# 微信视频号评论回复 API | WeChat Channels comment replies

**Use case:** 

导出微信视频号一级评论下的二级评论回复，使用 SocialDataX 获取结构化 WeChat Channels comment replies，包括回复内容、回复用户、互动指标、时间和分页信息，适合评论链路分析、CSV、Excel 和 API workflows。

## Input

```json
{
  "operation": "get_video_comment_replies",
  "keyword": "露营",
  "sort_type": "all",
  "duration_range": "all",
  "object_id": "14904609835952900268",
  "object_nonce_id": "9684747497637272583_0_39_0_0",
  "comment_id": "14907607079615600739",
  "page_token": "***",
  "max_items": 50,
  "auto_paginate": true
}
```

## Output

```json
{
  "operation": {
    "label": "Operation",
    "format": "string"
  },
  "item_index": {
    "label": "Item index",
    "format": "integer"
  },
  "query_object_id": {
    "label": "Query object ID",
    "format": "string"
  },
  "query_comment_id": {
    "label": "Query comment ID",
    "format": "string"
  },
  "comment_id": {
    "label": "Comment ID",
    "format": "string"
  },
  "content": {
    "label": "Comment content",
    "format": "string"
  },
  "author_user_id": {
    "label": "Author user ID",
    "format": "string"
  },
  "author_name": {
    "label": "Author name",
    "format": "string"
  },
  "reply_to_comment_id": {
    "label": "Reply-to comment ID",
    "format": "string"
  },
  "reply_to_user_id": {
    "label": "Reply-to user ID",
    "format": "string"
  },
  "reply_to_user_name": {
    "label": "Reply-to user name",
    "format": "string"
  },
  "like_count": {
    "label": "Like count",
    "format": "integer"
  },
  "publish_time": {
    "label": "Publish time",
    "format": "integer"
  },
  "page_request_index": {
    "label": "Page request index",
    "format": "integer"
  },
  "page_has_more": {
    "label": "Page has more",
    "format": "boolean"
  }
}
```

## About this Actor

This example demonstrates how to use [微信视频号 / WeChat Channels API - 热搜、搜索、评论、用户数据](https://apify.com/socialdatax/socialdatax-wechat-data-api) with a specific input configuration. Visit the [Actor detail page](https://apify.com/socialdatax/socialdatax-wechat-data-api) to learn more, explore other use cases, and run it yourself.