🎣 Automate hyper-personalized outreach at scale with Bright Data and LLMs

⚡ 2,232 views · 🎣 Lead Generation & Enrichment

💡 Pro Tip — If you’re pulling LinkedIn data through HTTP requests or dealing with API restrictions, there’s a community node called ScraperNode that handles this natively. It has dedicated scrapers for profiles, companies, jobs, and people search — you just pass a URL and get structured data back.

View All Scrapers

Description

LinkedIn Enrichment & Ice Breaker Generator

For SDRs, growth marketers, and founders looking to scale personalized outreach.
This workflow enriches LinkedIn profile data using Bright Data and generates AI-powered ice breakers using Claude (Anthropic).
It automates research and messaging to help you connect smarter and faster — without manual effort.

🧩 How It Works

This workflow combines Google Sheets, [Brigt Data](Bright Data), and Claude (Anthropic) to fully automate your outreach research:

  1. Trigger

    • Manually trigger the workflow or run it on a schedule (via Manual Trigger or Schedule Trigger).

  2. Read Input Sheet

    • Fetches rows from a Google Sheet. Each row must contain at least a Linkedin_URL_Person and row_number.

  3. Prepare Input

    • Formats each row for Bright Data’s API using Set and SplitInBatches nodes.

  4. Enrich Profile (Bright Data API)

    • Sends LinkedIn URLs to Bright Data’s Dataset API via HTTP Request.
    • Waits for snapshot to be ready using polling logic with Wait, If, and Snapshot Progress nodes.
    • Once ready, retrieves the enriched profile data including:
      • Name
      • City
      • Current company
      • About section
      • Recent posts

  5. Update Sheet with Profile Data

    • Writes the retrieved enrichment data into the corresponding row in Google Sheets (via row_number).

  6. Generate Ice Breaker (Claude AI)

    • Sends enriched profile content to Claude (Anthropic) using a custom prompt.
    • Focuses on recent posts for crafting relevant, respectful, 1–4-line ice breakers.

  7. Update Sheet with Ice Breaker

    • Writes the generated ice breaker to the Ice Breaker 1 column in the original row.

✅ Requirements

To use this workflow, you must have the following:

Google Sheets

Bright Data

Anthropic Claude

n8n Environment

⚙️ Setup Instructions

Step 1: Copy the Google Sheets Template

> 📄 Click here to make a copy

Step 2: Connect Your Accounts in n8n

  1. Google Sheets: Create a credential under Google Sheets OAuth2 API
  2. Bright Data: Add your API key as a credential under HTTP Request (Authorization header)
  3. Anthropic: Create a credential for Anthropic API with your Claude key

Step 3: Import and Configure the Workflow

  1. Import the workflow into your n8n instance.
  2. In each Google Sheets node:
    • Select the copied Google Sheet
    • Select the correct tab (usually input or Sheet1)
  3. In the HTTP Request node to Bright Data:
    • Paste your Bright Data dataset ID
  4. In the Claude prompt node:
    • Optionally adjust the tone and length of the ice breaker prompt

Step 4: Run the Workflow

🧠 Tips & Best Practices

🧾 Output Example

Once complete, each row in your Google Sheet will contain:

Linkedin_URL_PersonNameCityCompanyRecent PostIce Breaker
linkedin.com/…Jane DoeNYCACME Corp“Why AI should replace meetings”“Loved your post about AI and meetings — finally someone said it!”

💬 Support & Feedback

Questions? Want to tweak the prompt or expand the enrichment?

📧 Email: Yaron@nofluff.online
📺 YouTube: @YaronBeen
🔗 LinkedIn: linkedin.com/in/yaronbeen

🔗 Nodes Used

Google Sheets, HTTP Request, Schedule Trigger, Basic LLM Chain, Anthropic Chat Model

📥 Import

Download workflow.json and import into n8n: Workflow menu → Import from File

📖 Importing guide · 🔑 Credential setup