How do recruiters actually use People Data Labs?

Recruiting teams do not use PDL directly. Instead, platforms like Clay, Zapier, or Make integrate PDL's API to automatically enrich candidate and company records with missing contact information, skills, education history, and company headcount data during prospecting workflows.

What data does PDL provide?

Person data includes resumes, education, skills, and accurate contact information. Company data includes firmographics, employee headcount by role and geography, and industry classification. PDL also offers daily-refreshed job posting data sourced from company career pages.

How much does People Data Labs cost?

Free plan: 100 person or company lookups per month, $0. Pro plan: $98/month (or $940/year, saving 20%) includes 350 person enrichment credits and 1,000 company lookups. Enterprise plans are custom-priced, starting around $2,500/month, and include bulk licensing, dedicated support, and flexible terms. Additional credits beyond plan limits cost $0.28 per credit on Pro.

Does PDL have an API?

Yes. PDL offers a full API for enrichment, search, autocomplete, and data cleaning. It also supports integration via Zapier, Make, Snowflake Data Sharing, and Databricks Delta Share, so teams can connect PDL without writing custom code.

Is the data compliant and secure?

Yes. People Data Labs is ISO 27001 and SOC 2 Type 2 certified, meeting enterprise security and information security standards.

Enrichment - Talent API

People Data Labs

Workforce data platform for talent sourcing and enrichment

What is People Data Labs?

People Data Labs is an API-first workforce data provider that supplies resume, contact, company, and job-posting data to the platforms and pipelines recruiters actually use. It is designed for teams building their own candidate intelligence layer, enrichment workflow, or AI sourcing system rather than a recruiter-facing search tool.

Features

What are People Data Labs's key features?

1.5 billion person profiles via API: resumes, work history, education, skills, and contact data at a scale you integrate as a base layer for candidate intelligence, not a per-record lookup tool.

Structured career data for AI matching: pull standardized work history, skills, and education programmatically to power a custom matching engine, candidate scoring, or profile enrichment inside your own tool.

Company and job-posting datasets: firmographics, headcount, and daily-refreshed job postings from company career pages - useful for hiring-signal detection and BD account targeting alongside the person data.

Built for engineers: a well-documented API with search, enrichment, autocomplete, and cleaning endpoints, plus sample code in multiple languages - the reason technical teams pick it as a data source.

Delivered how your stack needs it: REST APIs, licensed data feeds, or direct access via Snowflake and Databricks, plus no-code routes through Zapier and Make.

Use Cases

How do recruiting teams use People Data Labs?

An agency building a proprietary candidate database integrates PDL's API to bulk-enrich millions of profiles with structured work history and contact data - a system no off-the-shelf sourcing tool replicates at that scale or level of data ownership.
An enterprise TA team feeds PDL's structured profile data into its own AI matching engine, scoring candidates against role criteria instead of relying on a vendor's black-box algorithm.
A technical operator uses PDL as the backend data source behind a custom sourcing tool, keeping control over matching logic and data freshness rather than a packaged platform's fixed search.
A team monitors job-change and company-event signals from PDL's dataset to trigger outreach timing.

Fit

Who is People Data Labs best for?

Engineering teams building a custom enrichment pipeline that need a large, high-coverage person-profile dataset via API as a base or fallback layer.
Agencies or in-house teams running their own waterfall enrichment who want a depth provider behind a real-time primary source.
Technical teams that want data ownership and control over matching logic, not a packaged sourcing UI.

Pros & Cons

What are People Data Labs's pros and cons?

Pros

Resume, education, and skills depth.
Large person dataset as a base or fallback layer.
Well-documented API with sample code in multiple languages, plus a free tier for testing.
ISO 27001 and SOC 2 Type 2 certified (per PDL's security page).
Flexible delivery - APIs, licensed feeds, Snowflake, Databricks - to fit your infrastructure.

Cons

Data completeness varies by source.
Contact coverage varies by record.
Not a recruiter-facing UI.
Requires engineering effort to turn into a sourcing workflow.

Reviews

What are people saying about People Data Labs?

Reviewers highlight PDL's dataset scale and the flexibility of its well-documented API for custom enrichment workflows, and it's rated 4.3 on G2 (17 reviews). It's used mainly by recruiting and talent-intelligence platforms building on its data. The common note: pricing scales with volume, so it suits platform and enterprise use more than small-team direct use.

Consolidated from 17 reviews across G2 · Updated July 15, 2026

Alternatives

How does People Data Labs compare to alternatives?

Feature	People Data Labs	CrustData	Fiber.ai
Category	Enrichment - Talent API	Enrichment - Talent API	Enrichment - Talent API
AI-first
API
MCP
GDPR
Best for	Agency, In-House	Agency, In-House	Agency, In-House

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FAQ

Frequently asked questions about People Data Labs

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