Turn any LoopNet property page into clean, structured commercial real estate data for comps, underwriting, and broker outreach. Built for acquisitions analysts, CRE brokers, investors, and site selection teams in U.S. markets, with easy export to Sheets, Airtable, or your CRM.
This template is built for commercial real estate professionals who rely on LoopNet—acquisitions analysts, brokers, investors, and site selection managers. Convert any LoopNet listing into a structured dataset with core details like address, pricing, property specifications, availability, and broker information to streamline comps, market surveys, and pipeline tracking across U.S. markets.
Scrape one listing or run it in bulk from a list of URLs, then enrich and analyze your data: compute price per SF, tag submarkets, summarize highlights with AI, geocode for mapping, pull neighborhood stats, and sync to Google Sheets, Airtable, Notion, or your CRM (Salesforce, HubSpot). Build comps libraries, monitor changes, prioritize opportunities, and trigger broker follow-ups—without manual copy-paste.
Maintained by Bardeen: This LoopNet property scraper is built and continuously updated by Bardeen to keep pace with site changes, ensuring reliable, high-quality data for your workflows.
With Bardeen, you can do much more than just web scraping. After extracting data from any website, use Bardeen’s powerful automation tools to validate and enrich your data, run additional scrapers on linked pages, or leverage AI to qualify leads and generate content automatically. Once your data is ready, you can easily export it to CSV, Google Sheets, Airtable, or Notion for further analysis and reporting.
SOC 2 Type II, GDPR and CASA Tier 2 and 3 certified — so you can automate with confidence at any scale.
