Official API for https://www.kaggle.com, accessible using a command line tool implemented in Python.
Beta release - Kaggle reserves the right to modify the API functionality currently offered.
Ensure you have Python and the package manager pip installed.
Run the following command to access the Kaggle API using the command line:
pip install kaggle (You may need to do pip install --user kaggle on Mac/Linux. This is recommended if problems come up during the installation process.)
You can now use the kaggle command as shown in the examples below.
If you run into a kaggle: command not found error, ensure that your python binaries are on your path. You can see where kaggle is installed by doing pip uninstall kaggle and seeing where the binary is. For a local user install on Linux, the default location is ~/.local/bin. On Windows, the default location is $PYTHON_HOME/Scripts.
To use the Kaggle API, sign up for a Kaggle account at https://www.kaggle.com. Then go to the 'Account' tab of your user profile (https://www.kaggle.com/<username>/account) and select 'Create API Token'. This will trigger the download of kaggle.json, a file containing your API credentials. Place this file in the location ~/.kaggle/kaggle.json (on Windows in the location C:\Users\<Windows-username>\.kaggle\kaggle.json). You can define a shell environment variable KAGGLE_CONFIG_DIR to change this location to $KAGGLE_CONFIG_DIR/kaggle.json (on Windows it will be %KAGGLE_CONFIG_DIR%\kaggle.json).
For your security, ensure that other users of your computer do not have read access to your credentials. On Unix-based systems you can do this with the following command:
chmod 600 ~/.kaggle/kaggle.json
The command line tool supports the following commands:
kaggle competitions {list,files,download,submit,submissions,leaderboard}
kaggle datasets {list, files, download, create, version, init}
kaggle config {view, set, unset}
See more details below for using each of these commands.
The API supports the following commands for Kaggle Competitions.
usage: kaggle competitions list [-h] [-p PAGE] [-s SEARCH] [-v]
optional arguments:
-h, --help show this help message and exit
-p PAGE, --page PAGE page number
-s SEARCH, --search SEARCH
term(s) to search for
-v, --csv print in CSV format
(if not set print in table format)
Example:
kaggle competitions list -s health
usage: kaggle competitions files [-h] [-c COMPETITION] [-v] [-q]
optional arguments:
-h, --help show this help message and exit
-c COMPETITION, --competition COMPETITION
Competition URL suffix (use "kaggle competitions list" to show options)
If empty, the default competition will be used (use "kaggle config set competition")"
-v, --csv Print results in CSV format (if not set print in table format)
-q, --quiet Suppress printing information about download progress
Example:
kaggle competitions files -c favorita-grocery-sales-forecasting
usage: kaggle competitions download [-h] [-c COMPETITION] [-f FILE] [-p PATH]
[-w] [-o] [-q]
optional arguments:
-h, --help show this help message and exit
-c COMPETITION, --competition COMPETITION
Competition URL suffix (use "kaggle competitions list" to show options)
If empty, the default competition will be used (use "kaggle config set competition")"
-f FILE, --file FILE File name, all files downloaded if not provided
(use "kaggle competitions files -c <competition>" to show options)
-p PATH, --path PATH Folder where file(s) will be downloaded, defaults to ~/.kaggle
-w, --wp Download files to current working path
-o, --force Skip check whether local version of file is up to date, force file download
-q, --quiet Suppress printing information about download progress
Examples:
kaggle competitions download -c favorita-grocery-sales-forecasting
kaggle competitions download -c favorita-grocery-sales-forecasting -f test.csv.7z
Note: you will need to accept competition rules at https://www.kaggle.com/c/<competition-name>/rules.
usage: kaggle competitions submit [-h] [-c COMPETITION] -f FILE -m MESSAGE
[-q]
required arguments:
-f FILE, --file FILE File for upload (full path)
-m MESSAGE, --message MESSAGE
Message describing this submission
optional arguments:
-h, --help show this help message and exit
-c COMPETITION, --competition COMPETITION
Competition URL suffix (use "kaggle competitions list" to show options)
If empty, the default competition will be used (use "kaggle config set competition")"
-q, --quiet Suppress printing information about download progress
Example:
kaggle competitions submit -c favorita-grocery-sales-forecasting -f sample_submission_favorita.csv.7z -m "My submission message"
Note: you will need to accept competition rules at https://www.kaggle.com/c/<competition-name>/rules.
usage: kaggle competitions submissions [-h] [-c COMPETITION] [-v] [-q]
optional arguments:
-h, --help show this help message and exit
-c COMPETITION, --competition COMPETITION
Competition URL suffix (use "kaggle competitions list" to show options)
If empty, the default competition will be used (use "kaggle config set competition")"
-v, --csv Print results in CSV format (if not set print in table format)
-q, --quiet Suppress printing information about download progress
Example:
kaggle competitions submissions -c favorita-grocery-sales-forecasting
Note: you will need to accept competition rules at https://www.kaggle.com/c/<competition-name>/rules.
usage: kaggle competitions leaderboard [-h] [-c COMPETITION] [-s] [-d]
[-p PATH] [-q]
optional arguments:
-h, --help show this help message and exit
-c COMPETITION, --competition COMPETITION
Competition URL suffix (use "kaggle competitions list" to show options)
If empty, the default competition will be used (use "kaggle config set competition")"
-s, --show Show the top of the leaderboard
-d, --download Download entire leaderboard
-p PATH, --path PATH Folder where file(s) will be downloaded, defaults to ~/.kaggle
-q, --quiet Suppress printing information about download progress
Example:
kaggle competitions leaderboard -c favorita-grocery-sales-forecasting -s
The API supports the following commands for Kaggle Datasets.
usage: kaggle datasets list [-h] [-p PAGE] [-s SEARCH] [-v]
optional arguments:
-h, --help show this help message and exit
-p PAGE, --page PAGE Page number for results paging
-s SEARCH, --search SEARCH
Term(s) to search for
-v, --csv Print results in CSV format (if not set print in table format)
Example:
kaggle datasets list -s demographics
usage: kaggle datasets files [-h] -d DATASET [-v]
required arguments:
-d DATASET, --dataset DATASET
Dataset URL suffix in format <owner>/<dataset-name> (use "kaggle datasets list" to show options)
optional arguments:
-h, --help show this help message and exit
-v, --csv Print results in CSV format (if not set print in table format)
Example:
kaggle datasets files -d zillow/zecon
usage: kaggle datasets download [-h] -d DATASET [-f FILE] [-p PATH] [-w] [-o]
[-q]
required arguments:
-d DATASET, --dataset DATASET
Dataset URL suffix in format <owner>/<dataset-name> (use "kaggle datasets list" to show options)
optional arguments:
-h, --help show this help message and exit
-f FILE, --file FILE File name, all files downloaded if not provided
(use "kaggle datasets files -d <dataset>" to show options)
-p PATH, --path PATH Folder where file(s) will be downloaded, defaults to ~/.kaggle
-w, --wp Download files to current working path
-o, --force Skip check whether local version of file is up to date, force file download
-q, --quiet Suppress printing information about download progress
Examples:
kaggle datasets download -d zillow/zecon
kaggle datasets download -d zillow/zecon -f State_time_series.csv
usage: kaggle datasets init [-h] -p FOLDER
required arguments:
-p FOLDER, --path FOLDER
Folder for upload, containing data files and a special metadata.json file (https://github.com/Kaggle/kaggle-api/wiki/Metadata)
optional arguments:
-h, --help show this help message and exit
Example:
kaggle datasets init -p /path/to/dataset
usage: kaggle datasets create [-h] -p FOLDER [-u] [-q]
required arguments:
-p FOLDER, --path FOLDER
Folder for upload, containing data files and a special metadata.json file (https://github.com/Kaggle/kaggle-api/wiki/Metadata)
optional arguments:
-h, --help show this help message and exit
-u, --public Create the Dataset publicly (default is private)
-q, --quiet Suppress printing information about download progress
-t, --keep-tabular Do not convert tabular files to CSV (default is to convert)
Example:
kaggle datasets create -p /path/to/dataset
usage: kaggle datasets version [-h] -m VERSION_NOTES -p FOLDER [-q]
required arguments:
-m VERSION_NOTES, --message VERSION_NOTES
Message describing the new version
-p FOLDER, --path FOLDER
Folder for upload, containing data files and a special metadata.json file (https://github.com/Kaggle/kaggle-api/wiki/Metadata)
optional arguments:
-h, --help show this help message and exit
-q, --quiet Suppress printing information about download progress
-t, --keep-tabular Do not convert tabular files to CSV (default is to convert)
-d, --delete-old-versions
Delete old versions of this dataset
Example:
kaggle datasets version -p /path/to/dataset -m "Updated data"
usage: kaggle config path [-h] [-p PATH]
optional arguments:
-h, --help show this help message and exit
-p PATH, --path PATH folder where file(s) will be downloaded, defaults to ~/.kaggle
Example:
kaggle config path -p C:\
usage: kaggle config view [-h]
optional arguments:
-h, --help show this help message and exit
Example:
kaggle config view
usage: kaggle config set [-h] -n NAME -v VALUE
required arguments:
-n NAME, --name NAME Name of the configuration parameter
(one of competition, path, proxy)
-v VALUE, --value VALUE
Value of the configuration parameter, valid values depending on name
- competition: Competition URL suffix (use "kaggle competitions list" to show options)
- path: Folder where file(s) will be downloaded, defaults to ~/.kaggle
- proxy: Proxy for HTTP requests
Example:
kaggle config set -n competition -v titanic
usage: kaggle config unset [-h] -n NAME
required arguments:
-n NAME, --name NAME Name of the configuration parameter
(one of competition, path, proxy)
Example:
kaggle config unset -n competition
The biggest limitation at the moment is that kernels are not supported in any way at this point. We do intend to implement support in the near future, though there's no ETA. Additionally, working with large datasets (>= 2GB) is currently not possible.
The Kaggle API is released under the Apache 2.0 license.