How to use python to crawl CSDN popular comment URLs and store them in redis
1. Configure webdriver
Download the Google Chrome driver, and configure it
import timeimport randomfrom PIL import Imagefrom selenium import webdriverfrom selenium.webdriver.common.by import Byfrom selenium.webdriver.support.ui import WebDriverWaitfrom selenium.webdriver.support import expected_conditions as ECif __name__ == '__main__':options = webdriver.ChromeOptions()options.binary_location = r'C:UsershhhAppDataLocalGoogleChromeApplication谷歌浏览器.exe'# driver=webdriver.Chrome(executable_path=r'D:360Chromechromedriverchromedriver.exe')driver = webdriver.Chrome(options=options)#以java模块为例driver.get('https://www.csdn.net/nav/java')for i in range(1,20):driver.execute_script("window.scrollTo(0, document.body.scrollHeight)")time.sleep(2)
2. Get the URL
from bs4 import BeautifulSoupfrom lxml import etree html = etree.HTML(driver.page_source)# soup = BeautifulSoup(html, 'lxml')# soup_herf=soup.find_all("#feedlist_id > li:nth-child(1) > div > div > h2 > a")# soup_herftitle = html.xpath('//*[@id="feedlist_id"]/li/div/div/h2/a/@href')
You can see, Crawled a lot at once,The speed is very fast
3. Write to Redis
After importing the redis package,Configure the redis port and redis database& #xff0c;Use rpush function to write
Open redis
import redis r_link = redis.Redis(port='6379', host='localhost', decode_responses=True, db=1)for u in title:print("准备写入{}".format(u))r_link.rpush("csdn_url", u)print("{}写入成功!".format(u))print('=' * 30, 'n', "共计写入url:{}个".format(len(title)), 'n', '=' * 30)
Done!
You can see it in Redis Desktop Manager Crawling and writing are very fast.
To use it, just use rpop to pop it off the stack
one_url = r_link.rpop("csdn_url)")while one_url:print("{}被弹出!".format(one_url))
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