Some API methods may return very large lists of data. To reduce the response size, many of these API methods support pagination. With paginated results, your application can iteratively request and process large lists one page at a time. For API methods that support it, there exist similarly named methods with a _next suffix. For example, if a method is named list(), there may also be a method named list_next(). These methods can be found in the API’s PyDoc documentation on the Supported APIs page.

To process the first page of results, create a request object and call execute() as you normally would. For further pages, you call the corresponding method_name_next() method, and pass it the previous request and response. Continue paging until method_name_next() returns None.

In the following code snippet, the paginated results of a Google Plus activities list() method are processed:

activities = service.activities()
request = activities.list(userId='someUserId', collection='public')

while request is not None:
  activities_doc = request.execute()

  # Do something with the activities

  request = activities.list_next(request, activities_doc)

Note that you only call execute() on the request once inside the while loop.