Tsundoku NPM | npm.io

Tsundoku

A tool that outputs the books in your Goodreads To Read list (to a limit of 400) in a csv file, along with their Amazon prices for different formats.

Why does this exist

Because when I want a new book I spend too long manually browsing Amazon to find which of the books I want to read is currently cheapest

Requirements

Goodreads User ID - the 8 digit number in your Goodreads profile URL
Goodreads API key
Amazon cookie value - visit amazon.co.uk, and copy the request cookie value from the Chrome dev tools network tab (you will need to reload the page if you didn't already have it open). Copying the cookie from a browser while in incognito / private mode is ideal as the cookie is shorter and less prone to be incorrectly parsed by bash.

Usage

Setting config values

The first time you use the tool you will need to pass in your Good Reads API key, your Good Reads user ID, and a value for an Amazon cookie using the setConfig command. These will be stored so you won't need to provide them again. You can use the setConfig command at any time to update any of these values.

$ npx tsundoku setConfig --goodReadsId=<your_id> --goodReadsKey=<your_key> --cookie=<cookie_value>

Note: wrap the cookie value in single quotes (') when you pass it into the cookie command - this will stop bash expanding any of the = in the cookie into variables which would cause the script to error

Running the tool

Once you've set the config values you can run Tsundoku to output your price list csv file using the run command:

$ npx tsundoku run

The output is a csv file in the module root - the name of the file will be logged to your terminal and you should be able to open it by doing command + click on the filename (on Mac) or control + click on the filename (on Windows)

Troubleshooting

If you're seeing an error during the price scraping step it may be for a couple of reasons:

Your cookie is out of date. As far as I can tell Amazon don't have timestamps on these cookies, but if you have been using the same one for a long time (months and months) Amazon may block the requests. You can manually update your cookie value in config.js
Your Goodreads 'To Read' list is too long. The longest list I've tested this with is about 130 books. When Amazon receives too many requests in a short time it eventually blocks them. Rate limiting is in place in the tool to stop this from happening and works with the lists I've tried, but if you have hundreds and hundreds of books in your list you might need pass in a subset (you will need to manually edit the code for this).

Development

To run locally:

Clone the Tsundoku repo to your machine
Do npm install
Set config with ./bin/tsundoku.js setConfig --goodReadsId=<your_id> --goodReadsKey=<your_key> --cookie=<cookie_value>
Run with ./bin/tsundoku.js run
The tool will retrieve your goodReads list from the goodReads API, then scrape Amazon for the prices of those books. Both of those things take time, but you can watch the progress via the logs in your console. Once the tool has prices for all your 'To Read' list it will output them to the root of the project folder, to a csv file with the name format [unix-timestamp].output.csv

There are a set of test values that you can play around with in ./server/test:

good-reads-api-output is a mocked set of returned and formatted results from the Good Reads API, use this to save yourself having to hit the Good Reads API every time you want to run Tsundoku during development. These values have already been imported into index.js in the relevant place as goodReadsTestResponse - to use them just comment out the line using production values and uncomment the line that uses the test values.
book-objects-for-export is a mocked set of returned and formatted results from the Amazon price scrape, use this to save yourself having to scrape prices from Amazon every time you want to run Tsundoku during development. These values have already been imported into index.js in the relevant place as testBookDetailsWithPrices - to use them just comment out the line using production values and uncomment the line that uses the test values.