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The Vega AI Job Capture browser extension allows you to capture job listings from LinkedIn and other job boards directly into your Vega AI dashboard with a single click.

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Features

  • One-Click Job Capture: Save job listings instantly while browsing
  • LinkedIn Integration: Seamlessly capture jobs from LinkedIn job postings
  • Automatic Data Extraction: Extracts job title, company, location, description, and more
  • Cross-Browser Support: Works with Chrome and Chromium-based browsers
  • Self-Hosted Compatible: Works with both cloud and self-hosted Vega AI instances

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Installation

1

Download the Extension

Download the latest .zip file from the GitHub Releases page.
2

Extract the Files

Extract the ZIP file to a permanent folder on your computer. Do not delete this folder after installation.
# Example: Extract to a permanent location
mkdir -p ~/browser-extensions/vega-ai
unzip vega-ai-extension-v1.0.0.zip -d ~/browser-extensions/vega-ai
3

Open Chrome Extensions

  1. Open Chrome (or any Chromium-based browser)
  2. Navigate to chrome://extensions/
  3. Or click the menu (⋮) → More Tools → Extensions
4

Enable Developer Mode

Toggle “Developer mode” in the top right corner of the Extensions page.
Developer mode is required to load unpacked extensions. This is safe for local extensions.
5

Load the Extension

  1. Click the “Load unpacked” button
  2. Navigate to and select the extracted folder
  3. The Vega AI extension should now appear in your extensions list

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Configuration

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Connecting to Your Vega AI Instance

After installation, you need to configure the extension to connect to your Vega AI instance:
1

Open Extension Settings

Click the Vega AI extension icon in your browser toolbar and select “Settings” or “Options”.
2

Enter Your Instance URL

Configure the connection based on your deployment:For Cloud Users:
https://vega.benidevo.com
For Self-Hosted Users:
http://localhost:8765
Or your custom domain:
https://vega.yourdomain.com
3

Authenticate

The extension will prompt you to log in to your Vega AI account. Use the same credentials you use to access the web interface.
Make sure your Vega AI instance is running and accessible from your browser. For self-hosted instances, ensure the server is started and listening on the correct port.

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Usage

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Capturing Jobs from LinkedIn

1

Navigate to a Job Posting

Go to any LinkedIn job posting page. The extension will automatically detect the job listing.
2

Click the Extension Icon

Click the Vega AI extension icon in your browser toolbar. The extension will display the detected job information.
3

Review and Save

Review the captured information and click “Save to Vega AI” to add the job to your dashboard.The extension captures:
  • Job title
  • Company name
  • Location
  • Job description
  • Required skills
  • Salary information (if available)
  • Application link

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Capturing Jobs from Other Platforms

The extension also works with other job boards:
  • Indeed
  • Glassdoor
  • Monster
  • General job posting pages
For non-LinkedIn sites, the extension uses intelligent parsing to extract job details. Accuracy may vary depending on the site’s structure.

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Troubleshooting

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Extension Not Detecting Jobs

Problem: The extension icon remains gray or doesn’t detect the job posting. Solutions:
  • Refresh the job posting page
  • Make sure you’re on an actual job posting page (not search results)
  • Check that the extension is enabled in chrome://extensions/
  • Try clicking directly on the extension icon to manually trigger detection

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Connection Failed

Problem: “Unable to connect to Vega AI” error. Solutions:
  1. Check your instance URL in extension settings
  2. Verify your Vega AI instance is running: 
    # For Docker users
docker ps | grep vega-ai

# Check if the web interface is accessible
curl http://localhost:8765
  3. Check CORS settings (for self-hosted instances): 
    # Add your browser extension to allowed origins
CORS_ALLOWED_ORIGINS=chrome-extension://*,http://localhost:8765

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Authentication Issues

Problem: Extension can’t authenticate or keeps asking to log in. Solutions:
  • Clear the extension’s stored data and re-authenticate
  • Log out and log back in to the Vega AI web interface
  • Check that your session hasn’t expired
  • For self-hosted: verify TOKEN_SECRET is configured correctly

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Data Not Syncing

Problem: Jobs saved in the extension don’t appear in the web dashboard. Solutions:
  • Refresh the Vega AI web dashboard
  • Check your internet connection
  • Verify you’re logged into the same account in both places
  • Check browser console for error messages (F12 → Console)

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CORS Configuration for Self-Hosted

If you’re running a self-hosted instance, you may need to configure CORS to allow the browser extension to connect: 
# Add to your docker run command or docker-compose.yml
CORS_ALLOWED_ORIGINS=chrome-extension://*,http://localhost:8765
CORS_ALLOW_CREDENTIALS=true

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Building from Source

Developers can build the extension from source: 
# Clone the extension repository
git clone https://github.com/benidevo/vega-ai-extension.git
cd vega-ai-extension

# Install dependencies
npm install

# Build the extension
npm run build

# The built extension will be in the dist/ directory
For development and contribution guidelines, visit the extension repository.

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Privacy & Security

The Vega AI browser extension only communicates with your configured Vega AI instance. No job data is sent to third-party services.
  • Data stays with you: All captured job data is sent directly to your Vega AI instance
  • No tracking: The extension doesn’t track your browsing activity
  • Open source: The extension code is publicly available for review
  • Secure authentication: Uses the same secure token-based authentication as the web interface

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Updates

Since this is a manually installed extension, you’ll need to update it manually:
  1. Download the latest version from GitHub Releases
  2. Extract to the same location (overwriting old files)
  3. Go to chrome://extensions/ and click the refresh icon on the Vega AI extension
Subscribe to the GitHub repository to get notified of new releases.

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