💬 Answer real estate questions with AI using PropertyFinder.ae, OpenRouter, and SerpAPI

⚡ 576 views · 💬 Support Chatbots

💡 Pro Tip — HTTP Request scraping tends to break when sites update their markup. If you’re scraping a major platform, check if ScraperNode covers it — it has maintained scrapers for LinkedIn, Instagram, TikTok, YouTube, and 20+ other platforms that return structured data.

Description

AI Real Estate Agent with OpenRouter and SrpAPI to talk with property objects from propertyfinder.ae

This n8n template demonstrates a simple AI Agent that can:

• Scrape information from a provided propertyfinder.ae listing link.
• Answer questions about a specific property using the scraped information.
• Use SerpAPI to find details that are missing from the scraped data.
• Answer general real-estate questions using SerpAPI.

Use Case

This workflow serves as a starting point for building complex AI assistants for real estate or other domains.

See the demo video

Potential Enhancements

• Expand Knowledge: Augment the workflow with your own knowledge base using a vector database (RAG approach).
• Add More Sources: Adapt the scraper to support other real estate websites.
• Optimize Speed: Add a cache for scraped data to reduce response latency.
• Improve Context Handling: Implement reliable persistence to track the current listing instead of iterating through conversation history.
• Customize Prompts: Write more tailored prompts for your specific needs (the current one is for demonstration only).
• Integrate Channels: Connect the workflow to communication channels like Instagram, Telegram, or WhatsApp.

How It Works

1. The workflow is triggered by a “When chat message received” node for simple demonstration.
2. The Chat Memory Manager node extracts the last 30 messages for the current session.
3. A code node finds the property link, first by checking the most recent user message and then by searching the conversation history.
4. If a link is found, an HTTP Request node scrapes the HTML content from the listing page.
5. The Summarize code node parses the HTML, retrieves key information, and passes it to the AI Agent as a temporary knowledge base.
6. The final AI Agent node answers user queries using the scraped knowledge base and falls back to the SerpAPI tool when information is missing.

How to Use

• You can test this workflow directly in n8n or integrate it into any social media channel or your website.
• The AI Agent node is configured to use OpenRouter. Add your OpenRouter credentials, or replace the node with your preferred LLM provider.
• Add your SerpAPI key to the SerpAPI tool within the AI Agent node.

Requirements

• An API key for OpenRouter (or credentials for your preferred LLM provider).
• A SerpAPI key. You can get one from their website; a free plan is available for testing.

Need Help Building Something More?

Contact me on:

• Telegram: @ninesfork
• LinkedIn: George Zargaryan

Happy Hacking! 🚀

🔗 Nodes Used

HTTP Request, AI Agent, Simple Memory, SerpApi (Google Search), Chat Memory Manager, Chat Trigger

📥 Import

Download workflow.json and import into n8n: Workflow menu → Import from File

📖 Importing guide · 🔑 Credential setup