PEOPLE SEARCH DB

Profile Search With Zero Scraping Wait

Search Datamagnet's own database of enriched professional profiles by title, company, and location. Instant responses, 50 results per page — then re-enrich your shortlist live when freshness matters.

Start Searching Read Documentation

POST/api/v1/people/search/db

{
  "full_name": "Jane Doe",
  "current_job_title": "Backend Engineer",
  "current_company": "Stripe",
  "location_city": "San Francisco",
  "profile_link": "linkedin.com/in/jane-doe-1234"
}

Instant

No live-scrape latency

50

Results per page

10 credits

Flat per search

OR + AND

Multi-value filter logic

Search the store, enrich the shortlist

DB search finds candidates instantly; the People API fetches the live profile for the ones that matter. Two endpoints, one workflow.

POST /api/v1/people/search/db
curl -X POST \
  'https://api.datamagnet.co/api/v1/people/search/db' \
  -H 'Authorization: Bearer {token}' \
  -H 'Content-Type: application/json' \
  -d '{
    "keyword": "software engineer",
    "cities": ["San Francisco"],
    "company_linkedin_urls":
      ["https://www.linkedin.com/company/stripe/"],
    "exclude_company_linkedin_urls":
      ["https://www.linkedin.com/company/competitor-co/"],
    "limit": 50
  }'

→ 200 OK · instant · 10 credits

{  "message": [    {      "full_name": "Jane Doe",      "profile_headline": "Backend Engineer at Stripe",      "current_job_title": "Backend Engineer",      "current_company": "Stripe",      "location_city": "San Francisco",      "profile_link": "linkedin.com/in/jane-doe-1234"    }, ...  ]}

1. Search instantly

Query previously enriched profiles with combined filters. Responses come straight from the store — no scraping queue, no per-profile wait.

2. Cut with include/exclude

Target one company's engineers while excluding your own, or a competitor's. Company filters accept URLs, universal names, or numeric IDs.

3. Re-enrich the winners live

Push your shortlist through the People API (1 credit each) for the profile as it exists right now — or attach a job_change signal and let it watch.

Every filter, multi-value by default

Values within a field are OR'd; fields are AND'd together.

keyword

Name & headline search — "software engineer"

job_titles

["CTO", "VP of Engineering"] — partial match

seniority

["VP", "C-suite"] — derived from the title

functions

["Sales", "Software Engineering"] — 40 departments

companies

["Stripe", "Plaid"] — current company

company_linkedin_urls

URL, universal name, or numeric ID

exclude_company_linkedin_urls

Drop competitors or your own team

past_companies

["Google"] — where they used to work

cities / states / countries

["San Francisco"], ["California"]

locations

["Greater New York City Area"]

changed_jobs_within_days

90 — started somewhere new recently

min / max_months_in_role

Tenure window in the current job

schools / degree_levels

["Stanford"], ["bachelor", "master"]

fields_of_study

["Computer and Information Sciences"]

skills / languages

["Kubernetes"], ["German"]

certifications

Name and issuing organization

employment_types

["contract", "freelance"] — current role

employer_industries

["Financial Services"] — where they work

has_email / has_phone

Only profiles we hold contact data for

open_to_work

Badge seen · tri-state, not an on/off switch

Need maximum freshness instead? Use ICP Search or live people search — same API key.

Frequently asked questions

It's Datamagnet's own store of previously enriched profiles, exposed as a search endpoint. Because it queries already-collected records instead of fetching from the live professional network, results return instantly and searches never consume live collection capacity.

Live searches query the professional network at request time — maximum freshness, at live-lookup speed. The DB search trades a little freshness for instant responses over profiles Datamagnet has already enriched. Many teams use DB search for fast candidate pools, then re-enrich the shortlist live for current data.

Values within one field are OR'd (cities: ["San Francisco", "New York"] matches either), and different fields are AND'd together. Company filters accept a LinkedIn URL, universal name, or numeric ID, with matching exclude support. Filters with a fixed vocabulary — seniority, functions, degree levels, employment types — reject a value they don't recognise and tell you what is accepted, instead of returning an empty page.

A flat 10 credits per search, up to 50 results per page. Re-enriching any result live afterwards is the standard 1 credit via the People API.

Run your first search with 10 free credits

One search returns up to 50 profiles, instantly. No credit card required.

  • Instant Responses
  • Include/Exclude Companies
  • Pairs with Live Enrichment
Get API Key Read Docs

Interactive Demo

~15 minutes

1

Get your API key

1 min
2

POST your filters

1 min
3

Get 50 profiles

Instant