YouTube
从youtube.com提取视频列表、创作者信息、播放量、互动数据(点赞 / 评论 / 分享)、视频分类、发布时间、粉丝数量等数据。
11 个工具更新时间 2026.05.13
概览
工具简介
通过频道URL采集Youtube视频帖子
分类标签
社交媒体
请求参数
| 参数名 | 说明 |
|---|---|
| 起始条数 | 该参数用于指定从第几条视频开始采集信息。 |
| 排序方式 | 选择帖子排序方式:最新、最热门或最旧 |
| 频道Video URL | 输入特定频道的Video URL 以获取该频道发布的视频。 |
| 帖子数量 | 此参数用于指定要采集的帖子数量。如果不指定,默认最多采集10w条帖子信息。 |
返回字段
| 字段名 | 类型 | 说明 |
|---|---|---|
| avatar_img_channel | Url | YouTube频道头像图像的URL |
| channelName | Text | 频道名称 |
| channelUrl | Url | YouTube频道的网络地址 |
| chapters | Array | - |
| codecs | Text | 来自视频统计信息的编解码器 |
| color | Text | 来自视频统计信息的颜色 |
| commentsCount | Text | 评论数 |
| commentsTurnedOff | Boolean | 是否关闭评论 |
| current_optimal_res | Text | 来自视频统计信息的当前/最佳分辨率 |
| date | Text | 日期 |
| date_posted | Date | 视频发布日期 |
| description | Text | 视频附带的文本描述 |
| descriptionLinks | Array | 描述链接 |
| discovery_input | Object | - |
| formatted_transcript | Array | 带时间格式的转录文本 |
| handle_name | Text | 与YouTube频道关联的句柄或唯一标识符 |
| hashtags | Array | - |
| id | Text | ID |
| input | Text | 输入 |
| is_sponsored | Boolean | 指示视频是否为赞助内容 |
| isMonetized | Boolean | 是否变现 |
| license | Url | 知识共享署名许可 |
| likes | Number | 视频获得的点赞数 |
| location | Text | 位置 |
| music | Object | 视频中使用的音乐信息 |
| next_recommended_videos | Array | - |
| num_comments | Number | 视频上的评论数(评论和回复,按YouTube统计方式) |
| numberOfSubscribers | Text | 订阅者数量 |
| post_type | Text | 帖子类型 |
| preview_image | Image | 视频预览图像的URL |
| quality | Text | - |
| quality_label | Text | - |
| recommended_videos | Array | - |
| related_videos | Array | 相关视频URL列表 |
| shortcode | Text | 与YouTube短视频关联的短代码 |
| subscribers | Number | YouTube频道的订阅者数量 |
| subtitles | Null | 字幕 |
| tags | Array | 视频标签 |
| thumbnailUrl | Text | 缩略图网址 |
| title | Text | YouTube视频标题 |
| transcript | Text | 视频转录文本 |
| transcript_language | Array | - |
| transcription_language | Text | 视频的转录语言 |
| url | Url | URL |
| verified | Boolean | 指示频道是否经过验证 |
| video_id | Text | YouTube视频的唯一标识符 |
| video_length | Number | 视频时长 |
| video_supported_audio_languages | Null | 视频支持音频语言 |
| video_supported_languages | Null | 视频支持语言 |
| video_url | Url | YouTube视频的网络地址 |
| viewCount | Text | 观看次数 |
| viewport_frames | Text | 来自视频统计信息的视口/帧 |
| views | Number | 视频获得的观看次数 |
| youtuber | Text | 上传视频的YouTube用户名或频道名称 |
| youtuber_id | Text | - |
| youtuber_md5 | Text | 此字段存储youtuber字段的MD5哈希值 |
示例响应
JSON 预览
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[ { "title": "World’s First General-Purpose Cerebellum GPT Foundation Model for Humanoid Robots: AstraBrain-WBC0.5", "id": "iNBvCLjOmVw", "url": "https://www.youtube.com/watch?v=iNBvCLjOmVw", "thumbnailUrl": "https://yt3.ggpht.com/ZxvDraFJbBvP9wJDmcVCuRqU9evkPCE3rIL9NzYPPQgzJugGySHi-_zQ9v8n9iyI1pSmalx3D7Y=s176-c-k-c0x00ffffff-no-rj", "viewCount": "2,778,116 views", "date": "Jun 22, 2026", "likes": "559", "location": "en_US", "channelName": "Galbot", "channelUrl": "https://www.youtube.com/@GalbotRobotics", "numberOfSubscribers": "529 thousand subscribers", "duration": 42, "commentsCount": "3", "text": "Trained on 20,000 hours of human motion data — the largest-scale dataset to date — AstraBrain-WBC 0.5 marks the first validation of Scaling Law in the field of humanoid robot motion control, demonstrating that a robot’s motion control capabilities can continue to improve with data scale, just like large AI models.\n\nMore importantly, the model enables real humanoid robots to execute a wide range of unseen motions through zero-shot generalization for the first time. Humanoid motion control is beginning to move beyond the traditional paradigm of “learning one motion, performing one motion,” and toward a foundation model approach capable of continuous generalization and evolution.", "descriptionLinks": [ "Product information and related details." ], "subtitles": "Wireless Noise Cancelling Headphones", "video_supported_languages": "en-US", "video_supported_audio_languages": "en-US", "isMonetized": false, "commentsTurnedOff": false, "discovery_input": { "order_by": "Order by value" }, "success": true, "input": "https://www.youtube.com/@GalbotRobotics/videos", "error": "Error value", "error_code": "ID-20260115-001" } ]
