# LinkedIn People Finder & Lead Scorer (`generous_fog/linkedin-people-finder-lead-scorer`) Actor

Find public LinkedIn profiles by role, company, location and keywords without cookies. Get CSV-ready leads with relevance scores, deduplication, exclusions and optional public email discovery.

- **URL**: https://apify.com/generous\_fog/linkedin-people-finder-lead-scorer.md
- **Developed by:** [Cracks API](https://apify.com/generous_fog) (community)
- **Categories:** Lead generation, Social media, Automation
- **Stats:** 2 total users, 1 monthly users, 96.6% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $30.00 / 1,000 search pages

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?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## LinkedIn People Finder & Lead Scorer

Find public LinkedIn profile URLs by role, company, location, and skills without cookies or a LinkedIn account. Get clean, CSV-ready leads with built-in deduplication, relevance scoring, exclusions, resumable pagination, and optional public email discovery.

> **Unofficial.** This is an independent, unofficial Actor and is not affiliated with, endorsed by, or sponsored by LinkedIn. LinkedIn is a trademark of its respective owner.

### Why use this Actor?

- No LinkedIn cookies or account required
- Search by role, company, location, skills, or a general people query
- Get a transparent 0-100 lead-fit score and match reasons
- Remove unwanted profiles with exclude keywords
- Deduplicate profiles automatically inside every run
- Resume from a selected search page
- Export structured results as JSON, CSV, Excel, XML, or through the API
- Optionally scan indexed public web pages for a business email

### Result modes

#### Search results

Returns public profile URLs and the visible indexed summary. Best for fast list building.

#### Enriched leads

Adds structured name, headline, current role, company, location, followers when visible, summary, fit score, and match reasons.

#### Enriched + public email scan

Returns the enriched lead and checks indexed public web pages for a visible email address. Email discovery is best-effort and is not guaranteed for every profile.

### Input

| Field | Type | Description |
|---|---|---|
| `searchQuery` | string | Role, skill, person, or keyword query |
| `mode` | string | `search`, `enriched`, or `email` |
| `locations` | string\[] | Target locations |
| `currentJobTitles` | string\[] | Preferred current roles |
| `currentCompanies` | string\[] | Preferred current companies |
| `includeKeywords` | string\[] | Extra must-have targeting terms |
| `excludeKeywords` | string\[] | Skip profiles containing these terms |
| `minimumScore` | integer | Keep only leads at or above this 0-100 fit score |
| `maxResults` | integer | Maximum unique profiles to save |
| `startPage` | integer | Page to start from for resumable runs |
| `maxSearchPages` | integer | Maximum public search pages to inspect |
| `countryCode` | string | Two-letter result-localization country code |
| `languageCode` | string | Two-letter result language code |
| `proxyConfiguration` | object | Optional Apify proxy settings |

### Example input

```json
{
  "searchQuery": "Automation Specialist",
  "mode": "enriched",
  "locations": ["Jaipur", "India"],
  "currentJobTitles": ["Automation Specialist", "Automation Engineer"],
  "includeKeywords": ["Apify", "web scraping"],
  "excludeKeywords": ["intern"],
  "minimumScore": 45,
  "maxResults": 50,
  "startPage": 1,
  "maxSearchPages": 5,
  "countryCode": "in",
  "languageCode": "en"
}
```

### Example output

```json
{
  "fullName": "Sujeet Kar",
  "firstName": "Sujeet",
  "lastName": "Kar",
  "headline": "Python Automation",
  "currentJobTitle": "Automation Specialist",
  "currentCompany": "EMIAC Technologies",
  "location": "Jaipur, Rajasthan, India",
  "followers": "800+",
  "summary": "Automation Specialist helping businesses streamline operations...",
  "linkedinUrl": "https://www.linkedin.com/in/sujeet-kar-21b93b20b",
  "publicIdentifier": "sujeet-kar-21b93b20b",
  "leadFitScore": 100,
  "leadFitReasons": [
    "query: automation, specialist",
    "title: Automation Specialist",
    "location: Jaipur"
  ],
  "email": null,
  "emailSourceUrl": null,
  "source": "public-web-index",
  "sourcePage": 1,
  "resultMode": "enriched",
  "collectedAt": "2026-08-18T00:00:00.000Z"
}
```

### Pricing

This Actor uses pay-per-event pricing:

- **Search page:** $0.08 per page, up to 25 requested results
- **Enriched profile:** $0.0032 per saved enriched profile
- **Enriched profile + public email scan:** $0.008 per profile where the scan is performed
- Apify platform usage is included according to the configured Store pricing model

### How the lead-fit score works

The score combines visible matches for the main query, target titles, companies, locations, and must-have keywords. A small completeness bonus is added when role, company, and location are all available. The `leadFitReasons` field shows why each lead received its score.

### Important limitations

- This Actor uses publicly indexed web results. It does not log in to LinkedIn or call LinkedIn's private search APIs.
- Target fields improve query relevance but are not identical to LinkedIn's internal filter semantics.
- A public index may have stale, incomplete, localized, or missing profile details.
- Email discovery checks only publicly indexed pages and cannot guarantee an address.
- Search engines can rate-limit larger runs. Enable an Apify proxy if a traffic challenge occurs.
- Use the data responsibly and follow applicable privacy, employment, marketing, and data-protection laws.

# Actor input Schema

## `searchQuery` (type: `string`):

Role, skill, person, or other keywords to find.

## `mode` (type: `string`):

Choose fast search results, structured enriched leads, or enriched leads with a public web email scan.

## `locations` (type: `array`):

Locations to include, for example Jaipur or United States.

## `currentJobTitles` (type: `array`):

Preferred role titles. Used for query targeting and fit scoring.

## `currentCompanies` (type: `array`):

Preferred current companies or employer keywords.

## `includeKeywords` (type: `array`):

Extra skills or terms used to target and score leads.

## `excludeKeywords` (type: `array`):

Skip results whose visible public data contains any of these terms.

## `minimumScore` (type: `integer`):

Only keep leads with at least this 0-100 relevance score.

## `maxResults` (type: `integer`):

Maximum number of unique profiles to save.

## `startPage` (type: `integer`):

Start from this search page for resumable collection.

## `maxSearchPages` (type: `integer`):

Maximum search pages to inspect. Each page requests up to 25 public profile results.

## `countryCode` (type: `string`):

Two-letter country code used to localize public web results.

## `languageCode` (type: `string`):

Two-letter language code for public web results.

## `proxyConfiguration` (type: `object`):

Optional Apify proxy for larger runs or rate-limit recovery.

## Actor input object example

```json
{
  "searchQuery": "Automation Specialist",
  "mode": "enriched",
  "locations": [
    "Jaipur"
  ],
  "minimumScore": 0,
  "maxResults": 20,
  "startPage": 1,
  "maxSearchPages": 2,
  "countryCode": "in",
  "languageCode": "en",
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

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

No description

# 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 = {
    "searchQuery": "Automation Specialist",
    "proxyConfiguration": {
        "useApifyProxy": false
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("generous_fog/linkedin-people-finder-lead-scorer").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 = {
    "searchQuery": "Automation Specialist",
    "proxyConfiguration": { "useApifyProxy": False },
}

# Run the Actor and wait for it to finish
run = client.actor("generous_fog/linkedin-people-finder-lead-scorer").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 '{
  "searchQuery": "Automation Specialist",
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}' |
apify call generous_fog/linkedin-people-finder-lead-scorer --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,generous_fog/linkedin-people-finder-lead-scorer"
        }
    }
}

```

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/HijmfCE4PONrvdYsS/builds/YxpULpNqX91TLnJs1/openapi.json