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🏘️ Rew Keyword Parser Script · Apify Actor

Extract real estate property listings by city and province from REW using clean, structured JSON — perfect for property research, investment analysis, and real estate automation.

Built and maintained by DataWizards.

📌 What Is Rew Keyword Parser Script?

Rew Keyword Parser Script is a powerful Apify Actor that allows you to scrape property listings from REW based on city and province code.

Simply provide a city and province code, and the actor will return structured property data including:

• Listing URL
• Title
• Price
• Property Image
• Bedrooms, bathrooms & size
• Property type
• Location details
• Agent information

No manual browsing. No login required. Fully automated.

🧠 Key Features

✅ City-Based Property Extraction ✅ Structured JSON Output ✅ Extracts Price, Title, Image, Agent & More ✅ Captures Property Size & Bed/Bath Details ✅ Supports Residential Proxies ✅ Scalable & Automation-Friendly ✅ Ideal for Canadian Real Estate Monitoring

🛠️ Input Schema

{
"proxyConfiguration":{
"useApifyProxy":true,
"apifyProxyGroups":["RESIDENTIAL"]
},
"City":"toronto",
"ProvienceCode":"on"
}

🔐 Proxy Configuration

Using residential proxies helps ensure higher success rates and reduces blocking risks.

📤 Output Example

[
{
"city":"toronto",
"provience_code":"on",
"source_url":"https://www.rew.ca/properties/1902-5791-yonge-street-toronto-on",
"title":"1902-5791 Yonge Street, Toronto, ON, M2M 0A8",
"price":"$645,000",
"image":"https://assets-listings.rew.ca/listing/treb_dla/C12827424/00_C12827424_bd6accffc22b58b9b1d818b4c2ae3827.jpeg",
"details":["2 + 1 bd","2 ba","900 - 999 sf"],
"property_type":"1902 - 5791 Yonge Street",
"location":["Newtonbrook West","Toronto"],
"agent":"Nima Khadem Group"
}
]

🚀 Use Cases

🏠 Real Estate Market Research – Monitor property listings by city 📊 Investment Analysis – Compare pricing and property sizes 📈 Competitor Tracking – Analyze listing trends 🤖 CRM Integration – Feed listings into internal systems 📍 Location Intelligence – Track neighborhood-level insights 📉 Price Monitoring – Observe market fluctuations

📊 Extracted Data Fields

• City
• Province Code
• Listing URL
• Title
• Price
• Image URL
• Property Details (Beds, Baths, SqFt)
• Property Type
• Location (Neighborhood & City)
• Agent Name

✅ Best Practices

✔ Always enable Residential proxies ✔ Use standardized lowercase city names ✔ Schedule recurring runs for monitoring ✔ Store historical datasets for comparison ✔ Avoid excessive rapid requests

🔎 SEO Advantages

This actor is optimized for:

• REW scraper
• REW property data extractor
• Toronto real estate scraper
• Canada property listing scraper
• Apify real estate actor
• Property price monitoring API

🔄 Customization Available

Need enhancements?

• Pagination support
• Historical price tracking
• Filter by property type
• CSV / Excel-ready output
• Webhook integration
• Simplified or expanded JSON structure

✨ DataWizards are always ready to implement changes tailored to your workflow.

🤝 Support

For custom/simplified outputs or bug reports:

📩 Email: hello.datawizard@gmail.com ✉️ Subject: Rew Keyword Parser Script – Custom Support Request

🔗 LinkedIn: https://linkedin.com/in/data-wizards-aa8080342

We provide fast and professional support.

🐞 Bug Reports

Found an issue?

📧 Email: hello.datawizard@gmail.com ✉️ Subject: Bug Report – Rew Keyword Parser Script

Or report directly on the Apify platform.

🧰 Why Choose DataWizards?

✔ Clean structured JSON ✔ Scalable scraping architecture ✔ Reliable proxy integration ✔ Built for automation ✔ Dedicated support team

Whether you're building a real estate analytics dashboard, lead generation tool, or investment monitoring system — we’ve got you covered.