import urllib.request
from bs4 import BeautifulSoup
import time
import pymysql
def headers_request(url):
headers={ 'User-Agent':'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/93.0.4577.63 Safari/537.36'
}
request=urllib.request.Request(url,headers=headers)return request
解析内容
def parse_content(content, db):
# 生成soup对象soup = BeautifulSoup(content,'lxml')# 先找蕴含所有工作的divodivbox = soup.find('div',id='resultList')# 首先找到蕴含所有工作的divodiv_list = odivbox.find_all('div',class_='el')[1:]# print(len(odiv_list))for odiv in odiv_list: # 职位名称 jobname = odiv.select('.t1 > span > a')[0]['title'] # 公司名称 company = odiv.select('.t2 > a')[0]['title'] # 工作地点 area = odiv.select('.t3')[0].string # 职位月薪 salary = odiv.select('.t4')[0].string # 公布工夫 publish_time = odiv.select('.t5')[0].string # print(salary, publish_time) # 保留到字典中 item = { '职位名称':jobname, '公司名称':company, '工作地点':area, '职位月薪':salary, '公布工夫':publish_time } # 保留到文件中 # string = str(item) + '\n' # fp.write(string) # 保留到mysql中 save_to_mysql(db,item)
def save_to_mysql(db,item):
# 获取游标cur = db.cursor()# 执行sql语句sql = """insert into work(jobname,company,area,salary,publish_time) values('%s','%s','%s','%s','%s')""" % (item['职位名称'], item['公司名称'], item['工作地点'], item['职位月薪'], item['公布工夫'])# print(sql)try: cur.execute(sql) #提交 db.commit()except Exception as e: # print(e) #谬误回滚 db.rollback()
def main():
# fp = open('work.txt','w',encoding='utf8')# 链接数据库db = pymysql.connect(host="xxxx",user="xxxx",password="xxxxxx",db="xx",port=xxxx,charset='utf8')# 用户输出要搜寻工作关键字keyword = input('请输出要搜寻的关键字-')# 用户输出要爬取的起始和完结页码start_page = int(input('请输出要爬取的起始页码-'))end_page = int(input('请输出要爬取的完结页码-'))# 要拼接的起始urlurl = 'https://search.51job.com/list/010000,000000,0000,00,9,99,{},2,{}.html'# 写循环,每一页开始挨着爬取for page in range(start_page,end_page + 1): print('[金融期货](https://www.gendan5.com/futures/ff.html)正在爬取第%s页......' % page) # 拼接url url_page = url.format(keyword,page) # print(url_page) # 构建申请对象 request = headers_request(url_page) # 发送申请,失去响应 content = urllib.request.urlopen(request).read().decode('gbk') # 解析内容 parse_content(content,db) print('完结爬取第%s页' % page) time.sleep(2)# fp.close()db.close()
if name == '__main__':
main()