🏢 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.

🎯 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

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📋 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.

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🎬 Full Demo

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

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⚙️ Input

Input	Type	Default	Behavior
startUrls	array	1 sample URL	CommercialCafe listing search URLs. Each is walked end-to-end, paginating until exhausted or maxItems is hit. When set, the geo / type fields below are ignored.
maxItems	integer	10	Records returned per run. Free plan caps at 10 (preview), paid plan at 1,000,000.
country	string	"us"	Country to search in. us or ca. Used only when startUrls is empty.
state	string	(empty)	Two-letter state (US) or province (Canada) code, lowercase. Examples: ny, ca, tx, fl, on, bc.
city	string	(empty)	City slug, lowercase, hyphens for spaces. Examples: new-york, los-angeles, san-francisco. Leave empty for state-wide.
propertyType	string	"all"	One of all, office, industrial, retail, flex, land, special-purpose, multifamily, coworking.
listingType	string	"all"	Filter lease vs sale. all, for-lease, or for-sale.
fetchDetails	boolean	true	Open each property's detail page to capture broker contacts, full description, image gallery, geo. Disable for fast metadata-only pulls.
useResidentialProxy	boolean	true	Route traffic through Apify residential proxies. Recommended (and on by default) because CommercialCafe is fronted by Cloudflare.
proxyCountry	string	"US"	Country code for the residential proxy IP pool. Match the listing country.

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.

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📊 Output

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

🧾 Schema

Field	Type	Example
🖼️ imageUrl	string	https://cdn.commercialcafe.com/images/.../1.jpg
🏷️ title	string	69 Mercer Street
🔗 url	string	https://www.commercialcafe.com/commercial-property/us/ny/new-york/69-mercer-street/
🆔 propertyId	string	841305
📮 address	string	69 Mercer Street
🏙️ city	string	New York
🗺️ state	string	NY
🌍 country	string	US
📬 postalCode	string	10012
🏘️ neighborhood	string	SoHo
🏢 propertyType	string	Mixed Use - Office / Retail
📜 listingType	string	for-lease
💵 askingPrice	number	2750000
💲 askingRent	string	$73.04/SF/YR
🔢 askingRentNumeric	number	73.04
📐 rentUnit	string	SF/YR
📏 buildingSize	number	15000
📦 availableSpace	string	1,596 - 5,200 SF (5 spaces)
⬇️ minSpaceAvailable	number	1596
⬆️ maxSpaceAvailable	number	5200
📅 yearBuilt	integer	1890
🛠️ yearRenovated	integer	2018
🏷️ buildingClass	string	B
🏗️ stories	integer	7
📐 lotSize	string	0.05 Acre
🅿️ parking	string	Surface, 12 spaces
📍 latitude	number	40.7226320
📍 longitude	number	-74.0005640
📝 description	string	Welcome to 69 Mercer Street, an exceptional property...
👤 brokerName	string	John Pasquale
🏢 brokerCompany	string	Pep Real Estate LLC
☎️ brokerPhone	string	(212) 555-0142
🖼️ images	array	["https://cdn.commercialcafe.com/.../1.jpg", ...]
🕒 scrapedAt	string	2026-05-09T01:55:24.310Z
❌ error	string	populated only if a record could not be scraped

📦 Sample records

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✨ Why choose this Actor

	Capability
🛡️	Cloudflare-safe by default. Stealth Firefox + Apify residential proxies. No "Just a moment" pages, no manual challenge solving.
📐	Parsed numeric fields. Rent, building size, available space ranges, lat/long all returned as numbers and ready for sorting and analytics, plus the original display strings.
🗺️	Geo-coded out of the box. Latitude and longitude on every record so you can drop the dataset onto a map without a separate geocoding step.
🆔	Stable property IDs for clean reruns. Daily snapshots dedupe on CommercialCafe's internal Property ID, not fuzzy address matching.
🏬	Eight property type filters. Office, retail, industrial, flex, land, special purpose, multifamily, coworking, each as a first-class input.
🇺🇸🇨🇦	US + Canada coverage. All 50 states, DC, Puerto Rico, plus 13 Canadian provinces and territories, no extra setup.
🖼️	Image galleries included. Every listing returns its full photo set, ready for slide decks, dashboards, and broker outreach.

📊 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.

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📈 How it compares to alternatives

Approach	Cost	Coverage	Refresh	Filters	Setup
Manual copy-paste	Hours/week	One market at a time	Stale by 9am	None	None
Paid CRE data subscriptions	$500-$5,000/mo	National	Daily	Rich	Sales call required
In-house headless browser	Engineer time	Whatever you build	Whatever you schedule	Whatever you build	Build + maintain
Generic web scraper templates	Low	None for CommercialCafe	None	None	DIY
Other community scrapers	Free / freemium	Inconsistent	Often broken	Limited	Variable
⭐ CommercialCafe Scraper (this Actor)	Apify usage only	US + Canada, 8 property types	On demand or scheduled	8 property types, lease/sale, geo	One JSON input

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.

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🚀 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.

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💼 Business use cases

🏘️ Commercial brokers Daily new-listing alerts in your top markets Lease-comp datasets for client tour books Submarket rent benchmarks for BOV decks Cold-prospect lists segmented by asset class	🧑‍💼 Tenant-rep advisors Live availability inventory across submarkets Asking-rent ranges for negotiation playbooks Building age and class filters for client preferences Side-by-side suite comparisons in seconds
💰 Acquisitions and capital markets Cap-rate research feeds for underwriting Tracking of stalled or relisted assets Owner / brokerage market-share analysis Pipeline triggers when new for-sale stock hits	🏢 PropTech and analytics teams Reference data for CRE platforms and apps Geo-coded inventory for map UIs Training data for valuation and matching models Competitive monitoring for portfolio products

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🌟 Beyond business use cases

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

🎓 Research and academia Empirical datasets for papers, thesis work, and coursework Longitudinal studies tracking changes across snapshots Reproducible research with cited, versioned data pulls Classroom exercises on data analysis and ethical scraping	🎨 Personal and creative Side projects, portfolio demos, and indie app launches Data visualizations, dashboards, and infographics Content research for bloggers, YouTubers, and podcasters Hobbyist collections and personal trackers
🤝 Non-profit and civic Transparency reporting and accountability projects Advocacy campaigns backed by public-interest data Community-run databases for local issues Investigative journalism on public records	🧪 Experimentation Prototype AI and machine-learning pipelines with real data Validate product-market hypotheses before engineering spend Train small domain-specific models on niche corpora Test dashboard concepts with live input

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🔌 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.

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❓ Frequently Asked Questions

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🔌 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.

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🔗 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.

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

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⚖️ 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.