> ## Documentation Index
> Fetch the complete documentation index at: https://docs.socq.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# LinkedIn 个人资料

> 采集公共 LinkedIn 个人资料数据。

# LinkedIn 简介

```json theme={"system"}
{
  "urls": ["https://www.linkedin.com/in/example"]
}
```

## 与 MCP 一起使用

| 接口          | 值                                                 |
| ----------- | ------------------------------------------------- |
| REST        | `POST /v1/linkedin/profiles`                      |
| Compact MCP | `socq_execute` 与 `endpoint: "linkedin/profiles"`  |
| Typed MCP   | `socq_linkedin_profiles`                          |
| 精确工具 URL    | `https://api.socq.ai/mcp?tools=linkedin_profiles` |
| CLI         | `socq linkedin profiles`                          |

使用上面的 JSON 请求正文作为 `socq_execute` 的嵌套 `input` 对象，或将相同的字段直接传递给Typed 工具。Typed 工具还接受 `_wait_seconds`、`_result_limit` 和 `_idempotency_key`。

<Info>
  成功的采集将返回 `task_id`。继续 `socq_get_task` 直到任务成功，然后从 `results.items` 读取规范化记录。
</Info>

有关完整的提交和轮询流程，请参阅[MCP 快速入门](/zh/integrations/mcp)。

结果使用 `platform="linkedin"`、`resource="profiles"` 和 `type="profile"`。个人资料经验、教育背景、地点和公司详细信息将在 `extra` 下返回。

## 任务完成响应

```json theme={"system"}
{
  "code": 200,
  "data": {
    "task_id": "A1B2C3D4E5F6G7H8",
    "status": "succeeded",
    "public_id": "linkedin/profiles",
    "result_count": 1,
    "credits_amount": 2.5,
    "results": {
      "limit": 50,
      "next_cursor": null,
      "has_more": false,
      "items": [{
        "id": "example-profile",
        "platform": "linkedin",
        "resource": "profiles",
        "type": "profile",
        "url": "https://www.linkedin.com/in/example",
        "name": "Example Person",
        "description": "Product and technology leader",
        "avatar_url": "https://example.com/profile.jpg",
        "metrics": {"followers_count": 12500, "connections_count": 500},
        "created_at": null,
        "collected_at": "2026-07-17T10:30:00",
        "extra": {"city": "San Francisco", "country_code": "US", "position": "Founder"}
      }]
    }
  }
}
```


## OpenAPI

````yaml api-manual/agent-api/agent-api.json POST /v1/linkedin/profiles
openapi: 3.1.0
info:
  title: SocQ Agent API
  version: v1-57489840196e
  description: Asynchronous social data API generated from the SocQ Capability Registry.
servers:
  - url: https://api.socq.ai
security: []
paths:
  /v1/linkedin/profiles:
    post:
      tags:
        - linkedin
      summary: LinkedIn Profiles API
      description: LinkedIn Profiles API
      operationId: socq_linkedin_profiles
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $schema: https://json-schema.org/draft/2020-12/schema
              type: object
              additionalProperties: false
              properties:
                urls:
                  type: array
                  items:
                    type: string
                    minLength: 1
                  minItems: 1
                  description: Public profile or content URLs.
              required:
                - urls
      responses:
        '200':
          description: Task accepted
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/AgentSubmitResponse'
      security:
        - bearerAuth: []
        - apiKeyAuth: []
components:
  schemas:
    AgentSubmitResponse:
      type: object
      properties:
        code:
          type: integer
          const: 200
        data:
          type: object
          properties:
            task_id:
              type: string
            status:
              type: string
            created_time:
              type:
                - string
                - 'null'
            idempotent_replay:
              type: boolean
          required:
            - task_id
            - status
  securitySchemes:
    bearerAuth:
      type: http
      scheme: bearer
    apiKeyAuth:
      type: apiKey
      in: header
      name: x-api-key

````