Category
B2B Contact Enrichment
Key features
Person enrichment and search APIs
Company enrichment and search APIs
Job posting data
01 — Overview
What is
People Data Labs
People Data Labs is a B2B data provider that supplies person, company and job posting data through APIs and bulk data feeds. Developers use it to enrich records, search for people or companies, clean messy inputs and power their own products. Data can be accessed by API or licensed as files delivered to AWS, GCP, Snowflake or Databricks.
The verdict
Person and company data for developers
02 — Who it’s for
Ideal Customer Profile
Built for product, engineering and data teams at companies building sales, marketing, recruiting and investment research tools, from startups to large data platforms.
03 — Capabilities
Key Features
Person enrichment and search APIs
Company enrichment and search APIs
Job posting data
IP, job title and skill enrichment
Autocomplete and data cleaner APIs
Bulk data licensing via cloud delivery
SDKs for Python, JavaScript, Ruby, Go and Rust
05 — Similar tools
Alternatives
06 — FAQ
Frequently Asked Questions
What is People Data Labs used for?
People Data Labs is used to enrich and search person and company records, add contact and firmographic details, and feed workforce data into sales, recruiting and research products.
Who is People Data Labs for?
It mainly serves developers and data teams building products in HR tech, sales and marketing, and investment research, rather than individual sellers working a prospect list.
Which APIs does People Data Labs offer?
PDL offers Person Enrichment, Person Search, Person Identify, Company Enrichment, Company Search, IP Enrichment, Job Posting Search, Job Title and Skill Enrichment, Autocomplete and Cleaner APIs, with SDKs in Python, JavaScript, Ruby, Go and Rust.
How can I get People Data Labs data besides the API?
PDL licenses full datasets as custom data feeds delivered through AWS, GCP or Snowflake, and shares data via Databricks Delta Share. It also connects with Zapier and Make.





