five

TikTok Organic Connector

收藏
Snowflake2025-07-09 更新2025-07-11 收录
下载链接:
https://app.snowflake.com/marketplace/listing/GZSYZ1M7BUM2
下载链接
链接失效反馈
官方服务:
资源简介:
TikTok Organic Connector — **Snowflake Native App by Windsor.ai** **Turn every view, like and comment from your organic TikTok feed into query-ready Snowflake tables—no scrapers, no CSVs, just instant SQL.**<br/>The connector taps the official TikTok Organic APIs and streams **19 metrics and 33 dimensions** (views, likes, shares, audience demographics, watch-time and more) directly into your warehouse, fully typed and governed by Snowflake’s own security. [windsor.ai](https://windsor.ai/data-field/tiktok_organic/) What the connector delivers - **Comprehensive organic KPIs** – impressions, video-view funnels, engagement actions, profile stats and audience splits. - **Typed, flat schemas** – never VARIANT; ready for Looker, Tableau, Power BI or Python. - **100 % in-warehouse execution** – ELT code runs inside your Snowflake account, inheriting RBAC, masking and audit trails. - **Hands-off maintenance** – Windsor.ai handles OAuth, historical back-fills, incremental syncs, schema evolution and retry logic. Set-up in under five minutes 1. **Install** “TikTok Organic Connector by Windsor.ai” from Snowflake Marketplace. 2. **OAuth** to the TikTok Business account(s) you manage. 3. **Select** profiles and look-back window (full history supported). 4. **Choose** refresh cadence—hourly, daily or custom cron. 5. Data lands in the database / schema you specify; Windsor.ai keeps it fresh and consistent. Sample tables & key fields (illustrative) - **TTORG_MEDIA_STATS_DAILY** — date, video_id, username, media_type, plays, likes, comments, shares, saves, avg_watch_time, engagement_rate - **TTORG_PROFILE_STATS_DAILY** — date, username, followers, following, videos_count, total_plays, likes_received, profile_views - **TTORG_AUDIENCE_DEMOGRAPHICS** — date, username, gender, age_range, country, audience_percentage, _load_timestamp - **TTORG_VIDEO_COMMENTS** — comment_id, video_id, username, text, like_count, sentiment_score, created_time
提供机构:
Windsor.ai
创建时间:
2025-07-02
原始信息汇总

TikTok Organic Connector 数据集概述

数据集基本信息

  • 名称: TikTok Organic Connector
  • 提供商: Windsor.ai
  • 访问权限: Free Unlimited Access
  • 类型: Snowflake Native App

数据集内容

  • 数据来源: 官方 TikTok Organic APIs
  • 指标数量: 19 个
  • 维度数量: 33 个
  • 关键指标: views, likes, shares, audience demographics, watch-time 等

主要功能

  • 全面的有机KPI: impressions, video-view funnels, engagement actions, profile stats, audience splits
  • 结构化数据: 扁平化架构,支持 Looker, Tableau, Power BI 或 Python
  • 全仓库执行: ELT 代码在 Snowflake 账户内运行,继承 RBAC、掩码和审计跟踪
  • 免维护: Windsor.ai 处理 OAuth、历史回填、增量同步、架构演进和重试逻辑

设置步骤

  1. 从 Snowflake Marketplace 安装 "TikTok Organic Connector by Windsor.ai"
  2. OAuth 到管理的 TikTok Business 账户
  3. 选择配置文件和回看窗口(支持完整历史)
  4. 选择刷新频率(每小时、每天或自定义 cron)
  5. 数据将存储在指定的数据库/架构中,由 Windsor.ai 保持更新

示例表及关键字段

  • TTORG_MEDIA_STATS_DAILY: date, video_id, username, media_type, plays, likes, comments, shares, saves, avg_watch_time, engagement_rate
  • TTORG_PROFILE_STATS_DAILY: date, username, followers, following, videos_count, total_plays, likes_received, profile_views
  • TTORG_AUDIENCE_DEMOGRAPHICS: date, username, gender, age_range, country, audience_percentage, _load_timestamp
  • TTORG_VIDEO_COMMENTS: comment_id, video_id, username, text, like_count, sentiment_score, created_time

商业需求

  • 实时有机性能跟踪: 每小时监控播放、点赞、分享和观看时间
  • 受众和趋势发现: 通过性别、年龄和国家分割识别新兴细分市场
  • 跨渠道ROI报告: 将有机 TikTok 指标与 Meta Ads, GA4, Shopify 或其他 Windsor.ai 来源混合

安全性

  • 安全审查: 已完成 Snowflake 安全审查
  • 基于角色的访问控制: 数据受 Snowflake RBAC 保护
  • 推荐权限: 安装后根据需要授予账户级别权限

提供商其他产品

  • Multitouch Attribution Data in Snowflake
  • HubSpot Connector
  • Facebook Page Insights Connector
  • Instagram Connector
  • Google Ads Connector
  • Facebook Ads Connector

类别

  • Marketing

联系方式

  • 销售: hello@windsor.ai
  • 支持: https://support.windsor.ai

云区域可用性

  • AWS: Africa (Cape Town), Asia Pacific (Jakarta), Asia Pacific (Mumbai), Asia Pacific (Osaka) 等 45 个区域

法律条款

  • Standard

关于提供商

Windsor.ai 帮助连接所有营销、分析、销售和 CRM 平台,并将数据流式传输到 Snowflake。

搜集汇总
数据集介绍
main_image_url
以上内容由遇见数据集搜集并总结生成
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作