如何用接口查微信搜一搜的结果

用 1 个接口:微信搜一搜综合搜索。下面的示例一共 2 次调用,合计 $0.0400;失败的调用不收费。

拿到微信搜一搜里一个词的搜索结果,一页一页往下翻:公众号文章和视频号作品混在一起,每条有标题或文案、来源账号名称和发布时间;文章带链接,视频带点赞和收藏数。

第 1 步:微信搜一搜综合搜索

按 query 搜。每条的 type 说明是文章还是视频。sort 可以按相关、最新或最热排,published_within 只要最近一段时间的。翻下一页时把 page.next_cursor 作为 cursor 传进去,直到 page.has_more 为 false。

curl -G "https://api.dataxapi.com/v1/wechat/posts/search" \
  --data-urlencode "query=咖啡店开业" \
  -H "Authorization: Bearer $DATAXAPI_API_KEY"
# pip install dataxapi
from dataxapi import DataXAPI

dx = DataXAPI()  # reads DATAXAPI_API_KEY
result = dx.wechat.posts.search(query="咖啡店开业")
print(result["data"]["items"])
// npm i @dataxapi/sdk
import { DataXAPI } from "@dataxapi/sdk";

const dx = new DataXAPI(); // reads DATAXAPI_API_KEY
const result = await dx.wechat.posts.search({ query: "咖啡店开业" });
console.log(result.data.items);
dataxapi call wechat.posts.search 'query=咖啡店开业'
录制的返回
{
  "code": "ok",
  "request_id": "f99e115c-779f-40c2-8f31-aa264bce80dd",
  "data": {
    "items": [
      {
        "id": "1565947629032858",
        "url": null,
        "type": "video",
        "title": null,
        "text": "咖啡店开业|第一次尝试就爱上了,清单放评论区",
        "published_at": "2026-10-15T06:55:50.000Z",
        "author": {
          "name": "橘子汽水不加冰",
          "avatar_url": "https://wx.qlogo.cn/mmhead/G9OFE9nvQizvdtoFhYPbPgJwNlPo1GOTzMZ7Yb1e/132"
        },
        "metrics": { "likes": 1, "favorites": 3 }
      },
      // … 另有 19 条
    ]
  },
  "page": {
    "next_cursor": "c1.qgwIcUU3N03dRsj5WCHQWiriygBg_3bRP0gIll8U",
    "cursor_expires_at": "2026-10-17T11:16:20.000Z",
    "has_more": true,
    "returned": 20
  },
  "warnings": [],
  "meta": {
    "capability": "wechat.posts.search",
    "result_status": "complete",
    "fetched_at": "2026-10-17T10:16:20.000Z",
    "cached": false,
    "replayed": false,
    "unavailable": {
      "lang": "capability",
      "author.id": "capability",
      "author.username": "capability",
      "author.verified": "capability",
      "author.followers": "capability",
      "metrics.comments": "capability",
      "metrics.shares": "capability",
      "metrics.views": "capability",
      "metrics.reposts": "capability",
      "images": "capability",
      "hashtags": "capability",
      "mentions": "capability",
      "is_pinned": "capability",
      "post_id": "platform",
      "parent_id": "platform",
      "root_id": "platform"
    },
    "billing": {
      "amount": "0.02",
      "currency": "USD",
      "balance_after": "9.98"
    }
  }
}

取自 2026-10-17 10:16 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。

微信搜一搜综合搜索 · $0.0200 / 一次 · 参数、字段和报错见接口页 →

示例花多少钱

一个词的两页搜索结果

接口调用次数单价小计
合计2$0.0400

价格是生成本页时的现行价格。失败的调用不收费。

在 AI 里做(MCP)

把 DataXAPI 接进你的 AI 客户端,只要接一次。之后直接说要什么,代理自己找到这些接口、看好价格,用你的余额调用。

这样说: 用 DataXAPI 在微信搜一搜里搜“咖啡店开业”,取两页,列出每条的类型、来源账号、标题和日期。
代理发给 call 工具的参数
{
  "capability": "wechat.posts.search",
  "query": "咖啡店开业",
  "idempotency_key": "<a new UUID>"
}

登录后复制带你 Key 的接入提示词了解 MCP 服务 →

要知道的

  • 搜一搜不给账号编号,只给账号名称。要看这个号的其他文章,用文章详情接口打开其中一篇的链接,返回里的 author.id 就是它的原始编号。
  • 搜不到结果时返回空结果,空结果也收费。

完整脚本

上面这件事写成一个能直接跑的脚本:Python,用 SDK,Key 从 DATAXAPI_API_KEY 读。它写出一个 CSV 文件,最后打印调了几次、取到几条、扣了多少。

Python
# pip install dataxapi
# export DATAXAPI_API_KEY=dx_...   (your key)
import csv
from decimal import Decimal
from dataxapi import DataXAPI

dx = DataXAPI()
calls, fetched, charged = 0, 0, Decimal("0")

def run(capability, params):
    """One call; counts it and what it was charged."""
    global calls, charged
    result = dx.call(capability, params)
    calls += 1
    charged += Decimal(str(result["meta"]["billing"]["amount"]))
    return result

QUERY = "咖啡店开业"
PAGES = 2

# WeChat Search results, articles and Channels videos mixed: type says which.
rows, cursor = [], None
for _ in range(PAGES):
    page = run("wechat.posts.search", {"query": QUERY, **({"cursor": cursor} if cursor else {})})
    for item in page["data"]["items"]:
        rows.append([item.get("type"), item.get("published_at"), item["author"].get("name"), item.get("title"), item.get("url")])
    cursor = page["page"]["next_cursor"]
    if not page["page"]["has_more"]:
        break

fetched = len(rows)
with open("wechat-search.csv", "w", newline="", encoding="utf-8") as file:
    csv.writer(file).writerows([["type", "published_at", "account", "title", "url"], *rows])

print(f"calls: {calls}, items: {fetched}, charged: ${charged}")

2026-10-29 真实跑过一次:调用 2 次,写出 40 行,扣费 $0.0400。失败的调用不收费。