# LinkedIn Sales Navigator Scraper (`yourwingman/linkedin-sales-navigator-scraper`) Actor

Extract leads from accessible LinkedIn Sales Navigator/search URLs or discover public LinkedIn leads by keyword.

- **URL**: https://apify.com/yourwingman/linkedin-sales-navigator-scraper.md
- **Developed by:** [Wingman](https://apify.com/yourwingman) (community)
- **Categories:** Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.00005 / actor start

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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 Sales Navigator Scraper

Extract lead cards from accessible LinkedIn Sales Navigator/search URLs, or discover public LinkedIn profile candidates from keywords.

### Inputs

- `searchUrls`: LinkedIn Sales Navigator/search URLs or public search pages to crawl.
- `keywords`: fallback public search queries such as `founder SaaS San Francisco linkedin`.
- `cookies`: optional Playwright cookie objects for authenticated LinkedIn pages.
- `resultsLimit`: maximum rows.

### Output

Rows include `fullName`, `jobTitle`, `company`, `location`, `profileUrl`, `sourceUrl`, `query`, and `snippet`.

This actor does not bypass logins or access controls. For Sales Navigator pages, supply your own accessible URLs/session cookies.

# Actor input Schema

## `searchUrls` (type: `array`):

LinkedIn Sales Navigator, LinkedIn search, or public search result URLs to crawl. Use cookies for authenticated pages.

## `keywords` (type: `array`):

Keywords for public LinkedIn lead discovery via search engines when no URLs are supplied.

## `location` (type: `string`):

Optional location appended to keyword searches.

## `resultsLimit` (type: `integer`):

Maximum lead records to save.

## `cookies` (type: `array`):

Optional Playwright cookie objects for authenticated LinkedIn/Sales Navigator sessions. Never paste secrets unless you trust this actor run.

## `proxy` (type: `object`):

Proxy settings.

## Actor input object example

```json
{
  "keywords": [
    "founder SaaS San Francisco linkedin"
  ],
  "location": "",
  "resultsLimit": 20,
  "proxy": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `fullName` (type: `string`):

Lead full name or search result title

## `jobTitle` (type: `string`):

Extracted current role or headline

## `company` (type: `string`):

Extracted company name when available

## `location` (type: `string`):

Extracted lead location

## `profileUrl` (type: `string`):

LinkedIn profile or result URL

## `sourceUrl` (type: `string`):

Page where this lead was found

## `query` (type: `string`):

Keyword query or input URL label

## `snippet` (type: `string`):

Visible context around the lead

# 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("yourwingman/linkedin-sales-navigator-scraper").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("yourwingman/linkedin-sales-navigator-scraper").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 yourwingman/linkedin-sales-navigator-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,yourwingman/linkedin-sales-navigator-scraper"
        }
    }
}

```

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/GsWyvx3wyz7n5UyUd/builds/17fQ0H6LB7Foh2ilJ/openapi.json