B2B data provider with large person and company datasets. API-first approach popular with engineers.
B2B data provider with large person and company datasets. API-first approach popular with engineers.
B2B data provider with large person and company datasets. API-first approach popular with engineers.
B2B data provider with large person and company datasets. API-first approach popular with engineers.
People Data Labs is wired into Deepline. 12 actions are available out of the box, runnable from the CLI or as a column step in an enrichment spreadsheet.
Quick start
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=peopledatalabs_autocomplete:{"field":"company","text":"open"}' --jsonAvailable actions
Autocomplete for person and company search fields
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=peopledatalabs_autocomplete:{"field":"company","text":"open"}' --jsonBatch enrichment for multiple organizations
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=peopledatalabs_bulk_organization_enrichment:{"domains":["example.com"]}' --jsonBatch enrichment for multiple people records
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=peopledatalabs_bulk_people_enrichment:{"details":[{"first_name":"Jane","last_name":"Doe","email":"jane.doe@example.com","domain":"example.com"}]}' --jsonNormalizing and cleaning raw company data inputs
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=peopledatalabs_company_clean:{"name":"Example Corp"}' --jsonRunning structured company search with PDL filters. Last-resort option for complex structured company queries; prefer payload files or heredocs when the query gets non-trivial.
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=peopledatalabs_company_search:{"sql":"SELECT * FROM company WHERE location_country=\"united states\" AND website IS NOT NULL"}' --jsonEnriching one company profile from domain-like identifiers
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=peopledatalabs_enrich_company:{"domain":"example.com"}' --jsonEnriching one person profile from limited identifiers
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=peopledatalabs_enrich_contact:{"email":"jane.doe@example.com"}' --jsonNormalizing and validating free-form location strings
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=peopledatalabs_location_clean:{"location":"{{location}}"}' --jsonCheck PDL account credit balance and remaining usage
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=peopledatalabs_check_credits:{}' --jsonResolving a person to a canonical PDL profile
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=peopledatalabs_person_identify:{"first_name":"Jane","last_name":"Doe","company":"example"}' --jsonRunning structured people search with PDL filters
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=peopledatalabs_person_search:{"sql":"SELECT * FROM person WHERE location_country=\"united states\" AND job_title_role=\"engineering\""}' --jsonNormalizing school and education institution names
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=peopledatalabs_school_clean:{"name":"Example University"}' --jsonReal quotes from 4 cited sources across review sites, blogs, Reddit, HN, X, and community forums.
“The API is PDLs best feature and the reason engineers recommend it. Documentation is thorough with working code samples in Python, Node.js, Ruby, Go.”
“PDL prioritizes avoiding false-positive Frankenstein merges — messy composite records where one persons email gets attached to another persons job title.”
“Users consistently praise the product for quality data and excellent customer service, highlighting ease of access and the responsiveness of the support team.”
“The same thing that makes PDL great for engineers makes it unusable for everyone else. Resume data quality depends on public profile completeness.”
B2B data provider with large person and company datasets. API-first approach popular with engineers.
People Data Labs is tracked for B2B data provider with large person and company datasets. API-first approach popular with engineers.
The cited source set leans positive, with 3 positive references out of 4. Deepline tracks 4 cited sources for this provider entry.
Check coverage fit, integration surface area, data freshness, contract terms, and whether the provider matches the team's target accounts and regions.
No vendor influence — your review is published as-is. Post anonymously or with your name.
5 questions reference this provider.
“...providers in sequence. Finally, use the email you found as input for People Data Labs or Wiza to get the LinkedIn profile URL and additional professional data.”
“For accurate headcount breakdowns by role, People Data Labs "Get Employee Count by Criteria" is your best bet. [[clay.com](https://www.clay.com/integrations/action/get-e...”
“...filters for country or other criteria if needed. This works with both People Data Labs and the Companies, People, and Jobs integrations, and is available on all Clay plans. [[documentation](https:...”
“...com/university/guide/datagma-integration-overview?8913605e_page=2]) • People Data Labs "Enrich Person" - Requires full name + company name together [[documentation](https://university.clay.com/doc...”
“Use our "Get Employee Count by Criteria" enrichment with People Data Labs to track department headcount by role filter. [[documentation](https://docs.clay.com/en/articles/9718817-get-...”
Community discussions and reviews from the last 30 days.
People Data Labs reference from SyncGTM
The API is PDLs best feature and the reason engineers recommend it. Documentation is thorough with working code samples in Python, Node.js, Ruby, Go.
People Data Labs reference from Prospeo
PDL prioritizes avoiding false-positive Frankenstein merges — messy composite records where one persons email gets attached to another persons job title.
People Data Labs reference from G2 Reviewers
Users consistently praise the product for quality data and excellent customer service, highlighting ease of access and the responsiveness of the support team.
People Data Labs reference from SalesForge
The same thing that makes PDL great for engineers makes it unusable for everyone else. Resume data quality depends on public profile completeness.
All opinions are community-sourced from real GTM practitioners. No vendor can claim or edit this page.