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?
xpath_16">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：
python">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_text
def 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_list
def 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.close
if __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_end
SaveSql(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)
