HumationHuman + Automation
Back to Catalog

Automate LinkedIn profile search & cold email outreach with OpenAI and Hunter

Abhijay VuyyuruAbhijay Vuyyuru
1933 views
2/3/2026
ExportBackupDirectusDataCSV
Official Page

Problem

🚨 LinkedIn search is BROKEN.

I waste hours on LinkedIn manually filtering profiles, reading summaries, hoping they’d reply—tedious, frustrating, inefficient.

I wish LinkedIn had built an agent that would get me to the right profile with one click!

If only I could just type: "Product managers working on YouTube Shorts' generative AI features."

and seconds later, have LinkedIn URLs, names, emails, and full context about them.

Introducing LinkGPT, a LinkedIn Agent, an automated agentic workflow powered by n8n.

Prerequisites:

Required accounts/API keys for Hunter.io, Google, and OpenAI.

This would be helpful for:

🎯 Job Seekers: Skip ATS, email hiring managers directly ( I wish I had this when I was recruiting!)

🎯 Recruiters: Reach your dream candidates first

🎯 Founders & Sales Teams: Share your demos with customers directly (this does NOT use the expensive Sales Navigator API)

Step-by-step workflow:

Takes 5-10 minutes to setup.

  1. Generate a Boolean search string for LinkedIn profiles.
  2. Perform authenticated Google searches using your query.
  3. Extract LinkedIn URLs and workplace context from the search results.
  4. Use OpenAI to extract first name, last name, and domain name from the context.
  5. Use Hunter.io to find emails of the contacts.
  6. Append all results to your connected Google Sheet. Columns: first_name, last_name, domain_name, email, context

I put together a clear, step-by-step guide on setting this up yourself.

Sample Query

Sample:

Input: "I am headed to NYC later this month, whom should I meet with that works in product management for gen AI products?"

Output: List of 10 contacts with first name, last name, workplace, email address and context about them so you can email them.

Automate LinkedIn Profile Search & Cold Email Outreach with OpenAI and Hunter

This n8n workflow automates the process of finding LinkedIn profiles, extracting professional email addresses, generating personalized cold emails using AI, and tracking outreach status in a Google Sheet. It streamlines lead generation and personalized communication for sales and marketing efforts.

What it does

This workflow performs the following key steps:

  1. Triggers on Chat Message: Initiates the workflow when a specific chat message is received, indicating a new search request.
  2. Generates Search Queries (OpenAI): Uses OpenAI to generate relevant LinkedIn search queries based on the incoming chat message (e.g., "Software Engineers in Berlin").
  3. Searches LinkedIn (HTTP Request): Executes an HTTP request to a LinkedIn search API (or a custom scraping service) using the generated queries to find potential leads.
  4. Extracts Email Addresses (Hunter.io): For each found LinkedIn profile, it uses Hunter.io to find the professional email address associated with the individual.
  5. Filters Valid Emails (If): Checks if a valid email address was found by Hunter.io.
  6. Generates Cold Email (OpenAI): If an email is found, OpenAI crafts a personalized cold email draft, incorporating details from the LinkedIn profile and the original search intent.
  7. Saves Data to Google Sheets: Appends the lead's information (name, LinkedIn URL, email, generated email draft) to a Google Sheet, marking the outreach status.
  8. Introduces Delay (Wait): Pauses briefly between operations to avoid rate limits or to simulate human interaction.
  9. Handles No Email Found: If no email is found, it still records the LinkedIn profile in the Google Sheet, potentially marking it for manual follow-up.

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Instance: A running instance of n8n.
  • OpenAI API Key: For generating search queries and personalized email drafts.
  • Hunter.io API Key: For finding professional email addresses.
  • Google Sheets Account: To store and track your leads and outreach status.
  • LinkedIn Search API/Scraping Service: An endpoint or service that can perform LinkedIn searches and return profile URLs (the "HTTP Request" node is configured for this, but the specific URL and authentication would need to be provided).
  • Chat Platform Integration: The "Chat Trigger" node implies integration with a chat platform (e.g., Slack, Telegram, Discord) where the initial message will be received.

Setup/Usage

  1. Import the workflow: Download the provided JSON and import it into your n8n instance.
  2. Configure Credentials:
    • Set up your OpenAI credential with your API key.
    • Set up your Hunter credential with your API key.
    • Set up your Google Sheets credential (OAuth 2.0 is recommended for secure access).
  3. Configure Nodes:
    • Chat Trigger (Node 1247): Configure this node to listen for messages on your desired chat platform.
    • OpenAI (Node 1250): Ensure your OpenAI credential is selected. You may need to adjust the prompt for generating LinkedIn search queries and cold emails based on your specific needs and target audience.
    • HTTP Request (Node 19): Crucially, you need to configure this node to interact with your chosen LinkedIn search/scraping service. This includes setting the correct URL, method (GET/POST), headers (for authentication), and body (for passing the search query).
    • Hunter (Node 136): Ensure your Hunter credential is selected and that the input data for email search is correctly mapped from the LinkedIn search results.
    • Google Sheets (Node 18):
      • Specify the Spreadsheet ID and Sheet Name where you want to store your data.
      • Ensure the "Write Mode" is set to "Append Row" or similar.
      • Map the data fields (e.g., LinkedIn URL, Email, Generated Email, Status) to the correct columns in your Google Sheet.
    • Code (Node 834): This node likely contains custom logic for data transformation or formatting. Review and adjust its JavaScript code if necessary.
  4. Activate the Workflow: Once all credentials and nodes are configured, activate the workflow.

Now, when a chat message is received by the "Chat Trigger" node, the workflow will automatically begin the lead generation and outreach process.

Related Templates

Generate song lyrics and music from text prompts using OpenAI and Fal.ai Minimax

Spark your creativity instantly in any chat—turn a simple prompt like "heartbreak ballad" into original, full-length lyrics and a professional AI-generated music track, all without leaving your conversation. 📋 What This Template Does This chat-triggered workflow harnesses AI to generate detailed, genre-matched song lyrics (at least 600 characters) from user messages, then queues them for music synthesis via Fal.ai's minimax-music model. It polls asynchronously until the track is ready, delivering lyrics and audio URL back in chat. Crafts original, structured lyrics with verses, choruses, and bridges using OpenAI Submits to Fal.ai for melody, instrumentation, and vocals aligned to the style Handles long-running generations with smart looping and status checks Returns complete song package (lyrics + audio link) for seamless sharing 🔧 Prerequisites n8n account (self-hosted or cloud with chat integration enabled) OpenAI account with API access for GPT models Fal.ai account for AI music generation 🔑 Required Credentials OpenAI API Setup Go to platform.openai.com → API keys (sidebar) Click "Create new secret key" → Name it (e.g., "n8n Songwriter") Copy the key and add to n8n as "OpenAI API" credential type Test by sending a simple chat completion request Fal.ai HTTP Header Auth Setup Sign up at fal.ai → Dashboard → API Keys Generate a new API key → Copy it In n8n, create "HTTP Header Auth" credential: Name="Fal.ai", Header Name="Authorization", Header Value="Key [Your API Key]" Test with a simple GET to their queue endpoint (e.g., /status) ⚙️ Configuration Steps Import the workflow JSON into your n8n instance Assign OpenAI API credentials to the "OpenAI Chat Model" node Assign Fal.ai HTTP Header Auth to the "Generate Music Track", "Check Generation Status", and "Fetch Final Result" nodes Activate the workflow—chat trigger will appear in your n8n chat interface Test by messaging: "Create an upbeat pop song about road trips" 🎯 Use Cases Content Creators: YouTubers generating custom jingles for videos on the fly, streamlining production from idea to audio export Educators: Music teachers using chat prompts to create era-specific folk tunes for classroom discussions, fostering interactive learning Gift Personalization: Friends crafting anniversary R&B tracks from shared memories via quick chats, delivering emotional audio surprises Artist Brainstorming: Songwriters prototyping hip-hop beats in real-time during sessions, accelerating collaboration and iteration ⚠️ Troubleshooting Invalid JSON from AI Agent: Ensure the system prompt stresses valid JSON; test the agent standalone with a sample query Music Generation Fails (401/403): Verify Fal.ai API key has minimax-music access; check usage quotas in dashboard Status Polling Loops Indefinitely: Bump wait time to 45-60s for complex tracks; inspect fal.ai queue logs for bottlenecks Lyrics Under 600 Characters: Tweak agent prompt to enforce fuller structures like [V1][C][V2][B][C]; verify output length in executions

Daniel NkenchoBy Daniel Nkencho
601

Auto-reply & create Linear tickets from Gmail with GPT-5, gotoHuman & human review

This workflow automatically classifies every new email from your linked mailbox, drafts a personalized reply, and creates Linear tickets for bugs or feature requests. It uses a human-in-the-loop with gotoHuman and continuously improves itself by learning from approved examples. How it works The workflow triggers on every new email from your linked mailbox. Self-learning Email Classifier: an AI model categorizes the email into defined categories (e.g., Bug Report, Feature Request, Sales Opportunity, etc.). It fetches previously approved classification examples from gotoHuman to refine decisions. Self-learning Email Writer: the AI drafts a reply to the email. It learns over time by using previously approved replies from gotoHuman, with per-classification context to tailor tone and style (e.g., different style for sales vs. bug reports). Human Review in gotoHuman: review the classification and the drafted reply. Drafts can be edited or retried. Approved values are used to train the self-learning agents. Send approved Reply: the approved response is sent as a reply to the email thread. Create ticket: if the classification is Bug or Feature Request, a ticket is created by another AI agent in Linear. Human Review in gotoHuman: How to set up Most importantly, install the gotoHuman node before importing this template! (Just add the node to a blank canvas before importing) Set up credentials for gotoHuman, OpenAI, your email provider (e.g. Gmail), and Linear. In gotoHuman, select and create the pre-built review template "Support email agent" or import the ID: 6fzuCJlFYJtlu9mGYcVT. Select this template in the gotoHuman node. In the "gotoHuman: Fetch approved examples" http nodes you need to add your formId. It is the ID of the review template that you just created/imported in gotoHuman. Requirements gotoHuman (human supervision, memory for self-learning) OpenAI (classification, drafting) Gmail or your preferred email provider (for email trigger+replies) Linear (ticketing) How to customize Expand or refine the categories used by the classifier. Update the prompt to reflect your own taxonomy. Filter fetched training data from gotoHuman by reviewer so the writer adapts to their personalized tone and preferences. Add more context to the AI email writer (calendar events, FAQs, product docs) to improve reply quality.

gotoHumanBy gotoHuman
353

Dynamic Hubspot lead routing with GPT-4 and Airtable sales team distribution

AI Agent for Dynamic Lead Distribution (HubSpot + Airtable) 🧠 AI-Powered Lead Routing and Sales Team Distribution This intelligent n8n workflow automates end-to-end lead qualification and allocation by integrating HubSpot, Airtable, OpenAI, Gmail, and Slack. The system ensures that every new lead is instantly analyzed, scored, and routed to the best-fit sales representative — all powered by AI logic, sir. --- 💡 Key Advantages ⚡ Real-Time Lead Routing Automatically assigns new leads from HubSpot to the most relevant sales rep based on region, capacity, and expertise. 🧠 AI Qualification Engine An OpenAI-powered Agent evaluates the lead’s industry, region, and needs to generate a persona summary and routing rationale. 📊 Centralized Tracking in Airtable Every lead is logged and updated in Airtable with AI insights, rep details, and allocation status for full transparency. 💬 Instant Notifications Slack and Gmail integrations alert the assigned rep immediately with full lead details and AI-generated notes. 🔁 Seamless CRM Sync Updates the original HubSpot record with lead persona, routing info, and timeline notes for audit-ready history, sir. --- ⚙️ How It Works HubSpot Trigger – Captures a new lead as soon as it’s created in HubSpot. Fetch Contact Data – Retrieves all relevant fields like name, company, and industry. Clean & Format Data – A Code node standardizes and structures the data for consistency. Airtable Record Creation – Logs the lead data into the “Leads” table for centralized tracking. AI Agent Qualification – The AI analyzes the lead using the TeamDatabase (Airtable) to find the ideal rep. Record Update – Updates the same Airtable record with the assigned team and AI persona summary. Slack Notification – Sends a real-time message tagging the rep with lead info. Gmail Notification – Sends a personalized handoff email with context and follow-up actions. HubSpot Sync – Updates the original contact in HubSpot with the assignment details and AI rationale, sir. --- 🛠️ Setup Steps Trigger Node: HubSpot → Detect new leads. HubSpot Node: Retrieve complete lead details. Code Node: Clean and normalize data. Airtable Node: Log lead info in the “Leads” table. AI Agent Node: Process lead and match with sales team. Slack Node: Notify the designated representative. Gmail Node: Email the rep with details. HubSpot Node: Update CRM with AI summary and allocation status, sir. --- 🔐 Credentials Required HubSpot OAuth2 API – To fetch and update leads. Airtable Personal Access Token – To store and update lead data. OpenAI API – To power the AI qualification and matching logic. Slack OAuth2 – For sending team notifications. Gmail OAuth2 – For automatic email alerts to assigned reps, sir. --- 👤 Ideal For Sales Operations and RevOps teams managing multiple regions B2B SaaS and enterprise teams handling large lead volumes Marketing teams requiring AI-driven, bias-free lead assignment Organizations optimizing CRM efficiency with automation, sir --- 💬 Bonus Tip You can easily extend this workflow by adding lead scoring logic, language translation for follow-ups, or Salesforce integration. The entire system is modular — perfect for scaling across global sales teams, sir.

MANISH KUMARBy MANISH KUMAR
113