Bazaraki.com Scraper

An Apify actor for scraping classified listings from bazaraki.com with category selection and Excel export.

Important

For a big amount of results, notice to put 0 in the timeout, under : input->run options-> 0

Features

• Category Selection: Choose from predefined categories (Real Estate, Vehicles, Jobs, Services, Electronics, etc.)
• Record Limit: Specify the maximum number of ads to scrape
• Excel Export: Automatically exports all scraped data to an Excel file
• Comprehensive Data Extraction: Extracts all listing details including:
  • Title
  • Price
  • Description
  • Location
  • Category
  • Images (as semicolon-separated URLs)
  • Contact information (phone, email)
  • Attributes/metadata (flattened into columns)
  • Posted date
  • Scraped timestamp
• Smart Pagination: Automatically follows pagination until the record limit is reached
• Rate Limiting: Respects the website with delays between requests

Input Parameters

The actor accepts the following input parameters:

• category (required): Select the category to scrape from bazaraki.com

  • Options: All Categories, Real Estate, Vehicles, Jobs, Services, Electronics, Home & Garden, Fashion, Sports & Hobbies, Pets, Other
  • Default: "all"

• maxRecords (required): Maximum number of ads to scrape

  • Type: Integer
  • Range: 1-10000
  • Default: 100

Output

The actor outputs:

1. Dataset: All scraped listings are saved to the Apify dataset
2. Excel File: An Excel file (.xlsx) is automatically generated and saved to the Key-Value Store with the filename format: bazaraki_{category}_{date}.xlsx

Excel File Structure

Each row in the Excel file contains:

• url: Full URL of the listing
• title: Listing title
• price: Price (numeric)
• description: Full description
• location: Location information
• category: Category name
• images: Semicolon-separated list of image URLs
• phone: Contact phone number
• email: Contact email address
• postedDate: Date when the ad was posted
• scrapedAt: Timestamp when the data was scraped
• attr_*: Additional attributes as separate columns (flattened from metadata)

Local Development

1. Install dependencies:

$npm install

2. (Optional) Update categories in input schema:

$npm run update-categories

This fetches the latest categories from bazaraki.com and updates the input schema dropdown.

3. Run the actor locally:

$npm start

Or with Apify CLI:

$apify run

Deployment to Apify

1. Make sure you have the Apify CLI installed:

$npm install -g apify-cli

2. Login to Apify:

$apify login

3. Push the actor to Apify:

$apify push

Usage Example

Input JSON:

{
  "category": "real-estate",
  "maxRecords": 500
}

Using Apify Platform:

1. Select the category from the dropdown (e.g., "Real Estate")
2. Enter the maximum number of records (e.g., 500)
3. Run the actor
4. Download the Excel file from the Key-Value Store after completion

Notes

• The scraper includes delays between requests to be respectful to the website
• Make sure to comply with bazaraki.com's robots.txt and terms of service
• The scraper uses Cheerio for HTML parsing, which is fast and efficient
• Images are exported as semicolon-separated URLs in a single column
• Contact information and attributes are extracted using multiple selector strategies to handle different page layouts
• The scraper automatically stops when the maximum number of records is reached
• For large scrapes (1000+ records): The default timeout is 2 hours (7200 seconds). If you need to scrape more records, you may need to increase the timeout in the Apify platform settings when running the actor

License

ISC