一、技術(shù)選型：為什么選 Python 而不是 Java？

結(jié)論：“調(diào)研階段用 Python，上線后如果 QPS 爆表再考慮 Java 重構(gòu)。”

二、整體架構(gòu)速覽（3 分鐘看懂）

三、開發(fā)前準(zhǔn)備（5 分鐘搞定）

環(huán)境
Python 3.11 + VSCode + 虛擬環(huán)境

依賴一次性裝完

bash

python -m venv venv
source venv/bin/activate
pip install playwright pandas tqdm loguru fake-useragent aiofiles
playwright install chromium   # 自動(dòng)下載瀏覽器

目標(biāo)字段 & CSS 選擇器

四、MVP：120 行代碼即可跑通

單文件腳本，支持異步并發(fā) 10 個(gè) ASIN，自動(dòng)重試 429，結(jié)果直接寫 amazon.csv。

Python

import asyncio, csv, re, random
from pathlib import Path
from playwright.async_api import async_playwright
from loguru import logger
from fake_useragent import UserAgent
import pandas as pd

CONCURRENCY = 10
RETRY     = 3
TIMEOUT   = 35_000
RESULT    = "amazon.csv"

HEADERS = ["asin","title","price","rating","review_count","availability","img_url","scrape_time"]

async def scrape_one(page, asin: str) -> dict:
    url = f"https://www.amazon.com/dp/{asin}"
    logger.info("


審核編輯 黃宇