Find companies with large engineering teams on a legacy stack

Help an IT services or modernisation firm find companies that still employ many engineers skilled in a legacy technology, and reach the leader who owns that estate.

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Uses POST /person_role_search/, POST /person_role_search/totals/, POST /organization_search/ · 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

2 inputs → People search + Company enrichment + Work emails → 4 fields sample data

01 · Inputs

Full name + company

Alex Sample · Example Inc.

Company

Example Inc.

02 · Forager

People search + Company enrichment + Work emails POST /person_role_search/

Match found

03 · Outputs

Alex SampleChief Operating Officer · Example Inc.

industry and size: 120
technology leader: Python, SQL
work email: alex@example.com
name: Alex Sample
title: Chief Operating Officer
mobile: +1 (212) 555-0199

4 fields in the responseexample data

Steps

Search current engineers with the skill using POST /person_role_search/ (person_skills, role_is_current) and count matches per organization
Size each shortlisted team with POST /person_role_search/totals/ (organizations, person_skills)
Add size and industry with POST /organization_search/ (organization_ids)
Find the CIO, CTO or VP Engineering with POST /person_role_search/ and fetch work_email via /person_contacts_lookup/work_emails/

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 current engineers with the skill using POST /person_role_search/
# (person_skills, role_is_current) and count matches per organization
r1 = requests.post(f"{BASE}/person_role_search/", headers=HEADERS, json=body)

# 2. Size each shortlisted team with POST /person_role_search/totals/
# (organizations, person_skills)
r2 = requests.post(f"{BASE}/person_role_search/totals/", headers=HEADERS, json=body)

# 3. Add size and industry with POST /organization_search/
# (organization_ids)
r3 = requests.post(f"{BASE}/organization_search/", headers=HEADERS, json=body)

# 4. Find the CIO, CTO or VP Engineering with POST /person_role_search/ and
# fetch work_email via /person_contacts_lookup/work_emails/
r4 = requests.post(f"{BASE}/person_role_search/", headers=HEADERS, json=body)

# 1. POST /person_role_search/
curl -X POST \
  https://api-v2.forager.ai/api/{account_id}/datastorage/person_role_search/ \
  -H "X-API-KEY: $FORAGER_KEY" \
  -H "Content-Type: application/json" \
  -d @request.json

# 2. POST /person_role_search/totals/
curl -X POST \
  https://api-v2.forager.ai/api/{account_id}/datastorage/person_role_search/totals/ \
  -H "X-API-KEY: $FORAGER_KEY" \
  -H "Content-Type: application/json" \
  -d @request.json

# 3. POST /organization_search/
curl -X POST \
  https://api-v2.forager.ai/api/{account_id}/datastorage/organization_search/ \
  -H "X-API-KEY: $FORAGER_KEY" \
  -H "Content-Type: application/json" \
  -d @request.json

Generated from the recipe stepsRequest fields: API reference

Run it yourself: People search API reference

Get a free API key + $5 Get a sample run

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Inputs and outputs

Inputs	Outputs
legacy skill names	`companies ranked by team size on the skill`
company filters	`industry and size`
	`technology leader`
	`work_email`

Questions about this recipe

How can an IT services firm find companies with large legacy engineering teams?

Search current engineers with the skill using POST /person_role_search/ (person_skills, role_is_current) and count matches per organization. Find the CIO, CTO or VP Engineering with POST /person_role_search/ and fetch work_email via /person_contacts_lookup/work_emails/.

What does it cost to find companies with large engineering teams on a legacy stack?

People search: people search 1 credit per request and people search: role details 1 credit per request, charged whether or not data comes back. Company enrichment: 1 credit per request, charged whether or not data comes back. Work emails: 5 credits per work email found, and a work email lookup that finds nothing costs 0 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 company filters and legacy skill names. You get back companies ranked by team size on the skill, industry and size, technology leader and work_email, as JSON. You also need a Forager API key, which comes with a free account.

Can I count how many engineers at a company have a given skill?

Help an IT services or modernisation firm find companies that still employ many engineers skilled in a legacy technology, and reach the leader who owns that estate. The firm pitches modernisation to companies that clearly run the technology at scale.

Can I test people search for free?

Yes. Create a free account at app.forager.ai: it comes with $5 in free credits and an API key, and there is no credit card to sign up. Run it on records you already know, or book a demo and send us a list: we run it and show you what we find.

When should I run this workflow?

When a services firm launches a migration or modernisation offer for a specific technology. The firm pitches modernisation to companies that clearly run the technology at scale.

Which Forager products does this recipe use?

People search, company enrichment and work emails. People search: find the people who hold a role at target companies, filtered by title, seniority, department and location. Company enrichment: firmographics for a company from its domain or name: industry, headcount, locations, growth and open roles.

How do I know the data is right?

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 companies using legacy technology?

Which tools can run this workflow?

Native in Clay and Zapier, partner-built in Deepline and Cargo and called through the API from 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 current engineers with the skill using POST /person_role_search/ (person_skills, role_is_current) and count matches per organization, size each shortlisted team with POST /person_role_search/totals/ (organizations, person_skills), add size and industry with POST /organization_search/ (organization_ids) and find the CIO, CTO or VP Engineering with POST /person_role_search/ and fetch work_email via /person_contacts_lookup/work_emails/.

Do I need a subscription?

Not to test: 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.

Find companies with large engineering teams on a legacy stack

How the data flows

Steps

Inputs and outputs

Questions about this recipe

How can an IT services firm find companies with large legacy engineering teams?

What does it cost to find companies with large engineering teams on a legacy stack?

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

Can I count how many engineers at a company have a given skill?

Can I test people search for free?

When should I run this workflow?

Which Forager products does this recipe use?

How do I know the data is right?

How do I find companies using legacy technology?

Which tools can run this workflow?

How many steps is this workflow?

Do I need a subscription?

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