🏢 LoopNet Commercial Property Scraper [From 💰$0.95/1K]

What does LoopNet Commercial Property Scraper do?

LoopNet Commercial Property Scraper is a commercial real estate (CRE) deal-sourcing and market intelligence tool that extracts commercial properties for sale and lease directly from LoopNet.com—capturing asking prices, lease rates, published cap rates (cap_rate), rentable building square footage (square_footage (building_size)), asset classes (Retail, Multifamily, Industrial, Office, Land, Hospitality), street addresses, and listing broker/brokerage contacts.

Whether you are screening high-yield triple-net (NNN) retail and industrial acquisitions by cap rate, building targeted outreach lists of active commercial real estate brokers (CBRE, Marcus & Millichap, Cushman & Wakefield, JLL, Colliers), or tracking commercial space supply across US markets, this scraper delivers clean, structured records in seconds.

🛡️ Zero Proxy Configuration Required: Anti-blocking and regional routing are handled automatically out of the box — just paste your target URLs and click Start.

What data can you extract with LoopNet Commercial Property Scraper?

🏢 Property Title & CRE Asset Class — listing title, property_type (Retail / Mixed-Use, Industrial, Multifamily, Office, Land, Hospitality), and unique LoopNet id
💵 Asking Price / Lease Rate & Cap Rate — formatted price (or /SF/Yr lease rate) and published cap_rate percentage
📐 Building Size & Rentable Area — square_footage (building_size) in square feet (SF), unit count, or lot acreage
📍 Full Street Address & Market — complete commercial property address (street, city, state, ZIP code)
👔 Commercial Broker & Brokerage Attribution — listing broker_name, commercial brokerage firm, property image URL, and canonical LoopNet listing url

Why scrape commercial real estate listings from LoopNet?

💪 Screen CRE acquisitions by Cap Rate and Building Size — filter hundreds of retail plazas, warehouses, and apartment complexes in Excel or Python without clicking through individual LoopNet pages
🕵️ Build active CRE broker and seller outreach lists — extract broker_name and brokerage across target states to power commercial lending, debt brokerage, cost segregation, solar, or commercial insurance outreach
✨ Monitor both For-Sale (/for-sale/) and For-Lease (/for-lease/) inventory — track industrial warehouse lease rates alongside investment property asking prices
👍 Zero proxy or account setup — built-in anti-blocking and residential proxy rotation work out of the box
📩 Automate weekly investment deal flow — connect recurring runs to Google Sheets, Airtable, HubSpot, Make, or n8n

How do I use LoopNet Commercial Property Scraper?

LoopNet Commercial Property Scraper is designed for fast, zero-configuration operation in Apify Console:

1. Click Try for free on the Actor page to open Apify Console.
2. Paste one or more LoopNet for-sale or for-lease search URLs into Start URLs (for example, https://www.loopnet.com/search/commercial-real-estate/miami-fl/for-sale/).
3. Set Max Results (maxItems) to control how many commercial property listings to collect.
4. Click Start to launch the extraction run.
5. Download your commercial real estate dataset from the Dataset tab in Excel, CSV, JSON, or HTML table format.

Input

LoopNet Commercial Property Scraper accepts a simple 2-parameter JSON configuration. Click on the Input tab for the interactive form.

{
  "startUrls": [
    {
      "url": "https://www.loopnet.com/search/commercial-real-estate/miami-fl/for-sale/"
    }
  ],
  "maxItems": 25
}

🏢 startUrls — array of LoopNet search URLs by city, county, state, or asset type (e.g., https://www.loopnet.com/search/commercial-real-estate/miami-fl/for-sale/ or https://www.loopnet.com/search/industrial-space/dallas-tx/for-lease/)
🔢 maxItems — maximum number of commercial property listings to collect per run (default: 25; Free plan runs collect up to 25 listings per run, while paid Apify plans support unlimited bulk runs)

Output sample

Results are streamed in real time to your default Apify Dataset. Each record represents a normalized LoopNet commercial property listing:

[
  {
    "id": "ln_31849201",
    "title": "Brickell Retail & Office Plaza",
    "property_type": "Retail / Mixed-Use",
    "price": "$4,850,000",
    "cap_rate": "6.45%",
    "square_footage": "18,400 SF",
    "address": "1240 SW 2nd Ave, Miami, FL 33130",
    "broker_name": "Michael Torres",
    "brokerage": "CBRE Commercial",
    "image": "https://images1.loopnet.com/i2/brickell-plaza-miami.jpg",
    "url": "https://www.loopnet.com/Listing/1240-SW-2nd-Ave-Miami-FL/31849201/",
    "source": "loopnet"
  }
]

How much does it cost to scrape LoopNet commercial listings?

LoopNet Commercial Property Scraper uses Pay-Per-Event (PPE) pricing (apify-default-dataset-item) with a $0.00 startup fee—you only pay for commercial property records delivered to your dataset:

🆓 Free plan — $0.005 per listing ($5.00 / 1,000 listings, up to 25 listings/run)
🥉 Starter (Bronze) plan — $0.0018 per listing ($1.80 / 1,000 listings)
🥈 Scale (Silver) plan — $0.00135 per listing ($1.35 / 1,000 listings)
🥇 Business+ (Gold) plan — $0.00095 per listing ($0.95 / 1,000 listings)

With the monthly free credit on the Apify Free plan, you can extract up to 1,000 LoopNet commercial property records per month for free.

💡 Predictable, All-Inclusive Pay-Per-Event Pricing: There is a $0.00 run start fee and no separate proxy configuration required. You only pay the flat per-result rate above for data successfully delivered to your dataset — works out of the box on both Free and Paid Apify plans.

How many results can you scrape with LoopNet Commercial Property Scraper?

LoopNet Commercial Property Scraper can extract hundreds to thousands of commercial listings per run on paid Apify plans (up to 25 listings per run on the Free plan). Keep these tips in mind when planning CRE acquisitions sweeps:

• Segment statewide searches by asset class or metro — LoopNet paginates up to 20 pages (~500 properties) per individual search URL. When scraping an entire state (such as Texas, Florida, or California), pass separate search URLs by asset subtype (/retail-properties/, /industrial-properties/, /multifamily-housing/, /office-buildings/) or metro in startUrls.
• Unpriced ("Price Upon Request") offerings — institutional commercial listings frequently market properties as "Price Not Disclosed" or omit the cap rate on public cards; in those cases, price or cap_rate reflects the public status while still capturing square_footage (building_size), address, and broker_name.
• Cross-check with Crexi and BizBuySell — combine LoopNet with our Crexi Commercial Real Estate Scraper to ensure 100% coverage of active US commercial inventory.

Want to scrape Zillow, ForSaleByOwner.com, Google Maps, or Brokerage Contacts?

Combine LoopNet Commercial Property Scraper with our published real estate and B2B lead enrichment Actors:

🏡 Zillow Search Scraper — extract US homes for sale, rentals, sold prices, Zestimates, beds/baths, and coordinates (From $0.90 / 1K)
🇺🇸 ForSaleByOwner.com US FSBO Scraper — scrape direct commission-free US homeowner property listings and seller details (From $0.75 / 1K)
📍 Google Maps Places Scraper — extract local brokerages, property managers, commercial businesses, phones, websites, and ratings (From $0.55 / 1K)
📧 Website Contact & Email Scraper — crawl brokerage and company domains for verified business emails, phone numbers, and social links (From $0.60 / 1K)

Integrations and LoopNet Commercial Property Scraper

LoopNet Commercial Property Scraper connects directly with your CRE acquisition CRM, underwriting spreadsheets, and automation tools through Apify integrations:

• No-Code Automation — trigger instant Slack or email deal alerts when high-cap-rate properties hit the market via Make, Zapier, n8n, or Clay.
• Spreadsheets & Databases — sync commercial property feeds directly into Google Sheets, Airtable, HubSpot, Salesforce, BigQuery, or PostgreSQL.
• Webhooks — push newly scraped CRE listings to your underwriting pipeline via HTTP webhook the moment a run finishes.

Using LoopNet Commercial Property Scraper with the Apify API

You can launch CRE search runs and fetch dataset items programmatically using the official apify-client SDKs for Node.js and Python, or connect this Actor directly to AI commercial real estate analysts via the Apify MCP Server (https://mcp.apify.com).

Check the API tab for ready-to-copy Node.js, Python, and cURL examples.

Frequently asked questions about LoopNet Commercial Property Scraper

🏗️ Does the scraper support both For-Sale (/for-sale/) and For-Lease (/for-lease/) LoopNet URLs?
Yes. You can pass any LoopNet /for-sale/ or /for-lease/ URL—including specific asset classes like industrial warehouses, medical offices, retail strip centers, multifamily apartments, or vacant land.

📈 Are Cap Rates (cap_rate) extracted automatically?
Yes. Whenever a seller or listing broker publishes a cap rate on LoopNet, it is extracted into the cap_rate field alongside the asking price and square_footage (building_size).

🛡️ Do I need to configure proxies or a LoopNet account?
No — everything works out of the box with zero setup. Regional routing, session management, and anti-blocking are handled automatically so you do not need to configure custom proxy settings.

Is it legal to scrape public commercial listings from LoopNet?

Our scrapers are ethical and only extract publicly available commercial real estate listing facts (asking prices, cap rates, building sizes, addresses, and public broker attributions) displayed to visitors on LoopNet.com. They do not access confidential offering memorandums (OMs) behind NDAs or private user accounts. For more details on the legality of web scraping, read Apify's guide on is web scraping legal.

Your feedback

We keep this Actor under active maintenance. If a run finishes successfully but returns fewer results than you expected, hangs, or errors — please open an Issue before posting a public review so we can diagnose and fix it for you.

🛠️ How to report — Use the Actor’s Issues tab in Apify Console. Include the run ID, your input JSON, and what you expected vs. what you got.
⏱️ Response time — We aim to reply within 24 hours on business days.
⭐ Reviews — Happy with the results? A short positive review helps other users find a reliable scraper. Ran into a problem? Open an Issue first — we’ll work with you to resolve it before you leave a rating.