Trail Hub / @omneity / linkedin.com

@omneity/linkedin.com

75 downloads

Search and scrape data from LinkedIn from profiles, contact info, to companies, posts, comments, etc.

What is Herd?

Herd is a powerful browser automation platform that lets you connect any AI like ChatGPT, Claude, or even Cursor to your favorite websites. This Trail is a pre-built automation for linkedin.com. An MCP (Model Context Protocol) server exposes standard tools to your Agent to read from and interact with linkedin.com via your browser securely.

With Herd and this trail, your agent can run:

person-search: Searches for people on LinkedIn based on keywords and optional filters, handling pagination.
person-profile: Extracts and cleans up LinkedIn profile data

Learn more about Herd

Trail Details

Selected Version

v1.0.3 (4 versions available)

Published By

Omneity Labs (@omneity)

Last Updated

4/10/2025

Downloads

Quick Actions - MCP compatible

Install Herd browser extension to connect your AI tools.

Chrome

Edge

Brave

Setup Guide ▶

Supported Websites

linkedin.com

Herd is not affiliated with linkedin.com and is not endorsing its content. Herd makes websites accessible over MCP and API, but never hosts any content. Make sure to accept the respective terms of service before using this trail.

All trademarks reserved to their respective owners.

Installation and Usage

Quick Run

herd trail server @omneity/linkedin.com

SDK Implementation

Usage Example

import { HerdClient } from '@monitoro/herd';

// Initialize Herd client (use your own API key)
const herd = new HerdClient({ token: 'YOUR_HERD_API_KEY' });

// Run the 'person-search' action
const result = await herd.runTrail('@omneity/linkedin.com@1.0.3', {
	actionName: 'person-search',
	params: {
		keywords: "String"
	}
});

console.log('Trail result:', result);

Available Actions

All the following actions for @omneity/linkedin.com are accessible via the built-in MCP server, CLI, REST API as well as programmatically via the SDK.

person-search

Searches for people on LinkedIn based on keywords and optional filters, handling pagination.

Parameters

Name	Type	Description	Required
`geoUrn`	`String`	Array of geographic URNs (e.g., ["103350119"])	No
`network`	`String`	Array of network degrees (F, S, O) (e.g., ["F", "S"])	No
`keywords`	`String`	Keywords to search for people	Yes
`maxPages`	`Number`	Maximum number of pages to scrape (defaults to 1)	No
`companies`	`String`	Array of company IDs (e.g., ["10667"])	No

person-profile

Extracts and cleans up LinkedIn profile data

Parameters

Name	Type	Description	Required
`username`	`String`	LinkedIn username to extract profile data for	Yes