Best job postings data APIs for labor market analytics
2 models · updated 2026-09-08
The verdict
Lightcast leads — All 2 models rank Lightcast the top pick.
As of 2026-09-08, Claude and Gemini collectively rank Lightcast #1 for job postings data apis for labor market analytics on ModelsAgree — unanimous among the 2 models that have answered. The models' case: The de facto standard for labor market analytics — deepest historical archive of deduplicated postings, the most mature skills/occupation taxonomy (Lightcast Open. The models' main caveat: Enterprise pricing and contracts put it out of reach for individuals and small teams, and its heavy normalization/dedup can obscure the raw underlying. The strongest alternative is LinkUp — Unmatched raw signal purity because it sources postings exclusively from employer career pages rather than aggregators, eliminating ghost jobs. Source: https://modelsagree.com/best/best-job-postings-data-apis-for-labor-market-analytics (modelsagree.com, CC BY 4.0).
Combined ranking
- 1Claude #1Gemini #1
The de facto standard for labor market analytics — deepest historical archive of deduplicated postings, the most mature skills/occupation taxonomy (Lightcast Open Skills), and normalization to standard classifications that workforce economists, universities, and economic-development agencies actually trust; API delivers analysis-ready aggregates, not raw scrape.
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Claude The de facto standard for labor market analytics — deepest historical archive of deduplicated postings, the most mature skills/occupation taxonomy (Lightcast Open Skills), and normalization to standard classifications that workforce economists, universities, and economic-development agencies actually trust; API delivers analysis-ready aggregates, not raw scrape.
Gemini The benchmark standard in labor market analytics, offering decades of historical depth, best-in-class multi-source deduplication, and open, deeply structured skill and occupational taxonomies (mapped to SOC, ONET, and ESCO) enriched with salary models and remote-work parsing.
Where it falls shortper Claude Enterprise pricing and contracts put it out of reach for individuals and small teams, and its heavy normalization/dedup can obscure the raw underlying postings for users who need transparent source-level detail.
per Gemini Prohibitively expensive enterprise contract pricing with rigid data-use terms, making it inaccessible for independent researchers, budget-constrained teams, or lightweight transactional use cases.
- 2Claude #3Gemini #2
Unmatched raw signal purity because it sources postings exclusively from employer career pages rather than aggregators, eliminating ghost jobs, duplicate listings, and agency spam to provide the most reliable leading macro and company-level vacancy trend indicators (near-tie with Revelio Labs depending on macro vs. firm-level focus).
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Gemini Unmatched raw signal purity because it sources postings exclusively from employer career pages rather than aggregators, eliminating ghost jobs, duplicate listings, and agency spam to provide the most reliable leading macro and company-level vacancy trend indicators (near-tie with Revelio Labs depending on macro vs. firm-level focus).
Claude Sources postings directly from employer career sites (not aggregators), yielding clean, timestamped, low-noise records with reliable add/remove dates — the qualities quant and finance users prize for building leading-indicator signals.
Where it falls shortper Claude Coverage skews toward larger employers with ATS-integrated career pages, missing much SMB/aggregator-only hiring, and it offers little skills-taxonomy depth compared to Lightcast.
per Gemini Sparser semantic skill-extraction and labor-economic taxonomy modeling out of the box compared to dedicated LMA suites, requiring users to build their own downstream NLP for deep skill analytics.
- 3Claude #2Gemini #3
Best when the question is workforce dynamics rather than just openings — fuses job postings with profile/headcount and inflow-outflow modeling to estimate hiring, attrition, and wage trends at company and sector level, which is why it's heavily used by investors and macro labor researchers.
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Claude Best when the question is workforce dynamics rather than just openings — fuses job postings with profile/headcount and inflow-outflow modeling to estimate hiring, attrition, and wage trends at company and sector level, which is why it's heavily used by investors and macro labor researchers.
Gemini Excels at marrying job postings data directly with comprehensive firmographic hierarchies, employee profile histories, and attrition data, giving practitioners rare unified context on actual talent flows and net headcount impact (near-tie with LinkUp).
Where it falls shortper Claude Much of the value is modeled/derived rather than raw postings, so it's a poor fit for anyone who needs unmodeled ground-truth counts or must audit the exact source records.
per Gemini Highly customized for enterprise finance, corporate HR benchmarking, and private equity, making it overkill, cost-prohibitive, and poorly optimized for raw programmatic job search or localized vacancy monitoring.
- 4Claude #5Gemini #4
Provides broad international vacancy feeds across 20+ countries with standardized salary estimates and category tagging, supported by accessible developer tiers and transparent pricing that have made it a proven staple for public policy and academic labor studies.
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Gemini Provides broad international vacancy feeds across 20+ countries with standardized salary estimates and category tagging, supported by accessible developer tiers and transparent pricing that have made it a proven staple for public policy and academic labor studies.
Claude Accessible, affordably priced aggregated postings with salary and category data and genuine historical depth; credibility is reinforced by its use in official statistics work, making it a strong entry point for practitioners and smaller research teams. Near-tie with #4.
Where it falls shortper Claude As an aggregator it carries duplication and imperfect source attribution, and its coverage/geographic strength (UK-centric roots) and taxonomy depth trail the specialist providers above.
per Gemini Relies on heavy aggregation from multiple boards and staffing firms, introducing higher duplicate rates, agency listing noise, and less granular skill ontologies than specialized intelligence providers.
- 5Claude #4Gemini #5
Very large-scale job-postings data-as-a-service (plus firmographic/employee data for joins) at a far more accessible price point, delivered via API and bulk datasets — the strongest option for teams that want to build their own analytics stack rather than buy finished metrics. Near-tie with #5.
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Claude Very large-scale job-postings data-as-a-service (plus firmographic/employee data for joins) at a far more accessible price point, delivered via API and bulk datasets — the strongest option for teams that want to build their own analytics stack rather than buy finished metrics. Near-tie with #5.
Gemini Offers enormous raw global posting volume and multi-source web indexing with straightforward, developer-friendly REST endpoints and bulk data delivery, enriched with basic firmographic and tech-stack signals.
Where it falls shortper Claude It's comparatively raw web-sourced data requiring your own dedup, entity-resolution, and cleaning, and scraped-source provenance raises compliance/ToS considerations you must manage yourself.
per Gemini Minimal native econometric modeling, occupational standardization, and deduplication filtering, putting the engineering burden on the buyer to normalize titles, skills, and redundant postings.
Just missed the top 5
Claude PredictLeads — solid job-openings API but engineered as a sales/growth-signal feed, not for macro labor-market measurement · Bright Data / Oxylabs — excellent scraping infrastructure with job-posting datasets, but you build and maintain the analytics pipeline yourself rather than getting curated labor data
Gemini LinkedIn Talent Insights API — Offers unmatched proprietary data fidelity, but remains walled inside a restrictive enterprise ecosystem with no open or flexible programmatic API access for general labor analytics · PredictLeads Job Openings API — Solid at tracking company-level hiring trends and tech-stack adoption for sales/B2B intelligence, but lacks the rigorous occupational taxonomies and macro labor modeling needed for standard LMA research
By model
Claude
- 1.Lightcast
- 2.Revelio Labs
- 3.LinkUp
- 4.Coresignal
- 5.Adzuna
Gemini
- 1.Lightcast
- 2.LinkUp
- 3.Revelio Labs
- 4.Adzuna
- 5.Coresignal
Common questions
What is the best job postings data apis for labor market analytics according to AI models?
Lightcast leads. All 2 models rank Lightcast the top pick. The current top 3: Lightcast, LinkUp, Revelio Labs. Ranked by asking Claude, Gemini the same buying question and merging their top-5 picks, updated 2026-09-08. Source: modelsagree.com.
Which job postings data apis for labor market analytics did each AI model pick first?
Claude: Lightcast. Gemini: Lightcast.
How is this job postings data apis for labor market analytics ranking made?
Claude, Gemini are each asked the same buying question in a fresh session with no system steering. Their top-5 answers are merged (rank 1 = 5 pts … rank 5 = 1 pt) into the consensus ranking, re-polled on demand and tracked over time.
More on how polling works: full methodology →
Cite this ranking
ModelsAgree, “Best job postings data APIs for labor market analytics” — merged ranking from ChatGPT, Claude, Gemini & Grok, polled 2026-09-08. https://modelsagree.com/best/best-job-postings-data-apis-for-labor-market-analytics (CC BY 4.0)
Tracked by ModelsAgree · rank 1 = 5 pts … rank 5 = 1 pt · re-polled on demand