Who is this for?
This workflow is for digital marketers, small business owners, lead generation agencies, and VAs who need a scalable way to find and store local business leads using AI. It’s especially useful for teams that want to enrich leads with real-time news insights and save the structured data to Airtable.
What problem is this workflow solving?
Manually researching local businesses and staying up to date with relevant news is time-consuming and inefficient. This automation eliminates that burden by using Dumpling AI chat agents to generate leads and context, GPT-4o to summarize, and Airtable to store everything in one place.
What this workflow does
This AI workflow listens for a manual trigger in n8n and executes the following steps:
- Extracts local business leads using a Local Business Agent from Dumpling AI.
- Pulls current news related to the business type or location using a News Agent from Dumpling AI.
- Uses GPT-4o to combine both responses into a human-readable summary.
- Extracts structured lead data like name, category, and city.
- Saves the summary and lead data into Airtable for easy follow-up.
Setup
1. Create AI Agents in Dumpling AI
- Sign in at Dumpling AI
- Create two separate agents:
- Local Business Agent: Designed to respond with structured lists of businesses by location and category.
- News Agent: Designed to fetch relevant recent news and summaries about a specific industry or region.
- After setting up each agent, copy the Agent Key from Dumpling AI. These keys will be required in the headers of your HTTP Request nodes in n8n.
2. Manual Trigger
- This workflow begins with a manual trigger inside n8n, Which is the When chat message is recieved.
- This makes it easy to test and reuse, especially during setup.
3. Get Local Business Data from Dumpling AI
- The first HTTP Request node sends a prompt like
List 5 top real estate companies in Atlanta with full address and services
.
- Include your Local Business Agent Key in the
x-agent-key
header.
- The response will return a structured list of business leads.
4. Get News Context from Dumpling AI
- The second HTTP Request node sends a prompt such as
Give me the latest news related to the real estate market in Atlanta
.
- Use your News Agent Key in the header.
- This fetches a brief set of recent news summaries relevant to the businesses being researched.
5. Use GPT-4o to Merge and Summarize
- The GPT node combines the list of businesses and news into one coherent summary.
- You can modify the prompt to output in paragraph format, bullet points, or structured notes.
6. Save Lead to Airtable
- The Airtable node sends all structured fields into your selected base and table.
- Be sure to connect your Airtable account and confirm the columns match exactly.
How to customize this workflow
- Replace the prompt inside the HTTP node to focus on different types of businesses or cities.
- Expand the GPT output to include additional lead info like websites, phone numbers, or emails if the agent includes them.
- Add a webhook trigger to allow this flow to be run via a chatbot, external app, or button.
- Link to HubSpot or another CRM to sync the leads automatically.
- Duplicate the process to run for multiple industries in parallel.
Final Notes
- You must create and configure your Dumpling AI agents first before running this workflow.
- The Agent Keys from Dumpling AI are required in both HTTP Request nodes.
- This flow is modular and flexible, ready for deeper CRM integrations.
- The manual trigger is great for testing, but you can add a Webhook node to automate it.
This workflow helps you launch an intelligent lead gen process that combines location-targeted business discovery, AI-generated insights, and structured CRM-friendly output, all powered by Dumpling AI and OpenAI.