This program takes a list of books, and tries to find libraries where you could immediately check them out. It knows how to interpret Overdrive/Libby, Hoopla as surfaced by the Minuteman Library Network, the Internet Archive's Open Library, and Project Gutenberg.
To start with, get Goodreads data by using Export button at https://www.goodreads.com/review/import
This produces a CSV with the following headers:
Book Id, Title, Author, Author l-f, Additional Authors, ISBN, ISBN13, My Rating, Average Rating, Publisher, Binding, Number of Pages, Year Published, Original Publication Year, Date Read, Date Added, Bookshelves, Bookshelves with positions, Exclusive Shelf, My Review, Spoiler, Private Notes, Read Count, Recommended For, Recommended By, Owned Copies, Original Purchase Date, Original Purchase Location, Condition, Condition Description, BCID
You can use this, or input a CSV with the columns Title and Author.
simple.csv contains an example.
My Overdrive/Libby libraries are the Minuteman Library Network and the Boston
Public Library. This is implemented in the OVERDRIVE_SUBDOMAINS variable in
library.py.
Title normalization is a huge problem. Gutenberg didn't pick up Blazing World because Goodreads called it "The Blazing World" while Gutenberg calls it "The Description of a New World, Called the Blazing-World". A little fuzzy matching exists, and more is needed.
Because of the multiple Web requests per book, it seems to take 1-10 seconds per line in the CSV, most of the time. An interesting upgrade would be to parallelize the lookups.
Another improvement would be to read from Hoopla more directly, instead of going through MLN's catalog.
See CONTRIBUTING.md for details.
Apache 2.0; see LICENSE for details.
This project is not an official Google project. It is not supported by Google and Google specifically disclaims all warranties as to its quality, merchantability, or fitness for a particular purpose.
This is also not officially supported by or otherwise affiliated with Overdrive, Hoopla, the Internet Archive, or Project Gutenberg.