在当今数据驱动的时代,网络爬虫已成为获取互联网信息的重要手段。然而,许多网站如12306都实施了严格的反爬虫机制,特别是对于动态加载的内容。本文将详细介绍如何使用Selenium模拟真实浏览器行为,有效绕过这些限制,成功抓取12306旅游产品数据。
12306反爬机制分析
12306作为中国铁路官方售票平台,对其旅游产品数据实施了多层次防护:
- 动态内容加载:大量使用JavaScript异步加载数据,传统爬虫无法获取
- 验证码系统:复杂图片验证码和滑动验证码阻止自动化访问
- 请求头检测:验证User-Agent、Referer等头部信息
- 行为分析:检测鼠标移动、点击模式等人类特征
- IP限制:频繁请求会导致IP地址被暂时封锁
Selenium技术简介
Selenium是一个自动化Web测试工具,但其浏览器自动化能力使其成为应对反爬策略的利器:
- 真实浏览器环境:完全模拟用户操作,生成合法流量模式
- JavaScript执行:能够处理动态加载内容
- 元素交互:可以模拟点击、输入等用户行为
- 跨平台支持:支持Chrome、Firefox、Edge等主流浏览器
环境准备与配置
所需工具和库安装
首先确保安装以下Python库:
bash
pip install selenium beautifulsoup4 pandas webdriver-manager
WebDriver管理
Selenium需要对应浏览器的驱动程序。推荐使用webdriver-manager自动管理驱动:
plain
from selenium import webdriver
from selenium.webdriver.chrome.service import Service
from webdriver_manager.chrome import ChromeDriverManager
from selenium.webdriver.chrome.options import Options
def setup_driver():
chrome_options = Options()
chrome_options.add_argument('--no-sandbox')
chrome_options.add_argument('--disable-dev-shm-usage')
chrome_options.add_argument('--disable-blink-features=AutomationControlled')
chrome_options.add_experimental_option("excludeSwitches", ["enable-automation"])
chrome_options.add_experimental_option('useAutomationExtension', False)
chrome_options.add_argument('--start-maximized') # 最大化窗口
# 使用webdriver-manager自动下载和管理ChromeDriver
service = Service(ChromeDriverManager().install())
driver = webdriver.Chrome(service=service, options=chrome_options)
# 执行CDP命令隐藏WebDriver特征
driver.execute_script("Object.defineProperty(navigator, 'webdriver', {get: () => undefined})")
driver.execute_cdp_cmd('Page.addScriptToEvaluateOnNewDocument', {
'source': '''
Object.defineProperty(navigator, 'webdriver', {
get: () => undefined
})
'''
})
return driver
爬虫设计与实现
页面分析与等待策略
12306旅游产品页面(https://kyfw.12306.cn/otn/product/index.html)采用动态加载方式,需要合理设置等待时间:
plain
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
import time
def wait_for_element(driver, by, value, timeout=10):
"""等待元素出现"""
try:
element = WebDriverWait(driver, timeout).until(
EC.presence_of_element_located((by, value))
)
return element
except Exception as e:
print(f"元素加载超时: {value}")
return None
def slow_scroll(driver, scroll_pause_time=0.5):
"""模拟人类缓慢滚动页面"""
last_height = driver.execute_script("return document.body.scrollHeight")
while True:
# 随机滚动距离,模拟人类行为
scroll_height = random.randint(300, 800)
driver.execute_script(f"window.scrollBy(0, {scroll_height});")
time.sleep(scroll_pause_time)
new_height = driver.execute_script("return document.body.scrollHeight")
if new_height == last_height:
break
last_height = new_height
处理验证码挑战
当遇到验证码时,我们需要人工干预或使用OCR服务:
plain
def handle_verification(driver):
"""处理验证码挑战"""
try:
# 检查是否有验证码出现
captcha_element = wait_for_element(driver, By.ID, "code", timeout=5)
if captcha_element:
print("验证码出现,请手动解决...")
# 暂停程序,等待用户手动处理验证码
input("解决验证码后按回车键继续...")
return True
except:
pass
return False
数据提取实现
提取旅游产品信息的完整实现:
plain
from bs4 import BeautifulSoup
import pandas as pd
import re
def extract_tour_products(driver):
"""提取旅游产品信息"""
# 等待产品列表加载
wait_for_element(driver, By.CLASS_NAME, "product-list", timeout=15)
# 缓慢滚动加载所有内容
slow_scroll(driver)
# 获取页面源码并使用BeautifulSoup解析
page_source = driver.page_source
soup = BeautifulSoup(page_source, 'html.parser')
products = []
product_items = soup.find_all('div', class_='product-item')
for item in product_items:
try:
# 提取产品名称
name_elem = item.find('div', class_='product-name')
name = name_elem.text.strip() if name_elem else "未知产品"
# 提取价格信息
price_elem = item.find('div', class_='product-price')
price_text = price_elem.text.strip() if price_elem else "0"
price = re.search(r'(\d+)', price_text.replace(',', ''))
price = int(price.group(1)) if price else 0
# 提取出发地/目的地
route_elem = item.find('div', class_='product-route')
route = route_elem.text.strip() if route_elem else ""
# 提取产品详情链接
link_elem = item.find('a', href=True)
link = "https://kyfw.12306.cn" + link_elem['href'] if link_elem else ""
# 提取产品图片
img_elem = item.find('img', src=True)
img_url = img_elem['src'] if img_elem else ""
products.append({
'name': name,
'price': price,
'route': route,
'link': link,
'image_url': img_url,
'crawled_time': pd.Timestamp.now()
})
except Exception as e:
print(f"提取产品信息时出错: {e}")
continue
return products
完整爬虫流程
整合以上功能的完整实现:
plain
import random
import json
from datetime import datetime
import time
import pandas as pd
from selenium import webdriver
from selenium.webdriver.chrome.service import Service
from selenium.webdriver.chrome.options import Options
from webdriver_manager.chrome import ChromeDriverManager
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from bs4 import BeautifulSoup
import re
# 代理信息
proxyHost = "www.16yun.cn"
proxyPort = "5445"
proxyUser = "16QMSOML"
proxyPass = "280651"
def get_proxy_url():
"""生成带认证的代理URL"""
return f"http://{proxyUser}:{proxyPass}@{proxyHost}:{proxyPort}"
def setup_driver():
"""设置带代理的浏览器实例"""
chrome_options = Options()
# 添加代理服务器配置(带认证)
proxy_url = get_proxy_url()
chrome_options.add_argument(f'--proxy-server={proxy_url}')
# 其他配置
chrome_options.add_argument('--no-sandbox')
chrome_options.add_argument('--disable-dev-shm-usage')
chrome_options.add_argument('--disable-blink-features=AutomationControlled')
chrome_options.add_experimental_option("excludeSwitches", ["enable-automation"])
chrome_options.add_experimental_option('useAutomationExtension', False)
chrome_options.add_argument('--start-maximized')
# 使用webdriver-manager自动下载和管理ChromeDriver
service = Service(ChromeDriverManager().install())
driver = webdriver.Chrome(service=service, options=chrome_options)
# 执行CDP命令隐藏WebDriver特征
driver.execute_script("Object.defineProperty(navigator, 'webdriver', {get: () => undefined})")
driver.execute_cdp_cmd('Page.addScriptToEvaluateOnNewDocument', {
'source': '''
Object.defineProperty(navigator, 'webdriver', {
get: () => undefined
})
'''
})
return driver
def wait_for_element(driver, by, value, timeout=10):
"""等待元素出现"""
try:
element = WebDriverWait(driver, timeout).until(
EC.presence_of_element_located((by, value))
)
return element
except Exception as e:
print(f"元素加载超时: {value}")
return None
def slow_scroll(driver, scroll_pause_time=0.5):
"""模拟人类缓慢滚动页面"""
last_height = driver.execute_script("return document.body.scrollHeight")
while True:
# 随机滚动距离,模拟人类行为
scroll_height = random.randint(300, 800)
driver.execute_script(f"window.scrollBy(0, {scroll_height});")
time.sleep(scroll_pause_time)
new_height = driver.execute_script("return document.body.scrollHeight")
if new_height == last_height:
break
last_height = new_height
def handle_verification(driver):
"""处理验证码挑战"""
try:
# 检查是否有验证码出现
captcha_element = wait_for_element(driver, By.ID, "code", timeout=5)
if captcha_element:
print("验证码出现,请手动解决...")
# 暂停程序,等待用户手动处理验证码
input("解决验证码后按回车键继续...")
return True
except:
pass
return False
def extract_tour_products(driver):
"""提取旅游产品信息"""
# 等待产品列表加载
wait_for_element(driver, By.CLASS_NAME, "product-list", timeout=15)
# 缓慢滚动加载所有内容
slow_scroll(driver)
# 获取页面源码并使用BeautifulSoup解析
page_source = driver.page_source
soup = BeautifulSoup(page_source, 'html.parser')
products = []
product_items = soup.find_all('div', class_='product-item')
for item in product_items:
try:
# 提取产品名称
name_elem = item.find('div', class_='product-name')
name = name_elem.text.strip() if name_elem else "未知产品"
# 提取价格信息
price_elem = item.find('div', class_='product-price')
price_text = price_elem.text.strip() if price_elem else "0"
price = re.search(r'(\d+)', price_text.replace(',', ''))
price = int(price.group(1)) if price else 0
# 提取出发地/目的地
route_elem = item.find('div', class_='product-route')
route = route_elem.text.strip() if route_elem else ""
# 提取产品详情链接
link_elem = item.find('a', href=True)
link = "https://kyfw.12306.cn" + link_elem['href'] if link_elem else ""
# 提取产品图片
img_elem = item.find('img', src=True)
img_url = img_elem['src'] if img_elem else ""
products.append({
'name': name,
'price': price,
'route': route,
'link': link,
'image_url': img_url,
'crawled_time': pd.Timestamp.now()
})
except Exception as e:
print(f"提取产品信息时出错: {e}")
continue
return products
def crawl_12306_tours():
"""爬取12306旅游产品的完整流程"""
print("启动浏览器(使用代理服务器)...")
print(f"代理服务器: {proxyHost}:{proxyPort}")
driver = setup_driver()
try:
# 访问12306旅游产品页面
print("访问12306旅游产品页面...")
driver.get("https://kyfw.12306.cn/otn/product/index.html")
# 等待页面加载
time.sleep(3)
# 检查并处理验证码
if handle_verification(driver):
# 验证码处理后重新等待页面加载
time.sleep(3)
# 提取产品信息
print("正在提取旅游产品信息...")
products = extract_tour_products(driver)
# 保存数据
if products:
df = pd.DataFrame(products)
timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
filename = f"12306_tours_{timestamp}.csv"
df.to_csv(filename, index=False, encoding='utf-8-sig')
print(f"成功提取 {len(products)} 个旅游产品,已保存到 {filename}")
# 同时保存JSON格式
json_filename = f"12306_tours_{timestamp}.json"
with open(json_filename, 'w', encoding='utf-8') as f:
json.dump(products, f, ensure_ascii=False, indent=2)
print(f"JSON数据已保存到 {json_filename}")
else:
print("未找到旅游产品信息")
return products
except Exception as e:
print(f"爬取过程中发生错误: {e}")
return []
finally:
# 关闭浏览器
driver.quit()
print("浏览器已关闭")
# 执行爬虫
if __name__ == "__main__":
crawl_12306_tours()
道德与法律考量
在使用Selenium爬取12306数据时,必须注意以下道德和法律问题:
- 遵守robots.txt:检查目标网站的爬虫政策
- 控制请求频率:避免对服务器造成过大压力
- 数据使用限制:仅将数据用于个人学习和研究目的
- 用户隐私保护:不收集、存储或分享任何用户个人信息
- 版权尊重:遵守12306网站上内容的版权声明