Recruiting platform matching
Power your candidate-job matching algorithm with a continuously refreshed feed of live US, EU, and APAC postings — webhook-delivered changes feed your matching model in near-real-time.
Jobs & Talent Data
Real-time jobs data — 2.5M live postings, 38K career sites, 24-hour refresh.
The same scraping infrastructure powering Jobot AI, packaged as a custom data feed. Live job postings, hiring signals, salary parsing, and role normalization — delivered into your recruiting platform, talent-intelligence product, or workforce-analytics dashboard.
Live job postings
2.5M+
Company career sites
38K+
Freshness cycle
24h
Starting from
$500/mo
Use cases
Who buys jobs and hiring data.
Talent intelligence & competitor hiring
Track competitor hiring velocity, team builds, geographic expansion signals, and tech-stack pivots from public job postings — surfaced as alerts when target accounts ramp specific functions.
Workforce & labour market analytics
Aggregate posting volume, salary trends, skill demand, and remote-vs-onsite ratios into reports, indices, and dashboards for analysts, economists, and HR-tech research teams.
Sales intelligence hiring signals
Detect when target companies are hiring specific roles (data engineers, security, RevOps) as a leading indicator of tool purchases — surfaced into your CRM as an account-priority signal.
Executive search & talent mapping
Identify candidate movement, role-history signals, and competitor leadership changes from public posting and employee-update data for executive search and talent-mapping firms.
Salary benchmarking & comp intelligence
Aggregate disclosed salary ranges across roles, geographies, and seniorities for compensation benchmarking, pay-equity research, and pay-transparency-law compliance products.
Sources we cover
Direct career sites and the major boards.
Direct-from-company-careers coverage gives us postings before they hit aggregator boards — often 24–72 hours earlier than third-party data vendors.
Company career sites (38K+)LinkedIn Jobs (public)IndeedGlassdoorZipRecruiterMonsterGreenhouseLeverWorkday tenantsSmartRecruitersBambooHRBuilt InAngelList / WellfoundRegional & niche boards
Fields per posting
Every attribute a matching, analytics, or signal pipeline needs.
Job title & seniority
Company name & career site
Location (geo-resolved)
Remote / hybrid / onsite
Employment type
Salary range & currency
Equity / bonus components
Required skills & technologies
Years of experience
Job description (full text)
Posted date & last seen
Apply URL & source
ATS / careers platform
Visa / sponsorship status
Why this is hard
Jobs data is the most-fragmented public data category there is.
A single open role can appear on the company career site, Indeed, LinkedIn Jobs, Glassdoor, the company\'s Greenhouse public board, ZipRecruiter, and three regional aggregators — each with a different posting ID, slightly different copy, and a different "posted date" because each platform timestamps it on first crawl. Without cross-source deduplication, your "live job count" is double or triple-counted.
ATS-hosted careers pages (Greenhouse, Lever, Workday, SmartRecruiters, BambooHR) each have their own DOM structure, pagination model, and SPA rendering quirks. Workday in particular requires careful handling because every customer is a separate tenant with a slightly different layout. Generic scrapers fail on the long tail.
Then there is salary parsing. "$120,000–$180,000 + equity" is a different shape than "£90k–£120k" which is a different shape than "Competitive · DOE." We normalize all variants to a structured range with currency, frequency (annual / hourly / contract), and equity-component flags so analytics teams can run salary benchmarks across geographies without manual cleanup.
The stack underneath is the same as our other verticals — extraction infrastructure, AI normalization, and delivery surfaces — but the schema, dedup logic, and refresh cadence are jobs-data-specific.
Process
From source map to live feed.
01
Source & role scoping
We define which boards, ATSs, company career sites, geographies, and role categories matter. Coverage can be global, regional, function-specific, or ICP-focused.
02
24h refresh extraction
Custom scrapers across boards, ATS-hosted job pages, and direct career sites. Rotating proxies, headless rendering for SPA career sites, and dedup against prior runs.
03
AI normalization & enrichment
Role taxonomy, salary parsing, location geo-resolution, skill extraction, seniority classification, and ATS detection — so the data is usable for matching, analytics, or alerting.
04
Delivery & alerts
Warehouse-direct, webhook stream, REST API, or hiring-signal alerts pushed to Slack, CRM, or your matching model in near-real-time.
Same data, packaged product
Jobot AI runs on this exact feed.
If you need the end-user product (AI job agent for candidates) rather than the data layer, see Jobot AI — built on the same pipeline you can license.
FAQ
Jobs data FAQ.
What job sources do you scrape?
Direct company career sites (38,000+ tracked), public-facing pages on Indeed, Glassdoor, LinkedIn, ZipRecruiter, Monster, Greenhouse, Lever, Workday tenants, SmartRecruiters, BambooHR, and regional/niche boards. We do not bypass authentication or scrape gated content.
How fresh is the jobs data?
24-hour freshness cycle is the default — every source is re-scraped on a daily basis. For specific high-velocity use cases (live candidate matching, real-time hiring signal alerts) we run hourly or webhook-triggered refreshes.
Can you scrape LinkedIn jobs?
We scrape the public-facing LinkedIn Jobs surface — the data visible to any unauthenticated visitor. We do not bypass authentication, scrape gated recruiter data, or violate LinkedIn's ToS for authenticated content.
Do you extract salary data?
Yes, where the posting discloses it. Salary parsing handles single values, ranges, hourly/annual/contract framing, currency conversion, and equity components. For US postings, pay-transparency-law compliant disclosures are flagged separately for analytics on disclosure rates.
How is the data delivered?
Normalized JSON or Parquet via webhook, S3 drop, warehouse-direct (Snowflake/BigQuery/Postgres), or REST API. Schema is standard: role, company, location (geo-resolved), seniority, employment type, salary range, posted date, and source URL with full posting text.
What is the data used for?
Recruiting platforms powering candidate-job matching, talent intelligence and competitor-hiring trackers, workforce analytics and labour market reports, sales intelligence (hiring signals for B2B targeting), executive search, and academic/economic research on the labour market.
Related work
What recruiting and talent platforms pair with jobs data.
Build on real-time job data
Start with a scoped source-and-geo engagement.
Recurring jobs data feeds start from $500/month. Custom matching layers, hiring-signal alerts, and dashboards bundled on request.