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Kaggle API

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.

Installation

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.

API credentials

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

Commands

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.

Competitions

The API supports the following commands for Kaggle Competitions.

List 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

List competition files
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

Download competition files
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.

Submit to a competition
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.

List competition submissions
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.

Get competition leaderboard
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

Datasets

The API supports the following commands for Kaggle Datasets.

List 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

List files for a dataset
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

Download dataset files
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

Initialize metadata file for dataset creation
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

Create a new 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

Create a new dataset version
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"

Config

View current config values
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:\

View current config values
usage: kaggle config view [-h]

optional arguments:
  -h, --help  show this help message and exit

Example:

kaggle config view

Set a configuration value
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

Clear a configuration value
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

Limitations

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.

License

The Kaggle API is released under the Apache 2.0 license.

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