我使用 API 的 Google Analytics 获取视图答案

【问题标题】：Google Analytics fetch view I'd using API我使用 API 的 Google Analytics 获取视图
【发布时间】：2020-04-13 04:13:26
【问题描述】：

我正在尝试构建一个支持分析工具，让最终用户可以使用来自多个来源的数据创建自己的仪表板，其中一个来源是 Google Analytics。我使用 Google Analytics Core 报告 API 来获取数据。但是到目前为止，我正在手动插入我的用户帐户的视图以获取数据。由于我正在为最终用户构建它，因此当他们使用 oauth 授权我的应用程序时，我需要能够以编程方式（使用 API）来获取用户帐户的视图。我已经看到像 databox 这样的工具已经实现了这一点，所以想知道如何复制它。这是我正在使用的代码 sn-p

import argparse

from apiclient.discovery import build
import httplib2
from oauth2client import client
from oauth2client import file
from oauth2client import tools

SCOPES = ['https://www.googleapis.com/auth/analytics.readonly']
CLIENT_SECRETS_PATH = 'client_secrets.json' # Path to client_secrets.json file.
VIEW_ID = 'xxxxxx' #manually inserted view I'd here



def initialize_analyticsreporting():
  """Initializes the analyticsreporting service object.

  Returns:
    analytics an authorized analyticsreporting service object.
  """
  # Parse command-line arguments.
  parser = argparse.ArgumentParser(
      formatter_class=argparse.RawDescriptionHelpFormatter,
      parents=[tools.argparser])
  flags = parser.parse_args([])

  # Set up a Flow object to be used if we need to authenticate.
  flow = client.flow_from_clientsecrets(
      CLIENT_SECRETS_PATH, scope=SCOPES,
      message=tools.message_if_missing(CLIENT_SECRETS_PATH))

  # Prepare credentials, and authorize HTTP object with them.
  # If the credentials don't exist or are invalid run through the native client
  # flow. The Storage object will ensure that if successful the good
  # credentials will get written back to a file.
  storage = file.Storage('analyticsreporting.dat')
  credentials = storage.get()
  if credentials is None or credentials.invalid:
    credentials = tools.run_flow(flow, storage, flags)
  http = credentials.authorize(http=httplib2.Http())

  # Build the service object.
  analytics = build('analyticsreporting', 'v4', http=http)

  return analytics

def get_report(analytics):
  # Use the Analytics Service Object to query the Analytics Reporting API V4.
  return analytics.reports().batchGet(
      body={
        'reportRequests': [
        {
          'viewId': VIEW_ID,
          'dateRanges': [{'startDate': '7daysAgo', 'endDate': 'today'}],
          'metrics': [{'expression': 'ga:sessions'}]
        }]
      }
  ).execute()


def print_response(response):
  """Parses and prints the Analytics Reporting API V4 response"""

  for report in response.get('reports', []):
    columnHeader = report.get('columnHeader', {})
    dimensionHeaders = columnHeader.get('dimensions', [])
    metricHeaders = columnHeader.get('metricHeader', {}).get('metricHeaderEntries', [])
    rows = report.get('data', {}).get('rows', [])

    for row in rows:
      dimensions = row.get('dimensions', [])
      dateRangeValues = row.get('metrics', [])

      for header, dimension in zip(dimensionHeaders, dimensions):
        print (header + ': ' + dimension)

      for i, values in enumerate(dateRangeValues):
        print ('Date range (' + str(i) + ')')
        for metricHeader, value in zip(metricHeaders, values.get('values')):
          print (metricHeader.get('name') + ': ' + value)


def main():

  analytics = initialize_analyticsreporting()
  response = get_report(analytics)
  print_response(response)

if __name__ == '__main__':
  main()

【问题讨论】：

标签： python google-analytics

【解决方案1】：

我自己想出了答案。我们必须使用管理 API 来获取特定帐户的所有视图 ID，并将其作为参数传递给核心报告 API 以获取指标/维度。

【讨论】：