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

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。

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微信视频号 / WeChat Channels API - 视频搜索、评论 / comments、用户数据
微信视频号 / WeChat Channels API - 视频搜索、评论 / comments、用户数据socialdatax/socialdatax-wechat-data-api
Operation
Item index
Query object ID
Query comment ID
+11 fields
Text
Number
Boolean
List
Object

Input

视频 object_id / Object ID:14904609835952900268
视频 object_nonce_id / Object nonce ID:9684747497637272583_0_39_0_0
一级评论 ID / Comment ID:14907607079615600739
最大结果数 / Max items:20
自动翻页 / Auto paginate:true

Output fields

Operation
Item index
Query object ID
Query comment ID
Comment ID
Comment content
Author user ID
Author name
Reply-to comment ID
Reply-to user ID
Reply-to user name
Like count
Publish time
Page request index
Page has more

How it works

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The 微信视频号 / WeChat Channels API - 视频搜索、评论 / comments、用户数据 Actor is ready to run with the inputs already set for "微信视频号评论回复 API | WeChat Channels comment replies". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "微信视频号评论回复 API | WeChat Channels comment replies" task

The 微信视频号 / WeChat Channels API - 视频搜索、评论 / comments、用户数据 Actor will start running based on the input automatically. You can also change all the input fields, like 视频 object_id / object id, 视频 object_nonce_id / object nonce id, and more, to match your specific use case.

Receive the "微信视频号评论回复 API | WeChat Channels comment replies" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as operation, item index, query object id, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "微信视频号评论回复 API | WeChat Channels comment replies" task via API.

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