Store Ad Campaign Schedule API Endpoint
API Information
- API Name: Store Ad Campaign Schedule API Endpoint
- Request Method: GET
- API Address:
/open-api/v1/data - API Path:
/v3/api/open/store/detail/ad-schedule - API Description:
- Query ad campaign schedule data for a specified store on different platforms (TikTok/Facebook)
- Count daily ad campaign volume by date
- Support filtering by time range to understand the store's ad campaign pace
- Help analyze the store's ad campaign strategy and active cycles
- Pricing:
Free
Request Headers:
- Content-Type: application/json
- Accept: application/json
Request Parameters
Request Structure
| Parameter Name | Type | Description | Example | Required | Default Value |
|---|---|---|---|---|---|
key | string | User's external API request key | "your_api_key_here" | Yes | |
uri | string | API path | "/v3/api/open/store/detail/ad-schedule" | Yes | |
params | object | API input parameter object | See parameter list | Yes |
Request Body Parameters (params object)
| Parameter Name | Type | Required | Description |
|---|---|---|---|
id | string | true | Store ID is a 13-character string (e.g., c2d5b2547218a), corresponding to the store_id field in the store ranking list API response |
type | integer | false | Platform type: 1 - TikTok platform, 2 - Facebook platform, default is 1 |
time_start | long | false | Start time, timestamp (seconds), no start time limit if not provided |
time_end | long | false | End time, timestamp (seconds), no end time limit if not provided |
Request Example
curl -X POST "https://www.pipispy.com/open-api/v1/data" \
-H "Content-Type: application/json" \
-H "Accept: application/json" \
-d '{
"key": "your_api_key_here",
"uri": "/v3/api/open/store/detail/ad-schedule",
"params": {
"id": "c2d5b2547218a",
"type": 1,
"time_start": 1704067200,
"time_end": 1706745599
}
}'
Response Parameters
Response Body Structure
{
"code": 200,
"message": "success",
"data": {
"data": [
{
"day": 1704067200,
"ad_count": 150
},
{
"day": 1704153600,
"ad_count": 165
},
{
"day": 1704240000,
"ad_count": 142
}
]
},
"version": "v1",
"timestamp": null,
"sign": null,
"remaining_credits": 9980,
"consumed_credits": 0,
"fail": false,
"success": true
}
Response Field Descriptions
| Field Name | Type | Description |
|---|---|---|
code | Integer | Response status code, 200 means success |
message | String | Response message |
data | Object | Response data |
version | String | API version |
timestamp | String | Response timestamp |
sign | String | Response signature |
remaining_credits | Long | Current remaining available credits after this request |
consumed_credits | Long | Credits consumed by this request |
success | Boolean | Whether the request was successful |
fail | Boolean | Whether the request failed |
Response Result Information Fields
| Field Name | Type | Description |
|---|---|---|
data | Array[Object] | Daily campaign data list |
data Array Element Structure (Daily Campaign Data)
| Field Name | Type | Description |
|---|---|---|
day | Long | Statistics date, timestamp (seconds) |
ad_count | Long | Ad campaign volume for that day |
Note:
- Data is sorted in ascending order by date, from earliest to latest
- Only returns date data where ad count is greater than 0
- Depending on the type parameter, statistics are for different platforms' ad counts
Response Example
TikTok Platform Data Example (type=1)
{
"code": 200,
"message": "success",
"data": {
"data": [
{
"day": 1704067200,
"ad_count": 150
},
{
"day": 1704153600,
"ad_count": 165
},
{
"day": 1704240000,
"ad_count": 142
},
{
"day": 1704326400,
"ad_count": 178
},
{
"day": 1704412800,
"ad_count": 155
},
{
"day": 1704499200,
"ad_count": 188
},
{
"day": 1704585600,
"ad_count": 195
},
{
"day": 1704672000,
"ad_count": 210
},
{
"day": 1704758400,
"ad_count": 185
},
{
"day": 1704844800,
"ad_count": 172
}
]
},
"version": "v1",
"timestamp": null,
"sign": null,
"remaining_credits": 9980,
"consumed_credits": 0,
"fail": false,
"success": true
}
Facebook Platform Data Example (type=2)
{
"code": 200,
"message": "success",
"data": {
"data": [
{
"day": 1704067200,
"ad_count": 85
},
{
"day": 1704153600,
"ad_count": 92
},
{
"day": 1704240000,
"ad_count": 78
},
{
"day": 1704326400,
"ad_count": 95
},
{
"day": 1704412800,
"ad_count": 88
},
{
"day": 1704499200,
"ad_count": 102
},
{
"day": 1704585600,
"ad_count": 110
},
{
"day": 1704672000,
"ad_count": 98
},
{
"day": 1704758400,
"ad_count": 105
},
{
"day": 1704844800,
"ad_count": 92
}
]
},
"version": "v1",
"timestamp": null,
"sign": null,
"remaining_credits": 9980,
"consumed_credits": 0,
"fail": false,
"success": true
}
Unlimited Time Range Example (without time_start and time_end)
{
"code": 200,
"message": "success",
"data": {
"data": [
{
"day": 1672531200,
"ad_count": 45
},
{
"day": 1672617600,
"ad_count": 52
},
{
"day": 1672704000,
"ad_count": 48
},
...
{
"day": 1706745600,
"ad_count": 210
}
]
},
"version": "v1",
"timestamp": null,
"sign": null,
"remaining_credits": 9980,
"consumed_credits": 0,
"fail": false,
"success": true
}
Error Code Descriptions
| Error Code | Description |
|---|---|
200 | Success |
400 | Request parameter error |
500 | Internal server error |
Usage Instructions
1. Platform Type Description
-
type=1 (TikTok Platform):
- Count daily ad campaign volume for the store on TikTok platform
- Data source: TikTok ad video data
-
type=2 (Facebook Platform):
- Count daily ad campaign volume for the store on Facebook platform
- Data source: Facebook ad data
2. Time Range
- Both time_start and time_end are optional parameters:
- If no time parameters are provided, returns all historical campaign data for the store
- If only time_start is provided, returns campaign data from that time point to the latest
- If only time_end is provided, returns campaign data from the earliest to that time point
- If both are provided, returns campaign data within that time range
- Timestamp unit is seconds
3. Data Sorting
- Data is sorted in ascending order by statistics date (day field)
- From earliest date to latest date
- Convenient for observing trends in campaign evolution over time
4. Data Filtering
- Only returns dates where ad count is greater than 0
- If there are no ad campaigns on a certain day, that date will not appear in the results
- Ensures all returned data is valid campaign data