Sothebys International Realty Scraper

Introduction

The Sothebys International Realty Scraper is a powerful Apify Actor designed to extract real estate listings from Sotheby's International Realty websites. It enables users to gather comprehensive property data based on location queries, making it ideal for market analysis, investment research, and data-driven decision-making. By automating the scraping process, this tool saves time and ensures access to up-to-date, structured information from a prestigious real estate platform.

Features

• Location-Based Scraping: Supports multiple location search queries to target specific regions or cities for precise data extraction.
• Customizable Item Limits: Allows users to set maximum items to scrape, optimizing performance and resource usage.
• Proxy Integration: Utilizes Apify's residential proxies to bypass geo-restrictions and ensure reliable, undetected scraping.
• High-Quality Data: Extracts structured data including property details, prices, and locations, ensuring accuracy and completeness.
• Scalable and Efficient: Built with Python Scrapy for robust performance, handling large volumes of data without compromising speed.
• Easy Integration: Outputs data in JSON format, compatible with various tools for further analysis or automation.
• Error-Resilient: Includes built-in handling for common scraping challenges like rate limits and site changes.

Input Parameters

Parameter	Type	Required	Description	Example
queries	array	Yes	A list of location search queries to specify areas for scraping real estate listings.	["pasadena", "los angeles"]
item_limit	integer	No	The maximum number of property items to scrape per query. Helps control data volume and processing time.	30
proxyConfiguration	object	No	Configures proxy settings to hide the scraper's origin and avoid IP bans. Defaults to Apify's residential proxies.	{"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"]}

Example Usage

Input Example

{
  "queries": ["pasadena", "beverly hills"],
  "item_limit": 50,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

Output Example

[
  {
    "title": "Luxury Villa in Pasadena",
    "price": "$2,500,000",
    "location": "Pasadena, CA",
    "bedrooms": 4,
    "bathrooms": 3,
    "square_feet": 3200,
    "description": "Stunning modern villa with panoramic views.",
    "url": "https://www.sothebysrealty.com/property/luxury-villa-pasadena"
  },
  {
    "title": "Contemporary Home in Beverly Hills",
    "price": "$5,000,000",
    "location": "Beverly Hills, CA",
    "bedrooms": 5,
    "bathrooms": 4,
    "square_feet": 4500,
    "description": "Elegant contemporary home with pool and garden.",
    "url": "https://www.sothebysrealty.com/property/contemporary-home-beverly-hills"
  }
]

Use Cases

• Market Research and Analysis: Analyze property trends, prices, and availability in specific locations to inform real estate strategies.
• Competitive Intelligence: Monitor listings from Sotheby's to compare with competitors and identify market gaps.
• Price Monitoring: Track price changes for properties of interest, aiding investors in timing purchases or sales.
• Content Aggregation: Collect data for real estate blogs, reports, or databases to build comprehensive property portfolios.
• Academic Research: Gather data for studies on housing markets, urban development, or economic indicators.
• Business Automation: Integrate scraped data into CRM systems or dashboards for automated reporting and alerts.

Installation and Usage

1. Search for "Sothebys International Realty Scraper" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters as needed.
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 format as an array of objects. Each object represents a scraped property listing and includes fields such as title (property name), price (listing price), location (address or area), bedrooms (number of bedrooms), bathrooms (number of bathrooms), square_feet (property size), description (brief overview), and url (link to the listing). This structured format ensures easy parsing and integration with other tools for analysis or visualization.

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!