Turn any LoopNet search results page into a clean, export-ready dataset with property URL, lot size, city, state, zip code, and price—ideal for U.S. commercial real estate investors, brokers, and analysts to build comps and deal pipelines, prioritize outreach, and sync to Google Sheets, Airtable, or Notion.
This template is built for commercial real estate professionals—acquisitions teams, buyer reps, analysts, and proptech researchers—who source opportunities on LoopNet. It extracts key fields from LoopNet for-sale search results, including property URL, lot size, city, state, zip code, and price, so you can compile market snapshots, compare pricing by ZIP, and shortlist targets across metros in minutes.
Use the Bardeen extension to enrich and process your dataset: open property URLs to collect additional details, ask AI to standardize lot size and compute price per SF/acre, segment by submarket, and export to Google Sheets, Airtable, or Notion. This is perfect for building an acquisitions pipeline, creating weekly comps, and planning territory coverage—while you dedupe, tag, score, and assign follow-ups in a single flow.
Maintained by Bardeen: this scraper is actively monitored and updated to keep pace with LoopNet 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.
