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HireEZ logo

HireEZ

67/100

AI-powered outbound recruiting platform for sourcing and engaging talent.

VS
People Data Labs logo

People Data Labs

35/100

Talent data API with 3B+ person records. Build custom sourcing tools, enrich candidate profiles, and power recruiting analytics with structured data.

HireEZ vs People Data Labs

The Verdict
Rating 6.3/10
🏆

Our pick

People Data Labs

**Pick HireEZ if:** - You need a recruiter-ready platform, not an API to wire up - Your team lacks eng resources to build custom tooling - You want sourcing, engagement, and tracking in one login **Pick People Data Labs if:** - You have dev support to integrate APIs into your stack - You're enriching thousands of records monthly, not dozens - You want to build custom sourcing tools or ATS integrations **Skip both if:** - You hire under 5 people per month and LinkedIn Recruiter Lite covers it **Verdict:** HireEZ is a product for recruiters; People Data Labs is data infrastructure for builders.

Our verdict. Which one wins?

Best overall
People Data Labs
Rating 6.3/5
Best value
HireEZ
From $169/user/month
Best for specialized needs
HireEZ
Corporate recruiting teams

Summary

HireEZ is a recruiter-facing platform you log into daily. It aggregates profiles from 45+ sources, wraps them in a Chrome extension, and gives you outreach tools to engage candidates directly. You're paying $169/user/month for a complete sourcing-to-engagement workflow: search, save lists, send sequences, track responses. It's built for recruiters who need a full toolkit, not just raw data. People Data Labs is an API. You don't log in. You pipe 3B+ person records into your ATS, your internal tool, or a custom dashboard your eng team builds. It's structured data: job history, skills, contact info, enrichment endpoints. You pay per API call or bulk credits, not per-seat. PDL powers the backend of platforms like HireEZ itself. If you're a recruiter without dev support, PDL has no UI to work in. If you're a recruiting ops lead or have engineering resources, PDL lets you build exactly what you need without paying for seats or features you won't use. The split: HireEZ is software for recruiters. PDL is infrastructure for teams that build their own recruiting software. HireEZ costs more per person but includes the interface, outreach, and support. PDL costs less if you source at volume and can integrate APIs, but requires technical lift. Most in-house teams under 10 recruiters pick HireEZ. Agencies scaling custom workflows or enterprises with eng support evaluate PDL.

Side-by-Side Comparison

FeatureHireEZPeople Data Labs
PricingPricing on request(Starting from $169/user/month)Pricing on request
Free PlanNoNo
Free TrialYesNo
Key Features
  • AI boolean search builder
  • Candidate data aggregation from 45+ sources
  • Diversity sourcing filters
  • Chrome extension for LinkedIn
  • Market talent insights
  • 45+ open web data sources
  • Market talent insights & analytics
  • Automated email sequencing
  • AI-powered candidate search
  • Boolean search builder
  • Candidate data enrichment
  • Contact info finder (email & phone)
  • LinkedIn integration
  • Talent pool management
Best For
  • Corporate recruiting teams
  • Staffing agencies
  • Diversity-focused hiring
  • Corporate recruiting teams
  • Staffing agencies
  • Tech recruiters
  • Sourcers
Pros
  • Excellent sourcing depth across open web
  • Strong diversity and inclusion filters
  • Intuitive Chrome extension
  • Good integration with major ATS platforms
  • Automates repetitive sourcing tasks effectively
  • Taps into candidates who aren't actively looking
  • AI scoring surfaces best-fit candidates faster
  • Layers onto your current tools without disruption
Cons
  • Can be expensive for smaller teams
  • Learning curve for advanced boolean searches
  • Contact info accuracy varies
  • Data completeness varies by geography and industry
  • Mastering search syntax takes practice
  • Low-volume recruiters may not see enough return

People Data Labs. Pricing Details

Paid - Pay per API call

Visit HireEZVisit People Data Labs

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