Automated Extraction of Real Estate Listings into Google Sheets

This workflow automates the process of monitoring and extracting real estate listings from a specific website, streamlining data collection for market analysis or reporting. It starts with a scheduled trigger that runs every week, initiating a web scraping operation via Scrapeless API to fetch the latest property listings from a targeted webpage, such as LoopNet. The raw webpage data, returned in markdown format, is then processed in a code node that extracts key property details including title, link, size, year built, and image URL using regex patterns. Once the property data is parsed and cleaned, it is automatically appended or updated in a designated Google Sheets spreadsheet, ensuring the dataset stays current without manual effort. This workflow is ideal for real estate professionals, market analysts, or property managers who want to maintain an up-to-date digital listing database with minimal manual interaction.