Fetcher vs People Data Labs

Summary

Fetcher is a done-for-you sourcing service that emails you candidate batches weekly. You set criteria, they run searches and verify profiles, you review what lands in your inbox. People Data Labs is a data API: 3 billion person records you query yourself to build sourcing tools, enrich ATS profiles, or feed analytics dashboards. Fetcher is a recruiter product; PDL is infrastructure for engineering teams. Fetcher works if you need passive candidates without writing code or managing databases. You get 20-50 curated profiles per role per week, pre-screened for basics like job title match and contact info accuracy. The tradeoff: limited search flexibility and batches that don't adjust mid-week if your hiring manager changes requirements. People Data Labs requires a developer or data team. You write API calls, build search interfaces, pipe enrichment into your ATS or warehouse. The payoff is total control: custom scoring models, real-time candidate updates, or blending PDL data with internal sources. Data completeness outside North America and tech roles drops noticeably. PDL makes sense at 50+ hires per year where building custom tools pays off. Fetcher makes sense when sourcers need candidates now and your team has no API budget or dev cycles.