Download Dataset from Kaggle using API and Python

Kaggle allows to download various public datasets. Each dataset has an identifier which consists of owner and dataset name. Let's say you want to download the Iris dataset. This dataset is provided by UCI Machine Learning at uciml/iris. Each dataset can have various files. For example, uciml/iris dataset is provided in CSV format (Iris.csv) and in SQLite database file format (database.sqlite).

Kaggle API client provides the dataset_download_files method which allows to download all files in ZIP format for a dataset. Also, there is the dataset_download_file method which can be used to download a specific file for a dataset. Both methods accept dataset identifier and directory path where to save a file.

import os

os.environ['KAGGLE_USERNAME'] = 'YOUR_USERNAME'
os.environ['KAGGLE_KEY'] = 'YOUR_KEY'

from kaggle.api.kaggle_api_extended import KaggleApi

dataset = 'uciml/iris'
path = 'datasets/iris'

api = KaggleApi()
api.authenticate()

api.dataset_download_files(dataset, path)

api.dataset_download_file(dataset, 'Iris.csv', path)
api.dataset_download_file(dataset, 'database.sqlite', path)

dataset_download_files parameters:

dataset_download_file parameters: