Find LinkedIn people and decision-makers with ICP filters - job title, seniority, function, company, location, industry and more. No cookies.

Inputs

Field	Type	Description
`keywords`	string	Free-text query matched across the whole profile (headline, summary, positions). Maximum 500 characters.
`job_title`	array	Job title(s) to filter by, e.g. CTO or Chief Technology Officer.
`seniority`	array	Seniority level(s), e.g. CXO, Vice President, Director.
`function`	array	Department/function, e.g. Engineering, Marketing, Sales, Finance, Operations, Product Management.
`company_name`	array	Company name(s), e.g. Stripe or Plaid.
`company_linkedin_urls`	array	LinkedIn company page URL(s), e.g. https://www.linkedin.com/company/salesforce/.
`company_ids`	array	Raw LinkedIn numeric company ID(s), e.g. 1441. Must be numbers.
`location`	array	City, region, or country, e.g. San Francisco or United Kingdom.
`industry`	array	Industry name(s), e.g. Software Development.
`company_headcount`	array	Company size range(s). Valid values: 1-10, 11-50, 51-200, 201-500, 501-1,000, 1,001-5,000, 5,001-10,000, 10,001+.
`company_type`	array	Company type(s). Valid values: Public, Private, Non Profit, Educational, Government.
`technology`	array	Technologies used by the person’s company, e.g. Salesforce.
`school`	array	University or school name(s), e.g. MIT.
`years_in_position`	array	Years in current role. Valid values: Less than 1 year, 1 to 2 years, 3 to 5 years, 6 to 10 years, More than 10 years.
`followers_count`	array	LinkedIn follower count range. Valid values: 1-50, 51-100, 101-1000, 1001-5000, 5001+.
`profile_language`	array	Language the profile is written in, e.g. English, Spanish, French, German.
`recently_changed_jobs`	boolean	Only people who recently started a new position.
`posted_on_linkedin`	boolean	Only people who have recently posted on LinkedIn.
`max_results`	integer	Maximum number of profiles to save. Enter 0 for no limit (up to a 60-page safety cap; 25 results per page).

What you get

Each dataset row includes:

full_name, first_name, last_name
title — current job title
company — current company
location
profile_url — LinkedIn profile URL
summary — profile summary/headline text
tenure_years / tenure_months — time in the current role
profile_picture, open_link
plus input_page and fetched_at

Use cases

Prospecting — build targeted lead lists for outbound by title, function, and company size.
TAM research — size and map a market before committing to a segment.
Account mapping — find the right stakeholders at target accounts.
Recruiting — source candidates by function, seniority, and location.
Enrichment / CRM backfill — feed name + title + company into your CRM.

Pricing

$4.00 per 1,000 results (Free tier)

The actor is billed pay-per-result on Apify — you only pay for rows returned. See the live pricing on the Apify listing.

Runnable example

Paste this into the actor’s input (JSON) on Apify and press Start:

{
  "keywords": "",
  "job_title": [],
  "seniority": [],
  "function": [],
  "company_name": [],
  "company_linkedin_urls": [],
  "company_ids": [],
  "location": [],
  "industry": [],
  "company_headcount": [],
  "company_type": [],
  "technology": [],
  "school": [],
  "years_in_position": [],
  "followers_count": [],
  "profile_language": [],
  "recently_changed_jobs": false,
  "posted_on_linkedin": false,
  "max_results": 100
}

Get started

Run LinkedIn People Search (ICP) on Apify →