douyin/app-v3/video-statistics
List of statistics that can be obtained: Like count (digg_count) Download count (download_count) Play count (play_count) Share count (share_count).
Example output — click Run to generate your own
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OpenAI-compatible endpoint with unified authentication and usage tracking.
https://api.sandbase.ai/v1/rundouyin/app-v3/video-statisticsInput Schema
1 parameters · 1 required · 0 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
aweme_ids | string | Required | Video id, supports multiple video ids, separated by commas, no more than 2, single is also possible, no need for commas. |
Output Schema
| Field | Type | Description |
|---|---|---|
id | string | Unique identifier for the generation task |
status | string | Task status: pending, running, completed, failed, timeout |
model | string | Model used for the generation |
outputs | array | Array of output items |
outputs[].url | string | URL of the generated artifact |
outputs[].content_type | string | MIME type (e.g. image/png, video/mp4) |
error | object | null | Error details if failed, null on success |
error.type | string | Machine-readable error type code |
error.message | string | Human-readable error description |
Code Examples
Ready-to-run snippets
curl -X POST https://api.sandbase.ai/v1/run \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "douyin/app-v3/video-statistics",
"prompt": "a beautiful sunset over mountains"
}'API README
Get the statistical data of the Post according to the video ID (like count, download count, play count, share count)
List of statistics that can be obtained: Like count (digg_count) Download count (download_count) Play count (play_count) Share count (share_count). It is suitable for douyin workflows.
Capability
List of statistics that can be obtained: Like count (digg_count) Download count (download_count) Play count (play_count) Share count (share_count). It helps applications, agents, and automated workflows turn that capability into repeatable tasks and useful downstream experiences.
Common use cases
- Build media monitoring, content intelligence, and publishing-support workflows.
- Create repeatable integrations that pass structured results to downstream business systems.
- Support scheduled jobs, internal tools, and agent workflows with structured results.

