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🏢 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.

🕒 Last updated: 2026-05-09 · 📊 30 fields per listing · 🇺🇸🇨🇦 US + Canada · 🏬 8 property types · 🛡️ Cloudflare-safe by default

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.

📋 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.

🎬 Full Demo

🚧 Coming soon: a 3-minute walkthrough from sign-up to a downloaded dataset.

⚙️ Input

Example: 200 office listings in Manhattan.

{
"country":"us",
"state":"ny",
"city":"new-york",
"propertyType":"office",
"listingType":"for-lease",
"maxItems":200
}

Example: industrial properties for sale across Texas using a custom URL.

{
"startUrls":[
{"url":"https://www.commercialcafe.com/industrial/us/tx/?listingType=for-sale"}
],
"maxItems":500,
"fetchDetails":true,
"proxyCountry":"US"
}

⚠️ 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.

📊 Output

A clean dataset, one row per property, ready for spreadsheets, BI tools, or your data warehouse.

🧾 Schema

📦 Sample records

✨ Why choose this Actor

📊 In our cloud verification run, 5 of 5 sampled listings returned with complete title, address, geo coordinates, asking rent, building size, year built, and broker, plus 23-50 images each.

📈 How it compares to alternatives

The trade-off is straightforward: paid data feeds give you years of history and proprietary datasets, this Actor gives you the public listing layer fresh, in your shape, on your schedule, for the price of a few minutes of compute.

🚀 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.

💼 Business use cases

🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

🔌 Automating CommercialCafe Scraper

Run the Actor on a schedule, trigger it from an API call, or wire it into your data pipeline.

• Node.js: apify-client handles auth, run-and-wait, dataset pagination.
• Python: apify-client for Python gives you the same flow from a notebook or pipeline.
• REST docs: the Apify API reference covers run-sync, async start, dataset export, and webhook callbacks.

For recurring runs, use Apify Schedules to fire the Actor every morning before standup, every hour during a market push, or weekly for trend dashboards. Combine with Webhooks to push fresh records into Slack, Airtable, or your CRM the moment a run finishes.

❓ Frequently Asked Questions

🔌 Integrate with any app

• Make - drop CommercialCafe rows into Airtable, Google Sheets, or Slack with no code.
• Zapier - chain runs into HubSpot, Salesforce, Pipedrive, and 5,000+ other apps.
• n8n - build self-hosted broker pipelines with custom branching logic.
• LangChain - use listings as a tool in your AI agents and RAG pipelines.
• Webhooks - push fresh records to your warehouse or CRM the moment a run completes.
• REST API - call the Actor directly from any language, get back JSON or 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.

🆘 Need Help? Open our contact form and we'll get back within one business day.

⚖️ 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.