Nestaway.com Property Scraper

This Apify actor scrapes property listings from Nestaway.com, an Indian rental property platform.

Features

• Scrapes property listings with detailed information
• Handles pagination automatically
• Configurable maximum results
• Proxy support for reliable scraping
• Retry logic for failed requests
• Immediate dataset push for each result

Input

The actor accepts the following input parameters:

{
  "startUrls": [
    {
      "url": "https://www.nestaway.com/bangalore/properties-in-bangalore"
    }
  ],
  "maxResults": 100,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}

Input Parameters

• startUrls (required): Array of URL objects to start scraping from

  • Each object should have a url property
  • Default: Bangalore properties page

• maxResults (optional): Maximum number of properties to scrape

  • Default: 100
  • Minimum: 1

• proxyConfiguration (optional): Proxy settings for the scraper

  • Use Apify proxy by setting useApifyProxy: true
  • Recommended for reliable scraping

Output

The actor outputs the following fields for each property:

{
  "title": "3 BHK Apartment in Koramangala",
  "price": "₹44250",
  "location": "Koramangala, Bangalore",
  "propertyType": "3 BHK",
  "furnishing": "Fully Furnished",
  "url": "https://www.nestaway.com/property-detail/...",
  "scrapedAt": "2024-01-15T10:30:45.123Z"
}

Output Fields

• title: Property title/name
• price: Monthly rent price (in ₹)
• location: Area/locality of the property
• propertyType: Type of property (1BHK, 2BHK, 3BHK, etc.)
• furnishing: Furnishing status (Furnished, Semi Furnished, Unfurnished)
• url: Direct URL to the property listing
• scrapedAt: ISO 8601 timestamp of when the data was scraped

Note: Some fields may be null if the information is not available on the page.

Technical Details

• Base Image: apify/actor-python:3.11
• HTTP Client: httpx for async requests
• HTML Parser: BeautifulSoup4 with lxml
• Retry Logic: 3 attempts with exponential backoff
• Logging: Progress logged every 10 results

Usage

On Apify Platform

1. Create a new actor on Apify
2. Copy all files to your actor
3. Build the actor
4. Run with your desired input

Local Development

1. Install dependencies:

   $pip install -r requirements.txt
   

2. Set up Apify token:

   $export APIFY_TOKEN=your_token_here
   

3. Run the actor:

   $python -m src
   

Error Handling

• Failed requests are retried up to 3 times with exponential backoff
• Missing data fields are set to null instead of crashing
• All errors are logged for debugging

Best Practices

• Use proxy configuration for production runs
• Start with a lower maxResults value for testing
• Monitor the run logs for any issues
• Check dataset preview during the run

License

This actor is provided as-is for educational and legitimate business purposes. Always respect the website's terms of service and robots.txt.