# LinkedIn People Search (ICP) (`data-slayer/linkedin-people-search`) Actor

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

- **URL**: https://apify.com/data-slayer/linkedin-people-search.md
- **Developed by:** [Data Slayer](https://apify.com/data-slayer) (community)
- **Categories:** Lead generation, Social media, Business
- **Stats:** 53 total users, 11 monthly users, 76.3% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$4.00 / 1,000 profiles

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## LinkedIn People Search (ICP)

Find LinkedIn people and decision-makers at scale with ICP filters — job title, seniority, function, company, location, industry and more — and export names, titles, companies, locations and profile URLs to JSON, CSV or Excel.

**Cookieless · Fresh data · No LinkedIn login or account risk.**

### Watch the demo

Video tutorial coming soon.

### What you get

Each result is one person, ready for prospecting, CRM import or enrichment:

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

Output example:

```json
{
  "full_name": "Dario Morelli",
  "first_name": "Dario",
  "last_name": "Morelli",
  "title": "Vice President of Engineering",
  "company": "NETSOL Technologies Inc.",
  "location": "London, England, United Kingdom",
  "profile_url": "https://www.linkedin.com/in/dario-morelli",
  "summary": "Engineering leader focused on...",
  "tenure_years": 3,
  "tenure_months": 38,
  "profile_picture": "https://media.licdn.com/...",
  "open_link": false,
  "input_page": 1,
  "fetched_at": "2026-09-24T00:00:00Z"
}
```

### Input

All filters are optional — combine as many as you need. Every value is plain, human-readable text; the actor resolves it internally.

| Field | Type | What it does |
|---|---|---|
| `keywords` | `string` | Free-text search across headline, summary and positions (max 500 chars) |
| `job_title` | `string[]` | Job titles, e.g. `CTO`, `Chief Technology Officer` |
| `seniority` | `string[]` | e.g. `CXO`, `Vice President`, `Director` |
| `function` | `string[]` | e.g. `Engineering`, `Marketing`, `Sales`, `Finance`, `Operations`, `Product Management` |
| `company_name` | `string[]` | Company names, e.g. `Stripe`, `Plaid` |
| `company_linkedin_urls` | `string[]` | Company LinkedIn URLs |
| `company_ids` | `string[]` | Numeric LinkedIn company IDs, e.g. `1441` |
| `location` | `string[]` | e.g. `San Francisco`, `United Kingdom` |
| `industry` | `string[]` | e.g. `Software Development` |
| `company_headcount` | `string[]` | Company size bands, `1-10` … `10,001+` |
| `company_type` | `string[]` | `Public`, `Private`, `Non Profit`, `Educational`, `Government` |
| `technology` | `string[]` | Technologies the company uses, e.g. `Salesforce` |
| `school` | `string[]` | e.g. `MIT` |
| `years_in_position` | `string[]` | `Less than 1 year` … `More than 10 years` |
| `followers_count` | `string[]` | Profile follower bands, `1-50` … `5001+` |
| `profile_language` | `string[]` | e.g. `English`, `German` |
| `recently_changed_jobs` | `boolean` | Only people who recently changed jobs (default `false`) |
| `posted_on_linkedin` | `boolean` | Only people who recently posted on LinkedIn (default `false`) |
| `max_results` | `integer` | Maximum results (default 100, `0` = no limit) |

### How to use it

1. Add any combination of filters.
2. Set **Maximum results** (default 100; `0` = no limit).
3. Click **Start**.
4. Download the dataset as JSON, CSV, Excel, XML or another Apify export format.

Example — VPs of Engineering at mid-size software companies in the UK:

```json
{
  "job_title": ["VP of Engineering", "Head of Engineering"],
  "function": ["Engineering"],
  "industry": ["Software Development"],
  "company_headcount": ["51-200", "201-500", "501-1,000"],
  "location": ["United Kingdom"],
  "max_results": 250
}
```

### 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.
- **CRM backfill** — feed name, title and company straight into your CRM.

### Pricing

**$4 per 1,000 profiles** (`$0.004` per profile). You are charged only for the results returned. Results arrive 25 per page.

### Integrations

Run the actor from Apify Console or call it through the Apify API and retrieve structured results from the default dataset. Feed results to HubSpot, Salesforce, Clay, Make, Zapier, n8n, webhooks, Google Sheets, Airtable, or Apify MCP Server for AI agents. Use schedules to refresh a search automatically.

### Other LinkedIn Actors by data-slayer

| Actor | What it does |
|---|---|
| [LinkedIn Company Search (ICP)](https://apify.com/data-slayer/linkedin-company-search) | Find companies by industry, size, location and tech stack |
| [LinkedIn Company Employees](https://apify.com/data-slayer/linkedin-company-employees) | Employees at a company, filtered by title, seniority and function |
| [LinkedIn Job Change Tracker](https://apify.com/data-slayer/linkedin-job-change-tracker) | People who recently changed jobs |
| [LinkedIn Job Scraper](https://apify.com/data-slayer/linkedin-job-scraper) | Full details for LinkedIn job postings |
| [LinkedIn Profile Scraper](https://apify.com/data-slayer/linkedin-profile-scraper) | Full profile data from any LinkedIn profile URL |
| [LinkedIn Profile Posts Scraper](https://apify.com/data-slayer/linkedin-profile-posts-scraper) | Recent posts from a profile, with engagement metrics |
| [LinkedIn Company Scraper](https://apify.com/data-slayer/linkedin-company-scraper) | Full company profile data |
| [LinkedIn Company Posts Scraper](https://apify.com/data-slayer/linkedin-company-posts-scraper) | Recent posts from any company page |
| [LinkedIn Post Performance Scraper](https://apify.com/data-slayer/linkedin-post-analytics-scraper) | Likes, comments, shares and reaction breakdown for any post |
| [LinkedIn Post Engagers Scraper](https://apify.com/data-slayer/linkedin-post-engagers-email-finder-no-cookies) | Everyone who engaged with a post — commenters, reactors, reposters |
| [LinkedIn Post Comments Scraper](https://apify.com/data-slayer/linkedin-post-comments) | Every comment on a post, with commenter profiles |
| [LinkedIn Post Reactions Scraper](https://apify.com/data-slayer/linkedin-post-reactions) | Everyone who reacted to a post, with reactor profiles |
| [LinkedIn Post Reposts Scraper](https://apify.com/data-slayer/linkedin-post-reposts) | Everyone who reposted or shared a post |
| [LinkedIn Profile Engagers Scraper](https://apify.com/data-slayer/linkedin-audience-email-finder-no-cookies) | Everyone who engaged across a profile's recent posts, ranked by engagement |
| [LinkedIn Profile Reactions Scraper](https://apify.com/data-slayer/linkedin-profile-reactions) | Reactions a profile left on other people's posts |
| [LinkedIn Profile Comments Scraper](https://apify.com/data-slayer/linkedin-profile-comments) | Comments a profile left on other people's posts |

### Which LinkedIn actor should I use?

| I have… | And I want… | Use |
|---|---|---|
| Search filters | People matching an ICP | LinkedIn People Search (ICP) |
| Search filters | Companies matching an ICP | LinkedIn Company Search (ICP) |
| A company URL | Its employees, by title/seniority/function | LinkedIn Company Employees |
| A company URL | People who recently changed jobs | LinkedIn Job Change Tracker |
| A job URL or ID | Full job details | LinkedIn Job Scraper |
| Profile URL(s) | Full profile data | LinkedIn Profile Scraper |
| Profile URL(s) | Their recent posts & engagement | LinkedIn Profile Posts Scraper |
| A company URL | Full company profile | LinkedIn Company Scraper |

### FAQ

#### Can I search LinkedIn people without login or cookies?

Yes. The actor uses public search data and requires no LinkedIn account, session cookies or browser extension.

#### What does "ICP" mean?

Ideal Customer Profile. The filters describe your target buyer — title, seniority, function, company size, industry, location — and the actor returns the people who match.

#### Can I filter by company?

Yes — by company name, LinkedIn company URL or numeric company ID.

#### Can I combine filters?

Yes. Every filter is optional; combine as many as you need to narrow the result set.

#### How many results can I get?

Set **Maximum results** — the default is 100 and `0` means no limit. Results arrive 25 per page.

#### Is this a LinkedIn people search API?

Yes. Call the actor through the Apify API, receive a run ID and retrieve structured results from the default dataset. AI agents can also call it through Apify MCP Server.

#### What formats can I export?

JSON, CSV, Excel, XML and the other Apify dataset export formats.

#### How much does it cost?

`$0.004` per profile — **$4 per 1,000 profiles**.

### Limits and data notes

- Only process data you are permitted to use and comply with applicable laws and platform terms.
- Filter values are resolved by the provider; an unrecognised value can be reported in the run summary's `filter_errors`.
- Field availability varies by profile.

### Feedback and support

Found a bug or need a filter added? Open an issue on the actor's Apify page and it will be reviewed.

### Related actors

More from the same portfolio. Apify only auto-recommends actors in the same category, so here are the rest of ours:

| Actor | What it does |
|---|---|
| [LinkedIn Account Intent Feed](https://apify.com/data-slayer/linkedin-account-intent-feed) | LinkedIn workflow |
| [LinkedIn Buying-Committee Mapper](https://apify.com/data-slayer/linkedin-buying-committee-mapper) | LinkedIn workflow |
| [LinkedIn Champion Tracker](https://apify.com/data-slayer/linkedin-champion-job-change-tracker) | LinkedIn workflow |
| [LinkedIn Company Employees](https://apify.com/data-slayer/linkedin-company-employees) | LinkedIn workflow |
| [LinkedIn Company Posts Scraper](https://apify.com/data-slayer/linkedin-company-posts-scraper) | LinkedIn workflow |
| [LinkedIn Company Scraper](https://apify.com/data-slayer/linkedin-company-scraper) | LinkedIn workflow |
| [LinkedIn Company Search (ICP)](https://apify.com/data-slayer/linkedin-company-search) | LinkedIn workflow |
| [LinkedIn Competitor Content Intelligence](https://apify.com/data-slayer/linkedin-competitor-content-intelligence) | LinkedIn workflow |
| [LinkedIn Competitor Hijack Leads](https://apify.com/data-slayer/linkedin-competitor-hijack-leads) | LinkedIn workflow |
| [LinkedIn Engagement Audience Builder](https://apify.com/data-slayer/linkedin-engagement-audience-builder) | LinkedIn workflow |
| [LinkedIn Executive Post Monitor](https://apify.com/data-slayer/linkedin-executive-post-monitor) | LinkedIn workflow |
| [LinkedIn Hiring Pulse](https://apify.com/data-slayer/linkedin-hiring-pulse) | LinkedIn workflow |
| [LinkedIn Job Change Tracker](https://apify.com/data-slayer/linkedin-job-change-tracker) | LinkedIn workflow |
| [LinkedIn Job Scraper](https://apify.com/data-slayer/linkedin-job-scraper) | LinkedIn workflow |
| [LinkedIn Market Map Builder](https://apify.com/data-slayer/linkedin-market-map-builder) | LinkedIn workflow |
| [LinkedIn Post Comments](https://apify.com/data-slayer/linkedin-post-comments) | LinkedIn workflow |
| [LinkedIn Post Engagers Scraper](https://apify.com/data-slayer/linkedin-post-engagers-email-finder-no-cookies) | LinkedIn workflow |
| [LinkedIn Post Performance Scraper](https://apify.com/data-slayer/linkedin-post-analytics-scraper) | LinkedIn workflow |
| [LinkedIn Post Reactions](https://apify.com/data-slayer/linkedin-post-reactions) | LinkedIn workflow |
| [LinkedIn Post Reposts](https://apify.com/data-slayer/linkedin-post-reposts) | LinkedIn workflow |
| [LinkedIn Profile Comments](https://apify.com/data-slayer/linkedin-profile-comments) | LinkedIn workflow |
| [LinkedIn Profile Engagers Scraper](https://apify.com/data-slayer/linkedin-audience-email-finder-no-cookies) | LinkedIn workflow |
| [LinkedIn Profile Posts Scraper](https://apify.com/data-slayer/linkedin-profile-posts-scraper) | LinkedIn workflow |
| [LinkedIn Profile Reactions](https://apify.com/data-slayer/linkedin-profile-reactions) | LinkedIn workflow |
| [LinkedIn Profile Scraper · Fresh · No Cookies](https://apify.com/data-slayer/linkedin-profile-scraper) | LinkedIn workflow |
| [LinkedIn Skill Mapper](https://apify.com/data-slayer/linkedin-skill-mapper) | LinkedIn workflow |
| [LinkedIn Talent Flow Mapper](https://apify.com/data-slayer/linkedin-talent-flow-mapper) | LinkedIn workflow |
| [LinkedIn Talent Mapper](https://apify.com/data-slayer/linkedin-talent-mapper) | LinkedIn workflow |
| [LinkedIn Warm Path Finder](https://apify.com/data-slayer/linkedin-warm-path-finder) | LinkedIn workflow |
| [LinkedIn Why-Now Account Brief](https://apify.com/data-slayer/linkedin-why-now-account-brief) | LinkedIn workflow |

# Actor input Schema

## `keywords` (type: `string`):

Free-text query matched across the whole profile (headline, summary, positions). Maximum 500 characters.

## `job_title` (type: `array`):

Job title(s) to filter by, e.g. CTO or Chief Technology Officer.

## `seniority` (type: `array`):

Seniority level(s), e.g. CXO, Vice President, Director.

## `function` (type: `array`):

Department/function, e.g. Engineering, Marketing, Sales, Finance, Operations, Product Management.

## `company_name` (type: `array`):

Company name(s), e.g. Stripe or Plaid.

## `company_linkedin_urls` (type: `array`):

LinkedIn company page URL(s), e.g. https://www.linkedin.com/company/salesforce/.

## `company_ids` (type: `array`):

Raw LinkedIn numeric company ID(s), e.g. 1441. Must be numbers.

## `location` (type: `array`):

City, region, or country, e.g. San Francisco or United Kingdom.

## `industry` (type: `array`):

Industry name(s), e.g. Software Development.

## `company_headcount` (type: `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` (type: `array`):

Company type(s). Valid values: Public, Private, Non Profit, Educational, Government.

## `technology` (type: `array`):

Technologies used by the person's company, e.g. Salesforce.

## `school` (type: `array`):

University or school name(s), e.g. MIT.

## `years_in_position` (type: `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` (type: `array`):

LinkedIn follower count range. Valid values: 1-50, 51-100, 101-1000, 1001-5000, 5001+.

## `profile_language` (type: `array`):

Language the profile is written in, e.g. English, Spanish, French, German.

## `recently_changed_jobs` (type: `boolean`):

Only people who recently started a new position.

## `posted_on_linkedin` (type: `boolean`):

Only people who have recently posted on LinkedIn.

## `max_results` (type: `integer`):

Maximum number of profiles to save. Enter 0 for no limit (up to a 60-page safety cap; 25 results per page).

## Actor input object example

```json
{
  "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
}
```

# Actor output Schema

## `results` (type: `string`):

One dataset item per matched LinkedIn profile.

## `run_summary` (type: `string`):

Per-run status, filters and counts.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("data-slayer/linkedin-people-search").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("data-slayer/linkedin-people-search").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call data-slayer/linkedin-people-search --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,data-slayer/linkedin-people-search"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/1yUcJm7OphjBUMZQ4/builds/DxXNcRBcvCvmkAAEX/openapi.json