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Monitor a company watchlist's hiring for research notes

Give analysts a weekly count of open and new job postings for each company on a coverage list, by function, as one input to research notes.

  • Free API key
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  • Run your sample

Uses POST /organization_search/, POST /job_search/totals/ · Company enrichment API reference

What it costs: Charged per request: credit pricing.

How the data flows

2 inputs → Job postings API + Company enrichment → 3 fields sample data
01 · Inputs
Company domain
examplecapital.example
Search
Chief Financial Officer · Chicago, IL
02 · Forager
Job postings API + Company enrichment POST /organization_search/
Match found
03 · Outputs
Lee SamplerChief Financial Officer · Example Capital
name
Lee Sampler
title
Chief Financial Officer
mobile
+1 (312) 555-0107
work email
lee@examplecapital.example
company
Example Capital
3 fields in the responseexample data

Steps

  1. Resolve each watchlist company to an organization id with POST /organization_search/ (domains)
  2. Count new postings per company for the week with POST /job_search/totals/ (organization_ids, date_featured_start, date_featured_end)
  3. Split counts by function with boolean title queries (for example engineering, sales, operations)
  4. Store the weekly series per company and flag sharp changes for the covering analyst
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. Resolve each watchlist company to an organization id with POST
# /organization_search/ (domains)
r1 = requests.post(f"{BASE}/organization_search/", headers=HEADERS, json=body)

# 2. Count new postings per company for the week with POST
# /job_search/totals/ (organization_ids, date_featured_start,
# date_featured_end)
r2 = requests.post(f"{BASE}/job_search/totals/", headers=HEADERS, json=body)

# 3. Split counts by function with boolean title queries (for example
# engineering, sales, operations)

# 4. Store the weekly series per company and flag sharp changes for the
# covering analyst
Generated from the recipe stepsRequest fields: API reference

Run it yourself: Company enrichment API reference

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

Inputs and outputs

InputsOutputs
company watchlist (domains)weekly new postings per company
function keywordspostings by function
week-over-week change

Questions about this recipe

How can analysts track hiring at the companies they cover?

Resolve each watchlist company to an organization id with POST /organization_search/ (domains). Count new postings per company for the week with POST /job_search/totals/ (organization_ids, date_featured_start, date_featured_end).

What does it cost to monitor a company watchlist's hiring for research notes?

Job postings API: 2 credits per request, charged whether or not data comes back. Company enrichment: 1 credit per request, charged whether or not data comes back. Growth's 8,250 monthly credits cover 8,250 company lookups, 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 watchlist (domains) and function keywords. You get back postings by function, week-over-week change and weekly new postings per company, as JSON. You also need a Forager API key, which comes with a free account.

Is there an API that counts job postings by company and date?

This recipe uses Forager Job postings API and Company enrichment. Job postings API: Search live and historical job postings by company, title and location to spot hiring signals. Give analysts a weekly count of open and new job postings for each company on a coverage list, by function, as one input to research notes.

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

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?

Weekly research cycle, or a company on the watchlist reports results or announces an expansion. Analysts see hiring changes at covered companies each week without buying a full feed for a short list.

Which Forager products does this recipe use?

Job postings API and company enrichment. Job postings API: search live and historical job postings by company, title and location to spot hiring signals. Company enrichment: firmographics for a company from its domain or name: industry, headcount, locations, growth and open roles.

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.

Which tools can run this workflow?

Native in Clay, 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: resolve each watchlist company to an organization id with POST /organization_search/ (domains), count new postings per company for the week with POST /job_search/totals/ (organization_ids, date_featured_start, date_featured_end), split counts by function with boolean title queries (for example engineering, sales, operations) and store the weekly series per company and flag sharp changes for the covering analyst.

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.

Where does Forager data come from, and is it compliant?

Bring your legal and security questions to a call with our team, and we take you through how Forager data is sourced and the terms that cover use by teams running this workflow. Forager's privacy policy is public, and anyone can send a request about their own personal data through the consumer rights form on forager.ai.

Start building

Put people, company and job data your users can act on inside your product

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

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