This Python script scrapes Yellow Pages listings based on a search category and location, and saves the results to a CSV file. It also converts the CSV file to an Excel file.

• Python 3.x
• requests library
• lxml library
• unicodecsv library
• pandas library

1. Clone the repository or download the web-scraper.py script.

2. Open a terminal or command prompt.

3. Navigate to the directory containing the script.

4. Run the following command:

   python web-scraper.py {Search Category} {Location of Search}

   Replace {Search Category} with your desired search category and {Location of Search} with the location where you want to search.

   Example:

   python web-scraper.py restaurants New York

• The scraped data will be saved to a CSV file named {Search Category}-{Location}-yellowpages-scraped-data.csv.

• An Excel file named {Search Category}-{Location}-yellowpages-scraped-data.xlsx will be created from the CSV file.

• This script uses the Yellow Pages website for scraping. Make sure to comply with their terms of service.

• If you encounter any issues, ensure you have installed the required libraries and have a stable internet connection.

Feel free to customize the README further to include any additional information or instructions specific to your use case.