LinkedIn 帖子搜索 API

curl -G "https://api.dataxapi.com/v1/linkedin/posts/search" \
  --data-urlencode "query=ai agents" \
  -H "Authorization: Bearer $DATAXAPI_API_KEY"

{
  "code": "ok",
  "request_id": "31e7c390-8677-479d-9789-e894edffebc5",
  "data": {
    "items": [
      {
        "id": "7746367938891236722",
        "url": "https://www.linkedin.com/feed/update/urn:li:activity:7746367938891236722",
        "text": "My honest take on ai agents, a month in.",
        "published_at": "2025-07-06T15:55:27.089Z",
        "author": {
          "username": "fieldnotes_studio",
          "name": "Field Notes Studio",
          "avatar_url": "https://media.licdn.com/dms/image/v2/nhOgVxi5Ro8e7Q5e/profile-displayphoto-shrink_100_100/0/",
          "followers": 237136
        },
        "metrics": { "likes": 404, "comments": 74 },
        "images": [
          "https://media.licdn.com/dms/image/v2/TxgG00Xt_GhfRtT1/feedshare-shrink_800/0/",
          "https://media.licdn.com/dms/image/v2/KeBZgF4hgJnZo2l9/feedshare-shrink_800/0/",
          // … 另有 11 条
        ]
      },
      // … 另有 9 条
    ]
  },
  "page": {
    "next_cursor": "c1.uZZ4-Kat5BWrnBm-xU1hzA6XluT7DQag81tXGfc4",
    "cursor_expires_at": "2026-10-12T20:00:44.000Z",
    "has_more": true,
    "returned": 10
  },
  "warnings": [],
  "meta": {
    "capability": "linkedin.posts.search",
    "result_status": "complete",
    "fetched_at": "2026-10-12T19:00:44.000Z",
    "cached": false,
    "replayed": false,
    "unavailable": {
      "type": "capability",
      "title": "capability",
      "lang": "capability",
      "author.id": "capability",
      "author.verified": "capability",
      "metrics.shares": "capability",
      "metrics.favorites": "platform",
      "metrics.views": "capability",
      "metrics.reposts": "capability",
      "hashtags": "capability",
      "mentions": "capability",
      "is_pinned": "capability",
      "post_id": "platform",
      "parent_id": "platform",
      "root_id": "platform"
    },
    "billing": {
      "amount": "0.002",
      "currency": "USD",
      "balance_after": "9.998"
    }
  }
}

取自 2026-10-12 19:00 UTC 录下的真实返回。名字、正文和编号是示例，链接也是，都不是录到的原文（页面不展示任何人的个人信息）；数字是原样。长列表做了截断。请求号、游标和余额是示意。

返回大小：标准档 24.6 KB（精简 8.8 KB，完整 24.6 KB）。

{
  "code": "ok",
  "request_id": "52b582bf-5569-4ecb-bd58-ab8d2c9e5246",
  "data": { "items": [] },
  "page": {
    "next_cursor": null,
    "cursor_expires_at": null,
    "has_more": false,
    "returned": 0
  },
  "warnings": [],
  "meta": {
    "capability": "linkedin.posts.search",
    "result_status": "empty",
    "fetched_at": "2026-10-12T19:04:55.000Z",
    "cached": false,
    "replayed": false,
    "unavailable": {
      "type": "capability",
      "title": "capability",
      "lang": "capability",
      "author.id": "capability",
      "author.verified": "capability",
      "metrics.shares": "capability",
      "metrics.favorites": "platform",
      "metrics.views": "capability",
      "metrics.reposts": "capability",
      "hashtags": "capability",
      "mentions": "capability",
      "is_pinned": "capability",
      "post_id": "platform",
      "parent_id": "platform",
      "root_id": "platform"
    },
    "billing": { "amount": "0", "currency": "USD", "balance_after": "10" }
  }
}

取自 2026-10-12 19:04 UTC 录下的真实返回。请求号和余额是示意。

返回大小：标准档 779 B（精简 779 B，完整 779 B）。

curl -G "https://api.dataxapi.com/v1/linkedin/posts/search" \
  --data-urlencode "query=ai agents" \
  -H "Authorization: Bearer $DATAXAPI_API_KEY"

from dataxapi import DataXAPI

dx = DataXAPI()  # reads DATAXAPI_API_KEY
result = dx.linkedin.posts.search(query="ai agents")
print(result["data"]["items"])

import { DataXAPI } from "@dataxapi/sdk";

const dx = new DataXAPI(); // reads DATAXAPI_API_KEY
const result = await dx.linkedin.posts.search({ query: "ai agents" });
console.log(result.data.items);

dataxapi call linkedin.posts.search 'query=ai agents'

{
  "mcpServers": {
    "dataxapi": {
      "type": "http",
      "url": "https://api.dataxapi.com/mcp",
      "headers": {
        "Authorization": "Bearer ${DATAXAPI_API_KEY}"
      }
    }
  }
}

把这段加进你的 MCP 客户端，然后让你的 AI 调用 linkedin.posts.search。