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Hotel Data Scraper

This project is a robust web scraping solution built with Playwright and Python, designed to extract detailed hotel data from various hotel booking pages. The tool scrapes information such as hotel names, check-in/check-out dates, and prices, and exports the data into an Excel file. Additionally, it integrates seamlessly with Apify for storing the extracted data in a dataset for further processing.

Key Features

• Accurate Data Extraction: Scrapes hotel names, check-in/check-out dates, and prices for any provided hotel URL.
• Date Navigation: Automatically navigates between calendar months to extract data for the required period.
• Excel Export: Saves the extracted data to an Excel file for easy sharing and analysis.
• Apify Integration: Pushes the extracted data to an Apify dataset, enabling cloud-based storage and further processing.
• Error Handling and Retries: The scraper automatically retries failed attempts to ensure consistent data extraction.
• Price Formatting: Cleans and formats prices, removing unnecessary characters such as currency symbols.

Benefits for You

• Easy Data Access: Automatically extracts the data you need from multiple hotel booking pages.
• Time-Saving: Eliminates manual data collection, saving time and improving efficiency.
• Scalable: Can handle multiple hotel URLs in one run, ideal for large-scale data collection.
• Reliable: Includes retry mechanisms to handle network errors and page loading issues.
• Flexible: Can be easily customized to scrape additional data or integrate with other systems.

4. Configure Input Data:

   Provide a list of hotel URLs in the startUrls key of the input. Here's an example:

   {
   "startUrls":[
   "https://www.example.com/hotel1",
   "https://www.example.com/hotel2"
   ]
   }

5. Run the Scraper:

   Once the setup is complete, run the scraper The script will:

   • Extract data from each provided hotel URL.
   • Save the data to an Excel file (named with a timestamp for easy identification).
   • Push the data to the Apify dataset for cloud-based storage.

Output

• Excel File: The extracted data will be saved in an Excel file (hotel_data_<timestamp>.xlsx).
• Apify Dataset: All the extracted data will be pushed to your Apify dataset for further processing or storage.

Customization

• You can adjust the extract_dates_and_prices function to scrape additional information, such as amenities or room details.
• Modify the startUrls list to include any hotel URLs you wish to scrape.