爬虫进阶之selenium模拟浏览器
发布时间：2024年01月20日
爬虫进阶之selenium模拟浏览器
简介
Selenium是一个用于自动化浏览器操作的工具，通常用于Web应用测试。然而，它也可以用作爬虫，通过模拟用户在浏览器中的操作来提取网页数据。以下是有关Selenium爬虫的一些基本介绍：
-
浏览器自动化： Selenium允许你通过编程方式控制浏览器的行为，包括打开网页、点击按钮、填写表单等。这样你可以模拟用户在浏览器中的操作。
-
支持多种浏览器： Selenium支持多种主流浏览器，包括Chrome、Firefox、Edge等。你可以选择适合你需求的浏览器来进行自动化操作。
-
网页数据提取： 利用Selenium，你可以加载网页并提取页面上的数据。这对于一些动态加载内容或需要用户交互的网页来说特别有用。
-
等待元素加载： 由于网页可能会异步加载，Selenium提供了等待机制，确保在继续执行之前等待特定的元素加载完成。
-
选择器： Selenium支持各种选择器，类似于使用CSS选择器或XPath来定位网页上的元素。
-
动态网页爬取： 对于使用JavaScript动态生成内容的网页，Selenium是一个有力的工具，因为它可以执行JavaScript代码并获取渲染后的结果。
尽管Selenium在爬虫中可以提供很多便利，但也需要注意一些方面。首先，使用Selenium进行爬取速度较慢，因为它模拟了真实用户的操作。其次，网站可能会检测到自动化浏览器，并采取措施来防止爬虫，因此使用Selenium时需要小心谨慎，遵守网站的使用规定和政策。
在使用selenium前需要有scrapy爬虫框架的相关知识，selenium需要结合scrapy的中间件才能发挥爬虫的作用，详细请看→前提知识：https://blog.csdn.net/shizuguilai/article/details/135554205
环境配置
1、建议先安装conda
参考连接：https://blog.csdn.net/Q_fairy/article/details/129158178
2、创建虚拟环境并安装对应的包
# 创建名字为scrapy的包
conda create -n scrapy
# 进入虚拟环境
conda activate scrapy
# 下载对应的包
pip install scrapy
pip install selenium
3、下载对应的谷歌驱动以及与驱动对应的浏览器
参考连接：https://zhuanlan.zhihu.com/p/665018772
记得配置好环境变量
代码
目录结构：spiders下面就是我放scrapy脚本的位置。
setting.py配置
# Scrapy settings for sw project
#
# For simplicity, this file contains only settings considered important or
# commonly used. You can find more settings consulting the documentation:
#
# https://docs.scrapy.org/en/latest/topics/settings.html
# https://docs.scrapy.org/en/latest/topics/downloader-middleware.html
# https://docs.scrapy.org/en/latest/topics/spider-middleware.html
BOT_NAME = "sw"
SPIDER_MODULES = ["sw.spiders"]
NEWSPIDER_MODULE = "sw.spiders"
DOWNLOAD_DELAY = 3
RANDOMIZE_DOWNLOAD_DELAY = True
USER_AGENT = 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36'
COOKIES_ENABLED = True
# Crawl responsibly by identifying yourself (and your website) on the user-agent
#USER_AGENT = "sw (+http://www.yourdomain.com)"
# Obey robots.txt rules
ROBOTSTXT_OBEY = False
# 文件settings.py中
# ----------- selenium参数配置 -------------
SELENIUM_TIMEOUT = 25 # selenium浏览器的超时时间，单位秒
LOAD_IMAGE = True # 是否下载图片
WINDOW_HEIGHT = 900 # 浏览器窗口大小
WINDOW_WIDTH = 900
# Configure maximum concurrent requests performed by Scrapy (default: 16)
#CONCURRENT_REQUESTS = 32
# Configure a delay for requests for the same website (default: 0)
# See https://docs.scrapy.org/en/latest/topics/settings.html#download-delay
# See also autothrottle settings and docs
#DOWNLOAD_DELAY = 3
# The download delay setting will honor only one of:
#CONCURRENT_REQUESTS_PER_DOMAIN = 16
#CONCURRENT_REQUESTS_PER_IP = 16
# Disable cookies (enabled by default)
#COOKIES_ENABLED = False
# Disable Telnet Console (enabled by default)
#TELNETCONSOLE_ENABLED = False
# Override the default request headers:
#DEFAULT_REQUEST_HEADERS = {
# "Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8",
# "Accept-Language": "en",
#}
# Enable or disable spider middlewares
# See https://docs.scrapy.org/en/latest/topics/spider-middleware.html
#SPIDER_MIDDLEWARES = {
# "sw.middlewares.SwSpiderMiddleware": 543,
#}
# Enable or disable downloader middlewares
# See https://docs.scrapy.org/en/latest/topics/downloader-middleware.html
#DOWNLOADER_MIDDLEWARES = {
# "sw.middlewares.SwDownloaderMiddleware": 543,
#}
# Enable or disable extensions
# See https://docs.scrapy.org/en/latest/topics/extensions.html
#EXTENSIONS = {
# "scrapy.extensions.telnet.TelnetConsole": None,
#}
# Configure item pipelines
# See https://docs.scrapy.org/en/latest/topics/item-pipeline.html
#ITEM_PIPELINES = {
# "sw.pipelines.SwPipeline": 300,
#}
# ITEM_PIPELINES = {
# "sw.pipelines.SwPipeline": 300,
# }
# DB_SETTINGS = {
# 'host': '127.0.0.1',
# 'port': 3306,
# 'user': 'root',
# 'password': '123456',
# 'db': 'scrapy_news_2024_01_08',
# 'charset': 'utf8mb4',
# }
# Enable and configure the AutoThrottle extension (disabled by default)
# See https://docs.scrapy.org/en/latest/topics/autothrottle.html
#AUTOTHROTTLE_ENABLED = True
# The initial download delay
#AUTOTHROTTLE_START_DELAY = 5
# The maximum download delay to be set in case of high latencies
#AUTOTHROTTLE_MAX_DELAY = 60
# The average number of requests Scrapy should be sending in parallel to
# each remote server
#AUTOTHROTTLE_TARGET_CONCURRENCY = 1.0
# Enable showing throttling stats for every response received:
#AUTOTHROTTLE_DEBUG = False
# Enable and configure HTTP caching (disabled by default)
# See https://docs.scrapy.org/en/latest/topics/downloader-middleware.html#httpcache-middleware-settings
#HTTPCACHE_ENABLED = True
#HTTPCACHE_EXPIRATION_SECS = 0
#HTTPCACHE_DIR = "httpcache"
#HTTPCACHE_IGNORE_HTTP_CODES = []
#HTTPCACHE_STORAGE = "scrapy.extensions.httpcache.FilesystemCacheStorage"
# Set settings whose default value is deprecated to a future-proof value
REQUEST_FINGERPRINTER_IMPLEMENTATION = "2.7"
TWISTED_REACTOR = "twisted.internet.asyncioreactor.AsyncioSelectorReactor"
FEED_EXPORT_ENCODING = "utf-8"
# REDIRECT_ENABLED = False
scrapy脚本参考
"""
Created on 2024/01/06 14:00 by Fxy
"""
import scrapy
from sw.items import SwItem
import time
from datetime import datetime
import locale
from scrapy_splash import SplashRequest
# scrapy 信号相关库
from scrapy.utils.project import get_project_settings
# 下面这种方式，即将废弃，所以不用
# from scrapy.xlib.pydispatch import dispatcher
from scrapy import signals
# scrapy最新采用的方案
from pydispatch import dispatcher
from selenium import webdriver
from selenium.webdriver.support.ui import WebDriverWait
class NhcSpider(scrapy.Spider):
'''
scrapy变量
'''
# 爬虫名称
name = "1000_nhc"
# 允许爬取的域名
allowed_domains = ["xxxx.cn"]
# 爬虫的起始链接
start_urls = ["xxxx.shtml"]
# 创建一个VidoItem实例
item = SwItem()
custom_settings = {
'LOG_LEVEL':'INFO',
'DOWNLOAD_DELAY': 0,
'COOKIES_ENABLED': False, # enabled by default
'DOWNLOADER_MIDDLEWARES': {
# SeleniumMiddleware 中间件
'sw.middlewares.SeleniumMiddleware': 543, # 这个数字是启用的优先级
# 将scrapy默认的user-agent中间件关闭
'scrapy.downloadermiddlewares.useragent.UserAgentMiddleware': None,
}
}
'''
自定义变量
'''
# 机构名称
org = "xxxx数据"
# 机构英文名称
org_e = "None"
# 日期格式
site_date_format = '发布时间：\n \t%Y-%m-%d\n ' # 网页的日期格式
date_format = '%d.%m.%Y %H:%M:%S' # 目标日期格式
# 网站语言格式
language_type = "zh2zh" # 中文到中文的语言代码, 调用翻译接口时，使用
# 模拟浏览器格式
meta = {'usedSelenium': name, 'dont_redirect': True}
# 将chrome初始化放到spider中，成为spider中的元素
def __init__(self, timeout=40, isLoadImage=True, windowHeight=None, windowWidth=None):
# 从settings.py中获取设置参数
self.mySetting = get_project_settings()
self.timeout = self.mySetting['SELENIUM_TIMEOUT']
self.isLoadImage = self.mySetting['LOAD_IMAGE']
self.windowHeight = self.mySetting['WINDOW_HEIGHT']
self.windowWidth = self.mySetting['windowWidth']
# 初始化chrome对象
options = webdriver.ChromeOptions()
options.add_experimental_option('useAutomationExtension', False) # 隐藏selenium特性
options.add_experimental_option('excludeSwitches', ['enable-automation']) # 隐藏selenium特性
options.add_argument('--ignore-certificate-errors') # 忽略证书错误
options.add_argument('--ignore-certificate-errors-spki-list')
options.add_argument('--ignore-ssl-errors') # 忽略ssl错误
# chrome_options = webdriver.ChromeOptions()
# chrome_options.binary_location = "E:\\学校的一些资料\\文档\研二上\\chrome-win64\\chrome.exe" # 替换为您的特定版本的Chrome浏览器路径
#1.创建Chrome或Firefox浏览器对象，这会在电脑上在打开一个浏览器窗口
# browser = webdriver.Chrome(executable_path ="E:\\chromedriver\\chromedriver", chrome_options=chrome_options) #第一个参数为驱动的路径，第二个参数为对应的应用程序地址
self.browser = webdriver.Chrome(chrome_options=options)
self.browser.execute_cdp_cmd("Page.addScriptToEvaluateOnNewDocument", { # 隐藏selenium特性
"source": """
Object.defineProperty(navigator, 'webdriver', {
get: () => undefined
})
"""
})
if self.windowHeight and self.windowWidth:
self.browser.set_window_size(900, 900)
self.browser.set_page_load_timeout(self.timeout) # 页面加载超时时间
self.wait = WebDriverWait(self.browser, 30) # 指定元素加载超时时间
super(NhcSpider, self).__init__()
# 设置信号量，当收到spider_closed信号时，调用mySpiderCloseHandle方法，关闭chrome
dispatcher.connect(receiver = self.mySpiderCloseHandle,
signal = signals.spider_closed
)
# 信号量处理函数：关闭chrome浏览器
def mySpiderCloseHandle(self, spider):
print(f"mySpiderCloseHandle: enter ")
self.browser.quit()
def start_requests(self):
yield scrapy.Request(url = self.start_urls[0],
meta = self.meta,
callback = self.parse,
# errback = self.error
)
#爬虫的主入口，这里是获取所有的归档文章链接, 从返回的respose
def parse(self,response):
# locale.setlocale(locale.LC_TIME, 'en_US') #本地语言为英语 //*[@id="538034"]/div
achieve_links = response.xpath('//ul[@class="zxxx_list"]/li/a/@href').extract()
print("achieve_links",achieve_links)
for achieve_link in achieve_links:
full_achieve_link = "http:/xxxx.cn" + achieve_link
print("full_achieve_link", full_achieve_link)
# 进入每个归档链接
yield scrapy.Request(full_achieve_link, callback=self.parse_item,dont_filter=True, meta=self.meta)
#翻页逻辑
xpath_expression = f'//*[@id="page_div"]/div[@class="pagination_index"]/span/a[text()="下一页"]/@href'
next_page = response.xpath(xpath_expression).extract_first()
print("next_page = ", next_page)
# 翻页操作
if next_page != None:
# print(next_page)
# print('next page')
full_next_page = "http://xxxx/" + next_page
print("full_next_page",full_next_page)
meta_page = {'usedSelenium': self.name, "whether_wait_id" : True} # 翻页的meta和请求的meta要不一样
yield scrapy.Request(full_next_page, callback=self.parse, dont_filter=True, meta=meta_page)
#获取每个文章的内容,并存入item
def parse_item(self,response):
source_url = response.url
title_o = response.xpath('//div[@class="tit"]/text()').extract_first().strip()
# title_t = my_tools.get_trans(title_o, "de2zh")
publish_time = response.xpath('//div[@class="source"]/span[1]/text()').extract_first()
date_object = datetime.strptime(publish_time, self.site_date_format) # 先读取成网页的日期格式
date_object = date_object.strftime(self.date_format) # 转换成目标的日期字符串
publish_time = datetime.strptime(date_object, self.date_format) # 从符合格式的字符串，转换成日期
content_o = [content.strip() for content in response.xpath('//div[@id="xw_box"]//text()').extract()]
# content_o = ' '.join(content_o) # 这个content_o提取出来是一个字符串数组，所以要拼接成字符串
# content_t = my_tools.get_trans(content_o, "de2zh")
print("source_url:", source_url)
print("title_o:", title_o)
# print("title_t:", title_t)
print("publish_time:", publish_time) #15.01.2008
print("content_o:", content_o)
# print("content_t:", content_t)
print("-" * 50)
page_data = {
'source_url': source_url,
'title_o': title_o,
# 'title_t' : title_t,
'publish_time': publish_time,
'content_o': content_o,
# 'content_t': content_t,
'org' : self.org,
'org_e' : self.org_e,
}
self.item['url'] = page_data['source_url']
self.item['title'] = page_data['title_o']
# self.item['title_t'] = page_data['title_t']
self.item['time'] = page_data['publish_time']
self.item['content'] = page_data['content_o']
# self.item['content_t'] = page_data['content_t']
# 获取当前时间
current_time = datetime.now()
# 格式化成字符串
formatted_time = current_time.strftime(self.date_format)
# 将字符串转换为 datetime 对象
datetime_object = datetime.strptime(formatted_time, self.date_format)
self.item['scrapy_time'] = datetime_object
self.item['org'] = page_data['org']
self.item['trans_org'] = page_data['org_e']
yield self.item
中间件middlewares.py
# Define here the models for your spider middleware
#
# See documentation in:
# https://docs.scrapy.org/en/latest/topics/spider-middleware.html
from scrapy import signals
# useful for handling different item types with a single interface
from itemadapter import is_item, ItemAdapter
class SwSpiderMiddleware:
# Not all methods need to be defined. If a method is not defined,
# scrapy acts as if the spider middleware does not modify the
# passed objects.
@classmethod
def from_crawler(cls, crawler):
# This method is used by Scrapy to create your spiders.
s = cls()
crawler.signals.connect(s.spider_opened, signal=signals.spider_opened)
return s
def process_spider_input(self, response, spider):
# Called for each response that goes through the spider
# middleware and into the spider.
# Should return None or raise an exception.
return None
def process_spider_output(self, response, result, spider):
# Called with the results returned from the Spider, after
# it has processed the response.
# Must return an iterable of Request, or item objects.
for i in result:
yield i
def process_spider_exception(self, response, exception, spider):
# Called when a spider or process_spider_input() method
# (from other spider middleware) raises an exception.
# Should return either None or an iterable of Request or item objects.
pass
def process_start_requests(self, start_requests, spider):
# Called with the start requests of the spider, and works
# similarly to the process_spider_output() method, except
# that it doesn’t have a response associated.
# Must return only requests (not items).
for r in start_requests:
yield r
def spider_opened(self, spider):
spider.logger.info("Spider opened: %s" % spider.name)
class SwDownloaderMiddleware:
# Not all methods need to be defined. If a method is not defined,
# scrapy acts as if the downloader middleware does not modify the
# passed objects.
@classmethod
def from_crawler(cls, crawler):
# This method is used by Scrapy to create your spiders.
s = cls()
crawler.signals.connect(s.spider_opened, signal=signals.spider_opened)
return s
def process_request(self, request, spider):
# Called for each request that goes through the downloader
# middleware.
# Must either:
# - return None: continue processing this request
# - or return a Response object
# - or return a Request object
# - or raise IgnoreRequest: process_exception() methods of
# installed downloader middleware will be called
return None
def process_response(self, request, response, spider):
# Called with the response returned from the downloader.
# Must either;
# - return a Response object
# - return a Request object
# - or raise IgnoreRequest
return response
def process_exception(self, request, exception, spider):
# Called when a download handler or a process_request()
# (from other downloader middleware) raises an exception.
# Must either:
# - return None: continue processing this exception
# - return a Response object: stops process_exception() chain
# - return a Request object: stops process_exception() chain
pass
def spider_opened(self, spider):
spider.logger.info("Spider opened: %s" % spider.name)
# -*- coding: utf-8 -*- 使用selenium
from selenium import webdriver
from selenium.common.exceptions import TimeoutException
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.keys import Keys
from scrapy.http import HtmlResponse
from logging import getLogger
import time
class SeleniumMiddleware():
# Middleware中会传递进来一个spider，这就是我们的spider对象，从中可以获取__init__时的chrome相关元素
def process_request(self, request, spider):
'''
用chrome抓取页面
:param request: Request请求对象
:param spider: Spider对象
:return: HtmlResponse响应
'''
print(f"chrome is getting page = {request.url}")
# 依靠meta中的标记，来决定是否需要使用selenium来爬取
usedSelenium = request.meta.get('usedSelenium', None) # 从request中的meta字段中获取usedSelenium值，不过不存在，返回默认的None
# print("来到中间了？")
if usedSelenium == "1000_nhc":
try:
spider.browser.get(request.url)
time.sleep(4)
if(request.meta.get('whether_wait_id', False)): # 从request中的meta字段中获取whether_wait_id值，不过不存在，返回默认的False
print("准备等待翻页的元素出现。。。")
# 使用WebDriverWait等待页面加载完成
wait = WebDriverWait(spider.browser, 20) # 设置最大等待时间为60秒
# 示例：等待页面中的某个元素加载完成，可根据实际情况调整
wait.until(EC.presence_of_element_located((By.ID, "page_div"))) # 等待翻页结束，才进行下一步
except TimeoutException: # 没有等到元素，继续重新进行请求
print("Timeout waiting for element. Retrying the request.")
self.retry_request(request, spider)
except Exception as e:
print(f"chrome getting page error, Exception = {e}")
return HtmlResponse(url=request.url, status=500, request=request)
else:
time.sleep(4)
# 页面爬取成功，构造一个成功的Response对象(HtmlResponse是它的子类)
return HtmlResponse(url=request.url,
body=spider.browser.page_source,
request=request,
# 最好根据网页的具体编码而定
encoding='utf-8',
status=200)
# try:
# spider.browser.get(request.url)
# # 搜索框是否出现
# input = spider.wait.until(
# EC.presence_of_element_located((By.XPATH, "//div[@class='nav-search-field ']/input"))
# )
# time.sleep(2)
# input.clear()
# input.send_keys("iphone 7s")
# # 敲enter键, 进行搜索
# input.send_keys(Keys.RETURN)
# # 查看搜索结果是否出现
# searchRes = spider.wait.until(
# EC.presence_of_element_located((By.XPATH, "//div[@id='resultsCol']"))
# )
# except Exception as e:
# print(f"chrome getting page error, Exception = {e}")
# return HtmlResponse(url=request.url, status=500, request=request)
# else:
# time.sleep(3)
# # 页面爬取成功，构造一个成功的Response对象(HtmlResponse是它的子类)
# return HtmlResponse(url=request.url,
# body=spider.browser.page_source,
# request=request,
# # 最好根据网页的具体编码而定
# encoding='utf-8',
# status=200)
附录：selenium教程
参考链接1 selenium如何等待具体元素的出现：https://selenium-python-zh.readthedocs.io/en/latest/waits.html
参考链接2 selenium具体用法：https://pythondjango.cn/python/tools/7-python_selenium/#%E5%85%83%E7%B4%A0%E5%AE%9A%E4%BD%8D%E6%96%B9%E6%B3%95
参考链接3 别人的的实战：https://blog.csdn.net/zwq912318834/article/details/79773870
文章来源:https://blog.csdn.net/shizuguilai/article/details/135711275
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本文来自互联网用户投稿，该文观点仅代表作者本人，不代表本站立场。本站仅提供信息存储空间服务，不拥有所有权，不承担相关法律责任。 如若内容造成侵权/违法违规/事实不符，请联系我的编程经验分享网邮箱：chenni525@qq.com进行投诉反馈，一经查实，立即删除！