Realtor.com Agent Scraper 🏠πŸ‘₯ avatar

Realtor.com Agent Scraper 🏠πŸ‘₯

Pricing

from $2.99 / 1,000 results

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Realtor.com Agent Scraper 🏠πŸ‘₯

Realtor.com Agent Scraper 🏠πŸ‘₯

Scrape real estate agent profiles from Realtor.com, including their contact details, service areas, experience, listings, and performance metrics. Perfect for lead generation and market research.

Pricing

from $2.99 / 1,000 results

Rating

1.0

(1)

Developer

EasyApi

EasyApi

Maintained by Community

Actor stats

5

Bookmarked

255

Total users

15

Monthly active users

10 days ago

Last modified

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Extract detailed information about real estate agents from Realtor.com. This actor helps you gather comprehensive data about real estate professionals, their performance, and market coverage.

🎯 Use Cases

  • Lead generation for real estate services
  • Market research and competitor analysis
  • Finding top-performing agents in specific areas
  • Building real estate agent databases
  • Analyzing agent performance metrics

✨ Features

  • Scrapes detailed agent profiles including:
    • Contact information (phone, email, office details)
    • Professional experience and credentials
    • Service areas and zip codes covered
    • Current listings and recent sales data
    • Performance metrics (review counts, ratings)
    • Team information and brokerage details
    • Social media links
  • Handles pagination automatically
  • Respects rate limits and uses smart delays
  • Supports proxy configuration
  • Provides clean, structured JSON output

πŸ’Ž Output

The actor provides detailed JSON data for each agent, including:

  • Personal and professional information
  • Contact details and office location
  • Areas served and specializations
  • Current listings and price ranges
  • Sales history and performance metrics
  • Professional certifications and designations

πŸ”§ Input Parameters

  • searchUrls: Array of Realtor.com agent search URLs (e.g., "https://www.realtor.com/realestateagents/90001/")
  • maxItems: Maximum number of agents to scrape (default: 1000)
  • proxyConfiguration: Optional proxy settings for better success rates

πŸš€ Tips

  • Use specific location URLs for targeted results
  • Adjust maxItems based on your needs
  • Enable proxy configuration for better reliability
  • Consider rate limits and be respectful of the website

πŸ“Œ Limitations

  • Respects Realtor.com's terms of service
  • Some agent information may be limited based on privacy settings
  • Rate limiting may affect scraping speed

Input Example

A full explanation of an input example in JSON.

{
"searchUrls": [
"https://www.realtor.com/realestateagents/90001/"
],
"maxItems": 30
}

Output sample

The results will be wrapped into a dataset which you can always find in theΒ StorageΒ tab. Here's an excerpt from the data you'd get if you apply the input parameters above:

And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML.

[
{
"searchUrl": "https://www.realtor.com/realestateagents/90001/",
"scrapedAt": "2026-05-25T11:14:18.562Z",
"agent": {
"id": "568ff89789a68901006bc981",
"is_paid": true,
"is_realtor": true,
"fulfillment_id": "1265874",
"display_ratings": false,
"has_rps": false,
"avatar": {
"url": "https://ap.rdcpix.com/b7f92d7e61d13093617a49998eb79e70r-c1441995755rd-w144_h144.jpg",
"initials": "JC",
"__typename": "AgentAvatar"
},
"broker": {
"name": "Renaissance Realty Group - Broker",
"fulfillment_id": "4550230",
"__typename": "AgentBrokerage"
},
"office": {
"name": "Renaissance Realty Group",
"__typename": "AgentOffice"
},
"fullname": "Jamial Clark",
"ratings_reviews": {
"average_rating": 5,
"recommendations_count": 1,
"reviews_count": 4,
"__typename": "AgentRatingsReviews"
},
"listing_stats": {
"combined_annual": {
"min": 113000,
"max": 905000,
"__typename": "AgentListingStatisticsCombined"
},
"for_sale": {
"count": 1,
"last_listing_date": "2026-05-21T00:17:18Z",
"max": 739000,
"min": 739000,
"__typename": "AgentListingStatisticsForSale"
},
"recently_sold_annual": {
"count": 7,
"__typename": "AgentListingStatisticsSold"
},
"recently_sold_listing_details": {
"listings": [
{
"baths": 2,
"beds": 3,
"city": "Los Angeles",
"photo": "https://ap.rdcpix.com/db386b14b2160301b25d67e9a383e6a0l-m2363276392rd-w100_h67.jpg",
"state_code": "CA",
"__typename": "AgentListingRecentlySoldDetails"
},
{
"baths": 3,
"beds": 3,
"city": "Inglewood",
"photo": "https://ap.rdcpix.com/152216b5dd57880e45d02c539265ac3cl-m3462666862rd-w100_h67.jpg",
"state_code": "CA",
"__typename": "AgentListingRecentlySoldDetails"
},
{
"baths": 2,
"beds": 2,
"city": "Inglewood",
"photo": "https://ap.rdcpix.com/62ffdea6de872c7f57bdd789ff975ebbl-m231276346rd-w100_h67.jpg",
"state_code": "CA",
"__typename": "AgentListingRecentlySoldDetails"
}
],
"show_additional": true,
"__typename": "AgentListingsRecentlySold"
},
"__typename": "AgentListingStatistics"
},
"services": {
"buyer": [
"Access to market insights",
"Early access to new listings",
"Persuasive offer proposals",
"Home inspection support",
"Pre-approval assistance",
"Lender referrals",
"Other professional network referrals"
],
"seller": [
"Open houses",
"Professional photography",
"Your own website",
"Postcards and flyers",
"Virtual tour",
"Comparative market analysis"
],
"__typename": "AgentServices"
},
"sorting_weight": 60,
"__typename": "AgentBranding"
}
},
...
]