Automate real estate listing scraper with Scrapeless and Google Sheets

Brief Overview This automation template helps you track the latest real estate listings from the LoopNet platform. By using Scrapeless to scrape property listings, n8n to orchestrate the workflow, and Google Sheets to store the results, you can build a real estate data pipeline that runs automatically on a weekly schedule. --- How It Works Trigger on a Schedule: The workflow runs automatically every week (can be adjusted to every 6 hours, daily, etc.). Scrape Property Listings: Scrapeless crawls the LoopNet real estate website and returns structured Markdown data. Extract & Parse Content: JavaScript nodes use regex to parse property titles, links, sizes, year built from Markdown. Flatten Data: Each property listing becomes a single row with structured fields. Save to Google Sheets: Property data is appended to your Google Sheet for easy analysis, sharing, and reporting. --- Features No-code, automated real estate listing scraper. Scrapes and structures the latest commercial property listings (for sale or lease). Saves structured listing data directly to Google Sheets. Fully automated, scheduled scraping—no manual scraping is required. Extensible: Add filters, deduplication, Slack/Email notifications, or multi-city scraping. --- Requirements Scrapeless API Key: Sign up on the Scrapeless Dashboard. Go to Settings → API Key Management → Create API Key, then copy the generated key. n8n Instance: Self-hosted or n8n.cloud account. Google Account: For Google Sheets API access. Target Site: This template is configured for LoopNet real estate listings but can be adapted for other property platforms like Crexi. --- Installation 1. Deploy n8n on your preferred platform. 2. Install the Scrapeless node from the community marketplace. 3. Import this workflow JSON file into your n8n workspace. 4. Create and add your Scrapeless API Key in n8n’s credential manager. 5. Connect your Google Sheets account in n8n. 6. Update the target LoopNet URL and Google Sheet details. --- Usage This automated real estate scraper is ideal for: | Industry / Role | Use Case | | ---------------------- | ----------------------------------------------------------------- | | Real Estate Agencies | Monitor new commercial properties and streamline lead generation. | | Market Research Teams | Track market dynamics and property availability in real-time. | | BI/Data Analysts | Automate data collection for dashboards and market insights. | | Investors | Keep tabs on the latest commercial property opportunities. | | Automation Enthusiasts | Example use case for learning web scraping + automation. | --- Output Example