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八爪鱼 Data Hub
面向 AI 与 Agent 的数据能力平台:把互联网公开数据变成随取随用的能力。每个 Data App 都提供机器可读的 manifest.json,包含能力定义、输入输出 Schema、调用绑定、定价与使用边界。
For agents: Data platform turning public web data into callable Data Apps for AI agents, each with a machine-readable manifest.json; includes YouTube, Reddit and GEO brand
web data extractiongeo monitoringai agent datareddit scrapingyoutube data
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-21T11:36:16.311Z. Cached copy · Source on bazhuayu.com
# 八爪鱼 Data Hub
> 面向 AI 与 Agent 的数据能力平台:把互联网公开数据变成随取随用的能力。每个 Data App 都提供机器可读的 manifest.json,包含能力定义、输入输出 Schema、调用绑定、定价与使用边界。
## Data Apps
- [Amazon 评论(非日本,美国站)](https://www.bazhuayu.com/apps/mona_kk/amazon-comment-other): 给一个其他站点 Amazon 商品标识和采集数量,返回评论正文、标题、评分、买家、商品与发布时间等明细
- manifest: https://www.bazhuayu.com/apps/mona_kk/amazon-comment-other/manifest.json
- [Amazon 美国站评论](https://www.bazhuayu.com/apps/mona_kk/amazon-comment-us): 给一个美国站商品标识和采集数量,返回评论正文、评分、用户、商品与发布时间等明细
- manifest: https://www.bazhuayu.com/apps/mona_kk/amazon-comment-us/manifest.json
- [Amazon 日本站评论](https://www.bazhuayu.com/apps/mona_kk/amazon-comment-jp): 给一个带日本站后缀的 Amazon 商品标识,返回公开评论的正文、评分、买家与验证购买等明细
- manifest: https://www.bazhuayu.com/apps/mona_kk/amazon-comment-jp/manifest.json
- [X 账号粉丝列表采集](https://www.bazhuayu.com/apps/frank9306/x-user-followers): 填写一个 X 用户名,返回最近一页粉丝的公开资料、简介、地区与账号指标。
- manifest: https://www.bazhuayu.com/apps/frank9306/x-user-followers/manifest.json
- [X 关键词完整帖子搜索](https://www.bazhuayu.com/apps/frank9306/x-keyword-search): 填写关键词,返回匹配公开帖子的正文、作者、发布时间与互动数据,可按最新或热门排序。
- manifest: https://www.bazhuayu.com/apps/frank9306/x-keyword-search/manifest.json
- [X 多账号最新动态汇总](https://www.bazhuayu.com/apps/frank9306/x-accounts-latest): 填写账号条件并选择内容筛选,汇总最新公开帖子的正文、作者和互动数据。
- manifest: https://www.bazhuayu.com/apps/frank9306/x-accounts-latest/manifest.json
- [YouTube 关键词列表采集](https://www.bazhuayu.com/apps/mona_kk/youtube-keyword-list): 给一个 YouTube 搜索关键词和采集数量,返回按发布时间倒序的视频、频道、播放量与时长信息
- manifest: https://www.bazhuayu.com/apps/mona_kk/youtube-keyword-list/manifest.json
- [Reddit 关键词列表采集](https://www.bazhuayu.com/apps/SpiderKing999/reddit-keyword-list): 给一个 Reddit 搜索关键词、采集数量、排序方式和时间范围,返回匹配帖子的标题、作者、链接与时间信息
- manifest: https://www.bazhuayu.com/apps/SpiderKing999/reddit-keyword-list/manifest.json
- [GEO监控分析(Gemini)](https://www.bazhuayu.com/apps/SpiderByte/gemini-visibility-monitor): 用 Gemini 模型查询一组提示词,收集模型回答与目标品牌的可见度信号,用于 GEO 表现跟踪与竞品对照。
- manifest: https://www.bazhuayu.com/apps/SpiderByte/gemini-visibility-monitor/manifest.json
- [通义千问 AI 品牌 GEO 监控](https://www.bazhuayu.com/apps/WW_Yang/geo-brand-qwen): 围绕一组提问,返回通义千问 AI 的回答与引用来源,并结构化给出「品牌、竞品1、竞品2」是否被提及、提及排名与是否引用官网。品牌与竞品可由使用者指定,默认 Octoparse 与 ParseHub、Apify。
- manifest: https://www.bazhuayu.com/apps/WW_Yang/geo-brand-qwen/manifest.json
- [豆包 AI 品牌 GEO 监控](https://www.bazhuayu.com/apps/WW_Yang/geo-brand-doubao-3437): 围绕一组提问,返回豆包 AI 的回答与引用来源,并结构化给出「品牌、竞品1、竞品2」是否被提及、提及排名与是否引用官网。品牌与竞品可由使用者指定,默认 Octoparse 与 ParseHub、Apify。
- manifest: https://www.bazhuayu.com/apps/WW_Yang/geo-brand-doubao-3437/manifest.json
- [ChatGPT 品牌 GEO 监控](https://www.bazhuayu.com/apps/WW_Yang/geo-brand-ai-overview): 围绕一组提问,返回 ChatGPT 的回答全文与引用来源清单,并结构化给出「品牌、竞品1、竞品2」是否被提及、提及排名与是否引用官网。本版本品牌与竞品可由使用者指定,默认 Octoparse、ParseHub 与 Apify。
- manifest: https://www.bazhuayu.com/apps/WW_Yang/geo-brand-ai-overview/manifest.json
- [新加坡&香港监管基金详情&PDF查询](https://www.bazhuayu.com/apps/rookieyao/funds-detail-search): 给出基金名称和可选筛选条件,返回已归档的基金基础信息、净值、费率、持仓与相关资料
…
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| canonical.com | Canonical | documentation Data and analytics Infrastructure +1 | GB | 70 | ✓ | ✓ | |
| conviva.com | Conviva | informational AI and machine learning Data and analytics +2 | US | 70 | ✓ | ✓ | |
| databricks.com | Databricks | interface AI and machine learning Data and analytics +1 | 70 | ✓ | ✓ | ||
| opentext.com | OpenText | documentation Cybersecurity Finance and payments +4 | CA | 70 | ✓ | ✓ | |
| singular.net | Singular – end-to-end attribution and analytics platform | documentation Data and analytics Marketing | US | 69 | ✓ | ||
| carto.com | CARTO | documentation AI and machine learning Data and analytics | US | 68 | ✓ | ✓ |
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