linkedin-authenticated-fetcher - Claude MCP Skill

# LinkedIn Authenticated Data FetcherA secure workflow for capturing full Linked

In profile data through authenticated browser session sharing.

## OverviewThis skill provides a structured approach to capture complete LinkedIn profile data by leveraging your authenticated browser session. Rather than storing credentials, it guides you through a secure copy-paste workflow while youre logged into Linked

In.

## Security Principles

### What We DONT Do- ❌ Store LinkedIn credentials- ❌ Automate login process- ❌ Bypass Linked

Ins security- ❌ Violate Terms of Service- ❌ Use browser automation tools

### What We DO- ✅ Guide manual data capture while youre logged in- ✅ Structure data consistently- ✅ Process captured data locally- ✅ Maintain security and compliance

## Workflow Process

### Step 1: User Authenticationmarkdown

1. You manually log into Linked

In in your browser

2. Navigate to target profile

3. Verify you can see full profile posts, about, activity

4. Keep browser tab open for data capture

### Step 2: Structured Data Capture

#### Method A: Copy-Paste Workflowmarkdown

Ill provide you with a specific data capture checklist:
  1. Profile Header

- Copy the About section text

- Note the headline and current position

- Record follower/connection counts

2. Recent Posts Last 5-10   For each post:
  - Copy full post text

- Note the date

- Record engagement metrics

- Copy first 2-3 comments

3. Activity Section

- Recent comments theyve made

- Articles theyve shared

- Their commentary on shares

4. Paste each section to me for processing

#### Method B: Browser Console Extraction

javascript// For technical users

- Run in browser console while on profile page// This extracts visible text without making additional requestsconst profileData =   name: document.querySelectorh1.innerText,  headline: document.querySelector[data-generated-suggestion-target].innerText,  about: document.querySelector.pv-about-section.innerText,  posts: Array.fromdocument.querySelectorAll.feed-shared-update-v2.mappost =     text: post.querySelector.feed-shared-text.innerText,    date: post.querySelector.feed-shared-actor__sub-description.innerText  console.log

JSON.stringifyprofile

Data, null, 2// Copy this output and share with me

### Step 3: Data Processing  Storage

Once you provide the captured data, I will:
  1. Parse and Structure the information

2. Extract Key Themes and patterns

3. Identify Communication Style

4. Generate Analysis using linkedin-profile-analyst

5. Store Structured Data in tools-internal

## Implementation Guide

### For Profile Analysis Sessionmarkdown

## LinkedIn Profile Capture SessionTarget: [Profile Name]URL: [Linked

In URL]

### Instructions for User:
  1. Open Linked

In in your browser

2. Log in with your credentials

3. Navigate to: [profile URL]

4. Confirm you can see full profile

5. Start capturing data below:
  ### Section 1: About

Please copy and paste the entire About section:[User pastes here]

### Section 2: Recent Posts

For the last 5 posts, please provide:Post 1:
  - Date:
  - Content: [paste full text]

- Likes/Reactions:
  - Comments:
  - Shares: [Continue for each post...]

### Section 3: Recent Activity

Please check their Activity tab and share:
  - Recent comments theyve made

- Posts theyve shared with commentary

- Articles theyve publi

shed[User provides data...]

## Advanced Features

### LinkedIn Export ProcessingIf the user has access to Linked

In data export:python

# Process LinkedIn data exportdef process_linkedin_exportexport_file:
  Process official Linked

In data export    User can request their own data or connections shared data    Settings  Privacy  Data Privacy  Get a copy of your data        # Parse connections.csv    # Parse messages.csv    # Parse profile.csv    # Structure for analysis

### Sales Navigator EnhancementFor users with Sales Navigator access:markdownAdditional data points available:
  - Lead recommendations

- Account insights

- Extended activity history

- TeamLink connections

- Advanced search filters

Capture these additional insights when available

## Data Validation Checklist

After capture, verify:- [ ] About section is complete- [ ] At least 3-5 recent posts captured- [ ] Post dates are included- [ ] Engagement metrics noted- [ ] Recent activity/comments included- [ ] Professional experience captured- [ ] Current focus areas identified

## Storage Format

json  profile:
  captured_date: 2025-09-04,    capture_method: authenticated_manual,    completeness: full,    data:
  // Structured profile data      ,  analysis:
  // Generated analysis  #

# Automation Alternatives

### Browser Extension Approach FuturemarkdownPotential browser extension could:
  1. Detect when youre on a LinkedIn profile

2. Offer to capture visible data

3. Structure it automatically

4. Send to local MCP serverNote: Requires development and Linked

In compliance review

### API Integration EnterprisemarkdownFor organizations with LinkedIn API access:
  - Use official Linked

In API endpoints

- Requires partner

ship agreement

- Provides rate-limited access

- Ensures full compliance

## Ethical Usage

### Acceptable Uses

- Researching contacts for legitimate business outreach

- Analyzing public profiles for market research

- Preparing for meetings or interviews

- Building professional relation

ships

### Unacceptable Uses

- Mass data harvesting

- Selling or redistributing profile data

- Automated spam outreach

- Competitive intelligence gathering

- Violating privacy expectations

## Quick Start Commands

bash

# Start a profile capture sessionI need to capture LinkedIn profile data for [Name]. Im logged into Linked

In now.

# Process captured data

Heres the About section from their profile: [paste]

# Generate analysis

Based on this captured data, create a comprehensive analysis

# Store structured data

Save this profile data to tools-internal for [Name]

## Integration with Other Skills

Works with:
  - linkedin-profile-analyst

- For deep analysis

- linkedin-engagement-optimizer

- For message crafting

- authentic-voice-analyzer

- For communication style matching

## Success Metrics

- Complete profile data capture in  5 minutes- 95%+ data completeness

- Structured storage for future reference

- Actionable insights generated

- Compliant with Linked

In ToS

## Trouble

shooting

### If Linked

In Blocks Copy-Paste

- Use browser selection tools

- Take screen

shots for OCR processing

- Use browser developer tools

- Export profile as PDF

### If Data Is Limited

- Check if youre logged in

- Verify connection level

- Try different browser

- Clear cookies and re-loginThis skill ensures you can capture complete Linked

In profile data while maintaining security, compliance, and efficiency.