Python获取拉勾网招聘信息（可视化展示）_在哪里可以看到这个语言在拉勾招聘多少人

1、获取拉勾网招聘信息

首先要明确拉勾网的招聘信息存储网页是post形式的，所以必须填写from_data信息。我们这里填的是from_data = {‘first’:‘true’, ‘pn’:‘1’, ‘kd’:‘设计’}，其中pn代表当前页码，kd就是我们搜索的职位关键词。 第二就是记得要用Session 获取动态cookies，否则爬下来的数据空空如也，还容易被封IP封号。

爬取结果如下

拉勾网每页有15条数据，默认显示30页，一共450条数据。我这里直接写死啦，大家可以根据需要修改爬取页数。也可以选择不获取“岗位要求”信息，或者其他不需要的信息。保存下来的文件是这个样子的。

原网页点击

先上全部代码：

导入使用的库

import pymongo
import requests
from bs4 import BeautifulSoup
import json
import pandas as pd
import time
from datetime import datetime
from pymongo import MongoClient

# 从职位详情页面内获取职位要求
def getjobneeds(positionId):
    '''

    :param positionId:
    :return:
    '''
    url = 'https://www.lagou.com/jobs/{}.html'
    headers = {
   
        'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/66.0.3359.181 Safari/537.36',
        'Host': 'www.lagou.com',
        'Referer': 'https://www.lagou.com/jobs/list_%E8%AE%BE%E8%AE%A1/p-city_0?px=default',
        'Upgrade-Insecure-Requests': '1'
    }

    s = requests.Session()
    s.get(url.format(positionId), headers=headers, timeout=3)  # 请求首页获取cookies
    cookie = s.cookies  # 为此次获取的cookies
    response = s.get(url.format(positionId), headers=headers, cookies=cookie, timeout=3)  # 获取此次文本
    time.sleep(5)  # 休息 休息一下

    soup = BeautifulSoup(response.text, 'html.parser')
    need = ' '.join([p.text.strip() for p in soup.select('.job_bt div')])
    return need


# 获取职位具体信息#获取职位具体
def getjobdetails(jd):
    '''

    :param jd:
    :return:返回结果集
    '''
    results = {
   }
    results['businessZones'] = jd['businessZones']
    results['companyFullName'] = jd['companyFullName']# 公司名
    results['companyLabelList'] = jd['companyLabelList']#
    results['financeStage'] = jd['financeStage']
    results['skillLables'] = jd['skillLables']
    results['companySize'] = jd['companySize']
    results['latitude'] = jd['latitude']
    results['longitude'] = jd['longitude']
    results['city'] = jd['city']
    results['district'] = jd['district']
    results['salary'] = jd['salary']
    results['secondType'] = jd['secondType']
    results['workYear'] = jd['workYear']
    results['education'] = jd['education']
    results['firstType'] = jd['firstType']
    results['thirdType'] = jd['thirdType']
    results['positionName'] = jd['positionName'] #职位
    results['positionLables'] = jd['positionLables']
    results['positionAdvantage'] = jd['positionAdvantage']
    positionId = jd['positionId']
    results['need'] = getjobneeds(positionId)
    time.sleep(2)  # 设置暂停时间，控制频率
    print(jd,
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