📘🐍 Skoobpy

Gives you methods to extract the users' data from Skoob.

⚙️ Installation

You can install Skoobpy from PyPI:

pip install skoobpy

💻 How to Use

You can run it as a module in a command line as skoobpy followed by an user_id. It is going to generate a csv file named books_user_id.csv with all informations of user's desired books.

$ python skoobpy <user_id>

Alternatively, it is possible to import it.

import skoobpy
from skoobpy import *

The functions are:

• get_all_books(user_id) receives a user id and returns all the books in the bookshelves as a JSON object.
• The filter functions receive a JSON with a group of books and filter it according to the criteria in a list that contains the book title, author's name, book release year, number of pages, publisher, and the book URL in the skoob site.
  • filter_desired(books_json) returns the desired books.
  • filter_readed(books_json) returns the readed books.
  • filter_currently_reading(books_json) returns currently reading books.
• export_csv(books_list, file_name) exports a CSV file named as a given file name that contains the data in a list of books provided.

📑 Release History

• 0.1.0
  • First version - extract users' desired books in CSV file

⚖️ License

Distributed under the MIT license. See LICENSE for more information.

🚧🚀 Contributing

Feel free to contribute with anything.

In case of any doubt, see this.

To start with development, don't forget to install:

$ pip install -r requirements.txt