Job Listings Data at Any Scale
We collect, structure, and deliver job postings from any job board, company career page, or industry-specific site, deduplicated, normalized, and ready for labor market analysis.
The same role on five boards should be one row, not five.
- Cross-board
- Duplicate postings resolved to a single record
- Salary parsed
- Ranges split into typed low and high values
- First seen
- Posting date recorded, not the date we collected it
Comprehensive labor market data is difficult to access reliably
Job postings are scattered across hundreds of boards, company websites, and niche platforms. Aggregating them into a consistent, deduplicated dataset requires ongoing engineering effort most organizations cannot sustain internally.
- Job boards differ significantly in structure, requiring custom scraping logic for each source
- Deduplication is complex: the same posting appears on multiple platforms with minor variations
- Salary data is inconsistently formatted or entirely absent and requires standardization and inference
- Postings expire, update, or get removed, requiring continuous recollection to maintain dataset freshness
- Company career pages require ongoing monitoring and are often the first place new roles appear
Structured, deduplicated job data from every source that matters
Pyronets collects job postings from any combination of job boards, aggregators, and company career pages, structured into consistent fields, deduplicated across sources, and delivered on your schedule.
What you get instead
What you get
Multi-Source Board Coverage
Collect from Indeed, LinkedIn, Glassdoor, ZipRecruiter, Reed, Totaljobs, and any niche or regional job board. Add company career pages for first-party posting data.
Structured Field Extraction
Every posting is parsed into consistent structured fields: job title, company, location, employment type, salary range, skills required, description, and posting date.
Cross-Source Deduplication
The same posting often appears on multiple boards. We detect and deduplicate using job title, company, location, and description similarity so you count each opening once.
Salary Normalization
Salary data comes in many formats, hourly, annual, ranges, and narrative text. We extract and normalize to consistent annual salary ranges with currency codes.
Remote Status & Location Parsing
Remote, hybrid, and on-site status is extracted and standardized. Location is parsed into city, state, and country components for geographic analysis and filtering.
Freshness & Change Tracking
Daily or more frequent collection keeps the dataset current. New postings are flagged, expired postings are marked closed, and reposted roles are linked to their predecessors.
Fields we collect.
A starting point, not a fixed list, the final schema is whatever you sign off on during scoping.
How your pipeline gets built
From first conversation to recurring delivery, with a sample you sign off on before anything runs on a schedule.
Define Sources & Filters
Specify which job boards, company career pages, regions, job categories, and industries to cover. Define any keyword or category filters to scope the collection.
Collection Pipeline Build
Custom scrapers are built for each source with field extraction, normalization, deduplication logic, and salary parsing configured to your requirements.
Sample Review
A representative sample covering all sources is delivered for your review. You confirm field quality, coverage, and deduplication accuracy before full collection.
Ongoing Delivery
Full collection runs on your schedule with incremental updates or full snapshots. Freshness, coverage, and quality metrics are reported with every delivery.
Common use cases.
Labor Market Analytics
Track hiring trends, in-demand skills, salary shifts, and geographic demand patterns over time for workforce planning, research, or consultancy deliverables.
Recruiting Intelligence
Monitor competitor hiring activity in real time (which roles they are filling, at what seniority, and in which locations) to inform talent strategy and competitive intelligence.
Compensation Benchmarking
Build salary benchmark datasets from posted ranges across geographies, seniority levels, and industries to support HR compensation planning and job grading.
Skills Gap Analysis
Analyze which technical and soft skills appear most frequently in postings for target roles to inform training programs, curriculum design, or hiring criteria.
Job Board & Aggregator Products
Supply a continuously updated job dataset to power search, recommendation, or matching features within HR tech products and job aggregator platforms.
Economic Research
Provide structured labor market signals to economists, policy researchers, and think tanks tracking employment conditions, sector growth, and wage dynamics.
Delivery formats
Pick whatever drops straight into your stack.
Industries served
Where this dataset tends to be used.
Validated before it reaches you.
Every batch runs the full validation suite before delivery. If a batch fails, it does not ship. We investigate and repair the extraction first, and you get told what happened.
Frequently asked questions
Yes. Company career pages are often the first place roles appear. We build individual scrapers for any career page you specify, including ATS-powered pages using Workday, Greenhouse, Lever, and similar systems.
We use a combination of exact and fuzzy matching on job title, company, location, and description to detect cross-source duplicates. Each unique role gets a stable deduplication ID linking all its appearances.
Salary data availability depends on posting and platform. Where salary is stated, we extract and normalize it. Where it is absent, the salary field is null. We never fabricate or impute salary estimates.
We support daily or more frequent updates. New postings are appended, expired postings are marked as closed, and re-posted roles are flagged. Most clients use daily incremental updates.
Yes. Collection can be scoped by job category, keyword, industry, location, seniority level, or any combination. Filters are applied at collection time to keep datasets relevant and manageable.
Tell us the sources. We'll send back a sample.
Describe the sites and the fields you need. You'll get a proposed schema, a real sample extracted from those sources, and a fixed price, before any commitment.
No retainer required to find out whether your sources are feasible.
Sectors this data serves
Sectors this dataset commonly serves. Schema and cadence are set per project.
Sample output
An illustrative preview of delivered records. The real schema is whatever you sign off on.
| job_title | company | location | salary_range | posted_at | source |
|---|---|---|---|---|---|
| Senior Data Engineer | Remote, USA | $180,000 – $220,000 | 2025-05-18 | ||
| ML Research Scientist | Amazon | Seattle, WA | $200,000+ | 2025-05-17 | Indeed |
| Analytics Engineer | Stripe | San Francisco, CA | $160,000 – $190,000 | 2025-05-15 | Greenhouse |
How We Deduplicate 800+ Sources
The same job posting appears across many boards. We normalize and deduplicate to deliver each unique role exactly once.