1. Canaria (top pick)
Best overall job posting data provider
Canaria sells job postings that arrive already resolved: SOC occupation and NAICS industry codes, a normalized title across 99,799 canonical roles, skills matched to a 43,000+ entry taxonomy, salary estimates, and per-field confidence scores. Two-stage semantic deduplication reduces 1B+ collected postings to 400M+ unique jobs, each with an identifier that persists across deliveries. It also classifies worker type (W2 vs 1099) and maps listed employers to 7,889 stock tickers. Coverage is US-primary, with 36M+ unique postings from 243 other countries and territories. Delivery is by API or as CSV or Parquet files, daily, weekly or monthly, via S3, GCS, Snowflake share or SFTP.
Limitations: The archive starts in 2022, and outside the US most volume is from 2025 onward. Salary benchmarks are US-only.
Coverage: US-primary; 244 countries and territories · Archive: 2022 · Entry price: Free tier; API from $49/month; flat-file plans · Source
Request a free 5,000-record sample2. Lightcast
Consider it for: Global enterprise and public-sector workforce planning
Lightcast has the broadest global footprint in this list and the deepest taxonomy cross-walks, with 34,000+ Open Skills tied to its own occupation taxonomy. It is the default choice for government, academic and Fortune 500 workforce planning.
Limitations: Its documentation describes salary as the advertised figure from postings and does not describe modeled salary estimates or a per-row quality score.
Coverage: 165+ countries · Archive: US 2010, global 2019 · Entry price: Enterprise contract, typically six figures a year · Source
3. Revelio Labs
Consider it for: Investor research on workforce composition and transitions
Revelio Labs combines 5B+ job postings from employer sites, job boards and staffing boards with 1.1B+ professional profiles to model headcount, hiring, attrition and compensation. It suits research on workforce dynamics rather than postings alone.
Limitations: Its data includes individual professional profiles, which some compliance teams review more closely than postings-only data.
Coverage: Global · Archive: Postings 2021 · Entry price: Enterprise contract · Source
4. LinkUp
Consider it for: Macro research that needs the longest single-source archive
LinkUp indexes jobs directly from employer career sites, so there is no cross-source duplication to resolve, and at 350M+ jobs since 2007 its archive is the deepest here. Economists use it as a timely proxy for official job-openings statistics.
Limitations: Skills and modeled salary come through partner add-ons, and collection is from employer sites, so postings that appear only on job boards are outside its scope.
Coverage: 195 countries · Archive: 2007 · Entry price: Enterprise contract · Source
5. Coresignal
Consider it for: Developers who want raw multi-source records through a self-serve API
Coresignal clusters postings from several sources under a unified job ID, 482M+ in total, and sells them through a self-serve API and bulk files alongside company and employee data.
Limitations: Its documentation describes skills as extracted strings and does not describe a canonical skills taxonomy or standardized occupation and industry codes.
Coverage: Global · Archive: ~2020 · Entry price: Self-serve plans from $49/month · Source
6. Bright Data
Consider it for: Bulk raw records at the lowest per-record cost
Bright Data is horizontal scraping infrastructure that also sells ready-made job datasets (127M+ records across four datasets) and a scraper builder. It fits teams that have engineers to clean and classify the data themselves.
Limitations: Records are delivered as collected; its documentation does not describe occupation or industry codes or skills normalization.
Coverage: Global · Archive: ~2020 · Entry price: $250 minimum order, up to $0.0025/record · Source
7. TheirStack
Consider it for: Sales prospecting on hiring and technology signals
TheirStack aggregates 225M job records, adding about 305k a day, with 40+ fields per job including the hiring company's domain, industry and size. Access is through a web app, an API and webhooks, with dataset exports in JSON, CSV or Parquet.
Limitations: History starts in 2021, and its documentation does not describe standardized occupation codes.
Coverage: 195 countries, 350k+ sources · Archive: 2021 · Entry price: Free tier; API plans from $49/month · Source
8. PredictLeads
Consider it for: Company-level hiring signals for sales teams
PredictLeads collects job openings directly from company websites, career pages and ATS integrations: 270M+ historical openings and 9.8M+ active at any time, tied to its company dataset. Delivery is by API, flat files, webhooks or MCP.
Limitations: Collection is from company sites, so postings that appear only on job boards are outside its scope.
Coverage: 2.7M+ companies · Archive: 2016 · Entry price: Free to start · Source
9. People Data Labs
Consider it for: Teams that want postings joined to person and company records
People Data Labs added a career-page job posting dataset to its person and company data. In July 2026 it expanded tracking from 86,000 to more than 400,000 company career pages, covering over 100,000 companies with active posts.
Limitations: Archive depth and pricing are not published, and collection is from company career pages.
Coverage: 400,000+ career pages · Archive: Not published · Entry price: Not published · Source
10. Techmap
Consider it for: Many countries in one schema, including smaller markets
Techmap collects postings from 195+ portals (job boards, ATS career pages, aggregators and employment offices), normalizes them into 30+ metadata fields plus the full posting text, and delivers through a JSON or RSS API, daily bulk feeds on S3, or historical datasets.
Limitations: History starts in January 2020, and pricing is not published.
Coverage: 250 countries and territories · Archive: January 2020 · Entry price: Not published · Source
11. JobsPikr
Consider it for: Small teams that want to start on credits with a free trial
JobsPikr crawls job postings from 70,000+ sources and sells them through credit-based API plans, recurring feeds to S3 or FTP, and ready-made datasets in CSV, XML or JSON.
Limitations: Archive depth and cross-source deduplication are not described on the pages reviewed.
Coverage: 70,000+ sources · Archive: Historical datasets available · Entry price: Credit-based plans; 7-day free trial · Source
12. Oxylabs
Consider it for: Indeed and Glassdoor datasets, or scraping them yourself
Oxylabs sells job posting datasets drawn from Indeed, Glassdoor and StackShare, delivered one time, monthly or quarterly to AWS S3 or Google Cloud Storage, plus a job scraper API for teams that collect data themselves.
Limitations: Datasets cover three named sources rather than employer career sites.
Coverage: Indeed, Glassdoor, StackShare · Archive: Not published · Entry price: Datasets from $1,000/month · Source
13. Xverum
Consider it for: Global job listings bundled with company and people data
Xverum sells daily-refreshed global job listing datasets, about 15 million concurrent jobs, alongside company and professional profile data, delivered from daily to yearly as CSV by email, S3 or export.
Limitations: About 3 years of history, and pricing is on request.
Coverage: 249 countries · Archive: 3 years · Entry price: On request · Source