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

George ZargaryanGeorge Zargaryan
526 views
2/3/2026
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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:

Happy Hacking! πŸš€

n8n Workflow: AI-Powered Real Estate Question Answering with PropertyFinder.ae, OpenRouter, and SerpAPI

This n8n workflow provides an AI-driven solution for answering real estate questions. It leverages a combination of tools to understand user queries, search for relevant property information, and generate comprehensive responses.

What it does

This workflow automates the following steps:

  1. Receives Chat Messages: It triggers upon receiving a chat message, acting as the entry point for user queries.
  2. Manages Chat Memory: It maintains a conversational history to provide context for ongoing discussions.
  3. Initializes AI Agent: Sets up an AI agent (powered by LangChain) that can plan and execute tasks using various tools.
  4. Configures AI Language Model: Utilizes the OpenRouter Chat Model as the underlying large language model for the AI agent.
  5. Integrates SerpAPI for Web Search: Provides the AI agent with a SerpAPI tool to perform Google searches, enabling it to find current and relevant information.
  6. Processes AI Agent Output: After the AI agent generates a response, the workflow captures its output.
  7. Determines Response Type: It checks if the AI's response is an error or a valid answer.
  8. Handles Errors: If an error occurs during the AI agent's execution, it sets a predefined error message.
  9. Merges Outputs: Combines the successful AI response or the error message into a single output.
  10. Prepares Final Output: Formats the final answer for presentation.

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Instance: A running instance of n8n.
  • OpenRouter Account and API Key: For the OpenRouter Chat Model node.
  • SerpAPI Account and API Key: For the SerpAPI (Google Search) node.
  • LangChain Nodes: Ensure the LangChain nodes are installed in your n8n instance (@n8n/n8n-nodes-langchain).

Setup/Usage

  1. Import the Workflow: Download the provided JSON and import it into your n8n instance.
  2. Configure Credentials:
    • Locate the OpenRouter Chat Model node and configure your OpenRouter API key credential.
    • Locate the SerpAPI (Google Search) node and configure your SerpAPI API key credential.
  3. Activate the Workflow: Enable the workflow in n8n.
  4. Send a Chat Message: The workflow will now be active and listen for incoming chat messages via the When chat message received trigger. Send a real estate-related question to the configured chat platform to test it.

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