From the blog · Page 3
How we build, what we learn, what we ship.
Posts about indexing public job postings at scale, salary parsing, and the systems that keep one universal JSON schema feeling small even as the source list keeps growing.
Hiring signals API: detect buying intent from job postings
A company hiring its first RevOps lead is about to buy tooling. 591,805 jobs were posted in the last 3 days alone - here is how to turn that stream into sales signals with one API call, plus how Signalbase and Autobound approach the same problem.
SEEK API: what it does, what it cannot do, and how to get Australian jobs data
SEEK has a real, well-documented GraphQL API - and one sentence in its own docs ends most developers' search: it does not offer programmatic job search. The API is built for hirers posting ads and pulling applications back, not for reading the marketplace. What the four use cases actually cover, how partner access works, why the unofficial routes cost more than they look, and the numbers on 42,589 live Australian postings collected from sources that publish openly.
Salary datasets: 8 real sources beyond the Kaggle CSVs (2026)
Most of what ranks for salary dataset is a 30-row CSV built for teaching linear regression. If you need real numbers, the useful sources are public and current: BLS OEWS, H-1B disclosure files, ONS ASHE, the Stack Overflow survey - and the newest one, live job postings, where pay transparency laws now put a stated range on a third of everything posted. Every source compared on granularity, freshness and cost, plus how to build your own salary dataset from 300,000+ postings with structured pay.
TheirStack pricing: the full rate card, how credits burn, and the cheaper piece
TheirStack is one of the few jobs-data vendors with a public rate card: one-time credit packs from $109 and API subscriptions from $59 a month. The list price tells you less than the meter - every job an API response returns consumes a credit, company reveals expire after 90 days, and exports cap at 200 jobs per company. The full price list, the consumption rules that actually set your bill, and when a flat per-request postings API is the cheaper piece.
ISCO-08: the occupation codes behind global labour market data
An ISCO-08 code is a four-digit identifier from the ILO's International Standard Classification of Occupations - the occupation axis behind ILOSTAT, Eurostat and ESCO. How the four-level hierarchy works, the codes for common tech roles, where data scientist and DevOps actually land, how ISCO maps to SOC and O*NET, and how to filter half a million live job postings by ISCO code.
Introducing the Labour Market Pulse: free monthly hiring and salary data from live postings
Free monthly aggregates from the JobsPipe corpus: hiring demand by occupation and industry, advertised-salary percentiles with visible sample sizes, and the AI pay premium. Computed from real postings, never surveys - with suppressed thin cells, a published disclosure rate, and permanently archived snapshots you can cite.
Naukri API: what exists, what doesn't, and how to get Indian jobs data
Naukri is India's dominant hiring platform, and it publishes no public developer API. What "Naukri API integration" actually means in vendor language, the unofficial JSON endpoints and scrapers people fall back on and where they break, and the honest API path to tens of thousands of live, India-located job postings.
Paylocity API: the payroll API vs the job postings you can actually read
The Paylocity API you find first is payroll and HR - partner-gated, customer-sponsored, scoped to one tenant. But every Paylocity recruiting customer also runs a public careers board that embeds its complete job list as JSON, one GET per board. Where that surface lives, why discovering boards is the real problem, and how to query Paylocity postings through one jobs API.
Labour market intelligence: what it is, who sells it, and how to get it (2026)
Labour market intelligence is the analysis layer over jobs data: what occupations are in demand, which skills are rising, what work pays, where the talent is. What LMI actually is, the data it is built from, the vendor landscape from government-grade platforms to self-serve APIs, and how measured postings data changed the field.