import csv from pandas import json import requests
fp = open('智联招聘.csv', 'wt', newline='', encoding='UTF-8') writer = csv.writer(fp) writer.writerow(('职位', '薪资', '学历','工作经验', '公司','公司人数', '地区', '福利', '链接'))
def geturl(city, keyword,working,education,companyType,page): paras = { 'start': '-1', 'pageSize': page, 'cityId': city, 'workExperience': working, 'education': education, 'companyType': companyType, 'employmentType': '-1', 'jobWelfareTag': '-1', 'kw': keyword, 'kt': '3', '_v': '0.93300214', 'x-zp-page-request-id': '6bda060a5be94fe5becd5af3465c33c4-1544103273892-946749' } url = 'https://fe-api.zhaopin.com/c/i/sou' result = json.loads(requests.get(url, params=paras).text)
return result
def get_data(result): for item in result['data']['results']: jobname = item['jobName'] companyname = item['company']['name'] companynumber = item['company']['size']['name'] xueli = item['eduLevel']['name'] salary = item['salary'] didian = item['city']['display'] workingExp = item['workingExp']['name'] url = item['positionURL'] fuli = item['welfare'] writer.writerow((jobname,salary,xueli,workingExp,companyname,companynumber,didian,fuli,url))
if __name__ == '__main__':
city = input("请输入工作的城市:") keyword = input("请输入你要找的工作:") working = input('工作经验:') companyType = input('公司类型:') education = input('学历要求:') tatol = eval(input("共需查找几条符合条件的信息:")) result = geturl(city,keyword,working,education,companyType,tatol) get_data(result)
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