Redfin Property Data Extractor – Listings & Prices

Extract structured property data from Redfin listings using a stability-focused architecture designed for automation, monitoring, and analytics workflows.

Built for long-term reliability — not fragile scraping.

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📊 What This Actor Extracts

Structured real estate listing data including:

Core Property Fields

• Listing URL
• Property ID
• Price
• Bedrooms
• Bathrooms
• Interior square footage
• Year built
• Property type
• Full address
• Scraped timestamp
• Extraction status

Media

• Primary listing image
• All available listing images

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🧠 Architecture & Reliability

Unlike basic scrapers, this Actor uses a layered extraction strategy designed for stability:

1. JSON-LD structured data parsing (SEO-backed schema data)
2. DOM fallback parsing using stable test identifiers
3. Block detection with controlled retry and backoff
4. Transparent status reporting (ok, partial, blocked, failed)

Built with Playwright to support JavaScript-heavy pages and dynamic content.

Optimized for:

• container execution
• scheduled workflows
• monitoring pipelines

No brittle hacks. Designed for sustainable automation.

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🎯 Ideal For

• Real estate agents
• Property investors
• Market researchers
• CRM enrichment teams
• Automation engineers
• Analytics & dashboard pipelines

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🔍 Common Use Cases

• Lead generation pipelines
• Property data enrichment
• Market price monitoring
• Investment research workflows
• Scheduled property tracking
• Real estate dashboards

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⚙️ Input

Field	Type	Required	Description
start_urls	Array	Yes	Redfin property URLs
maxListings	Number	No	Limit number of listings
testMode	Boolean	No	Enable QA-safe mode
timeoutSeconds	Number	No	Maximum runtime

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📝 Example Input

{
  "start_urls": [
    "https://www.redfin.com/CA/Los-Angeles/2652-Stoner-Ave-90064/home/6754797"
  ],
  "maxListings": 1,
  "testMode": false,
  "timeoutSeconds": 120
}

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📤 Example Output

{
  "listing_url": "...",
  "property_id": "6754797",
  "price": "1325000",
  "beds": "4",
  "baths": "2",
  "sqft": "1317",
  "year_built": "1940",
  "property_type": "Single Family Residential",
  "address": "...",
  "image": "https://...",
  "images": "https://...,https://...",
  "status_code": "ok",
  "scraped_at": "2026-02-26T16:17:42Z"
}

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🛡 Built for Real-World Conditions

Large real estate platforms often use advanced anti-automation protections.

This Actor prioritizes:

• Structured data extraction first
• Controlled execution
• Block detection
• Retry logic
• Honest extraction status

Designed for monitoring workflows and reliable data pipelines, not fragile one-time scraping.

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🔗 Related Actors

You may also find these Actors useful:

• Universal Data Cleaner V3 – CRM & Excel Data Cleaning Tool • Universal Web Extractor V8 – Fast No-Code Web Data Extraction • Website Availability Monitor – Change Detection & Uptime Tracking

These tools can be combined to build complete automation pipelines for extraction, cleaning, and monitoring.

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💼 Need More?

For high-volume extraction, custom automation systems, or large-scale monitoring pipelines, contact the author through the Apify profile.

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📜 Compliance

This Actor accesses publicly available listing pages only.

Users are responsible for ensuring their usage complies with the target website's terms of service and applicable regulations.