======NEW RELEASE TO BE AVAILABLE SOON ON PyPI=====
This project is no longer maintained.
This package provides a Python interface for the Goodreads API. Using it, you can do pretty much anything that Goodreads allows to do with their own data.
This package depends on the following packages:
- xmltodict
- requests
- rauth
They can be installed using pip
.
sudo pip install -r requirements.txt
If you want to contribute to this package, you will need the nose
package as well.
To install, run the following command from the top-level package directory.
sudo python setup.py install
The first thing is to request an API key from Goodreads here. Once you have it, you can create a client instance to query Goodreads.
from goodreads import client
gc = client.GoodreadsClient(<api_key>, <api_secret>)
To access some of the methods, you need OAuth for authorization.
gc.authenticate(<access_token>, <access_token_secret>)
Note that access_token
and access_token_secret
are different
from developer key and secret. For the development step, you can call
the same function with no parameters to get authorization. It will open
a URL pointing a Goodreads page for OAuth permission. For your
application, you can direct the user to that particular URL, ask him/her
to authorize your app and save the returning access_token
and
access_token_secret
in your database.
This package provides a Python interface for most Goodreads API methods. Here are a few examples demonstrating how to access data on Goodreads.
Let's access the first book added to Goodreads! It is the book with id 1.
book = gc.book(1)
Once you have the GoodreadsBook
instance for the book, you can
access data for the queried book.
>>> book.title
u'Harry Potter and the Half-Blood Prince (Harry Potter, #6)'
>>> authors = book.authors
>>> authors[0].name
u'J.K. Rowling'
>>> book.average_rating
u'4.49'
You can get information about an author as well.
>>> author = gc.author(2617)
>>> author.name
u'Jonathan Safran Foer'
>>> author.works_count
u'13'
>>> author.books
[Extremely Loud and Incredibly Close, Everything Is Illuminated, Eating Animals, Tree of Codes, Everything is Illuminated & Extremely Loud and Incredibly Close, The unabridged pocketbook of lightning, The Future Dictionary of America, A Convergence of Birds: Original Fiction and Poetry Inspired by Joseph Cornell, New American Haggadah, The Sixth Borough]
User data can be retrieved by user id or username.
>>> user = gc.user(1)
>>> user.name
u'Otis Chandler'
>>> user.user_name
u'otis'
>>> user.small_image_url
u'http://d.gr-assets.com/users/1189644957p2/1.jpg'
Let's find a group discussing Python and get more information about it.
>>> g = gc.find_groups("Python")
>>> g = groups[0]
>>> g['title']
u'The Computer Scientists'
>>> group = gc.group(g['id'])
>>> group.description
u'Only for Committed Self Learners and Computer Scientists Who are Starving for
Information, and Want to Advance their Skills Through: Reading, Practicing and
Discussion Computer Science and Programming Books.'
Goodreads API also allows to list events happening in an area.
>>> events = gc.list_events(21229)
>>> event = events[0]
>>> event.title
u'Books and Cocktails'
>>> event.address
u'120 N. Front St.'
>>> event.city
u'Wrightsville'
Read more about this package here.
If you find an API method that is not supported by this package, feel free to create a Github issue. Also, you are more than welcome to submit a pull request for a bug fix or additional feature.
Thanks to Paul Shannon for providing 'goodreads' package at PyPI.