700M+ LinkedIn Profiles | 40+ Attributes Full Career History
收藏数据集概述:700M+ LinkedIn Profiles | 40+ Attributes Full Career History
数据集提供商
Success.ai
数据集特点
- 数据规模:700M+ LinkedIn专业 profiles
- 数据属性:40+ 属性,包括完整职业历史
- 数据验证:AI验证
- 更新频率:每日更新
- 地理覆盖:全球,城市级别
数据集内容
- 职业历史:包括工作历史、职位描述、技能、专利、许可证等
- 组织信息:包括组织名称、公开交易符号、交易所、最新融资轮次日期等
- 联系方式:包括原始地址、电话等
业务需求
- 身份解析:准确验证和匹配跨多个平台的专业身份
- 受众激活:利用详细专业数据进行高度定向广告和个性化推广
- 联系人数据丰富:增强现有CRM记录,包括职位、公司隶属关系、职业历史等
- 市场分析:分析劳动力趋势、行业变化和就业模式
使用示例
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查找近期融资的上市公司: sql SELECT ORGANIZATION_NAME, ORGANIZATION_PUBLICLY_TRADED_SYMBOL, ORGANIZATION_PUBLICLY_TRADED_EXCHANGE, ORGANIZATION_LATEST_FUNDING_ROUND_DATE, ORGANIZATION_LINKEDIN_URL FROM linkedin_profiles_full_career_700m WHERE ORGANIZATION_PUBLICLY_TRADED_SYMBOL IS NOT NULL AND ORGANIZATION_LATEST_FUNDING_ROUND_DATE >= 2022-01-01 ORDER BY ORGANIZATION_LATEST_FUNDING_ROUND_DATE DESC;
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按主要领域(行业/部门)统计组织数量: sql SELECT ORGANIZATION_PRIMARY_DOMAIN, COUNT(*) AS total_organizations FROM linkedin_profiles_full_career_700m GROUP BY ORGANIZATION_PRIMARY_DOMAIN ORDER BY total_organizations DESC;
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列出特定国家/地区有多个零售地点的组织: sql SELECT ORGANIZATION_NAME, ORGANIZATION_RETAIL_LOCATION_COUNT, ORGANIZATION_RAW_ADDRESS, ORGANIZATION_PHONE FROM linkedin_profiles_full_career_700m WHERE ORGANIZATION_RETAIL_LOCATION_COUNT > 10 AND ORGANIZATION_RAW_ADDRESS ILIKE %united states%;
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云区域可用性
- AWS:亚太(雅加达)、亚太(孟买)、亚太(大阪)、亚太(首尔)等44个区域
联系方式
- 销售:viktor@success.ai
- 支持:a.walla@success.ai



