integrations

List LinkedIn import jobs

Add MCP server to your AI tool

Allow AI tools and LLMs to interact with the API documentation portal through MCP.

MCP server URL

https://docs.usehearsay.com/mcp

Standard setup for AI tools providing an mcp.json file

mcp.json 
{
  "integrations MCP server": {
    "url": "https://docs.usehearsay.com/mcp"
  }
}
Close
GET /linkedin/{caseId}/import-jobs
Access token

Returns one page of LinkedIn import jobs for the case, optionally filtered by status.

Path parameters

  • caseId string Required

Query parameters

  • page number

    Default value is 1.

  • perPage number

    Default value is 10.

  • skip number

    If skip/limit not provided, page/perPage will take precedence

  • limit number

    If skip/limit not provided, page/perPage will take precedence

  • sortOrder string

    Values are asc or desc. Default value is asc.

  • status string

    Filter by job status

    Values are not_started, in_progress, completed, or failed.

Responses

  • 200 application/json
    Hide response attributes Show response attributes object
    • data object Required
      Hide data attributes Show data attributes object
      • total number Required
      • page number
      • perPage number
      • skip number
      • limit number
      • totalPages number Required
      • nextPage number | null Required
      • previousPage number | null Required
      • data array[object]
        Hide data attributes Show data attributes object
        • createdAt string(date-time) Required
        • updatedAt string(date-time) Required
        • id string Required
        • case object | null Required

          Not loaded by any route, so always null.

        • extractionCode object | null Required

          Not loaded by any route, so always null.

        • file object | null Required

          Not loaded by any route, so always null.

        • createdBy object | null Required

          Not loaded by any route, so always null.

        • status string Required

          Values are not_started, in_progress, completed, or failed.

        • startedAt string(date-time) | null Required
        • completedAt string(date-time) | null Required
        • failedAt string(date-time) | null Required
        • message string | null Required
        • linkedInUserProvider object | null Required

          Not loaded by any route, so always null.

        • selectedDataTypes array[string] Required
        • selectedConversationIds array[string] Required

          LinkedIn conversation ids the import was limited to; empty means all conversations.

        • stats object Required
    • statusCode number Required
    • timestamp string(date-time) Required
GET /linkedin/{caseId}/import-jobs 
curl \
 --request GET 'http://api.example.com/linkedin/{caseId}/import-jobs' \
 --header "Authorization: Bearer $ACCESS_TOKEN"
Response examples (200) 
{
  "data": {
    "total": 42,
    "page": 1,
    "perPage": 20,
    "skip": 0,
    "limit": 20,
    "totalPages": 3,
    "nextPage": 2,
    "previousPage": 42.0,
    "data": [
      {
        "createdAt": "2026-01-15T14:30:00.000Z",
        "updatedAt": "2026-01-15T14:30:00.000Z",
        "id": "507f1f77bcf86cd799439011",
        "case": {},
        "extractionCode": {},
        "file": {},
        "createdBy": {},
        "status": "not_started",
        "startedAt": "2026-01-15T14:25:00.000Z",
        "completedAt": "2026-01-15T14:30:00.000Z",
        "failedAt": "2026-05-04T09:42:00Z",
        "message": "Import failed",
        "linkedInUserProvider": {},
        "selectedDataTypes": [
          "messages",
          "connections"
        ],
        "selectedConversationIds": [
          "2-ZGVmYXVsdA=="
        ],
        "stats": {
          "conversations": 14,
          "messages": 320,
          "connections": 250,
          "comments": 12,
          "richMedia": 3,
          "savedItems": 5,
          "savedJobAlerts": 1,
          "savedJobs": 2,
          "jobApplications": 4
        }
      }
    ]
  },
  "statusCode": 200,
  "timestamp": "2026-01-15T10:15:00.000Z"
}