Automatic Kobo and Kindle eBook Arbitrage

This post will show you how to programmatically get the cheapest possible price on eBooks from Kobo.

Background

Amazon have decided to stop letting customers download their purchased eBooks onto their computers. That means I can't strip the DRM and read on my non-Amazon eReader.

So I guess I'm not spending money with Amazon any more. I'm moving to Kobo for three main reasons:

1. They provide standard ePubs for download.
2. ePub DRM is trivial to remove.
3. Kobo will undercut Amazon's prices!

Here's the thing. I want to buy my eBooks. It is trivial to pirate almost any modern book. But, call me crazy, I like rewarding writers with a few pennies. That said, I'm not made of money, so I want to get the best (legal) deal possible.

Kobo do a price-match with other eBook retailers. It says:

We'll award a credit to your Kobo account equal to the price difference, plus 10% of the competitor’s price.

I found a book I wanted which was £4.99 on Kobo. The Amazon Kindle price was £4.31.

4.99 - ( (4.99 - 4.31) + (4.31 * 0.1) ) = 3.88

I purchased the book, sent a request for a price match, and got this email a few hours later:

OK! So what steps can we automate, and which will have to remain manual?

Amazon Pricing API

Amazon have a Product Advertising API. You will need to register for the Amazon Affiliate Program and make some qualifying sales before you get API access.

In order to search for an ISBN and get the price back, you need to send:

 JSON{

 "Keywords": "isbn:9781473613546",

 "Resources": ["Offers.Listings.Price"],

}

Using the updated Python API for PAAPI:

 Python 3from paapi5_python_sdk import DefaultApi, SearchItemsRequest, SearchItemsResource, PartnerType



def search_items():

    access_key = "ABC"

    secret_key = "123"

    partner_tag = "shkspr-21"

    host = "webservices.amazon.co.uk"

    region = "eu-west-1"



    api = DefaultApi(access_key=access_key, secret_key=secret_key, host=host, region=region)



    request = SearchItemsRequest(

        partner_tag=partner_tag,

        partner_type=PartnerType.ASSOCIATES,

        keywords="isbn:9781473613546",

        search_index="All",

        item_count=1,

        resources=["Offers.Listings.Price"]

    )



    response = api.search_items(request)



    print(response)



search_items()

(Add your own access key, secret key, and tag. You may need to change the host and region depending on where you are in the world.)

That returns something like:

 JSON{

    "search_result": {

        "items": [

            {

                "asin": "B09JLQHHXN",

                "detail_page_url": "https://www.amazon.co.uk/dp/B09JLQHHXN?tag=shkspr-21&linkCode=osi&th=1&psc=1",

                "offers": {

                    "listings": [

                        {

                            "price": {

                                "amount": 2.99,

                                "currency": "GBP",

                                "display_amount": "£2.99"

                            }

                        }

                    ]

                }

            }

        ]

    }

}

(I've truncated the above so it only shows the relevant information.)

Kobo ISBN & Price

Let's get the ISBN and Price of a book on Kobo. There's no easy API to do this. But, thankfully, Kobo embeds some Schema.org metadata.

Look at the source code for https://www.kobo.com/gb/en/ebook/venomous-lumpsucker-1

 HTML<div id="ratings-widget-details-wrapper" class="kobo-gizmo"

     data-kobo-gizmo="RatingAndReviewWidget"

     data-kobo-gizmo-config ='{"googleBook":"{\r\n  \"@context\": \"http://schema.org\",\r\n  \"@type\": \"Book\",\r\n  \"name\": \"Venomous Lumpsucker\",\r\n  \"genre\": [\r\n    \"Fiction \\u0026 Literature\",\r\n    \"Humorous\",\r\n    \"Literary\"\r\n  ],\r\n  \"inLanguage\": \"en\",\r\n  \"author\": {\r\n    \"@type\": \"Person\",\r\n    \"name\": \"Ned Beauman\"\r\n  },\r\n  \"workExample\": {\r\n    \"@type\": \"Book\",\r\n    \"author\": {\r\n      \"@type\": \"Person\",\r\n      \"name\": \"Ned Beauman\"\r\n    },\r\n    \"isbn\": \"9781473613546\" …'>

</div>

Getting the data from the data-kobo-gizmo-config is a little tricky.

• Using Python Requests won't work because Kobo seem to run a JS CAPTCHA to detect scraping.
• There is a Calibre-Web Kobo plugin but it requires you to have a physical Kobo eReader in order to get an API key.
• The Rakuten API is only for the Japanese store.

So we have to use the Selenium WebDriver to scrape the data:

 Python 3from selenium import webdriver

from bs4 import BeautifulSoup

import json



#   Open the web page

browser = webdriver.Firefox()

browser.get("https://www.kobo.com/gb/en/ebook/venomous-lumpsucker-1")



#   Get the source

html_source = browser.page_source



#   Soupify

soup = BeautifulSoup(html_source, 'html.parser')



#   Get the encoded JSON Schema

schema = soup.find_all(id="ratings-widget-details-wrapper")[0].get("data-kobo-gizmo-config")



#   Convert to object from JSON

parsed_data = json.loads(schema)



#   Decode the nested JSON strings

parsed_data["googleBook"] = json.loads(parsed_data["googleBook"])



#    Get ISBN and Price

price = parsed_data["googleBook"]["workExample"]["potentialAction"]["expectsAcceptanceOf"]["price"]

isbn  = parsed_data["googleBook"]["workExample"]["isbn"]

print(isbn)

print(price)

Kobo Wishlist

OK, nearly there! Given a Kobo book URl we can get the price and ISBN, then use that ISBN to get the Kindle price. But how do we get the Kobo book URl in the first place?

I'm adding all the books I want to my Kobo Wishlist.

Inside the Wishlist is a scrap of JavaScript which contains this JSON:

 JSON{

    "value": {

        "Items": [

            {

                "Title": "Venomous Lumpsucker",

                "Price": "£2.99",

                "ProductUrl": "/gb/en/ebook/venomous-lumpsucker-1",

            }

        ],

        "TotalItemCount": 11,

        "ItemCountByProductType": {

            "book": 11

        },

        "PageIndex": 1,

        "TotalNumPages": 1,

       }

}

(Simplified to make it easier to understand.)

Although there's a price, there's no ISBN, So you'll need to use the "ProductUrl" to get the ISBN and Price as above.

Sadly, unlike Amazon, there's no way to publicly share a wishlist. Getting the JSON requires logging in, so it's back to Selenium again!

This should be enough:

 Python 3from selenium import webdriver

from selenium.webdriver.common.by import By

from selenium.webdriver.common.keys import Keys

from bs4 import BeautifulSoup

import time



browser = webdriver.Firefox()

browser.get("https://www.kobo.com/gb/en/account/wishlist")



#       Log in

username_box = browser.find_element(By.NAME, "LogInModel.UserName")

username_box.clear()

username_box.send_keys('you@example.com')



password_box = browser.find_element(By.NAME, "LogInModel.Password")

password_box.clear()

password_box.send_keys('p455w0rd')



password_box.send_keys(Keys.RETURN)



time.sleep(5) # Wait for load and rendering

But the Kobo presents a CAPTCHA which prevents login.

There is an unofficial API which, sadly, doesn't seem to work at the moment.

Next Steps

For now, I'm saving specific Kobo book URls into a file and then running a scrape once per day. Hopefully, the unofficial Kobo API will be working again soon.