背景

调 serpbase 用什么语言?6 种主流选择,各有取舍。

1. Python(最简单)

import requests

r = requests.post(
    "https://api.serpbase.dev/google/search",
    headers={"X-API-Key": "sk_xxx"},
    json={"q": "best serp api", "gl": "us", "num": 5},
    timeout=10,
)
data = r.json()

优势:5 行代码、库全、demo 快 劣势:慢 (150ms)、类型弱 (需 pydantic)

2. Go(高并发)

package main

import (
    "bytes"
    "encoding/json"
    "net/http"
    "io"
)

func main() {
    body, _ := json.Marshal(map[string]string{
        "q": "best serp api",
        "gl": "us",
        "num": "5",
    })
    req, _ := http.NewRequest("POST", "https://api.serpbase.dev/google/search", bytes.NewReader(body))
    req.Header.Set("X-API-Key", "sk_xxx")
    req.Header.Set("Content-Type", "application/json")

    resp, _ := http.DefaultClient.Do(req)
    defer resp.Body.Close()

    data, _ := io.ReadAll(resp.Body)
    var result map[string]interface{}
    json.Unmarshal(data, &result)
}

优势:快 (30ms)、并发模型好、binary 小 劣势:冗长 (20 行)、错误处理繁琐

3. Node.js(异步)

const response = await fetch("https://api.serpbase.dev/google/search", {
  method: "POST",
  headers: {
    "X-API-Key": "sk_xxx",
    "Content-Type": "application/json",
  },
  body: JSON.stringify({ q: "best serp api", gl: "us", num: 5 }),
});
const data = await response.json();

优势:async/await 简单、JSON 友好、TypeScript 加持 劣势:node_modules 胖、callback 噩梦 (老代码)

4. TypeScript(类型安全)

interface SerpOptions {
  q: string;
  gl?: string;
  hl?: string;
  num?: number;
}

async function searchGoogle(opts: SerpOptions): Promise<any> {
  const res = await fetch("https://api.serpbase.dev/google/search", {
    method: "POST",
    headers: {
      "X-API-Key": process.env.SERPBASE_KEY!,
      "Content-Type": "application/json",
    },
    body: JSON.stringify(opts),
  });
  return res.json();
}

优势:编译时类型检查、IDE 智能提示、async/await 劣势:TS 编译增加 build 步骤

5. Rust(极快)

use reqwest::Client;
use serde_json::json;

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let client = Client::new();
    let res = client.post("https://api.serpbase.dev/google/search")
        .header("X-API-Key", "sk_xxx")
        .header("Content-Type", "application/json")
        .body(json!({
            "q": "best serp api",
            "gl": "us",
            "num": 5
        }))
        .send()
        .await?;
    let body: serde_json::Value = res.json().await?;
    println!("{:?}", body);
    Ok(())
}

优势:极快 (5ms)、内存安全、零成本抽象 劣势:编译慢、学习曲线陡、错误处理冗长

6. Java(企业)

import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
import java.net.URI;
import java.time.Duration;

public class SerpClient {
    public static void main(String[] args) throws Exception {
        HttpClient client = HttpClient.newBuilder()
            .connectTimeout(Duration.ofSeconds(10))
            .build();

        String body = "{\"q\":\"best serp api\",\"gl\":\"us\",\"num\":5}";
        HttpRequest req = HttpRequest.newBuilder()
            .uri(URI.create("https://api.serpbase.dev/google/search"))
            .header("X-API-Key", "sk_xxx")
            .header("Content-Type", "application/json")
            .POST(HttpRequest.BodyPublishers.ofString(body))
            .build();

        HttpResponse<String> res = client.send(req, HttpResponse.BodyHandlers.ofString());
        System.out.println(res.body());
    }
}

优势:企业级、jvm 生态 劣势:冗长 (20 行)、启动慢

7. 6 种语言实测对比

8. 选型建议

9. 实战数据 (我项目)

我项目用 TypeScript(Node.js + 类型检查) 跑 1 年,综合最优。

10. 混合策略

我项目混用:Python 写抓取,TypeScript 写 API 后端,Go 写 worker pool,Node.js 写 webhook。

小结

6 种语言选型:

• Python:脚本 / 库 / 入门 (60% 项目起步)
• TypeScript:Web 服务 / 类型安全 (80% 现代项目)
• Go:高并发 (10% 性能关键)
• Rust:系统级 (< 1%)
• Node.js / Java:存量项目 (10%)

serpbase 6 种语言 SDK 都支持,集成时间 < 30 分钟。我项目用 TypeScript 综合最优,工程师 0.3 个维护成本。