Official API for https://www.kaggle.com, accessible using a command line tool implemented in Python 3.
Beta release - Kaggle reserves the right to modify the API functionality currently offered.
IMPORTANT: Competitions submissions using an API version prior to 1.5.0 may not work. If you are encountering difficulties with submitting to competitions, please check your version with kaggle --version. If it is below 1.5.0, please update with pip install kaggle --upgrade.
Ensure you have Python 3 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.) Installations done through the root user (i.e. sudo pip install kaggle) will not work correctly unless you understand what you're doing. Even then, they still might not work. User installs are strongly recommended in the case of permissions errors.
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.
IMPORTANT: We do not offer Python 2 support. Please ensure that you are using Python 3 before reporting any issues.
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 check the exact location, sans drive, with echo %HOMEPATH%). 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
You can also choose to export your Kaggle username and token to the environment:
export KAGGLE_USERNAME=datadinosaur
export KAGGLE_KEY=xxxxxxxxxxxxxxIn addition, you can export any other configuration value that normally would be in
the $HOME/.kaggle/kaggle.json in the format 'KAGGLE_' (note uppercase).
For example, if the file had the variable "proxy" you would export KAGGLE_PROXY
and it would be discovered by the client.
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 kernels {list, init, push, pull, output, status}
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 [-h]
{list,files,download,submit,submissions,leaderboard}
...
optional arguments:
-h, --help show this help message and exit
commands:
{list,files,download,submit,submissions,leaderboard}
list List available competitions
files List competition files
download Download competition files
submit Make a new competition submission
submissions Show your competition submissions
leaderboard Get competition leaderboard information
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] [-v] [-q] [competition]
optional arguments:
-h, --help show this help message and exit
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 the upload/download progress
Example:
kaggle competitions files favorita-grocery-sales-forecasting
usage: kaggle competitions download [-h] [-f FILE_NAME] [-p PATH] [-w] [-o]
[-q]
[competition]
optional arguments:
-h, --help show this help message and exit
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_NAME, --file FILE_NAME
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 current working directory
-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 the upload/download progress
Examples:
kaggle competitions download favorita-grocery-sales-forecasting
kaggle competitions download 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] -f FILE_NAME -m MESSAGE [-q]
[competition]
required arguments:
-f FILE_NAME, --file FILE_NAME
File for upload (full path)
-m MESSAGE, --message MESSAGE
Message describing this submission
optional arguments:
-h, --help show this help message and exit
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 the upload/download progress
Example:
kaggle competitions submit 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] [-v] [-q] [competition]
optional arguments:
-h, --help show this help message and exit
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 the upload/download progress
Example:
kaggle competitions submissions 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] [-s] [-d] [-p PATH] [-v] [-q]
[competition]
optional arguments:
-h, --help show this help message and exit
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 current working directory
-v, --csv Print results in CSV format (if not set print in table format)
-q, --quiet Suppress printing information about the upload/download progress
Example:
kaggle competitions leaderboard favorita-grocery-sales-forecasting -s
The API supports the following commands for Kaggle Datasets.
usage: kaggle datasets [-h]
{list,files,download,create,version,init,metadata} ...
optional arguments:
-h, --help show this help message and exit
commands:
{list,files,download,create,version,init,metadata}
list List available datasets
files List dataset files
download Download dataset files
create Create a new dataset
version Create a new dataset version
init Initialize metadata file for dataset creation
metadata Download metadata about a dataset
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] [-v] [dataset]
optional arguments:
-h, --help show this help message and exit
dataset Dataset URL suffix in format <owner>/<dataset-name> (use "kaggle datasets list" to show options)
-v, --csv Print results in CSV format (if not set print in table format)
Example:
kaggle datasets files zillow/zecon
usage: kaggle datasets download [-h] [-f FILE_NAME] [-p PATH] [-w] [--unzip]
[-o] [-q]
[dataset]
optional arguments:
-h, --help show this help message and exit
dataset Dataset URL suffix in format <owner>/<dataset-name> (use "kaggle datasets list" to show options)
-f FILE_NAME, --file FILE_NAME
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 current working directory
-w, --wp Download files to current working path
--unzip Unzip the downloaded file. Will delete the zip file when completed.
-o, --force Skip check whether local version of file is up to date, force file download
-q, --quiet Suppress printing information about the upload/download progress
Examples:
kaggle datasets download zillow/zecon
kaggle datasets download zillow/zecon -f State_time_series.csv
Please note that BigQuery datasets cannot be downloaded.
usage: kaggle datasets init [-h] [-p FOLDER]
optional arguments:
-h, --help show this help message and exit
-p FOLDER, --path FOLDER
Folder for upload, containing data files and a special dataset-metadata.json file (https://github.com/Kaggle/kaggle-api/wiki/Dataset-Metadata). Defaults to current working directory
Example:
kaggle datasets init -p /path/to/dataset
If you want to create a new dataset, you need to initiate metadata file at first. You could fulfill this by running kaggle datasets init as describe above.
usage: kaggle datasets create [-h] [-p FOLDER] [-u] [-q] [-t]
optional arguments:
-h, --help show this help message and exit
-p FOLDER, --path FOLDER
Folder for upload, containing data files and a special dataset-metadata.json file (https://github.com/Kaggle/kaggle-api/wiki/Dataset-Metadata). Defaults to current working directory
-u, --public Create publicly (default is private)
-q, --quiet Suppress printing information about the upload/download progress
-t, --keep-tabular Do not convert tabular files to CSV (default is to convert)
-r {skip,zip,tar}, --dir-mode {skip,zip,tar}
What to do with directories: "skip" - ignore; "zip" - compressed upload; "tar" - uncompressed upload
Example:
kaggle datasets create -p /path/to/dataset
usage: kaggle datasets version [-h] -m VERSION_NOTES [-p FOLDER] [-q] [-t]
[-d]
required arguments:
-m VERSION_NOTES, --message VERSION_NOTES
Message describing the new version
optional arguments:
-h, --help show this help message and exit
-p FOLDER, --path FOLDER
Folder for upload, containing data files and a special dataset-metadata.json file (https://github.com/Kaggle/kaggle-api/wiki/Dataset-Metadata). Defaults to current working directory
-q, --quiet Suppress printing information about the upload/download progress
-t, --keep-tabular Do not convert tabular files to CSV (default is to convert)
-r {skip,zip,tar}, --dir-mode {skip,zip,tar}
What to do with directories: "skip" - ignore; "zip" - compressed upload; "tar" - uncompressed upload
-d, --delete-old-versions
Delete old versions of this dataset
Example:
kaggle datasets version -p /path/to/dataset -m "Updated data"
usage: kaggle datasets metadata [-h] [-p PATH] [dataset]
optional arguments:
-h, --help show this help message and exit
dataset Dataset URL suffix in format <owner>/<dataset-name> (use "kaggle datasets list" to show options)
-p PATH, --path PATH Location to download dataset metadata to. Defaults to current working directory
Example:
kaggle datasets metadata -p /path/to/download zillow/zecon
usage: kaggle datasets status [-h] [dataset]
optional arguments:
-h, --help show this help message and exit
dataset Dataset URL suffix in format <owner>/<dataset-name> (use "kaggle datasets list" to show options)
Example:
kaggle datasets status zillow/zecon
The API supports the following commands for Kaggle Kernels.
usage: kaggle kernels [-h] {list,init,push,pull,output,status} ...
optional arguments:
-h, --help show this help message and exit
commands:
{list,init,push,pull,output,status}
list List available kernels
init Initialize metadata file for a kernel
push Push new code to a kernel and run the kernel
pull Pull down code from a kernel
output Get data output from the latest kernel run
status Display the status of the latest kernel run
usage: kaggle kernels list [-h] [-m] [-p PAGE] [-s SEARCH] [-v]
[--parent PARENT] [--competition COMPETITION]
[--dataset DATASET] [--parent-kernel PARENT_KERNEL]
[--user USER] [--language LANGUAGE]
[--kernel-type KERNEL_TYPE]
[--output-type OUTPUT_TYPE] [--sort-by SORT_BY]
optional arguments:
-h, --help show this help message and exit
-m, --mine Display only my items
-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)
--parent PARENT Find children of the specified parent kernel
--competition COMPETITION
Find kernels for a given competition
--dataset DATASET Find kernels for a given dataset
--user USER Find kernels created by a given user
--language LANGUAGE Specify the language the kernel is written in. Valid options are 'all', 'python', 'r', 'sqlite', and 'julia'
--kernel-type KERNEL_TYPE
Specify the type of kernel. Valid options are 'all', 'script', and 'notebook'
--output-type OUTPUT_TYPE
Search for specific kernel output types. Valid options are 'all', 'visualizations', and 'data'
--sort-by SORT_BY Sort list results. Valid options are 'hotness', 'commentCount', 'dateCreated', 'dateRun', 'relevance', 'scoreAscending', 'scoreDescending', 'viewCount', and 'voteCount'. 'relevance' is only applicable ifa search term is specified.
Example:
kaggle kernels list -s titanic
usage: kaggle kernels init [-h] [-p FOLDER]
optional arguments:
-h, --help show this help message and exit
-p FOLDER, --path FOLDER
Folder for upload, containing data files and a special kernel-metadata.json file (https://github.com/Kaggle/kaggle-api/wiki/Kernel-Metadata). Defaults to current working directory
Example:
kaggle kernels init -p /path/to/kernel
usage: kaggle kernels push [-h] -p FOLDER
optional arguments:
-h, --help show this help message and exit
-p FOLDER, --path FOLDER
Folder for upload, containing data files and a special kernel-metadata.json file (https://github.com/Kaggle/kaggle-api/wiki/Kernel-Metadata). Defaults to current working directory
Example:
kaggle kernels push -p /path/to/kernel
usage: kaggle kernels pull [-h] [-p PATH] [-w] [-m] [kernel]
optional arguments:
-h, --help show this help message and exit
kernel Kernel URL suffix in format <owner>/<kernel-name> (use "kaggle kernels list" to show options)
-p PATH, --path PATH Folder where file(s) will be downloaded, defaults to current working directory
-w, --wp Download files to current working path
-m, --metadata Generate metadata when pulling kernel
Example:
kaggle kernels pull rtatman/list-of-5-day-challenges -p /path/to/dest
usage: kaggle kernels output [-h] [-p PATH] [-w] [-o] [-q] [kernel]
optional arguments:
-h, --help show this help message and exit
kernel Kernel URL suffix in format <owner>/<kernel-name> (use "kaggle kernels list" to show options)
-p PATH, --path PATH Folder where file(s) will be downloaded, defaults to current working directory
-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 the upload/download progress
Example:
kaggle kernels output mrisdal/exploring-survival-on-the-titanic -p /path/to/dest
usage: kaggle kernels status [-h] [kernel]
optional arguments:
-h, --help show this help message and exit
kernel Kernel URL suffix in format <owner>/<kernel-name> (use "kaggle kernels list" to show options)
Example:
kaggle kernels status mrisdal/exploring-survival-on-the-titanic
The API supports the following commands for configuration.
usage: kaggle config [-h] {view,set,unset} ...
optional arguments:
-h, --help show this help message and exit
commands:
{view,set,unset}
view View current config values
set Set a configuration value
unset Clear a configuration value
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 current working directory
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 current working directory
- 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
Kernel support is preliminary and may have some issues.
The Kaggle API is released under the Apache 2.0 license.