电子版参考书:https://pan.baidu.com/s/15R08yEjLDj8FxrBwnUaTyA 注:仅限网上学习交流,如有侵权请联系我
我们一起学习┏(^0^)┛
自我介绍,我是一个python迈过基础游荡在爬虫自学之路的一只小蚂蚁。在计算机编程漫长枯燥的道路上,很多技术博客帮助了我,心怀感激,想把自己的经历也记录下来,这是我的第一篇博客,如有瑕疵请多包涵,谢谢~对了,如果你也是自学入门的,来试试hackerrank.com,我只是需要一个队友~你会有不一样的感受的^_^
安装第三方库经常报错:error: Microsoft Visual C++ 14.0 is required. Get it with "Microsoft Visual C++ Build Tools": http://landinghub.visualstudio.com/visual-cpp-build-tools
下载:https://download.microsoft.com/download/5/f/7/5f7acaeb-8363-451f-9425-68a90f98b238/visualcppbuildtools_full.exe?fixForIE=.exe. 安装挺久,但一劳永逸有木有哈哈?
安装selenium,chromedriver.exe地址:http://chromedriver.storage.googleapis.com/index.html?path=2.41/()
我的是windows系统,文件放在python/Scripts目录下,不用配置环境变量。本文只用Chrome爬虫。
照教程爬了猫眼排行榜还是啥也不懂的我,接了朋友给的艰巨任务:智联招聘(【内牛满面】)
所学库不多,但好歹迈出了第一步。对代码运行结果也有困惑,希望交流~
- from urllib.parse import urlencode
- import requests
- import json
- import csv
- import time
- def get_one_page(page):
- headers = {
- 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/69.0.3497.100 Safari/537.36'
- }
- params = {
- 'start': '',
- 'pageSize': '60',
- 'cityId': '489',
- 'workExperience': '-1',
- 'education': '-1',
- 'companyType': '-1',
- 'employmentType': '-1',
- 'jobWelfareTag': '-1',
- 'kw': '数据分析师',
- 'kt': '3',
- 'lastUrlQuery': {"p": page,
- "pageSize": "60",
- "jl": "489",
- "kw": "数据分析师",
- "kt": "3"
- }
- }
- base_url = 'https://fe-api.zhaopin.com/c/i/sou?'
- url = base_url + urlencode(params)
- # print(url)
- response = requests.get(url, headers=headers)
- try:
- if response.status_code == 200:
- return response.json()
- except Exception as e:
- print('Error:', e)
- @get_one_page
- def func(page):
- if page == 0:
- get_one_page().params.pop('start')
- get_one_page().params['lastUrlQuery'].pop('p')
- else:
- get_one_page().params['start'] = 60 * (page - 1)
- return get_one_page()
- def parse_page(json):
- if json.get('data'):
- data = json.get('data').get('results')
- data_list = []
- for item in data:
- job_name = item.get('jobName')
- salary = item.get('salary')
- company = item.get('company').get('name')
- welfare = item.get('welfare')
- city = item.get('city').get('name')
- work = item.get('workingExp').get('name')
- edu_level = item.get('eduLevel').get('name')
- data_list.append([job_name, company, welfare, salary, city, work, edu_level])
- print(data_list)
- return data_list
- def save_data(datas):
- with open('data_zhilian_findjob.csv', 'w') as csvfile:
- writer = csv.writer(csvfile)
- writer.writerow(['job_name', 'company', 'welfare,salary', 'city', 'workingExp', 'edu_level'])
- for row in datas:
- writer.writerow(row)
- def main():
- for page in range(20):
- json = get_one_page(page)
- data = parse_page(json)
- # print(data)
- time.sleep(0.8)
- save_data(data)
- if __name__ == '__main__':
- main()