最新 Python3 爬取前程无忧招聘网 mysql和excel 保存数据

Python 爬虫目录
        
        1、最新 Python3 爬取前程无忧招聘网 lxml+xpath
        2、Python3 Mysql保存爬取的数据 正则
        3、Python3 用requests 库 和 bs4 库 最新爬豆瓣电影Top250
        4、Python Scrapy 爬取 前程无忧招聘网
        5、Python3 爬取房价 采用lxml+xpath
        6、持续更新…
        
        
        

本文更新于2021年06月01日

本文爬取网站为https://search.51job.com/list/000000,000000,0000,00,9,99,%25E6%2595%25B0%25E6%258D%25AE%25E5%2588%2586%25E6%259E%2590,2,1.html?

本文选用的是lxml模块，xpath语法提取数据

推荐谷歌用户一个可以帮助xpath调试的插件
Xpath Helper

1、进行分析网站

**

要爬取的职位名、公司名、工作地点、薪资的信息都在class="e"里

**

分析完就可以用xpath 语法进行调试了
完整代码如下：

from selenium import webdriver
from lxml import etree
import time
import pymysql# 设置不启动浏览器
option = webdriver.ChromeOptions()
option.add_argument('headless')def get_url(url):browser = webdriver.Chrome(options=option)browser.get(url)html_text = browser.page_source# browser.quit()# time.sleep(5)return html_textdef GetData(url):""":param url: 目标网址:return:"""html_text = get_url(url)dom = etree.HTML(html_text)dom_list = dom.xpath('//div[@class="j_result"]/div[@class="in"]/div[@class="leftbox"]//div[@class="j_joblist"]//div[@class="e"]')Job_list = []for t in dom_list:# 1.岗位名称job_name = t.xpath('.//a[@class="el"]//span[@class="jname at"]/text()')[0]# print(job_name)  for test# 2.发布时间release_time = t.xpath('.//a[@class="el"]//span[@class="time"]/text()')[0]# 3.工作地点address = t.xpath('.//a[@class="el"]//span[@class="d at"]/text()')[0]# 4.工资salary_mid = t.xpath('.//a[@class="el"]//span[@class="sal"]')salary = [i.text for i in salary_mid][0]  # 列表解析# 5.公司名称company_name = t.xpath('.//div[@class="er"]//a[@class="cname at"]/text()')[0]# 6.公司类型和规模company_type_size = t.xpath('.//div[@class="er"]//p[@class="dc at"]/text()')[0]# 7.行业indusrty = t.xpath('..//div[@class="er"]//p[@class="int at"]/text()')[0]JobInfo = {'job_name': job_name,'address': address,'salary': salary,'company_name': company_name,'company_type_size': company_type_size,'industry': indusrty,'release_time': release_time}Job_list.append(JobInfo)return Job_listdef SaveSql(data):""":param data: 数据:return:"""# 创建连接db = pymysql.Connect(host='localhost',  # mysql服务器地址port=3306,  # mysql服务器端口号user='root',  # 用户名passwd='123123',  # 密码db='save_data',  # 数据库名charset='utf8'  # 连接编码)# 创建游标cursor = db.cursor()# 使用预处理语句创建表cursor.execute("""create table if not exists Job_info(ID INT PRIMARY KEY AUTO_INCREMENT ,job_name VARCHAR(100) ,address VARCHAR (100),salary  VARCHAR (30),company_name VARCHAR (100) ,company_type_size VARCHAR (100),industry VARCHAR (50),release_time VARCHAR (30))""")for i in data:insert = "INSERT INTO Job_info(" \"job_name,address,salary,company_name,company_type_size,industry,release_time" \")values(%s,%s,'%s',%s,%s,%s,%s)" % (repr(i['job_name']), repr(i['address']), i['salary'], repr(i['company_name']),repr(i['company_type_size']), repr(i['industry']), repr(i['release_time']))try:# 执行sql语句cursor.execute(insert)# 执行sql语句db.commit()print("insert ok")except:# 发生错误时回滚db.rollback()db.commit()# 关闭数据库连接db.closeif __name__ == '__main__':for i in range(301, 451):print('开始存储第' + str(i) + '条数据中')url_pre = 'https://search.51job.com/list/000000,000000,0000,00,9,99,%25E6%2595%25B0%25E6%258D%25AE%25E5%2588%2586%25E6%259E%2590,2,'url_end = '.html?'url = url_pre + str(i) + url_endSaveSql(GetData(url))time.sleep(3)print('存储完成')

完成后效果

mysql 存储

Excel 存储(后续更新)

有不明白的地方欢迎提问

本文更新于2021年06月01日