python判断招聘信息的存在 python爬虫判断招聘信息是否存在的实例代码
小妮浅浅 人气:0在找工作的时候，我们会选择上网查询招聘的信息，或者是通过一些招聘会进行现场面试。但由于信息更新不及时，有一些岗位会出现下架的情况，如果我们不注意的话，可能就扑了空。在时间上耽误了不说，面试的信息也会受到一点点打击。今天小编就教大家python爬虫来判断招聘信息是否存在。
首先这里需要一个判断某条招聘是否还挂在网站上的方法，这个暂时想到了还没弄，然后对于发布时间在两个月之前的数据，就不进行统计计算。
以下是完成代码：
{
"_id" : ObjectId("5a30ad2068504386f47d9a4b"),
"city" : "苏州",
"companyShortName" : "蓝海彤翔",
"companySize" : "100-499人",
"education" : "本科",
"financeStage" : "B轮",
"industryField" : "互联网",
"level" : 3,
"pid" : "11889834",
"positionLables" : [
"PHP",
"ThinkPHP"
],
"positionName" : "php研发工程师",
"salary" : {
"avg" : 7500.0,
"low" : 7000,
"high" : 8000
},
"time" : "2017-06-06",
"updated_at" : "2017-12-13 18:31:15",
"workYear" : "1-3年",
"detail" : "1、处理landcloud云计算相关系统的各类开发和调研工作；2、处理coms高性能计算的各类开发和调研工作岗位要求：1、本科学历，两年以上工作经验，熟悉PHP开发，了解常用的php开发技巧和框架；2、了解C++，python及Java开发；3、有一定的研发能力和钻研精神；4、有主动沟通能力和吃苦耐劳的精神。",
"location" : "苏州市高新区科技城锦峰路158号101park8幢"
实例扩展：
python爬虫爬取腾讯招聘信息 （静态爬虫）
import requests
from bs4 import BeautifulSoup
from math import ceil
header = {
'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/67.0.3396.99 Safari/537.36'}
# 获取岗位页数
def getJobPage(url):
ret = requests.get(url, headers=header)
ret.encoding = "utf-8" # 解决乱码问题
html = ret.text
soup = BeautifulSoup(html, 'html.parser')
# 获取岗位总数，< span class ="lightblue total" > 512 < / span >
totalJob = soup.select('span[class="lightblue total"]')[0].text
jobPage = ceil(int(totalJob) / 10)
return jobPage
def getJobOrder(url):
ret = requests.get(url, headers=header)
ret.encoding = "utf-8" # 解决乱码问题
html = ret.text
soup = BeautifulSoup(html, 'html.parser')
# 工作职责
jobRequests = soup.select('ul[class="squareli"]')[0].text
# 工作要求
jobOrder = soup.select('ul[class="squareli"]')[1].text
return jobRequests, jobOrder
# 获取岗位信息
def getJobInfo(url):
myfile = open("tencent_job.txt", "a", encoding='gb18030', errors='ignore') # 解决乱码问题
ret = requests.get(url, headers=header)
ret.encoding = "utf-8" # 解决乱码问题
html = ret.text
soup = BeautifulSoup(html, 'html.parser')
jobList = soup.find_all('tr', class_=['even', 'odd'])
for job in jobList:
# url
jobUrl = "https://hr.tencent.com/" + job.select('td:nth-of-type(1) > a')[0]['href']
# 职位名称
jobName = job.select('td:nth-of-type(1) > a')[0].text
# 人数
jobPeople = job.select('td:nth-of-type(3)')[0].text
# 地点
jobAddre = job.select('td:nth-of-type(4)')[0].text
# 发布时间
jobTime = job.select('td:nth-of-type(5)')[0].text
# 工作职责
jobRequests = getJobOrder(jobUrl)[0]
# 工作要求
jobOrder = getJobOrder(jobUrl)[1]
#print(jobName, jobUrl, jobAddre, jobPeople, jobTime, jobRequests, jobOrder)
tt = jobName + " " + jobUrl + " " + jobAddre + " " + jobPeople + " " + jobTime + " " + jobRequests + " " + jobOrder
myfile.write(tt + "\n")
if __name__ == '__main__':
mainurl = 'https://hr.tencent.com/position.php?keywords=python'
jobPage = getJobPage(mainurl)
print(jobPage)
for page in range(jobPage):
pageUrl = 'https://hr.tencent.com/position.php?keywords=python&start=' + str(page * 10) + '#a'
print("第" + str(page + 1) + "页")
getJobInfo(pageUrl)
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