How can a one-column input CSV file be utilized as the input source for scraping webpages that may have subsequent pages?

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To utilize a one-column input CSV file as the input source for scraping webpages that may have subsequent pages, you can follow these steps:

1. Read the CSV file into a list, array, or dataframe in your programming language of choice.

2. Use a loop or iterator to iterate through each row/item in the list/array/dataframe.

3. For each row/item, use the data as a query parameter to search for the initial webpage to be scraped.

4. Scrape the data from the initial webpage and store it in a desired format such as a dataframe or CSV file.

5. Check if the webpage has subsequent pages using techniques such as inspecting the HTML or checking for specific elements.

6. If there are subsequent pages, extract the URL to the next page and repeat steps 4-6 until all desired data has been scraped.

7. Optional: Implement error handling and logging to catch any errors or anomalies in the scraping process.

8. Save the scraped data to a desired format such as a CSV or database.