Get WeChat Channels Video Comments

Name: Get WeChat Channels Video Comments
Author: WeChat Channels

wechat-channels/v2/video-comments

Get first-level comments of a video (with IP region / like count). pass `comment_id` to get second-level replies under that comment.. Supports pagination for more comments.

Use in agent Get API key

Base price: $0.01 / run
Execution: sync
Model type: api
Input fields: 4

Try the model

Playground

Open playground

Input

Comment Id

Optional. To expand the replies of a comment, pass its `comment_id` (numeric); leave empty for the first-level page.

Last Buffer

Optional pagination cursor (base64). **Leave empty for the first page**; when `down_continue` is truthy, pass the previous page's `last_buffer`.

Object Id(string)

Video objectId (numeric), e.g. `14941130915890399732`. From the video `id` of `fetch_user_videos` / `fetch_video_detail`.

Raw(boolean)

Optional, default True. True=raw response; False=simplified parsed structure.

OutputReady

Your output will appear here

Complete the inputs, then click Run.

Specifications

Pricing

Base price: $0.01 / run

Context & modalities

Supported modes: sync
Input: Schema-defined
Output: api

Capabilities

Chat: Not supported
Vision: Not supported
Reasoning: Not supported
Structured output: Not supported
Function calling: Not supported
Audio input: Not supported

Access

Provider: WeChat Channels
Model ID: wechat-channels/v2/video-comments
Execution: sync
API: Unified Run API
Endpoint: /v1/run

API README

Get WeChat Channels Video Comments

Get first-level comments of a video (with IP region / like count). pass comment_id to get second-level replies under that comment. Supports pagination for more comments. It is suitable for wechat-channels workflows.

Capability

Get first-level comments of a video (with IP region / like count). pass comment_id to get second-level replies under that comment. Supports pagination for more comments. 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.

Start building

Send your first request

OpenAI-compatible endpoint with unified authentication and usage tracking.

Production API

Endpoint

https://api.sandbase.ai/v1/run

Model ID

wechat-channels/v2/video-comments

# Preserve Unicode and shell metacharacters in the request body.
result=$(printf '%s' 'ewogICJtb2RlbCI6ICJ3ZWNoYXQtY2hhbm5lbHMvdjIvdmlkZW8tY29tbWVudHMiCn0=' \
  | base64 --decode \
  | curl --fail-with-body --silent \
      -X POST "https://api.sandbase.ai/v1/run" \
      -H "Authorization: Bearer $SANDBASE_API_KEY" \
      -H "Content-Type: application/json" \
      --data-binary @-)
printf '%s\n' "$result"

Choose your model

Compare models

All language models

Model	Context	Input / 1M	Output / 1M	Released
Get WeChat Channels Video CommentsThis model `WeChat Channels`	—	—	—	Jul 31, 2026
Convert Channel ID to Finder Username `WeChat Channels`	—	—	—	Jul 31, 2026
Get WeChat Channels Account Info `WeChat Channels`	—	—	—	Jul 31, 2026
Get WeChat Channels Collection Videos `WeChat Channels`	—	—	—	Jul 31, 2026
Get WeChat Channels Live Detail `WeChat Channels`	—	—	—	Jul 31, 2026
Get WeChat Channels Live History `WeChat Channels`	—	—	—	Jul 31, 2026