Automated Real Estate Listing Scraper: LoopNet to Google Sheets

This n8n workflow automates the extraction of real estate listings from LoopNet, a leading commercial property platform. It leverages the Scrapeless API to crawl and retrieve structured Markdown data on properties for sale or lease, then processes this data through JavaScript nodes that use regex to parse key details like titles, links, sizes, and year built. The result is flattened into clean rows and automatically appended to a Google Sheet, enabling seamless data tracking without manual intervention.

Running on a configurable schedule (default weekly, adjustable to daily or more frequent), the workflow ensures you stay updated with fresh listings. It eliminates the need for custom scraping scripts or browser extensions, providing a no-code solution that's reliable and scalable. Benefits include time savings for real estate professionals, agents, investors, and analysts who need ongoing market intelligence.

Key features encompass automated scheduling, robust parsing for structured output, easy Google Sheets integration for analysis and sharing, and extensibility for additions like deduplication, notifications via Slack/Email, or multi-location scraping. Requirements are minimal: a Scrapeless API key and n8n instance (self-hosted or cloud). Use cases include market monitoring, lead generation, competitive analysis, portfolio tracking, and building custom real estate dashboards.