LinkedIn people profiles
姓名、职位、城市、国家、当前公司、工作经历、关注者和精选联系方式字段。
持续更新的公开网页数据,干净、结构化并符合合规要求,经过准确性验证,可在需要时立即连接到你的工具。
通过样本记录、字段覆盖透明度和可扩展交付选项,更快评估、购买并接入数据集。
姓名、职位、城市、国家、当前公司、工作经历、关注者和精选联系方式字段。
商家名称、类别、完整地址、坐标、电话、网站、评分、营业时间和商家详情。
公司名称、国家、地点、员工规模、关注者、公司介绍、行业标签和专业领域。
商品标题、品牌、卖家、价格、货币、库存、评分、评论数量和类别字段。
帖子内容、发布时间、点赞、评论、分享、话题标签、作者详情和互动指标。
用户名、主页 ID、粉丝数、帖子数、认证状态、账号类型、简介和链接数据。
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。

利用全球住宅代理网络和企业级基础设施,为你打造安全、合规的数据方案。


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.

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Leader Small Business

Best Enterprise Solution

Best Relationship

Leader Enterprise

Best Ease Of Use
Thordata 数据集是来自多个领域的文本、图片和视频多模态数据集合,旨在支持 AI 模型训练与开发。
数据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。
根据数据类型,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数据,也可以使用算法处理异常值;Thordata 会提供相关建议。
支持,Thordata 数据集支持多种语言,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。