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Source former employees of a target company as paid experts

Find people who held a specific role at a specific company in a given period, verify it, and invite them to an expert call or AI-run interview.

  • Free API key
  • No credit card
  • Run your sample

A selection of teams that run this job on Forager · plus other teams on Forager

  • Clay
  • Juicebox
  • Nooks
  • Evident
  • Chamaeleon
  • HubSpot
  • DealSource
  • QuruAI

Uses POST /person_role_search/, POST /person_detail_lookup/ · People search API reference

What it costs: 5 credits per email found. A mobile or email lookup that returns nothing costs 0 credits. Enrichment and search are charged per request: credit pricing.

How the data flows

3 inputs → People data feed + People search + Personal emails + Person enrichment → 3 fields sample data
01 · Inputs
Company
Example Inc.
Title
Operations Lead
tenure window
linkedin.com/in/lee-sampler
02 · Forager
People data feed + People search + Personal emails + Person enrichment POST /person_role_search/
Match found
03 · Outputs
Lee SamplerOperations Lead · Example Inc.
expert candidates
2026-10-01
verified role history
Operations Lead
personal email
lee.s@example.net
name
Lee Sampler
mobile
+1 (312) 555-0107
work email
lee@example.com
3 fields in the responseexample data

Steps

  1. Search past roles with POST /person_role_search/ (organizations, role_is_current = false, role_position_end_date window)
  2. Verify employment history with POST /person_detail_lookup/ before compliance screening
  3. Reach candidates on personal_email (they have left the company)
  4. Schedule calls or AI-run interviews and record credentials
import json, os, requests

BASE = "https://api-v2.forager.ai/api/{account_id}/datastorage"
HEADERS = {"X-API-KEY": os.environ["FORAGER_KEY"]}
body = json.load(open("request.json"))  # request fields: see the API reference

# 1. Search past roles with POST /person_role_search/ (organizations,
# role_is_current = false, role_position_end_date window)
r1 = requests.post(f"{BASE}/person_role_search/", headers=HEADERS, json=body)

# 2. Verify employment history with POST /person_detail_lookup/ before
# compliance screening
r2 = requests.post(f"{BASE}/person_detail_lookup/", headers=HEADERS, json=body)

# 3. Reach candidates on personal_email (they have left the company)

# 4. Schedule calls or AI-run interviews and record credentials
Generated from the recipe stepsRequest fields: API reference

Run it yourself: People search API reference

  • Free API key
  • No credit card
  • Run your sample

Inputs and outputs

InputsOutputs
target companyexpert candidates
role/functionverified role history
tenure windowpersonal_email

Questions about this recipe

How do expert networks find former employees of a company?

Search past roles with POST /person_role_search/ (organizations, role_is_current = false, role_position_end_date window). Reach candidates on personal_email (they have left the company).

What does it cost to source former employees of a target company as paid experts?

People search: people search 1 credit per request and people search: role details 1 credit per request, charged whether or not data comes back. Personal emails: 5 credits per personal email found, and a personal email lookup that finds nothing costs 0 credits. Person enrichment: 1 credit per request, charged whether or not data comes back. People data feed is a flat annual licence, global or regional, not priced in credits. Growth's 8,250 monthly credits cover 1,650 emails or 8,250 search requests, or a mix. Self-serve plans are Starter, Growth, Pro and Scale. See plans and prices

What do I need to run this recipe, and what comes back?

You send role/function, target company and tenure window. You get back expert candidates, personal_email and verified role history, as JSON. You also need a Forager API key, which comes with a free account.

How can I verify an expert's employment history before a call?

Verify employment history with POST /person_detail_lookup/ before compliance screening. Schedule calls or AI-run interviews and record credentials.

Is there a free way to try Forager on this workflow?

Yes. Request a sample extract of the people data feed on a 30-minute call and check the fields against your own records before you license it.

When should I run this workflow?

When a consultant or investor requests experts on a company or market. Consultants and analysts get relevant former-employee experts within hours.

Which Forager products does this recipe use?

People data feed, people search, personal emails and person enrichment. People data feed: a licensed file of 800M+ professional profiles, refreshed on a schedule and delivered to Snowflake or S3. People search: find the people who hold a role at target companies, filtered by title, seniority, department and location.

How do you check data quality?

The test that counts is your own: send a list of profiles you care about. We run it and show you what we find, number by number, so you can measure hit rate and connect rate yourself.

How do I find former employees of a company for expert calls?

Reach candidates on personal_email (they have left the company). Schedule calls or AI-run interviews and record credentials.

Which tools can run this workflow?

Native in Clay and Zapier, partner-built in Deepline and Cargo, delivered as a data share to Snowflake, Databricks and Amazon S3 and called through the API from Google BigQuery, your own code, Make and n8n. Or call the endpoints in the steps above from your own code with one API key.

How many steps is this workflow?

4 steps: search past roles with POST /person_role_search/ (organizations, role_is_current = false, role_position_end_date window), verify employment history with POST /person_detail_lookup/ before compliance screening, reach candidates on personal_email (they have left the company) and schedule calls or AI-run interviews and record credentials.

Is there a contract or minimum commitment?

No contract to start: a free account comes with $5 in credits. To keep using Forager, choose a monthly or yearly plan. Monthly plans cancel anytime and unused credits roll over; yearly plans grant all credits upfront and cost 10% less. Larger volumes are agreed with our team.

A selection of teams that run this job on Forager · plus other teams on Forager

  • Clay
    • GTM workflow builders

    Selected use case: Forager mobile numbers, emails and people data inside Clay tables.

  • Juicebox
    • AI candidate sourcing

    Selected use case: Forager data behind its PeopleGPT search and sourcing agents.

  • Nooks
    • Power & parallel dialers

    Selected use case: mobile numbers inside their dialer.

  • Evident
    • Market intelligence

    Publisher of the Evident AI Index, which ranks banks, insurers and payments firms on AI maturity.

  • Chamaeleon
    • VC & PE research

    Early-stage venture firm that analyses companies with its own AI and quantitative engine.

  • HubSpot
    • CRM add-ons

    Selected use case: enriching contact and company records with people, company and job-posting data.

  • DealSource
    • VC & PE research

    Selected use case: company and people data for private-company profiles.

  • QuruAI
    • VC & PE research

    Expert-research platform that matches a research thesis to operators and practitioners for AI-led interviews.

Start building

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Send us a list. We run it, show you what we find, then talk volume and terms.

  • $5 free credits
  • No credit card
  • Run your sample
Platforms and teams that build on Forager
  • Clay
  • Juicebox
  • Nooks
  • Andela
  • HubSpot
  • SeekOut