在python中对Google Analytics API应用过滤器

from googleapiclient.discovery import build
from oauth2client.service_account import ServiceAccountCredentials

# 定义API凭据文件的路径
credentials_file = 'path/to/credentials.json'

# 定义要访问的Google Analytics视图ID
view_id = 'ga:12345678'

# 定义过滤器表达式
filter_expression = 'ga:pagePath==/example-page'

# 创建API凭据对象
credentials = ServiceAccountCredentials.from_json_keyfile_name(credentials_file, ['https://www.googleapis.com/auth/analytics.readonly'])

# 创建Google Analytics API客户端
analytics = build('analyticsreporting', 'v4', credentials=credentials)

# 发起API请求，应用过滤器并获取数据
response = analytics.reports().batchGet(
  body={
    'reportRequests': [
      {
        'viewId': view_id,
        'dateRanges': [{'startDate': '2022-01-01', 'endDate': '2022-01-31'}],
        'metrics': [{'expression': 'ga:sessions'}],
        'dimensions': [{'name': 'ga:pagePath'}],
        'dimensionFilterClauses': [
          {
            'filters': [
              {
                'dimensionName': 'ga:pagePath',
                'operator': 'EXACT',
                'expressions': [filter_expression]
              }
            ]
          }
        ]
      }
    ]
  }
).execute()

# 处理API响应数据
for report in response['reports']:
  for row in report['data']['rows']:
    page_path = row['dimensions'][0]
    sessions = row['metrics'][0]['values'][0]
    print(f"Page Path: {page_path}, Sessions: {sessions}")