getting list of all datasets

When I tried to use the following code to get the list of all datasets:

import csv
import quandl
quandl.ApiConfig.api_key = 'your_key'
ds=quandl.Dataset.all()
npage=ds.meta['total_pages']
csv_file = open('Datasets.csv', 'w', newline='')
csv_writer = csv.writer(csv_file)
for i in range( 1, npage+1 ):
    t=quandl.Dataset.all(params={ 'page': i })
    t.to_list()
    for e in t:
        line=e.to_list()
        csv_writer.writerow(line)
csv_file.close()

I got the following error:

Traceback (most recent call last):
  File "getlists.py", line 9, in <module>
    t=quandl.Dataset.all(params={ 'page': i })
  File "C:\Program Files\Python37\lib\site-packages\quandl\operations\list.py", line 15, in all
    r = Connection.request('get', path, **options)
  File "C:\Program Files\Python37\lib\site-packages\quandl\connection.py", line 38, in request
    return cls.execute_request(http_verb, abs_url, **options)
  File "C:\Program Files\Python37\lib\site-packages\quandl\connection.py", line 50, in execute_request
    cls.handle_api_error(response)
  File "C:\Program Files\Python37\lib\site-packages\quandl\connection.py", line 114, in handle_api_error
    raise klass(message, resp.status_code, resp.text, resp.headers, code)
quandl.errors.quandl_error.LimitExceededError: (Status 416) (Quandl Error QELx08) This API call returns a maximum of 2000 results. To retrieve metadata for all time-series in this data feed, please use the metadata route. For more information, see https://help.quandl.com/article/92-how-do-i-download-the-quandl-codes-of-all-the-timeseries-in-a-given-data-feed

Either the link in the error message or online Quandl documents about downloading bulk data can only download specific databases/datasets, and looks not working in my case.

Is there any way to download such big list (58781 pages)? Thanks in advance.

quandl / quandl-python

getting list of all datasets #173