Redfin Scraper – Property Listings, Prices & Images Extractor

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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⚡ Quick Start

1. Paste one or more Redfin property URLs.
2. Click Run Actor.
3. The dataset will contain structured property data ready for analysis or automation.

Example property URL:

https://www.redfin.com/CA/Los-Angeles/2652-Stoner-Ave-90064/home/6754797

The Actor will automatically extract:

• price
• beds and baths
• square footage
• property type
• full address
• property images
• structured metadata

Runs typically complete in under 10 seconds per listing, making the Actor suitable for scheduled monitoring workflows.

⚙️ 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 Dataset

Each run produces structured property records ready for automation pipelines, dashboards, or CRM enrichment.

Typical fields include:

• listing_url
• property_id
• price
• beds
• baths
• sqft
• year_built
• property_type
• address
• image
• images
• scraped_at
• status_code

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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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🔗 Build a Complete Automation Pipeline

This Actor can be combined with other automation tools to build reliable data pipelines.

Typical workflow:

1️⃣ Redfin Scraper – Property Listings, Prices & Images Extractor
Extract structured real estate listing data.

2️⃣ Universal Data Cleaner V3 – CRM & Excel Data Cleaning Tool
Normalize and clean datasets before importing into CRM or analytics tools.

3️⃣ Website Availability Monitor – Change Detection & Uptime Tracking
Monitor listing pages or property URLs for updates or availability changes.

Together these tools allow teams to build automated real estate monitoring and data pipelines for analytics, lead generation, and investment research.

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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.