import datetime from Requests_Except import * import pandas as pd base_url = 'www.qj050.com' protocol = 'https' headers = { 'accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7', 'accept-language': 'zh-CN,zh;q=0.9,en;q=0.8', 'cache-control': 'no-cache', 'content-type': 'application/x-www-form-urlencoded', 'origin': 'https://www.qj050.com', 'pragma': 'no-cache', 'priority': 'u=0, i', 'referer': 'https://www.qj050.com/account/quick?login_type=1&ref=/?from=h5', 'sec-ch-ua': '"Google Chrome";v="135", "Not-A.Brand";v="8", "Chromium";v="135"', 'sec-ch-ua-mobile': '?0', 'sec-ch-ua-platform': '"Windows"', 'sec-fetch-dest': 'iframe', 'sec-fetch-mode': 'navigate', 'sec-fetch-site': 'same-origin', 'sec-fetch-user': '?1', 'upgrade-insecure-requests': '1', 'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/135.0.0.0 Safari/537.36', } Requests = MR(base_url, protocol, headers) _keyword = "" pd_data = { 'resume_id': [], '姓名': [], '年龄': [], '生日': [], '工作经验': [], '最高学历': [], '婚姻状态': [], '电话': [], '意向岗位': [], '期望薪资': [], '工作性质': [], '求职状态': [], '工作地点': [], '工作经历1': [], '工作经历2': [], '工作经历3': [], '工作经历4': [], } def login(): url = '/account/login' params = { 'ref': '/?from=h5', } data = { '_type': '1', '_from': 'quick', 'account': '真贤8888', 'password': 'zhenxian8888', } response = Requests.post(url, params=params, data=data, autosave=True) response.cookies_dict() def get_page_for_keyword(keyword): global _keyword _keyword = keyword url = '/api/v1/resumes' params = { '_': str(int(time.time() * 1000 - 10000)), 'tab': 'resume', 'keyword': keyword, 't': str(int(time.time() * 1000)), 'pageSize': '100', 'pageIndex': '1', 'showStatus': 'true', } response = Requests.get(url, params=params) return response.to_Dict() def get_resumes_info(resumes_id): url = '/api/v1/resume/{}'.format(resumes_id) params = { '_': str(int(time.time() * 1000)), 'view_type': 'resumeLibrary', 'privacy_description': '1', } response = Requests.get(url, params=params) info = response.to_Dict().data data = { 'resume_id': resumes_id, '姓名': info.name, '年龄': info.age, '生日': info.birthday, '工作经验': info.work_exp_value, '最高学历': info.edu_value, '婚姻状态': info.marriage_value, '电话': info.phone, '意向岗位': ','.join([item.name for item in info.infoCateforyArrObj]), '期望薪资': info.salaryDesc, '工作性质': info.work_type_value, '求职状态': info.job_instant_value, '工作地点': info.job_region_value, } for i in range(4): # 0, 1, 2, 3 if i < len(info.works): work = info.works[i] data[f'工作经历{i + 1}'] = f"{work.company}:{work.content}" else: data[f'工作经历{i + 1}'] = '' return data def integration(keyword): global _keyword _keyword = keyword page = get_page_for_keyword(_keyword) for item in page.data.items: resumes_info = get_resumes_info(item.id) for key, value in resumes_info.items(): pd_data[key].append(value) df = pd.DataFrame(pd_data) df.to_excel(f'{datetime.datetime.now().strftime("%Y%m%d_%H%M%S")}_{_keyword}.xlsx', index=False) if __name__ == '__main__': integration("财务") # get_resumes_info('36859')