Block 1 - Sticky Note2
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
This workflow is provided as-is. Please review and test before using in production.
This workflow finds potential customers, gathers detailed info about them and their companies, and then uses AI to research them in detail and write personalized messages for LinkedIn and a series ...
n8n-nodes-base.stickynote, n8n-nodes-base.set, n8n-nodes-base.code, n8n-nodes-base.filter, n8n-nodes-base.googlesheets, n8n-nodes-base.httprequest, @n8n/n8n-nodes-langchain.openai, n8n-nodes-base.scheduletrigger
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Gain FLow AI.
Original n8n.io sourceThis workflow finds potential customers, gathers detailed info about them and their companies, and then uses AI to research them in detail and write personalized messages for LinkedIn and a series of four cold emails. All this data is organized in Google Sheets for easy tracking and use.
This tool is perfect for salespeople, marketers, and business owners. It saves you a lot of time by automating lead finding, research, and email writing. This helps you send many personalized messages quickly, leading to more replies and better sales.
You start by telling the workflow who you want to reach (e.g., "Marketing Agencies," "New York," "COOs"). The workflow then uses scrapers (from Apify) to find these people on Apollo.io and LinkedIn, collecting their contact details and company information.
Next, an AI analyzes all this data. It creates a detailed report on each company, including what they do, their strengths, recent news, and possible challenges they face. This report helps the AI then write a friendly LinkedIn message opener and a 4-part hyper-personalised cold email series specifically for each person. These emails cover problems you can solve, success stories, and a clear next step. Finally, all the prospect details and generated messages are saved neatly in your Google Sheets.
[email protected].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.
Showing the first 24 of 30 workflow blocks. Download the JSON for the full node graph.
| Workflow | AI-powered lead generation with Apollo, LinkedIn research & 4-step personalized emails |
|---|---|
| Complexity | advanced |
| Nodes | 30 |
| Categories | Lead Generation, Multimodal AI |
| Author | Gain FLow AI |
| Published | 17 Jul 2025 |
Use the JSON export at /data/workflows/6101/6101.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
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.
This workflow finds potential customers, gathers detailed info about them and their companies, and then uses AI to research them in detail and write personalized messages for LinkedIn and a series ...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
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 Generation, Multimodal AI use case.