Scrape company-associated properties from CoStar into a clean table, including company name, address, association type (owner/manager/tenant/agent), building name, type, building class, status, RBA/GLA, SF available, and rent per SF/year. Ideal for CRE prospecting, portfolio analyses, and comp building, with easy export to Google Sheets, Airtable, or your CRM and options to enrich, summarize, and filter the data.
Who it's for: Commercial real estate professionals—brokers, tenant reps, acquisitions and research analysts, and asset managers—working primarily across the U.S. and Canada who need fast, reliable access to a company’s property footprint from CoStar professional pages.
How it helps: Capture structured fields like URL, company name, address, association type, building name, type, building class, status, RBA/GLA, SF avail, and Rent/SF/yr directly from CoStar company property pages, then analyze instantly. Filter by building class or status, roll up RBA/GLA by market, compute average and weighted rents, flag vacancies, and segment by association type to prioritize landlord outreach or tenant rep opportunities. With Bardeen’s automations you can enrich addresses (e.g., geocode for mapping), summarize portfolios with AI, create comp sets, and push curated lists to Google Sheets, Airtable, or your CRM for pipeline building and reporting.
This template is maintained and updated by Bardeen to reflect changes on CoStar, ensuring high-quality, reliable data extraction.
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.
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