A: Hi Great question.

Yes, this type of listing / directory search agent is a very common use case for Release0, and there are a few ways to approach it depending on how your data is stored.

1. Using a Table / Database (Recommended)

If your listings are structured (columns like city, bedrooms, bathrooms, price, type), the best approach is to store them in a database-style source such as:
• Airtable
• NocoDB
• Supabase
• Google Sheets

Your agent can then:
1. Ask qualifying questions (city, budget, beds, etc.)
2. Store answers in variables
3. Query the database
4. Return matching listings

This works well for structured listing data.

2. RAG for Listing Descriptions

If you also want the agent to understand unstructured descriptions, you can combine the database with RAG-style knowledge retrieval.

Here’s an article showing a similar workflow used for RV camper sales that includes qualification and listing display:

https://release0.com/blog/how-to-create-an-agent-with-rag-in-under-5minutes-in-release0

Example agent:
https://agent.r0.ar/sales-leads-RV

This example shows how the agent can:
• Qualify users
• Retrieve relevant items
• Display listing details

⸻

3. Follow-up / Qualification Workflows

Yes, Release0 supports guided conversational flows outside the chat prompt.

You can easily create:
• Pre-qualification questions
• Multi-step workflows
• Conditional logic based on answers
• Lead capture before showing listings

This is built directly into the visual flow editor.

4. Markdown, Images, Buttons

agents can render rich responses, including:
• Images (great for listings)
• Buttons / actions
• Links
• Structured cards

5. Scraping (If No API Exists)

If your listings only exist on a website and no API is available, then your idea is correct:
1. Scrape the listings
2. Store them in a database or sheet
3. Connect that database to Release0

Many users run a scheduled scraper → database → agent query workflow.