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People Data Labs

Paid

Enrich, search, and activate trusted B2B person and company data at global scale.

#B2B#Data-as-a-Service#APIs#data licenses#global person data#company data#data enrichment#profile search#custom audiences#analytics#AI/ML#datasets#records#company profiles#sourcing#standardization#deduplication#compliance#HR tech#sales#marketing#investment workflows
Inputs: text, apiOutputs: text, api
Type
Saas
Company
People Data Labs

About People Data Labs

People Data Labs (PDL) is a B2B Data-as-a-Service provider that offers global person and company data through scalable APIs and data licenses. The platform enables teams to enrich records, search profiles, build custom audiences, and power analytics and AI/ML workflows. PDL's datasets cover nearly 3 billion person records and over 70 million company profiles, sourced from thousands of public web sources, standardized, deduplicated, and refreshed quarterly with monthly API updates. The service is designed to integrate into HR tech, sales and marketing, and investment workflows, providing accurate and compliant data at scale.

Key Features

Person Search API for precise profile discovery
Company Enrichment API for robust firmographics and contacts
Search API for instant, parameterized lookups
Custom audience building for decision-maker targeting
Comprehensive data enrichment across people and companies
Scalable, high-throughput APIs for large workloads
Strong coverage of B2B decision-makers
Seamless integration into existing systems and workflows
Data License Feed for bulk and offline use cases
Quarterly dataset refreshes with monthly API updates

Pros & Cons

Pros
  • Large-scale datasets with billions of person records and millions of company profiles
  • APIs allow for flexible integration into existing systems
  • Data is refreshed quarterly with monthly updates for timeliness
  • Sourcing and deduplication processes aim to ensure data quality
  • Compliance-focused approach suitable for regulated industries
Cons
  • Pricing is not publicly listed and requires contacting sales
  • Data coverage and accuracy may vary by region or industry
  • Free tier or trial availability should be verified directly
  • Reliance on public web sources may introduce data gaps or biases
  • Integration and setup may require technical resources

Best For

Recruiters & HR tech platforms: Power talent sourcing by searching person profiles with role, skills, and location filters to surface qualified candidates.Sales operations & RevOps: Enrich CRM and MAP records with firmographics and contacts to improve segmentation, routing, and conversion.Demand generation teams: Build custom audiences of decision-makers at ICP accounts for targeted outreach and ABM programs.Product managers: Reduce onboarding friction by enriching user and company data automatically to shorten forms and time-to-value.Data scientists & ML engineers: Create high-quality features for entity resolution, deduplication, and predictive models using person and company signals.Investment analysts: Track hiring velocity, headcount trends, and executive movements to inform diligence and portfolio monitoring.Risk & compliance teams: Verify business identities and personnel details to support KYC/KYB, vendor due diligence, and fraud checks.Market intelligence teams: Map markets and TAM by aggregating company firmographics and workforce attributes for strategic planning.Job boards & HR analytics: Combine job postings and company datasets to analyze labor market dynamics and build search experiences.Data engineering teams: License bulk datasets and integrate via pipelines to maintain up-to-date internal person and company graphs.

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