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💼 HiringCafe Job Scraper — Real-Time Jobs, Salaries & Company Data

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HiringCafe Job Scraper — extract real-time, 100% genuine job postings from HiringCafe (hiringcafe.com) at scale. Get job titles, companies, salaries, locations, workplace types, seniority levels, apply URLs, company enrichment data (funding, employees, investors, LinkedIn), and more — in clean structured JSON. Zero login required. The most reliable HiringCafe scraper for job boards, recruiters, market research, and AI training datasets.

If you searched for hiringcafe scraper, hiring cafe job scraper, hiring.cafe API, real-time job scraper, tech job scraper, startup job scraper, job listings extractor, salary data scraper, hiring cafe export, hiringcafe.com data, startup jobs API alternative, or a no-login job board scraper — this is the actor you're looking for. ✅

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💡 What is the HiringCafe Job Scraper?

HiringCafe (hiringcafe.com) is one of the fastest-growing job boards, indexing 2M+ real job postings directly from company career pages — no aggregator duplicates, no dead links. This HiringCafe scraper turns that data into a structured, ready-to-use dataset.

Just feed it a search URL, company page, or a single job link — the actor returns everything including:

• ✅ Job title, company name, workplace type (Remote / Onsite / Hybrid)
• ✅ Full salary range (min, max, currency)
• ✅ Seniority level & commitment type (Full-time, Part-time, Contract)
• ✅ Direct apply URL (LinkedIn, Greenhouse, Lever, SAA SHRM, Indeed, custom boards)
• ✅ Company enrichment — funding, employees, investors, website, LinkedIn, industries
• ✅ Requirements summary, technical tools, job category
• ✅ Posted date & source board token

All data is 100% real. No fabricated entries. No aggregator noise.

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🔥 SEO Keywords (Why This HiringCafe Scraper Ranks)

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🚀 Key Features

Feature	Description
Multi-Mode Input	Works with search URLs, company pages (/org/), and single job URLs.
Keyword + URL Combo	Use searchQuery + startUrls together — both run in parallel without conflict.
Rich Company Enrichment	Funding amount, investors, employee count, LinkedIn, website, industries, subsidiaries.
Full Salary Data	Min/max salary, currency, hourly/yearly normalization.
Remote / Onsite / Hybrid	Workplace type accurately captured per job.
Commitment Type	Full-time, Part-time, Contract, Internship, Seasonal.
Seniority Level	Entry, Mid, Senior, Staff, Principal.
Direct Apply URLs	LinkedIn, Greenhouse, Lever, SAA SHRM, Indeed, custom ATS.
Fast Pagination	Automatic pagination across search results & company pages.
Multi-Target Quotas	Distributes item budget fairly across all provided URLs.
Duplicate Protection	Job IDs are deduplicated automatically.
Pay-Per-Event Pricing	Only charged for successfully delivered jobs. Empty runs are $0.

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📥 Input Parameters

Parameter	Type	Required	Default	Description
startUrls	array	No	–	Search URLs, /org/ company pages, or single job URLs.
searchQuery	string	No	–	Keyword search (e.g. "software engineer"). Works alongside startUrls.
location	string	No	–	City, state, or country. E.g. "San Francisco, CA".
workplaceType	string	No	"all"	all, remote, hybrid, onsite.
commitment	string	No	"all"	all, full_time, part_time, contract, internship.
seniorityLevel	string	No	"all"	all, entry, mid, senior, staff, principal.
company	string	No	–	Filter by specific company name.
dateFetchedPastNDays	integer	No	0	Only return jobs posted within last N days (0 = no filter).
sortBy	string	No	"date"	date or relevance.
maxItems	integer	No	100	Maximum total jobs to return.
fetchFullDescription	boolean	No	false	Fetch complete description text per job.
proxyConfiguration	object	No	–	Apify proxy config. Residential recommended for high volume.

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📤 Output Fields

Each job record includes:

Field	Type	Description
id	string	HiringCafe job ID.
title	string	Job title.
companyName	string	Company name.
workplaceLocation	string	Location (city, state, country).
workplaceType	string	Remote, Onsite, Hybrid, Field.
commitment	string	Full Time, Part Time, Contract, Seasonal.
seniorityLevel	string	Entry Level, Mid Level, Senior Level, etc.
minSalary	integer	Minimum yearly salary (nullable).
maxSalary	integer	Maximum yearly salary (nullable).
salaryCurrency	string	e.g. USD.
applyUrl	string	Direct apply link.
description	string	Full job description (when fetchFullDescription=true).
requirementsSummary	string	Requirements summary text.
technicalTools	array	List of technical tools / skills.
jobCategory	string	Functional job category.
companyWebsite	string	Company website URL.
companyLinkedin	string	Company LinkedIn URL.
postedDate	string	Estimated publish date.
source	string	Source ATS: greenhouse, lever, saashr, adhoc, etc.
board_token	string	Internal ATS board token.
apply_url	string	Raw apply URL (alias).
source_and_board_token	string	Combined source identifier.
job_information	object	Raw job info (title, description, raw title).
v5_processed_job_data	object	Full processed job data (advanced).
v5_processed_company_data	object	Full company enrichment (advanced).
_geoloc	array	Geolocation coordinates if available.
objectID	string	Alias for id.
scrapedAt	string	ISO 8601 extraction timestamp.

Company Enrichment (v5_processed_company_data)

Field	Type	Description
name	string	Company name.
image_url	string	Company logo URL.
website	string	Homepage URL.
linkedin_url	string	LinkedIn company page.
industries	array	Industry tags.
num_employees	integer	Employee count.
year_founded	integer	Year founded.
headquarters_country	string	HQ country.
total_funding_amount	number	Total funding raised.
latest_investment_amount	number	Latest round amount.
latest_investment_series	string	e.g. Series A, Seed.
investors	array	Investor names.
stock_symbol	string	If publicly traded.
is_non_profit	boolean	Non-profit flag.
is_public_company	boolean	Publicly traded.
latest_revenue	number	Latest reported revenue.

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📚 Full Input & Output Examples

🔹 Example 1 — Keyword Search (No Cookie Needed)

Input:

{
  "searchQuery": "software engineer",
  "location": "San Francisco, CA",
  "workplaceType": "remote",
  "commitment": "full_time",
  "seniorityLevel": "senior",
  "dateFetchedPastNDays": 7,
  "sortBy": "date",
  "maxItems": 50
}

Output:

[
  {
    "id": "abc123def456",
    "title": "Senior Software Engineer, Platform",
    "companyName": "Stripe",
    "workplaceLocation": "San Francisco, California, United States",
    "workplaceType": "Remote",
    "commitment": "Full Time",
    "seniorityLevel": "Senior Level",
    "minSalary": 180000,
    "maxSalary": 260000,
    "salaryCurrency": "USD",
    "applyUrl": "https://boards.greenhouse.io/stripe/jobs/1234567",
    "description": "We're looking for a Senior Software Engineer to build the payments platform...",
    "requirementsSummary": "5+ years of backend engineering experience, strong CS fundamentals, experience with distributed systems.",
    "technicalTools": ["Go", "Java", "Kafka", "PostgreSQL", "AWS"],
    "jobCategory": "Engineering",
    "companyWebsite": "https://stripe.com",
    "companyLinkedin": "https://linkedin.com/company/stripe",
    "postedDate": "2026-10-10",
    "source": "greenhouse",
    "board_token": "stripe",
    "v5_processed_company_data": {
      "name": "Stripe",
      "image_url": "https://logo.clearbit.com/stripe.com",
      "website": "https://stripe.com",
      "linkedin_url": "https://linkedin.com/company/stripe",
      "industries": ["Fintech", "Payments"],
      "num_employees": 8000,
      "year_founded": 2010,
      "headquarters_country": "United States",
      "total_funding_amount": 8700000000,
      "latest_investment_series": "Series I",
      "investors": ["Sequoia", "Andreessen Horowitz", "Thrive Capital"],
      "is_public_company": false
    },
    "scrapedAt": "2026-10-15T14:17:09.049281+00:00"
  }
]

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🔹 Example 2 — Company Page (/org/)

Input:

{
  "startUrls": ["https://hiringcafe.com/org/stripe"],
  "maxItems": 30
}

Output:

[
  {
    "id": "xyz789",
    "title": "Product Manager, Payments",
    "companyName": "Stripe",
    "workplaceLocation": "New York, New York, United States",
    "workplaceType": "Hybrid",
    "commitment": "Full Time",
    "seniorityLevel": "Mid Level",
    "minSalary": 150000,
    "maxSalary": 210000,
    "salaryCurrency": "USD",
    "applyUrl": "https://boards.greenhouse.io/stripe/jobs/2233445",
    "source": "greenhouse",
    "scrapedAt": "2026-10-15T14:17:09.238142+00:00"
  }
]

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🔹 Example 3 — Multiple URLs + Keyword Combo

Input:

{
  "startUrls": [
    "https://hiringcafe.com/org/openai",
    "https://hiringcafe.com/org/anthropic"
  ],
  "searchQuery": "machine learning",
  "maxItems": 60
}

The actor will:

• Scrape OpenAI and Anthropic company pages filtered by "machine learning"
• ALSO run a global "machine learning" keyword search
• Distribute the 60-item budget fairly across all 3 targets

Output:

[
  {
    "title": "Research Engineer, Machine Learning",
    "companyName": "OpenAI",
    "workplaceLocation": "San Francisco, California, United States",
    "workplaceType": "Onsite",
    "seniorityLevel": "Senior Level",
    "minSalary": 250000,
    "maxSalary": 400000,
    "salaryCurrency": "USD",
    "applyUrl": "https://openai.com/careers/research-engineer-ml",
    "source": "adhoc",
    "scrapedAt": "2026-10-15T14:17:10.000000+00:00"
  }
]

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🔹 Example 4 — Single Job URL

Input:

{
  "startUrls": ["https://hiringcafe.com/classic?openJob=abc123def456xyz"]
}

Output:

[
  {
    "id": "abc123def456xyz",
    "title": "Staff Backend Engineer",
    "companyName": "Notion",
    "workplaceLocation": "San Francisco, California, United States",
    "workplaceType": "Hybrid",
    "commitment": "Full Time",
    "seniorityLevel": "Staff Level",
    "minSalary": 220000,
    "maxSalary": 320000,
    "salaryCurrency": "USD",
    "applyUrl": "https://boards.greenhouse.io/notion/jobs/9876543",
    "companyWebsite": "https://notion.so",
    "companyLinkedin": "https://linkedin.com/company/notionhq",
    "source": "greenhouse",
    "scrapedAt": "2026-10-15T14:17:11.000000+00:00"
  }
]

---

🔹 Example 5 — Real Delivered Output (Verified)

[
  {
    "title": "5562 - Assistant Store Manager PT",
    "companyName": "Lids",
    "workplaceLocation": "Las Vegas, Nevada, United States",
    "workplaceType": "Onsite",
    "commitment": "Part Time",
    "seniorityLevel": "Mid Level",
    "minSalary": 33280,
    "maxSalary": 37440,
    "salaryCurrency": "USD",
    "source": "saashr",
    "applyUrl": "https://secure5.saashr.com/ta/lids.careers?ShowJob=503680194",
    "scrapedAt": "2026-10-15T14:17:09.049281+00:00"
  },
  {
    "title": "Technical Product Manager — Software and Agents (Core Platform)",
    "companyName": "Radical AI",
    "workplaceLocation": "Brooklyn, New York, United States",
    "workplaceType": "Onsite",
    "commitment": "Full Time",
    "seniorityLevel": "Senior Level",
    "minSalary": 195000,
    "maxSalary": 265000,
    "salaryCurrency": "USD",
    "source": "adhoc",
    "applyUrl": "https://app.nodi.global/jobs/public/57a5088d-fb88-4545-922f-052bfa8e7091",
    "scrapedAt": "2026-10-15T14:17:16.936293+00:00"
  },
  {
    "title": "Corporate HR Manager",
    "companyName": "Anovaeon",
    "workplaceLocation": "United States",
    "workplaceType": "Remote",
    "commitment": "Full Time",
    "seniorityLevel": "Senior Level",
    "minSalary": 95000,
    "maxSalary": 115000,
    "salaryCurrency": "USD",
    "source": "saashr",
    "applyUrl": "https://secure7.saashr.com/ta/6224057.careers?ShowJob=638046211",
    "scrapedAt": "2026-10-15T14:17:09.786860+00:00"
  }
]

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💰 Pricing (Pay-Per-Event)

Only charged for successfully delivered jobs. Empty runs and failed lookups are $0.

Event	Event Name	Price	When Charged
Job extracted	job-extracted	$1.25 / 1,000 ($0.00125 per job)	A verified job record is pushed to the dataset.
Actor start	apify-actor-start	$0.02 / run	One-time startup fee.

Example costs:

• 100 jobs = 100 × $0.00125 = $0.125 + $0.02 start = $0.145
• 1,000 jobs = 1,000 × $0.00125 = $1.25 + $0.02 start = $1.27
• 10,000 jobs = 10,000 × $0.00125 = $12.50 + $0.02 start = $12.52

The most cost-effective job scraper on Apify — pay only for real jobs, not for attempts.

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🛠 How to Use This HiringCafe Scraper on Apify

1. Create a task with this actor.
2. Provide input — either a keyword, a URL, or both.
3. (Optional) Enable residential proxies — recommended for 500+ jobs.
4. Run — the actor handles Cloudflare, pagination, and extraction automatically.
5. Export — download results as JSON, CSV, or Excel.

Running via API

curl -X POST "https://api.apify.com/v2/acts/your-username~hiringcafe-scraper/runs" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -d '{
    "searchQuery": "software engineer",
    "location": "Remote",
    "maxItems": 100
  }'

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🎯 Use Cases (Who Uses This HiringCafe Scraper)

• Recruiters — Build a live pipeline of matching candidates.
• Job boards & aggregators — Sync HiringCafe listings into your platform.
• Salary benchmarking — Analyze real compensation ranges across roles, seniority, and locations.
• Market research — Track which companies are hiring and where.
• Investment research — Monitor headcount growth at portfolio companies.
• AI/ML training data — Build labeled job datasets for resume matchers or chatbots.
• Career coaches — Find best-fit opportunities for clients by keyword + salary + seniority.
• Competitor research — Monitor competitor hiring velocity.
• Lead generation — Enrich your CRM with hiring signals.
• Trend tracking — Weekly snapshots of remote job supply across industries.

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❓ Frequently Asked Questions

1. Do I need a HiringCafe account or login?
No. The actor works fully anonymously — no account, no cookie, no API key.

2. What's the difference between startUrls and searchQuery?
startUrls accepts search URLs, /org/ company pages, or single job links. searchQuery accepts a keyword. You can use both together — the actor distributes the item budget fairly across all targets.

3. How does the actor handle Cloudflare?
The actor has a dual-engine architecture: a fast HTTP tier (Chrome TLS impersonation) and an automatic stealth browser fallback if Cloudflare challenges the fast tier.

4. Are salaries always available?
Not every job posts a salary. When not published, minSalary and maxSalary are null.

5. Can I filter by salary?
Not directly — but you can filter after scraping using filterByMinLikes-style logic on the JSON output.

6. What's the source field?
It shows which ATS the original job came from: greenhouse, lever, saashr, workday, adhoc, idealtraits, etc.

7. What's v5_processed_company_data?
Full company enrichment including funding rounds, investors, employee count, LinkedIn, revenue, and industry tags. Useful for investment or sales intelligence.

8. How fresh is the data?
Real-time. The actor fetches live HiringCafe pages on every run.

9. Do I need a proxy?
For small runs (under 500 jobs), direct IP works. For bulk runs, use Apify residential proxies.

10. Can I schedule this actor?
Yes. Perfect for daily/weekly job-market snapshots with delta mode.

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📝 Technical Notes

• Built with a dual-engine architecture optimized for HiringCafe's modern SSR pages.
• Handles anonymous access, optional proxy configuration, and payload integrity automatically.
• Runs entirely server-side on Apify — no local setup required.
• Empty runs (0 jobs) are always free. You only pay for successfully delivered records.
• All records are validated for JSON-serializable output and sanitized for special characters.
• Robust error handling: a single job failure never stops the run. Failures are logged and skipped.
• Duplicate protection: job IDs are deduplicated automatically within and across targets.
• Fair quota distribution: budget is shared across all targets — no URL starves another.
• Multi-page pagination: automatically fetches subsequent result pages until budget is reached.
• Delta state and per-run summaries are stored in Apify Key-Value Store for scheduled monitoring.

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Start extracting real HiringCafe jobs today — only $1.25 per 1,000 jobs. Zero login required.