Send AI-personalized LinkedIn outreach from Google Sheets with Azure OpenAI and ConnectSafely

Open on n8n.io

$20/month : Unlimited workflows

2500 executions/month

Try free

THE #1 IN WEB SCRAPING

Scrape any website without limits

Try free

HOSTINGER

Early Deal
DISCOUNT 20%

Self-hosted n8n

Unlimited workflows - from $4.99/mo

Try free

#1 hub for scraping, AI & automation

6000+ actors - $5 credits/mo

Try free

1. Workflow Overview

Description Automate personalized LinkedIn outreach at scale using AI and real prospect data. This workflow pulls leads from Google Sheets, generates human like LinkedIn messages with Azure...

Best for

Lead Nurturing automation workflows
Multimodal AI automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.stickynote, n8n-nodes-base.if, n8n-nodes-base.googlesheets, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatazureopenai, n8n-nodes-base.scheduletrigger, n8n-nodes-base.splitinbatches, n8n-nodes-connectsafely-ai.connectsafelylinkedin

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Rahul Joshi.

Original n8n.io source

1.1 Workflow description

Title: Send AI-personalized LinkedIn outreach from Google Sheets with Azure OpenAI and ConnectSafely
Workflow name: Send AI-personalized LinkedIn outreach from Google Sheets with Azure OpenAI and ConnectSafely

📊 Description

Automate personalized LinkedIn outreach at scale using AI and real prospect data. 🤖📧 This workflow pulls leads from Google Sheets, generates human-like LinkedIn messages with Azure OpenAI, and sends them safely via the ConnectSafely LinkedIn API. It intelligently avoids duplicate messages, validates delivery, and updates message status back into your sheet automatically. Perfect for consistent, non-salesy B2B outreach with zero manual effort.

What This Template Does

⏰ Triggers automatically on a daily schedule to start LinkedIn outreach.

📄 Fetches prospect details from Google Sheets for processing.

🔁 Loops through prospects in controlled batches to avoid API limits.

🧠 Uses AI to generate personalized LinkedIn messages based on role, company, industry, and activity.

✅ Checks if a message already exists to prevent duplicates.

💾 Saves generated messages back to Google Sheets for tracking.

🔍 Fetches LinkedIn profile data and profile URNs via ConnectSafely.

💬 Sends personalized LinkedIn messages safely using the ConnectSafely API.

📊 Updates Google Sheets with message delivery status and LinkedIn profile links.

Key Benefits

✅ Fully automated LinkedIn outreach with no manual copywriting ✅ AI-driven personalization for higher reply rates ✅ Prevents duplicate messages automatically ✅ Centralized tracking inside Google Sheets ✅ Safe LinkedIn messaging using ConnectSafely APIs ✅ Scalable daily outreach without risking account limits

Features

Scheduled trigger for daily LinkedIn outreach
Google Sheets integration for lead management
Azure OpenAI (GPT-4o-mini) for AI message generation
Batch processing for rate-limit safety
Conditional logic to validate message creation
ConnectSafely LinkedIn API for profile lookup and message sending

Requirements

Google Sheets account with prospect data
Azure OpenAI credentials (GPT-4o-mini access)
ConnectSafely LinkedIn API credentials
n8n instance with scheduled workflows enabled

Target Audience

B2B founders and agency owners doing LinkedIn outreach
Sales and lead generation teams
Growth marketers running outbound campaigns
Automation consultants building LinkedIn workflows

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Main Overview

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 2 - Section: Data Retrieval

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 3 - Section: AI Message Generation

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 4 - Section: Message Validation & Sending

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 5 - Warning: Azure OpenAI

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 6 - Warning: ConnectSafely

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 7 - Check if Message Exists

Type / Role: n8n-nodes-base.if - if
Config choices: Version 2.3

Block 8 - Save Generated Message to Sheet

Type / Role: n8n-nodes-base.googleSheets - googleSheets
Config choices: Version 4.7

Block 9 - Generate Personalized Message with AI

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 3

Block 10 - Azure OpenAI GPT-4o-mini

Type / Role: @n8n/n8n-nodes-langchain.lmChatAzureOpenAi - lmChatAzureOpenAi
Config choices: Version 1

Block 11 - Validate Message Not Empty

Type / Role: n8n-nodes-base.if - if
Config choices: Version 2.3

Block 12 - Fetch Updated Prospect Data

Type / Role: n8n-nodes-base.googleSheets - googleSheets
Config choices: Version 4.7

Block 13 - Get Prospects from Sheet

Type / Role: n8n-nodes-base.googleSheets - googleSheets
Config choices: Version 4.7

Block 14 - Daily Schedule Trigger (5 PM)

Type / Role: n8n-nodes-base.scheduleTrigger - scheduleTrigger
Config choices: Version 1.3

Block 15 - Batch Process Prospects

Type / Role: n8n-nodes-base.splitInBatches - splitInBatches
Config choices: Version 3

Block 16 - Send LinkedIn Message via ConnectSafely

Type / Role: n8n-nodes-connectsafely-ai.connectSafelyLinkedIn - connectSafelyLinkedIn
Config choices: Version 1

Block 17 - Get LinkedIn Profile Data

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.3

Block 18 - Extract Profile URN and Identifiers

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 19 - Update Sheet with Send Status

Type / Role: n8n-nodes-base.googleSheets - googleSheets
Config choices: Version 4.7

3. Summary Table

Workflow	Send AI-personalized LinkedIn outreach from Google Sheets with Azure OpenAI and ConnectSafely
Complexity	advanced
Nodes	19
Categories	Lead Nurturing, Multimodal AI
Author	Rahul Joshi
Published	02 Feb 2026

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/13172/13172.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Lead Nurturing workflows Multimodal AI workflows

Frequently asked questions

What does Send AI-personalized LinkedIn outreach from Google Sheets with Azure OpenAI and ConnectSafely do?

Description Automate personalized LinkedIn outreach at scale using AI and real prospect data. This workflow pulls leads from Google Sheets, generates human like LinkedIn messages with Azure...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Lead Nurturing, Multimodal AI use case.

Rahul Joshi

269 workflows

Nodes

n8n-nodes-base.stickynote n8n-nodes-base.if n8n-nodes-base.googlesheets @n8n/n8n-nodes-langchain.agent @n8n/n8n-nodes-langchain.lmchatazureopenai n8n-nodes-base.scheduletrigger n8n-nodes-base.splitinbatches n8n-nodes-connectsafely-ai.connectsafelylinkedin

Complexity

advanced

Published 02 Feb 2026

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/13172/13172.json

Share Your Workflow

Have a useful automation to share? Publish it and help the community.

Submit Your Template How to Submit

Related Workflows

Re-engage missed property viewings with Google Calendar, Gemini, Gmail, and WhatsApp

## Quick overview When a buyer misses a scheduled viewing, this workflow automatically sends an AI-personalized follow-up by email and WhatsApp using Google Gemini, then logs the outcome to Google Sheets, recovering leads that would otherwise go cold. ## How it works 1. Triggers every 15 minutes when a Google Calendar event is updated in the selected viewings calendar. 2. Checks the event title/summary and continues only if it contains the tag “no-show”. 3. Extracts the lead’s name, email, phone, property address, and scheduled viewing time from the calendar event details. 4. Sends the lead and viewing context to Google Gemini to generate an email message and a WhatsApp message in JSON format. 5. Parses and cleans the AI output into safe HTML for email and a trimmed plain-text WhatsApp message. 6. Sends the re-engagement email via Gmail and appends the follow-up outcome to a Google Sheets log. 7. If a phone number is available, sends the WhatsApp message and updates a Google Sheets status field to record that WhatsApp was sent. ## Setup 1. Connect credentials for Google Calendar, Gmail, Google Sheets, and a Google Gemini (PaLM) API key. 2. Select the correct Google Calendar (viewings calendar) and ensure missed appointments are consistently tagged with “no-show” in the event summary. 3. Create or choose a Google Sheets document and sheet, then fill in the document ID/URL, sheet name, and the columns expected by the append/update logging steps. 4. Configure WhatsApp credentials in n8n (or disable the WhatsApp branch) and ensure lead phone numbers are stored in the calendar event description in the expected format (e.g., Name: ... | Email: ... | Phone: ... |). ## Requirements - Before running this workflow, create a Google Sheet with these exact column headers: Record ID | Lead Name | Email | Phone | Property Address | Original Viewing Time | Email Sent | WhatsApp Sent | Email Message Text | WhatsApp Message Text | Timestamp ## Customization - Edit the AI prompt in "Draft Re-Engagement Messages" to change tone or language - Add SMS or other channels by duplicating the WhatsApp branch pattern - Adjust the "no-show" tag keyword if your calendar uses different terminology ## Additional info WhatsApp is optional. If you don't have WhatsApp Business Cloud API credentials, disable that branch — the email follow-up will still send normally. This template assumes calendar events are tagged with "no-show" in the title and include lead contact info in the event description (Name: ... | Email: ... | Phone: ... |).

View

Quote freight shipments via WhatsApp with Google Gemini, HighLevel, and Warp

## Quick overview Youtube Video: https://youtu.be/kO4LgKT6oME?si=VpUEz2LKuxMujrUp This workflow receives WhatsApp messages, checks the sender in HighLevel, and uses Google Gemini with Redis chat memory to collect shipment details, then requests an LTL quote from the Warp API, applies a commission, and replies with either a conversational prompt or a final freight quote. ## How it works 1. Receives an incoming WhatsApp message and only continues when the text body is not empty. 2. Looks up the sender’s phone number in HighLevel and stops contacts marked as Do Not Disturb from being processed further. 3. Uses a Google Gemini-powered agent with Redis chat memory to ask for missing contact and freight details in a fixed order, optionally creating the HighLevel contact or marking the lead as DND when the user opts out. 4. Parses the agent’s structured JSON output and checks whether the required shipment data collection is complete. 5. If data is incomplete, sends the agent’s conversational reply back to the user via WhatsApp. 6. If data is complete, posts the shipment details to the Warp LTL quote API, adds a configured commission percentage to the returned price, and sends the finalized quote back to the user via WhatsApp. ## Setup 1. Connect WhatsApp credentials for both the WhatsApp Trigger and WhatsApp “send message” actions, and configure the webhook in Meta/WhatsApp so inbound messages reach this workflow. 2. Add a HighLevel OAuth2 credential and confirm your HighLevel account has permission to search contacts, create contacts, and update the DND field. 3. Add a Google Gemini (PaLM) API credential and a Redis credential for chat memory, and ensure Redis is reachable from your n8n instance. 4. Add an HTTP Header Auth credential for the Warp API and verify the quote endpoint URL, headers, and request body fields match your Warp account requirements. 5. Adjust the commission percentage value (and any quoting assumptions like weight per pallet) to match your pricing policy.

View

Qualify web leads and send replies with Groq, Gmail, Sheets and Slack

## Quick Overview This workflow receives new lead form submissions via webhook, uses Groq (OpenAI-compatible Chat Completions) to score and draft a reply, then sends the email via Gmail, logs the lead to Google Sheets as a lightweight CRM, and posts a lead alert to Slack. ## How it works 1. Receives a POST request from your lead/contact form via a webhook. 2. Extracts and normalizes common form fields (name, email, message, service interest, phone, company) and stops if no email is provided. 3. Sends the lead details to Groq’s Chat Completions API to generate a lead score/tier, intent summary, urgency, a drafted reply email, and a Slack note. 4. Parses the Groq JSON response and flags leads as “hot” when the score is 8 or higher. 5. Sends the drafted reply to the lead using Gmail. 6. Appends the lead details and AI outputs to a Google Sheets “Leads-CRM” sheet and posts a formatted alert to a Slack channel. 7. Returns a JSON confirmation response to the original webhook request. ## Setup 1. Configure your form provider to POST submissions to the workflow’s webhook URL (path: `/new-lead`). 2. Add an HTTP Header Auth credential containing your Groq API key for the Groq Chat Completions request. 3. Connect Gmail OAuth2 credentials and set the desired Reply-To address (default is `[email protected]`). 4. Connect Google Sheets OAuth2 credentials and update the target spreadsheet and sheet to match your CRM columns. 5. Connect Slack credentials and choose the destination channel (default: `#leads`).

View

Need Custom Automation?

Get help designing a custom n8n workflow that connects your stack and fits your process.

Send AI-personalized LinkedIn outreach from Google Sheets with Azure OpenAI and ConnectSafely

Workflow preview

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

📊 Description

What This Template Does

Key Benefits

Features

Requirements

Target Audience

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Main Overview

Block 2 - Section: Data Retrieval

Block 3 - Section: AI Message Generation

Block 4 - Section: Message Validation & Sending

Block 5 - Warning: Azure OpenAI

Block 6 - Warning: ConnectSafely

Block 7 - Check if Message Exists

Block 8 - Save Generated Message to Sheet

Block 9 - Generate Personalized Message with AI

Block 10 - Azure OpenAI GPT-4o-mini

Block 11 - Validate Message Not Empty

Block 12 - Fetch Updated Prospect Data

Block 13 - Get Prospects from Sheet

Block 14 - Daily Schedule Trigger (5 PM)

Block 15 - Batch Process Prospects

Block 16 - Send LinkedIn Message via ConnectSafely

Block 17 - Get LinkedIn Profile Data

Block 18 - Extract Profile URN and Identifiers

Block 19 - Update Sheet with Send Status

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions