Do recruiters use People Data Labs directly?

No. PDL is data infrastructure that other platforms build on, and recruiters meet it indirectly through a tool like Clay that has integrated the API. There is no interface, CRM connector or workflow layer, so a team without engineers gets nothing usable out of the box.

How fresh is the data?

This is the most common criticism in reviews. The dataset refreshes on a periodic cycle rather than on demand, so a record pulled today can still reflect a role someone left weeks ago. If your workflow depends on catching a job change quickly, pair PDL with a change-detection source rather than relying on it alone.

What do you get beyond a current job title?

Resume-level depth is the reason most technical teams pick it: full work history with start and end dates, education, skills and certifications, rather than just a current employer and title. That is what makes it usable as the base layer for a matching or scoring model.

How much does it cost?

There is a free tier of 100 lookups a month and a self-serve Pro plan from $98 a month. Enterprise agreements are custom-priced and considerably higher, which is the other recurring complaint in reviews: the pricing is built for platforms and large teams rather than small ones.

Is the data compliant and secure?

Per PDL's security page, it holds ISO 27001 certification and a SOC 2 Type 2 report. As with any aggregated people dataset, confirm your own lawful basis for processing before you put it into a candidate workflow, particularly for EU records.

Enrichment - Talent API

People Data Labs

Workforce data API supplying the platforms recruiters actually use

What is People Data Labs?

People Data Labs is a workforce data provider that supplies the platforms recruiters use rather than serving recruiters directly. It covers work history, education, skills, contact data, company firmographics and job postings collected from company career pages, delivered by API, by licensed feed, or straight into Snowflake and Databricks. Its depth of work history is the reason technical teams pick it as the base layer for a matching engine, a candidate scoring model, or a talent intelligence database of their own.

Features

What are People Data Labs's key features?

Person Enrichment API matches name, email, or phone to a structured professional record.

Person Search API accepts SQL-like boolean queries to filter the full person dataset.

Company Enrichment API returns firmographic fields including location, industry, and size.

IP Enrichment API maps an IP address to the associated company for inbound identification.

Data is licensable as bulk feeds via AWS, GCP, Snowflake, or Databricks.

Use Cases

How do recruiting teams use People Data Labs?

A staffing and recruiting agency building its own sourcing platform uses the Person Search API to query candidates by role, skills, and location, with full work history per record.
An in-house talent team uses resume-level data, including work history with dates, education and certifications, to build a candidate scoring model that goes beyond job title.
An engineering team licenses the bulk dataset to populate an internal talent intelligence database, joining it with internal hiring data in Snowflake or Databricks.
An AI agent calls the API to enrich a triggered profile with current employer, title, and contact data, then routes the result into an outreach workflow.

Fit

Who is People Data Labs best for?

Engineering teams needing resume-level work history as the base layer for matching or scoring
Agencies and in-house teams building their own candidate intelligence rather than buying one
Not for teams without engineers; there is no interface, connector or workflow layer

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 describe building on the API and getting the depth they were after in work history, education and skills, with several saying the documentation made integration straightforward. The recurring complaint is freshness: the dataset refreshes on a cycle rather than on demand, so a record pulled today can still show a role someone left weeks earlier. Others describe reaching the point where volume pricing stopped working for a small team, and a few report waiting a long time on support.

Consolidated from 17 reviews across G2 · Updated August 12, 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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