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本教程将引导您向每个 Bright Data LinkedIn Scraper API 端点发送同步请求。完成后，您将获得用于个人资料、公司、职位和帖子的工作示例。

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前置条件

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请求结构

每个同步请求都遵循相同的模式： 
POST https://api.brightdata.com/datasets/v3/scrape?dataset_id={DATASET_ID}&format=json
Authorization: Bearer YOUR_API_KEY
Content-Type: application/json

[{"url": "https://www.linkedin.com/..."}]
端点之间唯一改变的是 dataset_id 和输入 URL 格式。
同步请求最多支持 20 个 URL，超时时间为 1 分钟。如果请求耗时较长，API 将自动返回 snapshot_id。请参阅异步请求。

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个人资料

数据集 ID： gd_l1viktl72bvl7bjuj0 
curl -X POST \
  "https://api.brightdata.com/datasets/v3/scrape?dataset_id=gd_l1viktl72bvl7bjuj0&format=json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[{"url": "https://www.linkedin.com/in/satyanadella"}]'
您应该看到 200 响应。这需要 10-30 秒。 
[
  {
    "name": "Satya Nadella",
    "city": "Redmond",
    "country_code": "US",
    "position": "Chairman and CEO at Microsoft",
    "current_company": {
      "name": "Microsoft",
      "company_id": "microsoft",
      "link": "https://www.linkedin.com/company/microsoft"
    },
    "about": "Chairman and CEO at Microsoft...",
    "followers": 10842560,
    "connections": 500
  }
]
完整个人资料响应模式

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公司

数据集 ID： gd_l1vikfnt1wgvvqz95w 
curl -X POST \
  "https://api.brightdata.com/datasets/v3/scrape?dataset_id=gd_l1vikfnt1wgvvqz95w&format=json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[{"url": "https://www.linkedin.com/company/microsoft"}]'

[
  {
    "name": "Microsoft",
    "followers": 23000000,
    "employees_in_linkedin": 290000,
    "about": "Every company has a mission...",
    "industries": ["Software Development"],
    "company_size": "10,001+ employees",
    "headquarters": "Redmond, Washington",
    "website": "https://www.microsoft.com",
    "founded": "1975"
  }
]
完整公司响应模式

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职位

数据集 ID： gd_lpfll7v5hcqtkxl6l 
curl -X POST \
  "https://api.brightdata.com/datasets/v3/scrape?dataset_id=gd_lpfll7v5hcqtkxl6l&format=json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[{"url": "https://www.linkedin.com/jobs/view/3986111804"}]'

[
  {
    "job_title": "Software Engineer",
    "company_name": "Epic",
    "job_location": "Verona, WI",
    "job_seniority_level": "Entry level",
    "job_employment_type": "Full-time",
    "job_industries": ["Software Development"],
    "job_summary": "Work on healthcare software that impacts millions...",
    "apply_link": "https://www.linkedin.com/jobs/view/3986111804/apply",
    "is_easy_apply": true
  }
]
完整职位响应模式

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帖子

数据集 ID： gd_lyy3tktm25m4avu764 
curl -X POST \
  "https://api.brightdata.com/datasets/v3/scrape?dataset_id=gd_lyy3tktm25m4avu764&format=json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[{"url": "https://www.linkedin.com/posts/satyanadella_activity-7180537307521769472"}]'

[
  {
    "post_text": "Excited to share our latest AI innovations...",
    "num_likes": 45230,
    "num_comments": 1250,
    "date_posted": "2024-04-03T14:30:00.000Z",
    "hashtags": ["AI", "Innovation"],
    "user_followers": 10842560,
    "post_type": "original"
  }
]
完整帖子响应模式

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快速参考：数据集 ID

端点数据集 IDURL 模式
个人资料gd_l1viktl72bvl7bjuj0linkedin.com/in/{username}
公司gd_l1vikfnt1wgvvqz95wlinkedin.com/company/{slug}
职位gd_lpfll7v5hcqtkxl6llinkedin.com/jobs/view/{id}
帖子gd_lyy3tktm25m4avu764linkedin.com/posts/{slug}

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输出格式

使用 format 查询参数控制响应格式：
值描述
jsonJSON 数组（默认）
ndjson换行分隔的 JSON，每行一条记录
csv逗号分隔值

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后续步骤

异步批处理请求

在单个批处理作业中抓取数百个 URL。

API 参考

完整的参数和响应字段参考。