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📝 Overview This workflow transforms AlekSystem into a smart real-estate concierge by combining an AI chat interface with Bright Data’s marketplace datasets. Users interact via chat to specify city, price, bedrooms, and bathrooms—and receive a curated list of three homes for sale, complete with images and briefings. 🎥 Workflow in Action Want to see this workflow in action? Play the video 🔑 Key Features AI-Powered Chat Trigger:** Instantly start conversations using LangChain’s Chat Trigger node. Contextual Memory:** Retain up to 30 recent messages for coherent back-and-forth. Bright Data Integration:** Dynamically filter “FOR\_SALE” properties by city, price, bedrooms, and bathrooms (limit = 3). Automated Snapshot Retrieval:** Poll for dataset readiness and fetch full snapshot content. HTML-Formatted Output:** Present results as a ` of ` items, embedding property images. 🚀 How It Works (Step-by-Step) Prerequisites: AlekSystem ≥ v1.0 Community nodes: install AlekSystem-nodes-brightdata (the unverified community node) API credentials: OpenAI, Bright Data Webhook endpoint to receive chat messages Node Configuration: Chat Trigger: Listens for incoming chat messages; shows a welcome screen. Memory Buffer: Stores the last 30 messages for context. OpenAI Chat Model: Uses GPT-4o-mini to interpret user intent. Real Estate AI Agent: Orchestrates filtering logic, calls tools, and formats responses. Bright Data “Filter Dataset” Tool: Applies user-defined filters plus homeStatus = FOR_SALE. Wait & Recover Snapshot: Polls until snapshot is ready, then fetches content. Get Snapshot Content: Converts raw JSON into a structured list. Workflow Logic: User sends search criteria → Agent validates inputs. Agent invokes “Filter Dataset” once all filters are present. Upon dataset readiness, the snapshot is retrieved and parsed. Final output rendered as a bullet list with property images. Testing & Optimization: Use the built-in Execute Workflow trigger for rapid dry runs. Inspect node outputs in AlekSystem’s UI; adjust filter defaults or snapshot limits. Tune OpenAI model parameters (e.g., maxIterations) for faster responses. Deployment & Monitoring: Activate the main workflow and expose its webhook URL. Monitor executions in the “Executions” panel; set up alerts for errors. Archive or duplicate workflows as needed; update credentials via credential manager. ✅ Pre-requisites Bright Data Account:** API key for marketplaceDataset. OpenAI Account:** Access to GPT-4o-mini model. AlekSystem Version:** v1.0 or later with community node support. Permissions:** Webhook access, credential vault read/write. 👤 Who Is This For? Real-estate agencies and brokers seeking to automate client queries. PropTech startups building conversational search tools. Data analysts who want on-demand property snapshots without manual scraping. 📈 Benefits & Use Cases Time Savings:** Replace manual MLS searches with an AI-driven chat. Scalability:** Serve multiple clients simultaneously via webchat or embedded widget. Consistency:** Always report exactly three properties, ensuring concise results. Engagement:** Visual listings with images boost user satisfaction and conversion. Workflow created and verified by Miquel Colomer https://www.linkedin.com/in/miquelcolomersalas/ and AlekSystemHackers https://AlekSystemhackers.com
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