脚本如何抓取网页内容

wen 实用脚本 2026-07-01 26

本文目录导读：

脚本如何抓取网页内容

Python 基础方法
处理动态内容
使用 Scrapy 框架（适合大规模抓取）
命令行工具
Node.js 方法
高级技巧
注意事项
推荐工具选择

Python 基础方法

使用 requests + BeautifulSoup

import requests
from bs4 import BeautifulSoup
# 发送请求
headers = {
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36'
}
url = 'https://example.com'
response = requests.get(url, headers=headers)
# 解析HTML
soup = BeautifulSoup(response.text, 'html.parser')
# 提取数据= soup.find('h1').text
links = soup.find_all('a')
for link in links:
    print(link.get('href'), link.text)

处理动态内容

使用 Selenium（处理JavaScript渲染）

from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.chrome.options import Options
# 配置无头浏览器
options = Options()
options.add_argument('--headless')
driver = webdriver.Chrome(options=options)
# 加载页面
driver.get('https://example.com')
# 等待加载
driver.implicitly_wait(10)
# 获取渲染后的内容
content = driver.page_source
element = driver.find_element(By.CLASS_NAME, 'target-class')
text = element.text
driver.quit()

使用 Scrapy 框架（适合大规模抓取）

import scrapy
class MySpider(scrapy.Spider):
    name = 'example_spider'
    start_urls = ['https://example.com']
    def parse(self, response):
        # 提取数据
        yield {
            'title': response.css('h1::text').get(),
            'links': response.css('a::attr(href)').getall(),
        }
        # 翻页
        next_page = response.css('a.next::attr(href)').get()
        if next_page:
            yield response.follow(next_page, self.parse)

命令行工具

curl 命令

# 基本用法
curl https://example.com
# 添加请求头
curl -H "User-Agent: Mozilla/5.0" https://example.com
# 保存到文件
curl -o output.html https://example.com

wget 命令

# 下载网页
wget https://example.com
# 递归下载
wget -r -l 2 https://example.com

Node.js 方法

const axios = require('axios');
const cheerio = require('cheerio');
async function scrapePage() {
    const response = await axios.get('https://example.com');
    const $ = cheerio.load(response.data);
    // 提取数据
    const title = $('h1').text();
    const links = [];
    $('a').each((i, el) => {
        links.push({
            text: $(el).text(),
            href: $(el).attr('href')
        });
    });
    return { title, links };
}

高级技巧

反爬虫处理

# 使用代理
proxies = {
    'http': 'http://proxy.example.com:8080',
    'https': 'https://proxy.example.com:8080'
}
response = requests.get(url, proxies=proxies)
# 随机User-Agent
import random
user_agents = [
    'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36',
    'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36',
]
headers = {'User-Agent': random.choice(user_agents)}
# 处理验证码（使用打码平台）
import ddddocr
ocr = ddddocr.DdddOcr()
with open('captcha.png', 'rb') as f:
    result = ocr.classification(f.read())

异步抓取（提高效率）

import asyncio
import aiohttp
async def fetch(session, url):
    async with session.get(url) as response:
        return await response.text()
async def main():
    urls = ['https://example.com/page1', 'https://example.com/page2']
    async with aiohttp.ClientSession() as session:
        tasks = [fetch(session, url) for url in urls]
        responses = await asyncio.gather(*tasks)