May 19, 2021 WeChat Mini Program Development Document
Get portrait distribution data for new or active users of small programs. T he time range supports yesterday, the last 7 days, the last 30 days. A mong them, the number of new users is the number of heavy-weight users who first access the small program in the time range, and the number of active users is the number of the out-of-heavy users who have accessed the small program in the time range. Portrait properties include user age, gender, province, city, terminal type, model.
Interface address: https://api.weixin.qq.com/datacube/getweanalysisappiduserportrait?access_token=ACCESS_TOKEN
POST Request Parameter Description:
Parameters | Is it required | Description |
---|---|---|
begin_date | Is | The start date |
end_date | Is | The end date, with the number of days between the start date and the end date limited to 0/6/29, represents the most recent 1/7/30 day data for the query, and the maximum allowed for end_date is yesterday |
POST content example:
{
"begin_date" : "2017-06-11",
"end_date" : "2017-06-17"
}
Return the parameter description:
Each request returns the selected time range and the following metrics:
Parameters | Description |
---|---|
ref_date | Time range, e.g. "20170611-20170617" |
visit_uv_new | New users |
visit_uv | Active users |
Properties included under each metric:
Parameters | Description |
---|---|
province | provinces, such as Beijing, Guangdong, etc |
city | Cities, such as Beijing, Guangzhou, etc |
genders | Gender, including male, female, unknown |
platfomrs | Terminal types, including iPhone, android, others |
devices | Models such as Apple's iPhone 6, OPPO R9, etc |
ages | Age, including under 17 years old, 18-24 years old and so on |
Data items included under each property:
Parameters | Description |
---|---|
Id | The property value id |
name | The property value name, which corresponds to id one-to-one. If the property is profile, the returned property value name includes "Guangdong" and so on |
value | The property value corresponds to the indicator value, such as the indicator is visit_uv, the property is profile, the property value is "Guangdong Province", and the value corresponds to the number of active users in Guangdong |
Return an example of the data:
{
"ref_date": "20170611",
"visit_uv_new": {
"province": [
{
"id": 31,
"name": "广东省",
"value": 215
}
],
"city": [
{
"id": 3102,
"name": "广州",
"value": 78
}
],
"genders": [
{
"id": 1,
"name": "男",
"value": 2146
}
],
"platforms": [
{
"id": 1,
"name": "iPhone",
"value": 27642
}
],
"devices": [
{
"name": "OPPO R9",
"value": 61
}
],
"ages": [
{
"id": 1,
"name": "17岁以下",
"value": 151
}
]
},
"visit_uv": {
"province": [
{
"id": 31,
"name": "广东省",
"value": 1341
}
],
"city": [
{
"id": 3102,
"name": "广州",
"value": 234
}
],
"genders": [
{
"id": 1,
"name": "男",
"value": 14534
}
],
"platforms": [
{
"id": 1,
"name": "iPhone",
"value": 21750
}
],
"devices": [
{
"name": "OPPO R9",
"value": 617
}
],
"ages": [
{
"id": 1,
"name": "17岁以下",
"value": 3156
}
]
}
}
Note: