LinkedIn people profiles
姓名、職位、城市、國家、目前公司、工作經歷、追蹤者及精選聯絡欄位。
持續更新的公開網頁數據,乾淨、結構化並符合合規要求,經過準確性驗證,可在需要時立即連接至你的工具。
透過樣本記錄、欄位覆蓋透明度和可擴展交付選項,更快評估、購買並整合數據集。
姓名、職位、城市、國家、目前公司、工作經歷、追蹤者及精選聯絡欄位。
商家名稱、類別、完整地址、座標、電話、網站、評分、營業時間及商家詳情。
公司名稱、國家、地點、員工規模、追蹤者、公司介紹、行業標籤及專業領域。
商品標題、品牌、賣家、價格、貨幣、庫存、評分、評論數量及類別欄位。
帖子內容、發佈時間、讚好、留言、分享、話題標籤、作者詳情及互動指標。
使用者名稱、主頁 ID、粉絲數、帖子數、認證狀態、帳戶類型、簡介及連結數據。
使用真实记录数、市场分布和关键字段完整度判断业务可用性,不再依赖笼统的规模宣传。

通过样本记录和字段字典,在购买前降低不确定性。

1 亿+住宅 IP · 零封锁率
实时提取 · 已验证 Schema
JSON、CSV、Excel 与云同步
面向通用场景的标准数据包,Schema 与字段已预先构建。下单后即可使用,适合快速验证和中小规模采用。
针对具体业务、行业或训练目标提供数据工程:自定义字段、范围、过滤规则和交付频率,让数据匹配你的需求与约束。
适合构建潜客名单、丰富公司与联系人记录,并识别目标市场中的关键人物和组织。
LinkedIn 人物、Instagram 主页等。

利用全球住宅代理網絡和企業級基礎設施,為你打造安全、合規的數據方案。


Our team used to spend countless hours manually extracting leads from various platforms. With Thordata's integration, it takes just minutes. It saves us 10+ hours every week and supercharges our entire sales pipeline.

The biggest advantage of the LinkedIn dataset for us was being able to validate talent and company distribution in a market without starting from scratch. The time savings were substantial.

Finally, a tracking tool that actually delivers. We monitor thousands of SKUs across major retail sites. The pay-per-result model is a game-changer for our budget—failed requests cost nothing, making it completely risk-free.

What stood out most to us in the Google Maps dataset was the completeness of address, coordinate, and core business fields. For local business intelligence and regional research, this kind of structured data is incredibly useful.

What we valued most was the transparency around coverage and field completeness. Being able to review the sample first, then inspect the schema, made internal evaluation much smoother.

Stability and support are everything to us. Not only is Thordata's proxy network remarkably robust, but their support team responds within minutes whenever we need custom assistance. A truly reliable partner.

Our team used to spend countless hours manually extracting leads from various platforms. With Thordata's integration, it takes just minutes. It saves us 10+ hours every week and supercharges our entire sales pipeline.

The biggest advantage of the LinkedIn dataset for us was being able to validate talent and company distribution in a market without starting from scratch. The time savings were substantial.

Finally, a tracking tool that actually delivers. We monitor thousands of SKUs across major retail sites. The pay-per-result model is a game-changer for our budget—failed requests cost nothing, making it completely risk-free.

What stood out most to us in the Google Maps dataset was the completeness of address, coordinate, and core business fields. For local business intelligence and regional research, this kind of structured data is incredibly useful.

What we valued most was the transparency around coverage and field completeness. Being able to review the sample first, then inspect the schema, made internal evaluation much smoother.

Stability and support are everything to us. Not only is Thordata's proxy network remarkably robust, but their support team responds within minutes whenever we need custom assistance. A truly reliable partner.

ISO 27001

Leader Small Business

Best Enterprise Solution

Best Relationship

Leader Enterprise

Best Ease Of Use
Thordata 數據集是来自多个领域的文本、图片和视频多模态數據集合,旨在支援 AI 模型训练与开发。
數據集通常用于电商监控、社交媒体分析、AI 训练、金融风险控制和行业研究。
根据數據类型,通常提供 CSV、JSON、NDJSON、JPEG/PNG 图片和 MP4 视频等格式。
用户可以填充或删除缺失數據,也可以使用算法处理异常值;Thordata 会提供相关建议。
支援,Thordata 數據集支援多种语言,适合全球用户。
用户可以使用交叉验证、混淆矩阵和 F1 分数等指标评估模型表现并进行调优。