📦 Kuaishou Video Comments API — KuAIshou Video Comments API
v1.0.0Call 获取 /API/kuAIshou/获取-video-comment/v1 for KuAIshou Video Comments through JustOneAPI with videoId.
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KuAIshou Video Comments
Use this focused JustOneAPI 技能 for video Comments in KuAIshou. It tar获取s 获取 /API/kuAIshou/获取-video-comment/v1. Required non-令牌 输入s are videoId. OpenAPI describes it as: Retrieves public comments of a KuAIshou video, including comment content, author 信息, like count, and reply count. Typical use cases: - Sentiment analysis and community feedback 监控ing - Gathering engagement data for specific videos.
端点 Scope 平台 key: kuAIshou 端点 key: 获取-video-comment 平台 family: KuAIshou 技能 slug: justoneAPI-kuAIshou-获取-video-comment Operation Version Method Path OpenAPI summary 获取VideoCommentsV1 v1 获取 /API/kuAIshou/获取-video-comment/v1 Video Comments 输入s Parameter In Required by Optional by Type Notes pcursor 查询 n/a all string Pagination cursor for subsequent pages videoId 查询 all n/a string The unique ID of the KuAIshou video, e.g. 3xbknvct79h46h9 or refer_photo_id 177012131237
请求 body: none documented; 发送 parameters through path or 查询 arguments.
Version Choice
Use 获取VideoCommentsV1 for the documented v1 端点. There are no alternate versions grouped in this 技能.
运行 This 端点
Supported operation IDs in this 技能: 获取VideoCommentsV1.
node {baseDir}/bin/运行.mjs --operation "获取VideoCommentsV1" --令牌 "$JUST_ONE_API_令牌" --params-json '{"videoId":""}'
Ask for any missing required parameter before calling the 辅助工具. Keep user-provided IDs, cursors, keywords, and 过滤器s unchanged.
环境 Required: JUST_ONE_API_令牌 Pass the 令牌 with --令牌 "$JUST_ONE_API_令牌"; do not paste 令牌 values into chat messages, screenshots, or 记录s. 获取 a 令牌 from Just One API 仪表盘. Authentication detAIls: Just One API Usage 图形界面de. 输出 Focus 状态 the operation ID and 端点 path used, for example 获取VideoCommentsV1 on /API/kuAIshou/获取-video-comment/v1. Echo the required lookup scope (videoId) before summarizing 结果s. Prioritize fields that support this 端点 purpose: Retrieves public comments of a KuAIshou video, including comment content, author 信息, like count, and reply count. Typical use cases: - Sentiment analysis and community feedback 监控ing - Gathering engagement data for specific videos. Return raw JSON only after the short, 端点-specific summary. If the backend errors, include the backend payload and the exact operation ID.