python使用requests库爬取拉勾网招聘信息的实现

按F12打开开发者工具抓包，可以定位到招聘信息的接口

在请求中可以获取到接口的url和formdata，表单中pn为请求的页数，kd为关请求职位的关键字

使用python构建post请求

data = {
  \'first\': \'true\',
  \'pn\': \'1\',
  \'kd\': \'python\'
}

headers = {
  \'referer\': \'https://www.lagou.com/jobs/list_python/p-city_0?&cl=false&fromSearch=true&labelWords=&suginput=\',
  \'user-agent\': \'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/86.0.4240.198 Safari/537.36\'
}

res = requests.post(\"https://www.lagou.com/jobs/positionAjax.json?needAddtionalResult=false\", data=data,headers=headers)
print(res.text)

发现没有从接口获取到数据

换了个网络后接口还是会返回操作频繁的错误信息，仔细检查后发现这个接口需要一个动态的cookies不然会一值返回错误频繁

data = {
  \'first\': \'true\',
  \'pn\': \'1\',
  \'kd\': \'python\'
}

#头部中必须有user-agent和referer不然不会返回cookies
headers = {
  \'referer\': \'https://www.lagou.com/jobs/list_python/p-city_0?&cl=false&fromSearch=true&labelWords=&suginput=\',
  \'user-agent\': \'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/86.0.4240.198 Safari/537.36\'
}

#通过访问主页获取cookies
r1= requests.get(\"https://www.lagou.com/jobs/list_python/p-city_0?&cl=false&fromSearch=true&labelWords=&suginput=\'\",headers=headers)

#再post请求中传入cookies
r2 = requests.post(\"https://www.lagou.com/jobs/positionAjax.json?needAddtionalResult=false\", data=data,headers=headers, cookies=r2.cookies)
print(r2.text)

注意！每请求十次接口cookies也会刷新一次,下面贴上完整爬虫代码

import json
import logging

import requests

#获取cookie
def getCookie():
  res = requests.get(\"https://www.lagou.com/jobs/list_python/p-city_0?&cl=false&fromSearch=true&labelWords=&suginput=\",
        headers=headers)
  return res.cookies

#获取json数据
def getPage(i, cookies, kw):
  data = {
    \'first\': \'true\',
    \'pn\': i,
    \'kd\': kw
  }
  res = requests.post(\"https://www.lagou.com/jobs/positionAjax.json?needAddtionalResult=false\", data=data,
             headers=headers, cookies=cookies)
  return json.loads(res.text)

#合并列表
def reduceList(l):
  text = \"\"
  for i in l:
    text += i + \" \"
  return text.strip()

#提取字段并保存到文件中
def saveInCsv(f, data):
  js = data[\"content\"][\"positionResult\"][\"result\"]
  for node in js:

    # 对空值进行处理
    district = node[\"district\"]
    if district != None:
      district = \"-\" + district
    else:
      district = \"\"

    f.write(
      node[\"positionName\"] + \"·\" + node[\"city\"] + district + \"·\" + node[
        \"salary\"] + \"·\" +
      node[\"workYear\"] + \"·\" + node[\"education\"] + \"·\" + reduceList(node[\"skillLables\"]) + \"·\" +
      node[\"companyShortName\"] + \"·\" + node[\"companySize\"] + \"·\" + node[\"positionAdvantage\"] + \"\\n\")

if __name__ == \'__main__\':
  #定义头部
  headers = {
    \'referer\': \'https://www.lagou.com/jobs/list_python/p-city_0?&cl=false&fromSearch=true&labelWords=&suginput=\',
    \'user-agent\': \'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/86.0.4240.198 Safari/537.36\'
  }

  #初始化cookie
  cookies = getCookie()

  with open(\"file.csv\", \"w\", encoding=\"utf-8\") as f:
    for i in range(1, 31):
      #每十个请求重新获取cookie
      if (i % 10 == 0):
        cookies = getCookie()

      #解析字段并存储
      data = getPage(i, cookies, \"python\")
      saveInCsv(f, data)

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