Block 1 - Sticky Note
- 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.
Automate Outreach Prospect automates finding, enriching, and messaging potential partners (like restaurants, malls, and bars) using Apify Google Maps scraping, Perplexity enrichment, OpenAI LLMs, G...
n8n-nodes-base.stickynote, @devlikeapro/n8n-nodes-waha.wahatrigger, n8n-nodes-base.manualtrigger, n8n-nodes-base.scheduletrigger, n8n-nodes-base.googledrivetrigger, n8n-nodes-base.set, @apify/n8n-nodes-apify.apify, n8n-nodes-base.httprequest
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Khairul Muhtadin.
Original n8n.io sourceAutomate Outreach Prospect automates finding, enriching, and messaging potential partners (like restaurants, malls, and bars) using Apify Google Maps scraping, Perplexity enrichment, OpenAI LLMs, Google Sheets, Pinecone knowledge, and WhatsApp sending via GOWA. It turns a manual, slow outreach funnel into a repeatable pipeline so your team spends time closing deals instead of copy-pasting contact details.
This workflow uses community nodes for WhatsApp functionality:
Manual scrape start or scheduled jobs: Daily Outbound Schedule, Schedule Outbound message, or Knowledge Base Updated Trigger.
Apify Google Maps Scraper gathers business listings (location, phone, socials). Results are fetched and saved to Google Sheets (Raw Data). Unenriched records are split and enriched via Perplexity, then saved back.
OpenAI LLM creates personalized initial messages, and a Reply Handler AI Agent, uses Pinecone/knowledge embeddings to interpret replies and decide next actions (save PICs, request meeting, send proposal).
Outbound messages are sent over WhatsApp using GOWA nodes (typing indicators, simulated typing delays, read receipts) and replies are handled & stored; qualified PIC contacts are appended to a Leads sheet.
Google Sheets is the central datastore (Raw Data, Leads Collected). Knowledge base lives in Google Drive and Pinecone (n8n-recharge, namespace CompanyKnowledgeBased). Conversation memory stored in Postgres/Neon.
Import Workflow: Import JSON file to your n8n instances
Add Credentials:
Customize Parameters:
Update Configuration:
Test Setup: Run a manual scrape with a real location and send a single outbound message to verify WhatsApp delivery and reply handling.
Made by: Khaisa Studio
Need custom work? Contact Me
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 64 workflow blocks. Download the JSON for the full node graph.
| Workflow | Automate business partner outreach with Google Maps, GPT-4 & WhatsApp |
|---|---|
| Complexity | advanced |
| Nodes | 64 |
| Categories | AI Chatbot, Multimodal AI |
| Author | Khairul Muhtadin |
| Published | 23 Aug 2025 |
Use the JSON export at /data/workflows/7763/7763.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.
Automate Outreach Prospect automates finding, enriching, and messaging potential partners (like restaurants, malls, and bars) using Apify Google Maps scraping, Perplexity enrichment, OpenAI LLMs, G...
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 AI Chatbot, Multimodal AI use case.