https://github.com/mgproduction/kindlemostwanted
a minimal Python script to automatically check price bids for a personal list of Kindle e-books
https://github.com/mgproduction/kindlemostwanted
Last synced: about 1 year ago
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a minimal Python script to automatically check price bids for a personal list of Kindle e-books
- Host: GitHub
- URL: https://github.com/mgproduction/kindlemostwanted
- Owner: MGProduction
- License: unlicense
- Created: 2025-07-01T19:57:32.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-07-01T22:07:16.000Z (about 1 year ago)
- Last Synced: 2025-07-01T23:20:58.915Z (about 1 year ago)
- Language: Python
- Size: 509 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# KindleMostWanted
a minimal Python script to automatically check price bids for a personal list of Kindle e-books
## Read a CSV, get prices, write a report...
...a really simple tool, to customize and run daily to be sure never to miss the minimum price for an e-book you want to buy, when you don't mind waiting.
The input wanted book list is just a CSV with Author, Title, and URL
```
Author,Title,URL
Beaton M.C.,Agatha Raisin e la giardiniera invasata,https://www.amazon.it/gp/product/B008O620JG
Beaton M.C.,Agatha Raisin e i Camminatori di Dembley,https://www.amazon.it/gp/product/B008DYJW2M
```
Once the program processes it you'll get a secondary CSV with previous price, current price, and a time stamp
```
Author,Book,URL,Previous Price,Current Price,Last Checked
Beaton M.C.,Agatha Raisin e la giardiniera invasata,https://www.amazon.it/gp/product/B008O620JG,"8,99 €","8,99 €",2025-07-01 21:33:22.900384
Beaton M.C.,Agatha Raisin e i Camminatori di Dembley,https://www.amazon.it/gp/product/B008DYJW2M,"3,99 €","3,99 €",2025-07-01 21:33:25.813621
```
and a HTML report - with color alerts and active links.
## Usage
**kmw.py** (try to read and process csv/books.csv)
or
**kmw.py** (process your specific csv file)
## Dependencies
**playwright** for page rendering and scraping
**pandas** for CSV handling
**plyer** for minimal notifications