🏢 LoopNet Business Listings Scraper

🚀 Pull US business-for-sale listings from LoopNet in minutes. Asking price, cash flow, gross income, broker contacts, location, year established. No API key, no manual CSV wrangling.

🕒 Last updated: 2026-05-08 · 📊 25+ fields per listing · 🔍 Location, price, cash flow, age filters · 🚫 No auth required

Pull live business-for-sale listings from LoopNet, one of the largest US business and commercial real estate marketplaces. The actor walks LoopNet's results with your filter combination, paginates through pages, and returns one structured record per listing ready for buyer prospecting, broker intelligence, or M&A workflows.

Every run fetches data live so you get the current state of LoopNet at run time. Records include asking price, annual cash flow, gross income, year established, location detail, broker contact, days listed, full description, and the canonical LoopNet URL.

👥 Built for	🎯 Primary use cases
Business buyers and search funds	Track new acquisition opportunities daily
Business brokers	Monitor competitor inventory and pricing
M&A advisors	Build deal flow lists by industry and geography
Lenders and SBA partners	Source qualified financing leads
Researchers	Map US small-business transaction trends
Lead-gen and CRM teams	Build broker outreach prospect lists

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📋 What the LoopNet Business Listings Scraper does

• 💰 Pricing. Asking price, cash flow, and gross income with the values LoopNet displays.
• 📍 Location. City, state, and address detail where exposed.
• 🗓️ Listing age. daysListedAgo filter to focus on fresh listings.
• 🏗️ Establishment year. Filter to mature businesses with establishedAfterYear.
• 👤 Broker contact. Broker name, company, and phone where exposed.
• 🔍 Keyword filter. Free-text keyword to narrow by industry or business type.

The scraper walks LoopNet results with your filter combination, fetches each detail page, and pushes structured records to the dataset.

💡 Why it matters: LoopNet is one of the largest sources of US business-for-sale listings but its UI is paginated and rate-limited. A live, structured pull beats manual scraping for buyer research, broker prospecting, and deal-flow monitoring.

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🎬 Full Demo

🚧 Coming soon: a 3-minute walkthrough showing setup, a live run, and how to pipe results into Salesforce or Airtable via Apify integrations.

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⚙️ Input

Field	Type	Name	Description
location	string	Location	City and state (e.g. Los Angeles, CA).
keyword	string	Keyword	Optional. Free-text keyword (e.g. restaurant, auto shop).
askingPriceMin	integer	Min Asking Price	Lower bound on asking price (0 = no limit).
askingPriceMax	integer	Max Asking Price	Upper bound on asking price (0 = no limit).
cashFlowMin	integer	Min Cash Flow	Lower bound on annual cash flow.
cashFlowMax	integer	Max Cash Flow	Upper bound on annual cash flow.
grossIncomeMin	integer	Min Gross Income	Lower bound on annual gross income.
grossIncomeMax	integer	Max Gross Income	Upper bound on annual gross income.
daysListedAgo	integer	Days Listed Ago	Max days since listing was posted (0 = all).
establishedAfterYear	integer	Established After Year	Business must be established after this year.
maxItems	integer	Max Items	Free users: limited to 10 items (preview). Paid users: optional, max 1,000,000.

Example 1. NYC restaurants $100K-$1M asking price.

{
  "location": "New York, NY",
  "keyword": "restaurant",
  "askingPriceMin": 100000,
  "askingPriceMax": 1000000,
  "maxItems": 50
}

Example 2. LA businesses with $200K+ cash flow listed in last 30 days.

{
  "location": "Los Angeles, CA",
  "cashFlowMin": 200000,
  "daysListedAgo": 30,
  "maxItems": 100
}

⚠️ Good to Know: all filters use AND logic. Setting askingPriceMin: 0 disables that bound (does not require price = 0).

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📊 Output

The dataset returns one structured record per business listing. Each record carries identifiers, asking price, financials, location, broker contact, year established, listing age, and a back-reference URL. Consume the dataset as JSON, CSV, Excel, XML, or RSS via the Apify console or API.

🧾 Schema

Field	Type	Example
🆔 listingId	string	LN-12345678
📝 title	string	Established Italian Restaurant in Manhattan
🔗 listingUrl	string (url)	https://www.loopnet.com/biz/12345678
💰 askingPrice	number	485000
💵 cashFlow	number	152000
💵 grossIncome	number	1200000
📍 location	string	New York, NY
🏙️ city	string	New York
📍 state	string	NY
🏠 address	string	123 Main St
🏷️ industry	string	Restaurant
🗓️ yearEstablished	number	1998
📅 listedDate	ISO date	2026-04-12
📅 daysListed	number	26
👤 brokerName	string	John Smith
🏢 brokerCompany	string	ABC Business Brokers
📞 brokerPhone	string	+1 212 555 1212
📝 description	string	Profitable restaurant with strong local following...
📅 scrapedAt	ISO datetime	2026-05-08T12:00:00.000Z

📦 Sample records

1. Typical record (NYC restaurant)

{
  "listingId": "LN-12345678",
  "title": "Established Italian Restaurant in Manhattan",
  "listingUrl": "https://www.loopnet.com/biz/12345678",
  "askingPrice": 485000,
  "cashFlow": 152000,
  "grossIncome": 1200000,
  "location": "New York, NY",
  "city": "New York",
  "state": "NY",
  "industry": "Restaurant",
  "yearEstablished": 1998,
  "listedDate": "2026-04-12",
  "daysListed": 26,
  "brokerName": "John Smith",
  "brokerCompany": "ABC Business Brokers",
  "brokerPhone": "+1 212 555 1212",
  "description": "Profitable restaurant with strong local following...",
  "scrapedAt": "2026-05-08T12:00:00.000Z"
}

2. High cash-flow auto shop

{
  "listingId": "LN-22334455",
  "title": "Profitable Auto Service Center Los Angeles",
  "listingUrl": "https://www.loopnet.com/biz/22334455",
  "askingPrice": 1950000,
  "cashFlow": 420000,
  "grossIncome": 2800000,
  "location": "Los Angeles, CA",
  "city": "Los Angeles",
  "state": "CA",
  "industry": "Automotive",
  "yearEstablished": 1985,
  "listedDate": "2026-04-25",
  "daysListed": 13,
  "brokerName": "Mike Johnson",
  "brokerCompany": "California Business Advisors",
  "scrapedAt": "2026-05-08T12:00:00.000Z"
}

3. Sparse record (financials not exposed)

{
  "listingId": "LN-77889900",
  "title": "Online Subscription Box Business",
  "listingUrl": "https://www.loopnet.com/biz/77889900",
  "askingPrice": null,
  "cashFlow": null,
  "grossIncome": null,
  "location": "Anywhere USA",
  "industry": "E-commerce",
  "listedDate": "2026-05-01",
  "daysListed": 7,
  "scrapedAt": "2026-05-08T12:00:00.000Z"
}

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✨ Why choose this Actor

	Capability
🎯	Built for the job. Scoped specifically to LoopNet so you skip the parser engineering entirely.
🔖	Structured output. Clean, typed fields ready for analysis, dashboards, or downstream pipelines.
⚡	Fast. Optimized request patterns return results in seconds, not minutes.
🔁	Always fresh. Every run pulls live data, so the dataset reflects LoopNet as of run time.
🌐	No infra to manage. Apify handles proxies, retries, scaling, scheduling, and storage.
🛡️	Reliable. Battle-tested across many runs and edge cases, with graceful error handling.
🚫	No code required. Configure in the UI, run from CLI, schedule via cron, or call from any language with the Apify SDK.

📊 Production-grade structured deal-flow data without the engineering overhead of building and maintaining your own scraper.

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📈 How it compares to alternatives

Approach	Cost	Coverage	Refresh	Filters	Setup
⭐ LoopNet Business Listings Scraper (this Actor)	$5 free credit, then pay-per-use	Full LoopNet business catalog	Live per run	Location, price, cash flow, age	⚡ 2 min
Build your own scraper	Engineering hours	Full once built	Whenever you maintain it	Custom code	🐢 Days to weeks
Paid M&A databases	$$$ monthly	Vendor-defined	Periodic	Vendor-defined	⏳ Hours
Manual broker outreach	Time-intensive	Limited	Stale	Phone calls	🕒 Variable

Pick this Actor when you want broad coverage, source-native filtering, and no pipeline maintenance.

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🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the LoopNet Business Listings Scraper page on the Apify Store.
3. 🎯 Set filters. Pick a location and add price + cash flow filters, then set maxItems.
4. 🚀 Run it. Click Start and let the Actor collect your data.
5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.

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💼 Business use cases

📊 Buy-side acquisition Build deal flow lists matched to your investment thesis Track new listings in target industries daily Filter by financing availability indicators Identify motivated sellers via listing-age signals	🏢 Sell-side and brokerage Monitor competitor listings and pricing in your market Build comp sets for valuation discussions Spot pricing trends by industry and geography Track days-on-market and absorption
🎯 Lead-gen and BD Source business-broker contact data for outreach Build prospect lists for lenders, accountants, attorneys Power CRM enrichment for SMB-focused services Identify owners using listing-age signals	🛠️ Engineering and product Prototype M&A and deal-flow products without owning a crawler Replace fragile in-house LoopNet scrapers Wire datasets into your apps via the Apify API or webhooks Skip the proxy, retry, and parsing maintenance entirely

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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 LoopNet Business Listings Scraper

This Actor exposes a REST endpoint, so you can drive it from any language or workflow tool.

• Node.js - call it via the Apify JS SDK.
• Python - call it via the Apify Python SDK.
• REST - hit it directly through the Apify v2 API.

Schedules. Use Apify Scheduler to capture daily snapshots of new listings. Combine with the Apify dataset diff tools to track new and changed listings between runs.

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❓ Frequently Asked Questions

💳 Do I need a paid Apify plan to run this actor?

No. You can start right now on the free Apify plan, which includes $5 in monthly credit. That is enough to run the scraper several times and explore the output. Paid plans unlock higher item caps, more concurrent runs, and larger datasets. Create a free Apify account here.

🚨 What happens if my run fails or returns no results?

Failed runs are not charged. If LoopNet changes its DOM, proxies get rate-limited, or your filters match nothing, re-run the actor or open our contact form and we will look into it.

📏 How many items can I scrape per run?

Free users are limited to 10 items per run so you can preview the output. Paid users can raise maxItems up to 1,000,000 per run.

🕒 How fresh is the data?

Every run fetches live data at the moment of execution. There is no cache or delay: records reflect what LoopNet returned at run time. Schedule the actor to maintain a rolling snapshot.

🧑‍💻 Can I call this actor from my own code?

Yes. Apify exposes every actor as a REST endpoint and ships first-class SDKs for Node.js and Python. You can start a run, read the dataset, and handle webhooks from your own app in a few lines.

📤 How do I export the data?

Every Apify dataset can be downloaded in one click as CSV, JSON, JSONL, Excel, HTML, XML, or RSS. You can also pull results programmatically via the Apify API or stream into BigQuery, S3, and other destinations through built-in integrations.

📅 Can I schedule the actor to run automatically?

Yes. Use the Apify scheduler to run the actor on any cadence, from hourly to monthly. Results are saved to your dataset and can be delivered to webhooks, email, Slack, cloud storage, or automation tools such as Zapier and Make.

🏪 Can I use the data commercially?

Yes. The scraped data is yours to use in your own internal pipelines, products, and reports, subject to the terms of service of the source site.

💼 Which plan should I pick for production use?

Apify's Starter and Scale plans are designed for production workloads. They give you faster instances, more concurrent runs, and higher proxy quotas. Pick the plan that matches your dataset size and refresh cadence.

🛠️ The data I need is not in the output. Can you add it?

Most likely yes. Open the contact form and tell us which field you need. We add fields all the time when there is a clear use case and the source page exposes the data.

⚖️ Is scraping LoopNet legal?

This Actor only collects data from publicly accessible LoopNet pages, the same content any visitor can read. Public web scraping is generally legal in most jurisdictions for non-personal data, but laws vary by country and use case. You are responsible for compliance with the source site's Terms of Service and applicable law.

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🔌 Integrate with any app

LoopNet Business Listings Scraper connects to any cloud service via Apify integrations:

• Make - Automate multi-step workflows
• Zapier - Connect with 5,000+ apps
• Slack - Get run notifications in your channels
• Airbyte - Pipe results into your warehouse
• GitHub - Trigger runs from commits and releases
• Google Drive - Export datasets straight to Sheets

You can also use webhooks to trigger downstream actions when a run finishes.

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🔗 Recommended Actors

• 🏢 BizQuest Scraper - US business-for-sale listings with full financials
• 🏪 BizBuySell Scraper - Competitor business-for-sale marketplace listings
• 🏘️ Auction.com Property Scraper - Foreclosure and auction property listings
• 🏠 Zillow Rentals Scraper - US rental listings with prices and details
• 🚙 Cars and Bids Scraper - Auction listings with bid history

💡 Pro Tip: browse the complete ParseForge collection for more reference-data scrapers.

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🆘 Need Help? Open our contact form to request a new scraper, propose a custom project, or report an issue.

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⚠️ Disclaimer. This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by LoopNet or CoStar. All trademarks mentioned are the property of their respective owners. The scraper accesses only publicly available pages and is intended for legitimate research, analytics, and lead-generation use. Users are responsible for compliance with the source site's Terms of Service and applicable law.