Python scraper for book information from Amazon category pages

Hi. As a researcher who is doing analysis of certain categories of books on the Amazon US website, I am looking for a tool that enables me to quickly and easily capture the data from an Amazon search query (see example below) and extract the data into a CSV (or similar output) for easy analysis. I am looking for two outputs: (1) The python code for a scraper for the Amazon US website to capture information related to books on search result pages. An example of such a page is [login to view URL] The results should be provided in a CSV or similar file output and include the below fields for a customizable number of results (e.g. first 50, 100, 500, etc.). For each result on the amazon search page, the output should include the following data output as a row with the column headers below captured from the book details page for each result: * Title * Publish Date * Author Name * Link to Amazon Author Page * Star Rating * Number of Ratings * Goodread rating (if available on page) * Availability on and price for hardcover, paperback, kindle, audible * Whether available on Kindle Unlimited * Description * Length * Reading Age (if available) * Part of series (if available) * Grade Level (if available) * Editorial Reviews (if available) * About Author (if available) * ASIN * Publisher * ISBN-10 * ISBN-13 (if available) * Best Seller Rank and categories (all available) * Distribution of customer reviews (% 5 star, % 4 star, % 3 star, % 2 star, % 1 star) This can be demonstrated by my running the python code locally and extracting the data needed from the example search above. (2) Providing the code to host a simple website that runs the python code and allows me to change the target URL (Amazon search result) for the scraper by pasting it into a field on the page and returns the CSV with the data for that target URL. This can be demonstrated by my accessing a website page that performs as requested.