PART 1: Generate README.md

Loopnet Scraper

Introduction

The Loopnet Scraper is a powerful Apify Actor designed to extract detailed commercial real estate data from Loopnet listings. It automates the collection of property information such as prices, addresses, and specifications, enabling users to gather insights efficiently without manual browsing. Ideal for real estate professionals, analysts, and businesses seeking accurate, structured data for decision-making.

Features

• Comprehensive Data Extraction: Scrapes key details from Loopnet property listings, including pricing, location, size, and property type.
• High Reliability: Utilizes robust scraping techniques with built-in error handling to ensure consistent data retrieval.
• Proxy Support: Integrates Apify's proxy system for residential IPs, minimizing detection and blocking risks.
• Scalable Performance: Handles multiple URLs concurrently, making it suitable for large-scale data collection.
• Customizable Inputs: Flexible URL list input allows targeted scraping of specific listings.
• JSON Output: Delivers clean, structured data in JSON format for easy integration with other tools.
• Apify Integration: Seamlessly runs on the Apify platform with monitoring and export options.

Input Parameters

Parameter	Type	Required	Description	Example
urls	array	Yes	A list of URLs of the Loopnet pages to scrape data from. Each URL should point to a specific property listing.	["https://www.loopnet.com/Listing/13690-Montana-Ave-El-Paso-TX/34466072/"]
proxyConfiguration	object	No	Specifies proxy servers to hide the scraper's origin. Defaults to Apify's residential proxies for better success rates.	{"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"]}

Example Usage

Input

{
  "urls": [
    "https://www.loopnet.com/Listing/13690-Montana-Ave-El-Paso-TX/34466072/"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

Output

[
  {
    "url": "https://www.loopnet.com/Listing/13690-Montana-Ave-El-Paso-TX/34466072/",
    "title": "13690 Montana Ave",
    "price": "$1,500,000",
    "address": "13690 Montana Ave, El Paso, TX 79938",
    "propertyType": "Industrial",
    "squareFootage": "10,000",
    "yearBuilt": "2005",
    "description": "Prime industrial property with excellent access to major highways."
  }
]

Use Cases

• Market Research and Analysis: Gather data on commercial properties to analyze trends in pricing and availability across regions.
• Competitive Intelligence: Monitor competitors' listings to track new developments or pricing strategies.
• Price Monitoring: Set up automated checks for property value changes to inform investment decisions.
• Content Aggregation: Compile listings into databases for real estate portals or reports.
• Academic Research: Collect data for studies on urban development or economic impacts of commercial real estate.
• Business Automation: Integrate scraped data into CRM systems for lead generation in real estate sales.

Installation and Usage

1. Search for "Loopnet Scraper" in the Apify Store
2. Click "Try for free" or "Run"
3. Configure input parameters
4. Click "Start" to begin extraction
5. Monitor progress in the log
6. Export results in your preferred format (JSON, CSV, Excel)

Output Format

The Actor outputs data in JSON array format, where each object represents a scraped property. Key fields include:

• url: The source URL of the listing.
• title: The property title.
• price: Listed price.
• address: Full address details.
• propertyType: Type of property (e.g., Industrial, Office).
• squareFootage: Size in square feet.
• yearBuilt: Construction year.
• description: Brief property description. Data is structured for easy parsing and integration.

Support

For custom/simplified outputs or bug reports, please contact:

• Email: support@getdataforme.com
• Subject line: "custom support"
• Contact form: https://getdataforme.com/contact/

We're here to help you get the most out of this Actor!

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PART 2: Generate Description (STRICT: 280-295 characters ONLY)