Meta 广告主搜索 API

{
  "code": "ok",
  "request_id": "f0edf122-e137-45dc-a006-e92f5a4e8d1a",
  "data": {
    "items": [
      {
        "id": "109302004765630",
        "name": "Lumen Outdoor",
        "avatar_url": "https://scontent.xx.fbcdn.net/v/t39.30808-1/487718865_122396809446085_n.jpg"
      },
      // … 另有 14 条
    ]
  },
  "page": {
    "next_cursor": null,
    "cursor_expires_at": null,
    "has_more": false,
    "returned": 15
  },
  "warnings": [],
  "meta": {
    "capability": "meta.advertisers.search",
    "result_status": "complete",
    "fetched_at": "2026-10-12T21:44:03.000Z",
    "cached": false,
    "replayed": false,
    "unavailable": { "region": "capability" },
    "billing": {
      "amount": "0.002",
      "currency": "USD",
      "balance_after": "9.998"
    }
  }
}

取自 2026-10-12 21:44 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 7.4 KB（精简 1.1 KB，完整 9.7 KB）。

{
  "code": "ok",
  "request_id": "6ae43f3b-7c31-46c9-a3b4-a0ef7bfadfc4",
  "data": { "items": [] },
  "page": {
    "next_cursor": null,
    "cursor_expires_at": null,
    "has_more": false,
    "returned": 0
  },
  "warnings": [],
  "meta": {
    "capability": "meta.advertisers.search",
    "result_status": "empty",
    "fetched_at": "2026-10-12T21:44:17.000Z",
    "cached": false,
    "replayed": false,
    "unavailable": { "region": "capability" },
    "billing": {
      "amount": "0.002",
      "currency": "USD",
      "balance_after": "9.998"
    }
  }
}

取自 2026-10-12 21:44 UTC 录下的真实返回。请求号和余额是示意。

返回大小：标准档 427 B（精简 427 B，完整 427 B）。

curl -G "https://api.dataxapi.com/v1/meta/advertisers/search" \
  --data-urlencode "query=puma" \
  -H "Authorization: Bearer $DATAXAPI_API_KEY"

from dataxapi import DataXAPI

dx = DataXAPI()  # reads DATAXAPI_API_KEY
result = dx.meta.advertisers.search(query="puma")
print(result["data"]["items"])

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

const dx = new DataXAPI(); // reads DATAXAPI_API_KEY
const result = await dx.meta.advertisers.search({ query: "puma" });
console.log(result.data.items);

dataxapi call meta.advertisers.search query=puma

{
  "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 meta.advertisers.search。