🏢 CommercialCafe Scraper

🚀 Track US and Canadian commercial real estate listings in seconds. Pull office, retail, industrial, flex, and land records straight from CommercialCafe with addresses, asking rents, building stats, and broker contacts. No CSV exports, no copy-paste, no missed listings.

The CommercialCafe Scraper turns CommercialCafe.com search pages into structured JSON. CommercialCafe is one of the largest free commercial real estate listing networks in North America, run by Yardi (the same group behind RENTCafe and PointToPoint). Point this Actor at a city, state, or property-type search URL and it walks every result page, opens each property's detail view, and pulls down the full listing record. Each row carries a clean street address with city, state, ZIP and country codes, the geographic coordinates for mapping, the property type and class, building size and year built, the number of stories, available space ranges, asking rent or sale price, the listing broker and brokerage, plus a deep image gallery for previews and slide decks.

The Actor handles the full US + Canada geography (50 states, DC, Puerto Rico, all 13 Canadian provinces and territories), filters by 8 property types (office, retail, industrial, flex, land, special purpose, multifamily, coworking), and toggles between for-lease and for-sale inventory. Pages are loaded through stealth Firefox over Apify residential proxies so Cloudflare's challenge layer stays out of the way. Output drops directly into spreadsheets, BI tools, or your real-estate pipeline. Use it to monitor new listings every morning, build cap-rate and rent-comp datasets across markets, feed broker-prospecting workflows, or track tenant-improvement opportunities by submarket and asset class.

🎯 Target Audience	💡 Primary Use Cases
Commercial real estate brokers, leasing specialists, asset managers, tenant-rep advisors, acquisitions analysts, market researchers, PropTech builders	Daily new-listing alerts, lease comp building, rent-trend analysis by submarket, broker-prospecting lists, cap-rate research, market-share tracking, investor pipeline feeds

📋 What the CommercialCafe Scraper does

Five extraction modes from a single Actor:

• 🔎 Geo-and-type search builder. Pick a country, state, city, property type, and lease-or-sale filter and the Actor builds the matching CommercialCafe URL automatically.
• 🔗 Custom search URLs. Paste any fully formed CommercialCafe listing URL (filters, sorts, advanced parameters) and skip the builder.
• 📑 Deep pagination. Walks every result page in sequence until coverage saturates or maxItems is reached.
• 🧱 Stable property IDs. Each record keys to CommercialCafe's internal numeric Property ID, so daily re-runs deduplicate cleanly.
• 🖼️ Detail-page enrichment. Opens each property page to capture broker details, full description, building stats, geo coordinates, and the full image gallery. Disable with fetchDetails=false for fast metadata-only pulls.

Each record carries 30 fields including the canonical listing URL, building name and street address, city / state / postal code / country, neighborhood and submarket label, latitude and longitude, property type, listing type (for-lease vs for-sale), asking rent (raw + numeric + unit) or asking sale price, building size, available-space range with parsed min and max, year built and renovated, building class (A / B / C), number of stories, lot size, parking, listing broker name and brokerage company, plus the photo gallery.

💡 Why it matters: Most commercial brokers spend the first hour of every morning reloading CommercialCafe pages, copy-pasting addresses and rents into spreadsheets, and reconciling duplicates by hand. This Actor turns that morning ritual into a scheduled job that lands fresh records in your pipeline before standup, so the analyst time goes into deal work, not data entry.

📊 Data fields

Each record includes: address, askingPrice, askingRent, availableSpace, brokerCompany, brokerName, buildingClass, buildingSize, city, country, imageUrl, listingType, parking, propertyType, scrapedAt, state, stories, title, url, yearBuilt. These field names come straight from the actor's dataset schema, so what you see here is what lands in your dataset.

⚠️ Good to Know: CommercialCafe sits behind Cloudflare's managed challenge layer. Keep useResidentialProxy on and match proxyCountry to the listing geography (US for US listings, CA for Canada). Datacenter proxies are blocked. Detail pages are opened sequentially with small randomized delays so a 10-listing run takes about a minute and a 200-listing run takes 15-20 minutes.

🚀 How to use

1. ✨ Create a free Apify account. Sign up at console.apify.com.
2. 🧭 Open the Actor. Find the CommercialCafe Scraper in the Apify Store and click Try for free.
3. 📝 Configure your search. Either paste a CommercialCafe URL into startUrls or pick a country / state / city / property type from the form. Set maxItems and hit Start.
4. ⏳ Wait for the run. A 10-listing preview takes about a minute. A few hundred records typically finishes in under 30 minutes.
5. ⬇️ Export the dataset. Download as JSON, CSV, Excel, or wire the dataset URL into your warehouse, BI tool, or downstream broker pipeline.

⏱️ Total time: about three minutes from sign-up to your first downloaded CSV.

🔗 Recommended Actors

• 🏠 Zillow Scraper - residential listings, perfect companion when your CRE pipeline also touches mixed-use buildings.
• 🏢 James Edition Real Estate Scraper - luxury and trophy real estate listings worldwide.
• 🌳 LandWatch Scraper - rural land, ranches, and undeveloped acreage across the US.
• 🚛 CommercialTruckTrader Scraper - sister vertical for fleet and commercial vehicle inventory.
• 🏷️ Auction.com Property Scraper - distressed and foreclosure inventory for opportunistic acquisitions.

💡 Pro Tip: browse the complete ParseForge collection for more real estate, business intelligence, and lead-generation actors.

⚖️ Disclaimer: This Actor scrapes only publicly available listing data from CommercialCafe.com. ParseForge is not affiliated with, endorsed by, or sponsored by CommercialCafe or Yardi Systems. Verify each record against the source before relying on it for legal, financial, or transactional decisions, and always review CommercialCafe's terms of service and your local laws before running at scale or redistributing the data.

🆘 Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.

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