This n8n workflow automates the process of extracting, analyzing, and organizing real estate data from property listings using Bright Data and OpenAI. Starting with a manual trigger, it fetches property details from a specified URL through Bright Data’s web unlocking service, ensuring access to protected data. The workflow then converts the obtained markdown content into structured information with AI models, extracting reviews and detailed property data like images, price, location, and amenities. The structured data is saved locally as JSON, updated in a Google Sheet, and simultaneously sent to an external webhook for further processing or notifications. Practical use cases include real estate agencies automating property data collection, market analysis, or creating structured property databases for marketing and client inquiries.
Automated Real Estate Data Extraction & Analysis Workflow
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.informationExtractor, @n8n/n8n-nodes-langchain.lmChatOpenAi, aggregate, function, googleSheets, httpRequest, manualTrigger, merge, readWriteFile, set, stickyNote |
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