",
    "workplaceType": "Remote",
    "results_wanted": 100,
    "max_pages": 5
}

Advanced Filtering

{
    "keyword": "product manager",
    "workplaceType": "Hybrid",
    "results_wanted": 25,
    "max_pages": 3
}

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Sample Output

{
    "job_id": "grnhse___reltio___5990272004",
    "title": "Software Engineer",
    "company": "Reltio",
    "location": "Bengaluru, Karnataka, India",
    "workplace_type": "Hybrid",
    "commitment_type": "Full Time",
    "date_posted": "2026-05-21T05:55:30.000Z",
    "url": "https://job-boards.greenhouse.io/reltio/jobs/5990272004"
}

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Notes

• The old /api/search-jobs endpoint is no longer reliable. This actor now reads the live SSR search payload that the current site serves.
• HiringCafe's own search relevance can be broad, so some results may be adjacent matches rather than exact title matches.
• For local npm start tests, place your input in storage/key_value_stores/default/INPUT.json if you want Apify runtime to pick it up automatically.

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Integrations

Connect your job data with:

• Google Sheets — Export for team analysis and sharing
• Airtable — Build searchable job databases
• Slack — Get notifications for new opportunities
• Webhooks — Send data to custom applications
• Make — Create automated job monitoring workflows
• Zapier — Trigger actions based on new jobs

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Legal Notice

This actor is designed for legitimate data collection purposes. Users are responsible for ensuring compliance with website terms of service and applicable laws. Use data responsibly and respect rate limits.