This n8n workflow automates the process of gathering commercial real estate listings from top property websites and compiling the data into a Google Sheet for easy analysis and reporting. It is designed for weekly execution, ensuring consistent and up-to-date market insights.

The workflow begins with a schedule trigger that activates every week, typically on Monday at 8 AM. Once triggered, it sends a POST request to Bright Data’s Web Unlocker API, which bypasses common website protections and fetches the raw HTML content of property listings (e.g., office and retail spaces in San Francisco). This approach ensures reliable data collection even from sites with anti-bot measures.

Next, the workflow processes the retrieved HTML content to extract key property details such as the title, price, address, size, and listing URL using CSS selectors. These details are structured and cleaned for use in reports.

Finally, the extracted listings are appended to a specified Google Sheet, creating a live and organized database of property data. This workflow supports tasks like weekly trend analysis, price comparisons, client reporting, and dashboard creation.

Overall, this automation streamlines real estate market research, reducing manual effort and enabling timely market insights for investors, agents, or property managers.

Practical use cases include weekly market trend tracking, competitor analysis, investment review, and generating automated property reports for clients or stakeholders.