JOBS.EXAMPLE.COM
Data Analyst
Remote
Job Market & Recruitment Intelligence
Employer-sourced job data. Verified. Delivered daily.
Crawlify extracts job postings directly from employer career sites and niche job boards, structures every record with 40+ fields including salary and skills, verifies each one with a human analyst, and delivers clean data to your systems daily. No ghost jobs. No duplicates. No stale listings.
The Problem
Job data is everywhere. Clean job data is almost nowhere.
18 to 27% of listings are ghost jobs.
Jobs that were never meant to be filled, or filled weeks ago. Aggregators republish them. Your feed fills with noise. Your candidates apply to dead roles. Your analytics count phantom demand.
Aggregated data is duplicate data.
The same role posted on Indeed, LinkedIn, Glassdoor, and the employer's career page gets counted 4 times. No deduplication. No source-of-truth. Your totals are inflated. Your signals are blurred.
Salary and skills are trapped in description blobs.
ATS feeds give you a title and a wall of text. The salary range, benefits package, required certifications, and shift type are buried in unstructured prose. Unusable without parsing. Most scrapers don't parse it.
The Data Product
40+ verified fields per job record.
Every field is AI-extracted, then human-verified before delivery. This is what 99.5% accuracy looks like at the record level.
98% accuracyHuman Verified
Request Job Data Sample- job_id
- title_raw
- title_normalized
- soc_code
- company_name
- ats_platform
- source_url
- apply_url
- date_posted
- status
- employment_type
- department
Sample Data
One verified record, end to end.
This is what arrives in your stack: structured, source-traceable, and human-verified.
Talk to Our Alt-Data Teamjob_record.json
{
"job_id": "crwl_8f2a91c4",
"title": "Senior Data Engineer",
"company_name": "Northwind Analytics",
"ats_platform": "Greenhouse",
"location": "Austin, TX",
"salary_min": "145000",
"salary_max": "185000",
"salary_unit": "YEAR",
"employment_type": "Full-time",
"date_posted": "2026-06-18",
"source_url": "https://boards.greenhouse.io/northwind/jobs/8f2a91c4",
"verified_at": "2026-06-21"
}Sources & Coverage
Employer-sourced. Board-sourced. Government-sourced.
Direct Employer Career Sites
We extract from the ATS platforms that power 85%+ of US enterprise hiring. Listings come straight from the employer. When the role closes, it disappears from your feed the same day.
+80 moreNiche Job Boards
30+ niche boards. These boards carry listings that never reach Indeed or LinkedIn. We maintain direct extraction relationships with each.
- Healthcare
- Nonprofit
- Legal
- Military
- Hospitality
- Skilled Trades
- Finance
- Tech
- Education
- Climate
Government Labor Sources
These anchor salary benchmarking and provide labor-market context no commercial source can.
- BLSOEWS, wage data
- JOLTSJob openings
- H-1B / LCADisclosure files
- QCEWEmployment data
- O*NETOccupational data
Who Buys This Data
Built for the teams that run on job data.
Job Boards & Aggregators
Fresh listings, ghost-job filtering, niche-board coverage your competitors miss. Daily sync via API or webhooks.
HR Tech Platforms
Structured salary, skills, and hiring-velocity fields that enrich your product. Mapped to standard taxonomies.
Staffing & Recruiting
Know which employers are hiring, what they pay, and where demand is shifting. Updated daily.
Enterprise Workforce Planning
Benchmark comp, map skills gaps, track competitors. Data that's verified, not self-reported.
Universities & Economic Development
Align programs to demand. Track regional trends. Real labor-market data for real decisions.
Investors & Funds
Hiring velocity as a leading indicator. Point-in-time, ticker-mapped, audit-trailed. Built for backtesting.
How It Works
Four stages. Zero bad data.
Scope
Tell us what you need, from which sources, in what format. We handle feasibility and scheduling.
Learn more
Extract
Our AI engine crawls any source. JavaScript-rendered sites, PDFs, APIs, dynamic content. Handles pagination and bot detection.
Learn more
Verify
Every record goes through human QA. Our analysts check accuracy, flag anomalies, confirm source. 98%+ verified accuracy.
Learn more
Deliver
Clean data flows to your stack. REST API, S3, Snowflake, webhooks, Google Sheets, CSV. On your schedule. Logged and retried.
Learn more
Stage 1 of 4: Scope
How It Compares
How this compares.
| LinkUp | Coresignal | Indeed/LinkedIn | Crawlify | |
|---|---|---|---|---|
| Employer-sourced | Yes | No | Partial | Yes |
| Niche board coverage | No | No | No | 30+ boards |
| Deduplicated | Yes | No | No | Yes |
| Salary parsed | Raw | Limited | Estimated | Normalized |
| Human verified | No | No | No | 99.5% |
| Ghost-job filtering | Automated | No | No | Yes |
| Historical/point-in-time | Yes | Yes | No | Yes |
| Priced for mid-market | $85K+/yr | $49-1500/mo | No | $2.5K-10K/mo |
Use Cases
What teams do with Crawlify job data.
Career site monitoring for job boards
A niche board uses Crawlify to sync employer career-site listings in near-real-time. When a role closes on the employer's Workday page, it closes in the board's feed the same day. Ghost-job rate dropped from 22% to under 1%. Data used: title, location, status, date_posted, apply_url, first_seen, last_seen.
Salary intelligence for compensation platforms
An HR tech company uses Crawlify's structured salary fields to power comp benchmarking across 18+ transparency states. Updated daily. Normalized to annual figures. Data used: salary_min, salary_max, salary_unit, annual_normalized, soc_code, location, disclosed.
Hiring velocity signals for funds
An investment team tracks weekly posting counts across 500+ public companies. Postings-per-week by department signals expansion or contraction weeks before earnings. Data used: company_name, ticker, department, date_posted, first_seen, last_seen, title_normalized.
Blue-collar employer feeds
A frontline talent platform monitors 50+ large employers (Walmart, Amazon, FedEx, Kroger) and extracts shift type, benefits, qualifications, and physical requirements that ATS feeds don't structure. Data used: shift_type, benefits, certifications, physical_requirements, salary_unit (HOUR), location.
Platform Guides
Extract from specific platforms
Deep-dive extraction guides for the platforms behind this data.
Frequently asked questions
Job listings extracted directly from company career sites and ATS platforms, not from third-party aggregators. This eliminates duplicates and ghost jobs at the source.
Tell us what data you need.
Describe your sources, your fields, your delivery format. We'll scope it, build it, verify it, and deliver it. Start with a free data sample.
