LinkedIn Hiring Pulse

Spot the accounts in a buying window. Enter LinkedIn company URLs; the Actor reads LinkedIn's own headcount and hiring trends, open roles by function, median tenure, and alumni counts, then returns a hiring-pulse score per account. No cookies, no login.

Try it on Apify See example code

users, last 30 days: 1
runs, last 30 days: 6
runs, all time: 9
users, all time: 2

Live figures from Apify's public API, refreshed every hour.

LinkedIn Hiring Pulse specifications

Platform	LinkedIn
Apify actor	`data-slayer/linkedin-hiring-pulse`
Price	$50.00 per 1,000 results, plus $0.05 per run start
Inputs	`company_urls`
Output	19 documented fields per row
Export formats	JSON, CSV, Excel, XML, HTML
LinkedIn login or cookies	Not required
Integrations	Apify REST API, JavaScript and Python clients, n8n, Make, Zapier
Last updated	September 25, 2026 (version 1.0.4)

Run it from code

Replace the example input with your own. You need an Apify API token, which you can create in your Apify account settings.

POST /v2/acts/data-slayer~linkedin-hiring-pulse/run-sync-get-dataset-items

request

curl -X POST "https://api.apify.com/v2/acts/data-slayer~linkedin-hiring-pulse/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "company_urls": [
      "https://www.linkedin.com/company/example"
    ]
  }'

each result row19 fields

{
  "schemaVersion": string,
  "checkedAt": string,
  "companyUrl": string,
  "companyName": string,
  "companyIndustry": string,
  "companyHeadcount": string,
  "totalEmployees": integer,
  "headcountGrowthPct": number,
  "headcountGrowthPeriod": string,
  "totalHires": integer,
  "recentHireCount": integer,
  "hiringTrend": string,
  "totalOpenRoles": integer,
  "openRolesByFunction": array,
  // + 5 more fields
}

Input parameters

1 parameter you can set for each run.

parameter	type	description
`company_urls`required	array	Company URLs LinkedIn company page URLs or slugs to score for hiring momentum.

Output fields

Each result is one row with these 19 fields, taken from the scraper's dataset schema.

field	type	description
`schemaVersion`	string	Schema version
`checkedAt`	string	Checked at
`companyUrl`	string	Company URL
`companyName`	string	Company
`companyIndustry`	string	Industry
`companyHeadcount`	string	Headcount range
`totalEmployees`	integer	Total employees
`headcountGrowthPct`	number	Headcount growth %
`headcountGrowthPeriod`	string	Growth period
`totalHires`	integer	Total hires tracked
`recentHireCount`	integer	Most recent month hires
`hiringTrend`	string	up \| flat \| down
`totalOpenRoles`	integer	Total open roles
`openRolesByFunction`	array	Open roles by function
`topHiringFunction`	string	Top hiring function
`medianEmployeeTenure`	string	Median tenure
`alumniCount`	integer	Alumni count
`hiringScore`	integer	0-100; higher means the account is growing headcount faster
`collectedAt`	string	Collected at

Pricing

Pay-per-event pricing, billed through your Apify account. Where plan tiers are listed, paid Apify plans get a lower price per event.

event	price	per 1,000, by Apify plan
Company Scored Charged once per company scored row written.	$0.05 each	$50.00 on every plan
Actor Start Charged when the Actor starts running. Number of events charged depends on Actor memory (one event per GB, minimum one event).	$0.05 per run	Charged once per run

Questions

How much does LinkedIn Hiring Pulse cost?

LinkedIn Hiring Pulse uses pay-per-event pricing on Apify. The main charge is $0.05 per company scored, which is $50.00 per 1,000. Each run also has a start fee of $0.05.

Do I need to log in to LinkedIn or share cookies?

No. LinkedIn Hiring Pulse works without your LinkedIn login or cookies. You only need an Apify account to run it.

Can I use LinkedIn Hiring Pulse through an API?

Yes. Send a POST request to the Apify API with your input and read the results as JSON, or use Apify's official clients for JavaScript and Python. The code examples on this page are ready to copy.

What data does LinkedIn Hiring Pulse return?

Each result is a structured row. Its dataset schema lists 19 fields, including schemaVersion, checkedAt, companyUrl, companyName, and companyIndustry.

What formats can I export?

Results are stored in an Apify dataset. You can read it through the API as JSON, or download it as CSV, Excel, XML or HTML.

LinkedIn Hiring Pulse

LinkedIn Hiring Pulse specifications

Run it from code

Input parameters

Output fields

Pricing

Questions

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