Zillow Real Estate Agents Scraper Actor

The Zillow Real Estate Agents Scraper Actor enables you to extract detailed information about real estate agents from Zillow's platform. The actor provides structured data about agents, including their profiles, ratings, and sales history, which can be downloaded in HTML, JSON, CSV, Excel, or XML formats.

Output Data Structure

For each real estate agent, the scraper returns the following data points:

1{
2    "agent_url": "/profile/The-Berns-Team",         // Zillow profile URL of the agent
3    "img": "https://photos.zillowstatic.com/...",   // High-resolution profile photo URL
4    "agent_name": "Laura Berns",                    // Full name of the agent
5    "rating": "5.0",                                // Agent's rating out of 5.0
6    "company_name": "Keller Williams Realty",       // Current brokerage affiliation
7    "price_range": "$20K",                          // Typical property price range
8    "recent_sales": "$20K"                          // Recent sales volume
9}

Why Scrape Zillow Agent Data?

Zillow is the largest real estate marketplace in the United States. Here are powerful ways to utilize this agent data:

• Lead Generation: Build targeted lists of agents based on performance metrics
• Market Analysis: Track top performers in specific regions
• Competitive Intelligence: Monitor agent movement between brokerages
• Performance Tracking: Analyze sales volumes and price ranges
• Brand Monitoring: Track brokerage market share through agent affiliations
• Marketing Insights: Understand agent specializations and market focus
• Recruitment: Identify high-performing agents for potential recruitment
• Customer Research: Help buyers find agents with relevant experience

Input Parameters

Required Fields:

• Search Query (mandatory): Location or area to search (e.g., "Texas", "Seattle, WA", "90210")

Optional Configuration:

• Proxy Configuration: Utilize Apify proxy for reliable data collection

Sample Usage

1{
2    "title": "Python Scrapy Scraper",
3    "type": "object",
4    "schemaVersion": 1,
5    "properties": {
6        "search_query":{
7            "title": "Search Query",
8            "type": "string",
9            "description": "Search query is required",
10            "editor": "textfield",
11            "prefill": "Texas"
12        },
13        "proxyConfiguration": {
14            "sectionCaption": "Proxy and HTTP configuration",
15            "title": "Proxy configuration",
16            "type": "object",
17            "description": "Specifies proxy servers that will be used by the scraper in order to hide its origin.",
18            "editor": "proxy",
19            "prefill": { "useApifyProxy": true },
20            "default": { "useApifyProxy": true }
21        }
22    },
23    "required": ["search_query"]
24}

Data Collection Features

• Profile Information: Complete agent profiles including names and images
• Performance Metrics: Ratings and recent sales data
• Business Details: Company affiliations and typical price ranges
• Market Activity: Recent sales volumes and property ranges
• Contact Information: Professional contact details where available

Legal Considerations

This scraper only collects publicly available information from Zillow agent profiles. Users should:

• Comply with Zillow's terms of service
• Handle any personal data in accordance with GDPR and other applicable regulations
• Use the data ethically and responsibly
• Seek legal advice for specific use cases if needed

Output Formats

Download your data in multiple formats:

• JSON: Structured data ideal for programming
• CSV: Perfect for spreadsheet analysis
• Excel: Ready for business analysis
• HTML: Web-ready format
• XML: For system integrations

Performance and Reliability

The actor implements:

• Smart rate limiting
• Automatic retries for failed requests
• Efficient memory management
• Parallel processing capabilities
• Robust error handling

Best Practices

1. Use specific location queries for targeted results
2. Implement appropriate request delays
3. Utilize proxy configuration for reliable data collection
4. Start with smaller areas before scaling
5. Update data regularly for accuracy

Support and Updates

The actor is regularly maintained and updated to ensure:

• Compatibility with Zillow's platform changes
• Optimal performance and reliability
• Data accuracy and completeness
• New feature implementations based on user feedback

Need help or have questions? Contact our support team through the Apify platform for assistance with implementation or customization needs.