LoopNet Commercial Real Estate Scraper
Pricing
Pay per usage
LoopNet Commercial Real Estate Scraper
Extract commercial real estate for-lease listings from LoopNet. Collects property addresses, rental rates, square footage, building class, lease terms, broker contacts, and availability dates. Supports office, retail, industrial, and flex spaces across any US market.
Pricing
Pay per usage
Rating
0.0
(0)
Developer

ParseForge
Actor stats
0
Bookmarked
3
Total users
1
Monthly active users
3 days ago
Last modified
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🏠 LoopNet Commercial Real Estate Scraper
Collect commercial real estate listings from LoopNet without coding or manual copy-pasting. This tool is perfect for real estate analysts, brokers, and investors who need structured property data. Whether you want to download LoopNet data to CSV, monitor commercial lease listings, or build a LoopNet data export tool for your team, this actor handles it all automatically.
The LoopNet Commercial Real Estate Scraper collects for-lease commercial property listings with up to 24 data fields per listing, delivering structured data ready for analysis in minutes.
✨ What Does It Do
- 🌍 Address and location - Get the full street address, city, state, and ZIP code for every listing to map and analyze properties by geography
- 💰 Rental rates - Collect asking rental rates per square foot (yearly and monthly) to compare pricing across markets
- 📊 Space details - Capture available square footage, floor number, and space condition to find properties that match your exact requirements
- 🏢 Building information - Extract building name, class, and property type to evaluate quality and category at a glance
- 👤 Broker contacts - Get broker name, company, and phone number to reach out directly about listings you're interested in
- 📅 Availability dates - Know when spaces become available so you can time your leasing decisions
🔧 Input
- Search URL - Paste a LoopNet search results URL to collect listings from a specific search you've already set up
- Space Use - Choose the type of commercial space: Office, Retail, Industrial, Flex, CoWorking, or All Commercial
- Location - Enter a city and state (e.g. new-york-ny, los-angeles-ca) to search that market
- Max Items - Set how many listings to collect. Free users: up to 100. Paid users: up to 1,000,000
{"searchUrl": "https://www.loopnet.com/search/office-space/new-york-ny/for-lease/","maxItems": 10}
📊 Output
Each listing includes up to 24 data fields. Download as JSON, CSV, or Excel.
| 📝 Listing ID | 🔗 Listing URL | 🌍 Address |
|---|---|---|
| 🏙️ City | 🗺️ State | 📮 ZIP Code |
| 🏢 Building Name | ⭐ Building Class | 🏷️ Property Type |
| 🔧 Space Use | 🏗️ Floor | 📐 Space (SF) |
| 📏 Total Available (SF) | 📋 Lease Term | 💰 Rental Rate ($/SF/YR) |
| 💵 Rental Rate ($/SF/MO) | 🔨 Space Condition | 📅 Available Date |
| 👤 Broker Name | 🏢 Broker Company | 📞 Broker Phone |
| 📊 Listing Ad Level | ⭐ Premium Lister | 🕐 Collected At |
💎 Why Choose the LoopNet Scraper?
| Feature | Our Actor |
|---|---|
| Full address with city, state, ZIP | ✔️ |
| Rental rates (yearly and monthly) | ✔️ |
| Building name and class | ✔️ |
| Broker contact details | ✔️ |
| Space condition and availability date | ✔️ |
| Filter by space use type | ✔️ |
| Filter by location | ✔️ |
| Up to 1,000,000 listings per run | ✔️ |
| Premium lister detection | ✔️ |
| Export to JSON, CSV, Excel | ✔️ |
| No coding required | ✔️ |
| Residential proxy support | ✔️ |
📋 How to Use
No technical skills required. Follow these simple steps:
- Sign Up: Create a free account with $5 credit
- Find the Tool: Search for "LoopNet Commercial Real Estate Scraper" in the Apify Store and configure your input
- Run It: Click "Start" and watch your results appear
That's it. No coding, no setup, no complicated configuration. Now you can export your data in CSV, Excel, or JSON format.
🎯 Business Use Cases
- 📊 Market Analysts - Collect rental rates across multiple cities to build a commercial real estate pricing report for quarterly investor presentations
- 💼 Commercial Brokers - Monitor new office and retail listings in your target market to contact property owners before your competitors do
- 🏢 Corporate Real Estate Teams - Track available spaces in specific locations to find the best lease deals when expanding to new offices
❓ FAQ
🔍 How does it work? Enter a LoopNet search URL or pick a space type and location. The tool visits each listing and collects all available property data automatically.
📊 How accurate is the data? Data is collected directly from LoopNet listing pages, so it reflects exactly what's published on the site at the time of collection.
📅 Can I schedule regular runs? Yes. Set up a schedule on Apify to collect fresh listings daily, weekly, or at any interval you need.
⚡ How long does a run take? Collecting 100 listings typically takes 10 to 20 minutes, depending on site responsiveness and proxy speed.
🛡️ Will LoopNet block me? The tool uses residential proxies to avoid interruptions. For best results, use the recommended proxy settings.
⚖️ Is this legal? This tool collects publicly available data from LoopNet. It is your responsibility to comply with applicable laws and the site's terms of service.
⚠️ Are there any limits? Free users can collect up to 100 results per run. Paid users can collect up to 1,000,000 results per run.
🔗 Integrate LoopNet Commercial Real Estate Scraper with any app
- Make - Automate workflows
- Zapier - Connect 5000+ apps
- GitHub - Version control integration
- Slack - Get notifications
- Airbyte - Data pipelines
- Google Drive - Export to spreadsheets
💡 More ParseForge Actors
Browse our complete collection of data extraction tools for more.
🚀 Ready to Start?
Create a free account with $5 credit and collect your first 100 results for free. No coding, no setup.
🆘 Need Help?
- Check the FAQ section above for common questions
- Visit the Apify support page for documentation and tutorials
- Contact us to request a new scraper, propose a custom project, or report an issue at Tally contact form
⚠️ Disclaimer
This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by LoopNet or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.