LoopNet Business Listings Scraper

Name: LoopNet Business Listings Scraper
Author: parseforge

by parseforge

Automatically extract business listings, financials, and contact details from LoopNet. Perfect for brokers, investors, and market researchers needing reliable data.

49 runs

7 users

Try This Actor

Opens on Apify.com

About LoopNet Business Listings Scraper

Need to find commercial real estate opportunities or analyze market trends? This LoopNet scraper pulls the detailed listing data you're actually looking for. I built it because I got tired of manually copying property specs, financials, and contact info from hundreds of pages. It automates the whole process, gathering everything from square footage and cap rates to the direct contact details for brokers and sellers. It runs reliably in the cloud, so you can set it up, input your search criteria, and come back to a clean dataset without tying up your own computer. I've found it's a huge time-saver for business brokers vetting properties, investors screening for deals, and researchers compiling market reports. The data comes out structured and ready for a spreadsheet or your CRM, letting you focus on analysis and outreach instead of data entry. It handles the pagination and detail page navigation on LoopNet, so you get the complete picture on each listing.

What does this actor do?

LoopNet Business Listings Scraper is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.

Key Features

Cloud-based execution - no local setup required
Scalable infrastructure for large-scale operations
API access for integration with your applications
Built-in proxy rotation and anti-blocking measures
Scheduled runs and webhooks for automation

How to Use

Click "Try This Actor" to open it on Apify
Create a free Apify account if you don't have one
Configure the input parameters as needed
Run the actor and download your results

Documentation

LoopNet Business Listings Scraper

Scrapes detailed business-for-sale listings from LoopNet.com for lead generation, market research, and investment analysis.

Categories: LEAD_GENERATION, AUTOMATION

Overview

This actor extracts structured data from LoopNet business listings. It's designed for business brokers, investors, and researchers who need comprehensive data on businesses for sale, including financials, location, and contact details.

Key Features

Comprehensive Data Extraction: Captures business names, descriptions, summaries, and specifications (employee count, franchise status, year established).
Financial Metrics: Scrapes asking price, cash flow, gross income, and revenue.
Location & Contact Info: Gets city, state, region, full contact names, phone numbers, and listing URLs.
Media & Assets: Collects business images and attachment gallery links.
Advanced Filtering: Uses LoopNet's API filters to target listings by location, keyword, price ranges, cash flow, days listed, and establishment year.
Structured Output: Returns data in JSON, CSV, Excel, XML, or HTML formats.

How to Use

Configure the actor using input fields. It uses API filters only; startUrl is not supported.

Input

Required Field:
* location - The geographical area to search (e.g., "Los Angeles, CA"). Must be in "City, State" format.

Optional Filter Fields:
* keyword - Search term (e.g., "restaurant", "franchise").
* askingPriceMin / askingPriceMax - Asking price range. Use 0 for no limit.
* cashFlowMin / cashFlowMax - Cash flow range. Use 0 for no limit.
* grossIncomeMin / grossIncomeMax - Gross income range. Use 0 for no limit.
* daysListedAgo - Filter by listing age in days. Use 0 for all.
* establishedAfterYear - Filter businesses established after a given year. Use 0 for all.

Optional System Field:
* maxItems - Maximum number of listings to collect. Free users are limited to 100. Paid users can set this up to 1,000,000; leave empty for unlimited (capped at 1,000,000 for paid users).

Example Input Configuration (JSON):

{
  "location": "Los Angeles, CA",
  "keyword": "restaurant",
  "askingPriceMin": 100000,
  "askingPriceMax": 1000000,
  "cashFlowMin": 50000,
  "cashFlowMax": 500000,
  "grossIncomeMin": 200000,
  "grossIncomeMax": 1000000,
  "daysListedAgo": 30,
  "establishedAfterYear": 2018,
  "maxItems": 10
}

Output

After the run completes, the dataset contains the scraped listings. The number of items depends on your maxItems setting and available results. Data can be downloaded in Excel, HTML, XML, JSON, or CSV format.

The output includes fields such as imageUrl, businessName, description, askingPrice, cashFlow, contactName, phone, location, and businessSpecifications.