LinkedIn-Beiträge suchen (vollständig)-API

{
  "found": true,
  "data": {
    "posts": [
      {
        "id": "7283456789012345678",
        "url": "https://www.linkedin.com/feed/update/urn:li:activity:7283456789012345678",
        "text": "We just open-sourced our evaluation harness for agentic AI systems. Three months of internal dogfooding baked in.",
        "createdUtc": 1758931200,
        "author": {
          "id": "ACoAAAbcdef1234",
          "name": "Priya Natarajan",
          "headline": "Head of AI Research at Solstice Labs",
          "profileUrl": "https://www.linkedin.com/in/priya-natarajan-ai",
          "image": "https://media.licdn.com/dms/image/D4E03AQPriyaProfile/profile-displayphoto-shrink_800_800/0/1701000000004?e=1735689600",
          "publicIdentifier": "priya-natarajan-ai",
          "type": "person"
        },
        "engagement": {
          "reactions": 1842,
          "comments": 96,
          "reposts": 213,
          "breakdown": [
            {
              "type": "LIKE",
              "count": 1490
            },
            {
              "type": "PRAISE",
              "count": 220
            },
            {
              "type": "INTEREST",
              "count": 132
            }
          ]
        },
        "attachmentType": "article",
        "attachmentTitle": "Open-sourcing our agent evaluation harness",
        "attachmentSubtitle": "solsticelabs.ai",
        "attachmentUrl": "https://solsticelabs.ai/blog/agent-eval-harness",
        "attachmentDescription": "A look at how we test multi-step agents before they reach production.",
        "attachmentImage": "https://media.licdn.com/dms/image/D4E0BAQSolsticeArticle/feedshare-shrink_800/0/1701000000005?e=1735689600"
      },
      {
        "id": "7283109876543210987",
        "url": "https://www.linkedin.com/feed/update/urn:li:activity:7283109876543210987",
        "text": "",
        "createdUtc": 1758758400,
        "author": {
          "id": "urn:li:organization:9182734",
          "name": "Cortex Analytics",
          "headline": "48,910 followers",
          "profileUrl": "https://www.linkedin.com/company/cortex-analytics",
          "image": "https://media.licdn.com/dms/image/D560BAQCortexLogo/company-logo_200_200/0/1701000000006?e=1735689600",
          "publicIdentifier": "cortex-analytics",
          "type": "company"
        },
        "engagement": {
          "reactions": 340,
          "comments": 12,
          "reposts": 28,
          "breakdown": [
            {
              "type": "LIKE",
              "count": 310
            },
            {
              "type": "SUPPORT",
              "count": 30
            }
          ]
        },
        "attachmentType": "poll",
        "pollQuestion": "Which part of the ML lifecycle wastes your team the most time?",
        "pollTotalVotes": 612,
        "pollClosed": false,
        "pollOptions": [
          {
            "text": "Labeling data",
            "votes": 201
          },
          {
            "text": "Feature engineering",
            "votes": 158
          },
          {
            "text": "Eval and monitoring",
            "votes": 253
          }
        ]
      }
    ]
  }
}