Kaggle datasets into jupyter notebook

Question

I am trying to import some data from kaggle into notebook. The error I am receiving is a 401 unauthorized, however I have accepted the competition rules and I am able to download the data.

This is the code I am running:

from kaggle.api.kaggle_api_extended import KaggleApi

api = KaggleApi()
files = api.competition_download_files("twosigmanews")
api.competitions_submit("submission.csv", "my submission message", "twosigmanews")

EDIT: Added more of the error: No matter which kaggle data I wish to import I obtain the same error.

---

ApiException                              Traceback (most recent call last)
<ipython-input-7-65a92f19da82> in <module>()
      2 
      3 api = KaggleApi()
----> 4 files = api.competition_download_files("twosigmanews")
      5 api.competitions_submit("submission.csv", "my submission message", "twosigmanews")

~\Anaconda3\lib\site-packages\kaggle\api\kaggle_api_extended.py in competition_download_files(self, competition, path, force, quiet)
    637             quiet: suppress verbose output (default is False)
    638         """
--> 639         files = self.competition_list_files(competition)
    640         if not files:
    641             print('This competition does not have any available data files')

~\Anaconda3\lib\site-packages\kaggle\api\kaggle_api_extended.py in competition_list_files(self, competition)
    554         """
    555         competition_list_files_result = self.process_response(
--> 556             self.competitions_data_list_files_with_http_info(id=competition))
    557         return [File(f) for f in competition_list_files_result]
    558 

~\Anaconda3\lib\site-packages\kaggle\api\kaggle_api.py in competitions_data_list_files_with_http_info(self, id, **kwargs)
    416             _preload_content=params.get('_preload_content', True),
    417             _request_timeout=params.get('_request_timeout'),
--> 418             collection_formats=collection_formats)
    419 
    420     def competitions_list(self, **kwargs):  # noqa: E501

~\Anaconda3\lib\site-packages\kaggle\api_client.py in call_api(self, resource_path, method, path_params, query_params, header_params, body, post_params, files, response_type, auth_settings, async_req, _return_http_data_only, collection_formats, _preload_content, _request_timeout)
    332                                    response_type, auth_settings,
    333                                    _return_http_data_only, collection_formats,
--> 334                                    _preload_content, _request_timeout)
    335         else:
    336             thread = self.pool.apply_async(self.__call_api, (resource_path,

~\Anaconda3\lib\site-packages\kaggle\api_client.py in __call_api(self, resource_path, method, path_params, query_params, header_params, body, post_params, files, response_type, auth_settings, _return_http_data_only, collection_formats, _preload_content, _request_timeout)
    163             post_params=post_params, body=body,
    164             _preload_content=_preload_content,
--> 165             _request_timeout=_request_timeout)
    166 
    167         self.last_response = response_data

~\Anaconda3\lib\site-packages\kaggle\api_client.py in request(self, method, url, query_params, headers, post_params, body, _preload_content, _request_timeout)
    353                                         _preload_content=_preload_content,
    354                                         _request_timeout=_request_timeout,
--> 355                                         headers=headers)
    356         elif method == "HEAD":
    357             return self.rest_client.HEAD(url,

~\Anaconda3\lib\site-packages\kaggle\rest.py in GET(self, url, headers, query_params, _preload_content, _request_timeout)
    249                             _preload_content=_preload_content,
    250                             _request_timeout=_request_timeout,
--> 251                             query_params=query_params)
    252 
    253     def HEAD(self, url, headers=None, query_params=None, _preload_content=True,

~\Anaconda3\lib\site-packages\kaggle\rest.py in request(self, method, url, query_params, headers, body, post_params, _preload_content, _request_timeout)
    239 
    240         if not 200 <= r.status <= 299:
--> 241             raise ApiException(http_resp=r)
    242 
    243         return r

ApiException: (401)
Reason: Unauthorized
HTTP response headers: HTTPHeaderDict({'Cache-Control': 'private', 'Content-Length': '37', 'Content-Type': 'application/json; charset=utf-8', 'X-MiniProfiler-Ids': '["b1df1310-4d5b-4000-8f43-e5b6f4958a48","b9dcdaa4-64ef-4be1-bbbe-90fe664a81bd","db1868eb-0a12-4217-a89a-5cbb3946b0e7","b8166dda-a74f-4e64-8bd4-fe529e95bf04","205f9250-b5eb-4cfd-b94c-976778be8f17","229360b9-37d4-456f-b030-9e56879d7c84"]', 'X-Frame-Options': 'SAMEORIGIN', 'Referrer-Policy': 'strict-origin-when-cross-origin', 'Set-Cookie': 'ARRAffinity=87506ffb959c51b2ba135ec75a7dffc3bc28e2948e5cb4ee012d8d916b147438;Path=/;HttpOnly;Domain=www.kaggle.com', 'Date': 'Sat, 06 Oct 2018 16:23:01 GMT'})
HTTP response body: {"code":401,"message":"Unauthorized"}

Answer 1

I think that the name of the competition is wrong. Try:

from kaggle.api.kaggle_api_extended import KaggleApi

api = KaggleApi('copy and paste kaggle.json content here')
api.authenticate()
files = api.competition_download_files("two-sigma-financial-news")

Answer 2

While looking through the source code, I found this class. I think the notebook doesn't auto authenticate when you call KaggleApi(), hence you need to call the authenticate function on the API to connect to the Kaggle API.

Try:

api = KaggleApi()
api.authenticate()

I was able to connect and download the samples after this call.

Answer 3

You have not provided any authorization to your code, eg your user id, password, and the most important authentication key. The authentication key is given after user id and its Kaggle password is provided.

The Kaggle authentication can be obtained from api.authenticate() function after assigning Kaggle API to the variable named "api".

Answer 4

Your username and key is either not provided or invalid.

Goto https://www.kaggle.com/username/account and create new API token. kaggle.json file will be downloaded. Place it in ~/.kaggle/kaggle.json or C:\\Users\\User\\.kaggle\\kggle.json .

Also, you have to click "I understand and accept" in Rules Acceptance section for the data your going to download.

Answer 5

Here is another pythonic way to import your data from kaggle API. I assume you are working on cloud instance with linux OS.

Here is how I do it :

1. get your kaggle.json file from your kaggle account page: https://www.kaggle.com/<username>/account

2. Run this code and make sure you have the kaggle.json in the right directory.

    import json import os os.chdir("~/.kaggle") data = {"username":"username","key":"tockenvalue"} # get this data from kaggle.json file with open('kaggle.json', 'w') as outfile: json.dump(data, outfile) 

3. in terminal, cd change directory to where you want to put your data and then type in terminal : kaggle competitions download -c two-sigma-financial-news

This is available everytime you want to import data from Kaggle API.