Rew Buy Scraper

The Rew Buy Scraper is an Apify Actor designed to extract real estate property listings from REW.ca, a popular Canadian real estate platform. It enables users to search for properties by keywords and retrieve detailed information such as prices, locations, and images, making it a powerful tool for market analysis. This Actor streamlines data collection, saving time and effort for real estate professionals, researchers, and investors.

Features

• Keyword-Based Search: Allows targeted scraping of property listings using specific search keywords like city or neighborhood names.
• Comprehensive Data Extraction: Retrieves key property details including price, title, neighborhood, city, beds, baths, size, and images.
• Structured JSON Output: Delivers clean, machine-readable data in JSON format for easy integration and analysis.
• Configurable Limits: Supports setting maximum requests to control crawl depth and avoid overloading the target site.
• Efficient Crawling: Utilizes CheerioCrawler for fast, lightweight scraping with built-in error handling.
• Rate Limiting Compliance: Respects website rate limits to ensure reliable and ethical data extraction.
• Versatile Applications: Ideal for market research, price monitoring, and competitive intelligence in the real estate sector.

Input Parameters

Parameter	Type	Required	Description	Example
searchKeyword	string	Yes	The search keyword for which you want to scrape property listings from REW.ca.	"newmarket-on"
maxLimit	integer	No	Maximum number of requests that can be made by this crawler. Default is 100.	100

Example Usage

To run the Rew Buy Scraper, provide input parameters in JSON format. Here's an example:

{
  "searchKeyword": "newmarket-on",
  "maxLimit": 100
}

This will scrape property listings matching the keyword "newmarket-on" with a maximum of 100 requests.

Example output in JSON format:

[
  {
    "url": "https://www.rew.ca/properties/604-250-davis-drive-newmarket-on",
    "price": "$614,900",
    "title": "604 - 250 Davis Drive",
    "neighborhood": "Central Newmarket",
    "city": "Newmarket",
    "beds": "3 bd",
    "baths": "2 ba",
    "size": "1400 - 1599 sf",
    "image": "https://assets-listings.rew.ca/listing/treb_dla/N12763794/00_N12763794_e02eaeb90f431032e2555cd4a69486ca.jpeg?auto=format&trim=auto&fit=crop&w=480&h=287&sharp=25",
    "scrapedFrom": "https://www.rew.ca/properties/areas/newmarket-on"
  }
]

Use Cases

• Market Research and Analysis: Gather data on property prices and trends in specific areas for informed decision-making.
• Competitive Intelligence: Monitor competitor listings and pricing strategies in the real estate market.
• Price Monitoring: Track price changes for specific properties or neighborhoods over time.
• Content Aggregation: Collect property data for websites, blogs, or real estate portals.
• Academic Research: Obtain datasets for studies on housing markets, urban development, or economic trends.
• Business Automation: Integrate scraped data into CRM systems or automated reporting tools for real estate agencies.

Installation and Usage

1. Search for "Rew Buy Scraper" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters (e.g., search keyword and max limit).
4. Click "Start" to begin extraction.
5. Monitor progress in the log.
6. Export results in your preferred format (JSON, CSV, Excel).

Output Format

The Actor outputs data as a JSON array of objects, where each object represents a scraped property listing. Key fields include:

• url: The direct link to the property listing on REW.ca.
• price: The listed price of the property (e.g., "$614,900").
• title: The property title or address (e.g., "604 - 250 Davis Drive").
• neighborhood: The neighborhood or area (e.g., "Central Newmarket").
• city: The city name (e.g., "Newmarket").
• beds: Number of bedrooms (e.g., "3 bd").
• baths: Number of bathrooms (e.g., "2 ba").
• size: Approximate size in square feet (e.g., "1400 - 1599 sf").
• image: URL to the property's main image.
• scrapedFrom: The source URL from which the data was scraped.

This structured format ensures easy parsing and integration into databases or analysis tools.

Support

For custom/simplified outputs or bug reports, please contact:

• Email: support@getdataforme.com
• Subject line: "custom support"
• Contact form: https://getdataforme.com/contact/

We're here to help you get the most out of this Actor!

---