Who uses Greenhouse?
Greenhouse is the leading recruiting platform for mid-market and enterprise companies, ranked #1 ATS by G2 consecutively through Winter 2025. Its customers include HubSpot, Lyft, the NFL, HelloFresh, and Duolingo. Greenhouse is purpose-built for employers managing structured, high-volume hiring processes - it is not a job market data product and does not sell access to its job posting data for external analytics or intelligence use cases.
Greenhouse job data is valuable for:
- Sales intelligence teams identifying which established companies are actively expanding specific departments or functions.
- Labour market researchers analysing hiring trends across mid-market and enterprise organisations.
- Job boards needing verified professional and corporate job listings for backfill or content.
- Competitive intelligence teams monitoring hiring patterns at specific companies or sectors.
Why teams use a data provider for Greenhouse job data
Greenhouse publishes job listings on behalf of its customers - but collecting this data comprehensively across thousands of companies, keeping it current, and normalising it into a consistent format is a significant ongoing project. Most teams do not have the resources to build and maintain this themselves. Techmap delivers it as a ready-to-use data product.
Common reasons teams choose a data provider:
- No direct data product from Greenhouse - hiring data from Greenhouse companies is not sold or licensed to external analytics teams by Greenhouse itself.
- Coverage across all Greenhouse customers requires continuous monitoring across thousands of employers - a level of infrastructure most teams cannot justify building in-house.
- Greenhouse covers one segment of the market - comprehensive job market intelligence requires data from other ATS platforms, job boards, and employment offices alongside it.
- No historical data from Greenhouse - multi-year hiring trend analysis requires an archive that Greenhouse does not provide externally.
- Normalisation across companies - job postings vary in structure; a data provider delivers a consistent, analysis-ready format.
Techmap vs direct Greenhouse data access: Feature Comparison
| Feature | Techmap | Direct from Greenhouse |
|---|---|---|
| Greenhouse jobs/month | ~41k across 202 countries (→ Explore) | No external data product offered |
| Total new postings/month | 8.2M from 127+ sources (→ Explore) | Not available |
| Countries covered | 250 countries & territories (→ Explore) | Not available externally |
| Other ATS platforms | Lever, Workday, iCIMS, Taleo, Ashby, and 51 more - all included | Greenhouse companies only |
| Historical data | 405M+ from January 2020 | Not available externally |
| Data formats | JSON, CSV, XML, RSS/ATOM, Parquet | Not available externally |
| Delivery options | API, AWS S3, AWS Data Exchange | Not available externally |
| Self-serve / free tier | Yes (RapidAPI free tier) | No |
| GDPR compliant | Yes (EU-based storage) | Yes |
Why teams choose Techmap for Greenhouse company job data
Techmap delivers job postings from Greenhouse customers as a managed data product - no in-house collection infrastructure required. Greenhouse data is included alongside 55 other ATS platforms and 70+ job boards, giving a complete picture of the job market rather than one segment of it.
Key advantages:
- 41k Greenhouse postings/month: Hiring data from Greenhouse customers including HubSpot, Lyft, the NFL, and Duolingo. (→ Explore)
- 56 ATS platforms in one product: Greenhouse plus Lever, Workday, iCIMS, Taleo, Ashby, and 50 more - complete ATS market coverage. (→ Explore)
- 250 countries and territories: Global coverage for international intelligence and research. (→ Explore)
- Historical archive: 405M+ postings from January 2020 - multi-year trend analysis across mid-market and enterprise hiring.
- Consistent, analysis-ready format: All postings normalised across every source - title, location, department, employment type - ready for your analytics tools.
- Enterprise delivery: AWS S3 and AWS Data Exchange for teams with existing cloud data infrastructure.
- Volume and Startup discounts: Reduced pricing for larger data volumes and qualifying Startups.
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