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Personalized outreach for lawyers with LinkedIn scraping, GPT-4o, Google Sheets

Ibrahim MalickIbrahim Malick
2371 views
2/3/2026
ShopifyIntegrationCustomer SyncE-commerceStripe
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Screenshot 20250612 120714.png ⚠️ This template uses only official n8n nodes. No community nodes required.

🧑‍💼 Who is this for?

This workflow is designed for:

  • Legal tech founders
  • Marketing freelancers or consultants
  • Agencies supporting lawyers and small law firms
  • Anyone doing outbound outreach in the legal niche

❓ What problem is this solving?

LinkedIn is a goldmine for targeting legal professionals — but scraping and personalizing outreach is tedious and expensive. Most tools either:

  • Require paid LinkedIn Sales Navigator
  • Can’t personalize at scale
  • Violate LinkedIn’s TOS

This workflow solves that by using free Google Search, OpenRouter AI, and GPT-4o to find, enrich, and message up to 1,000 solo lawyers per day — without using browser automation or scrapers.

⚙️ What this workflow does

  1. Uses Google Programmable Search to find solo lawyers and small firm founders on LinkedIn
  2. Parses each profile’s name, title, profile URL, and snippet
  3. Saves raw lead data to Google Sheets
  4. Uses OpenRouter Sonar Pro to enrich each profile with external content
  5. Generates a personalized, 1-line message using GPT-4o
  6. Appends the final message into Google Sheets for outreach

🛠️ Setup

Estimated time: 15–20 minutes

✅ Google Programmable Search

  • Enable the Custom Search API on Google Cloud
  • Create a programmable search engine set to search the full web
  • Copy your API key and CX ID

✅ Google Sheets

  • Create a sheet with columns: Name, Title, Profile URL, Outreach Message
  • Share the sheet with your OAuth-connected Google account

✅ OpenRouter

  • Sign up at openrouter.ai
  • Fund with at least $5 and generate your API key
  • Use the model perplexity/sonar-pro for real-time research

✅ GPT-4o (optional)

  • You can use your OpenAI key or route GPT-4o via OpenRouter

All setup-specific values are marked clearly in sticky notes and placeholders.

🛠️ How to customize this workflow to your needs

  • Change the Google search query to match your industry (e.g., "founder" AND "therapist" site:linkedin.com/in)
  • Modify the AI prompt to match your tone (formal, casual, humorous)
  • Connect the final output to your CRM (like HubSpot, Airtable, etc.)
  • Add a second outreach message variant to A/B test performance

📌 Sticky Notes & Annotations

  • All nodes are clearly renamed for understandability (e.g., Find Lawyer Profiles, Parse LinkedIn Search Results)
  • Color-coded sticky notes explain:
    • Setup instructions
    • Required credentials
    • Use caseScreenshot 20250612 113505.png

🗂 Category

  • AI
  • Sales
  • Marketing

n8n Workflow: Personalized Outreach for Lawyers with LinkedIn Scraping & AI

This n8n workflow automates the process of generating personalized outreach messages for lawyers by scraping LinkedIn profiles, enriching data with AI, and storing the results in Google Sheets. It's designed to streamline lead generation and outreach efforts, making them more targeted and efficient.

What it does

This workflow performs the following key steps:

  1. Triggers on Schedule: The workflow starts on a predefined schedule, ensuring regular execution.
  2. Reads Data from Google Sheets: It fetches a list of potential lawyer leads from a specified Google Sheet. This sheet is expected to contain LinkedIn profile URLs.
  3. Extracts LinkedIn Profile IDs: A Code node processes the LinkedIn URLs to extract the unique profile ID for each lawyer.
  4. Scrapes LinkedIn Profile Data: For each profile ID, an HTTP Request node is used to interact with a LinkedIn scraping API (likely a third-party service, given the HTTP Request node's configuration). This step retrieves detailed information from the LinkedIn profiles.
  5. Filters for Valid Profiles: An If node checks if the LinkedIn scraping was successful and if valid data was returned. Profiles that failed to scrape or returned empty data are filtered out.
  6. Generates Personalized Outreach with AI: For successful scrapes, an AI Agent node (likely leveraging OpenAI or OpenRouter) is used to generate a personalized outreach message based on the scraped LinkedIn profile data. This agent is configured to use either an OpenAI Chat Model or an OpenRouter Chat Model.
  7. Updates Google Sheets: The generated personalized outreach message, along with the scraped data, is written back to the Google Sheet, enriching the lead list.
  8. Handles Errors/Invalid Profiles: Profiles that failed the scraping or AI generation steps are also processed, allowing for potential logging or further action (though not explicitly shown in this simplified connection).

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Instance: A running n8n instance.
  • Google Sheets Account: A Google account with access to Google Sheets. You'll need to create a spreadsheet with your initial lawyer leads (at least LinkedIn profile URLs).
  • LinkedIn Scraping API: Access to a LinkedIn scraping API. The HTTP Request node will need to be configured with the appropriate endpoint, API key, and parameters for your chosen service.
  • OpenAI API Key or OpenRouter API Key: An API key for either OpenAI or OpenRouter to power the AI Agent for personalized message generation. You will need to configure the respective credentials in n8n.

Setup/Usage

  1. Import the Workflow: Download the provided JSON and import it into your n8n instance.
  2. Configure Credentials:
    • Google Sheets: Set up your Google Sheets credential.
    • OpenAI/OpenRouter: Set up your OpenAI or OpenRouter credential with your API key.
  3. Configure Google Sheets Node (ID: 18):
    • Specify the Spreadsheet ID and Sheet Name where your lawyer leads are stored and where the enriched data will be written.
    • Ensure the sheet has a column for LinkedIn profile URLs and columns to store the scraped data and the generated outreach message.
  4. Configure HTTP Request Node (ID: 19):
    • Update the URL, headers (e.g., API key), and body of the request to match your chosen LinkedIn scraping API. The current setup suggests a POST request to a specific endpoint.
  5. Configure AI Agent Node (ID: 1119):
    • Select your preferred Chat Model (OpenAI or OpenRouter) and ensure the corresponding credential is set.
    • Review and adjust the System Prompt and User Prompt to guide the AI in generating the desired personalized outreach messages based on the LinkedIn profile data.
  6. Configure Schedule Trigger Node (ID: 839):
    • Adjust the schedule (e.g., daily, weekly) according to your needs for running the outreach process.
  7. Activate the Workflow: Once all configurations are complete, activate the workflow. It will then run automatically based on the defined schedule.

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