AI chat agent: Dumpling AI + GPT-4o to auto-save local business data to Airtable

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: 1. Extracts local business leads using a Local Business Agent from Dumpling AI. 2. Pulls current news related to the business type or location using a News Agent from Dumpling AI. 3. Uses GPT-4o to combine both responses into a human-readable summary. 4. Extracts structured lead data like name, category, and city. 5. 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.