LinkedIn 视频字幕 API

{
  "code": "ok",
  "request_id": "4bc7f202-f7e9-4aab-94ce-f8dca608349a",
  "data": {
    "item": {
      "post_id": "7722024789030541551",
      "text": "Hey everyone, today I am going through what I packed for weekend hiking. Short version: light, fits in one bag, hard to break. Let's go piece by piece."
    }
  },
  "warnings": [],
  "meta": {
    "capability": "linkedin.posts.transcript.get",
    "result_status": "complete",
    "fetched_at": "2026-10-12T21:57:37.000Z",
    "cached": false,
    "replayed": false,
    "unavailable": { "lang": "capability", "segments": "capability" },
    "billing": {
      "amount": "0.002",
      "currency": "USD",
      "balance_after": "9.998"
    }
  }
}

取自 2026-10-12 21:57 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 2.3 KB（精简 978 B，完整 2.3 KB）。

curl -G "https://api.dataxapi.com/v1/linkedin/posts/transcript/get" \
  --data-urlencode "id=7514958241034817537" \
  -H "Authorization: Bearer $DATAXAPI_API_KEY"

from dataxapi import DataXAPI

dx = DataXAPI()  # reads DATAXAPI_API_KEY
result = dx.linkedin.posts.transcript.get(id="7514958241034817537")
print(result["data"]["item"])

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

const dx = new DataXAPI(); // reads DATAXAPI_API_KEY
const result = await dx.linkedin.posts.transcript.get({ id: "7514958241034817537" });
console.log(result.data.item);

dataxapi call linkedin.posts.transcript.get id=7514958241034817537

{
  "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.transcript.get。