Get WeChat MP Article Comments

Name: Get WeChat MP Article Comments
Author: WeChat MP

wechat-mp/v2/article-comments

Get WeChat MP article comments (single page, `buffer` cursor pagination). `has_more` false means the last page.. For second-level replies of a specific comment, use `fetch_comment_replies` (pass the comment's `content_id`).

Use in agent Get API key

Base price: $0.01USD / run
Execution: sync
Model type: api
Input fields: 3

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Playground

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Input

Buffer

Optional, default empty. Pagination cursor; leave empty for the first page, pass `buffer` from the previous response for the next page.

Raw(boolean)

Optional, default True. True=full raw comment objects; False=simplified comment view.

Url(string)

WeChat MP article URL (`https://mp.weixin.qq.com/s/…`). E.g. `https://mp.weixin.qq.com/s/TSNQKkRpN1qbKsT7BvzqIw`

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 MP
Model ID: wechat-mp/v2/article-comments
Execution: sync
API: Platform API
Endpoint: /v1/api/wechat-mp/v2/article-comments

API README

Get WeChat MP Article Comments

Get WeChat MP article comments (single page, buffer cursor pagination). has_more false means the last page. For second-level replies of a specific comment, use fetch_comment_replies (pass the comment's content_id). It is suitable for wechat-mp workflows.

Capability

Common use cases

Connect structured data to dashboards, agents, internal tools, and automated workflows.
Create repeatable integrations that pass structured results to downstream business systems.
Support scheduled jobs, internal tools, and agent workflows with structured results.

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Platform API endpoint with unified authentication and usage tracking.

Production API

Platform API endpoint

https://api.sandbase.ai/v1/api/wechat-mp/v2/article-comments

Model ID

wechat-mp/v2/article-comments

# The quoted heredoc keeps Unicode and shell metacharacters unchanged.
result=$(curl --fail-with-body --silent \
  -X POST "https://api.sandbase.ai/v1/api/wechat-mp/v2/article-comments" \
  -H "Authorization: Bearer $SANDBASE_API_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'SANDBASE_JSON'
{
  "raw": true,
  "url": "https://mp.weixin.qq.com/s/TSNQKkRpN1qbKsT7BvzqIw",
  "buffer": ""
}
SANDBASE_JSON
)
printf '%s\n' "$result"

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Model	Context	Input / 1M	Output / 1M	Released
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