一个轻量级的python包装器，用于google的分析报告api v4，它是在googleapi python客户端上编写的。
gaapi的Python项目详细描述
砷化镓0.1.5
写在Google's API Python Client上的Google's Analytics Reporting API v4的轻量级python包装器。
gaapi提供的特性
- 分析聚焦于处理报告API的库。
- Python式用法。
- 使您能够缓存响应数据。
- 使您能够获得简化的响应数据。（待办事项）
安装
要安装，只需使用pip或easy_install：
$ pip install --upgrade gaapi
或
$ easy_install --upgrade gaapi
获取谷歌凭证
1。要创建服务帐户凭据，请按以下链接进行操作
https://support.google.com/a/answer/7378726?hl=en 2。在Google Analytics中获取视图ID，按照下面的链接进行操作
https://keyword-hero.com/documentation/finding-your-view-id-in-google-analytics 安装客户端库时将安装以下库： 欢迎加入QQ群-->： 979659372
开始
实例化GA客户端
from gaapi import Client
GA_SERVICE_ACCOUNT_CREDENTIALS = {
"type": "service_account",
"project_id": "analytics-xyz",
"private_key_id": "private_key_id",
"private_key": "-----BEGIN PRIVATE KEY-----ASADASDONWQENLKQWEIL\nASDASDOILWQE",
"client_email": "username@analytics-xyz.iam.gserviceaccount.com",
"client_id": "103486406559549721528",
"auth_uri": "https://accounts.google.com/o/oauth2/auth",
"token_uri": "https://accounts.google.com/o/oauth2/token",
"auth_provider_x509_cert_url": "https://www.googleapis.com/oauth2/v1/certs",
"client_x509_cert_url": "https://www.googleapis.com/robot/v1/metadata/x509/username@analytics-xyz.iam.gserviceaccount.com"
}
GA_VIEW_ID = '12345567890'
ga = Client(
credentials=GA_SERVICE_ACCOUNT_CREDENTIALS,
view_id=GA_VIEW_ID
)
生成查询
gaapi格式
query = ga.query.date_ranges(
start_date='2018-07-03', end_date='today'
).metrics(
expression='ga:users'
).dimensions(
name='ga:pagePath'
).dimensions(
name='ga:eventLabel'
).dimension_filter_clauses(
filters=[{
"dimension_name": "ga:pagePath",
"operator": "REGEXP",
"expressions": ".*something.*"
}],
)
# Clone query (Only for Gaapi format)
# Add `clean=True` to reset a value in the query (say for date_ranges)
cloned_query = ga.query.clone(query).date_ranges(
start_date='2018-08-01', end_date='today', clean=True
)
# Read query
print(query.json())
python字典格式
query = {
'date_ranges': {
'start_date': '2018-07-03',
'end_date': 'today'
},
'metrics': [
{'expression': 'ga:users'}
],
'dimensions': [
{'name': 'ga:pagePath'}
],
'dimension_filter_clauses': [{
"filters": [{
"dimension_name": "ga:pagePath",
"operator": "REGEXP",
"expressions": "\/.*something\/.*"
}]
}]
}
谷歌的原始查询格式
query = {
'dateRanges': {
'startDate': '2018-07-03',
'endDate': 'today'
},
'metrics': [
{'expression': 'ga:users'}
],
'dimensions': [
{'name': 'ga:pagePath'}
],
'dimensionFilterClauses': [{
"filters": [{
"dimensionName": "ga:pagePath",
"operator": "REGEXP",
"expressions": "\/.*something\/.*"
}]
}]
}
请求数据
# Using gaapi query or python dictionary or json
response = ga.batch_get(query)
# Cache for 600ms
response = ga.batch_get(query, cache_ttl=600)
第三方库和依赖项
待办事项
贡献
推荐PyPI第三方库