How does Python crawl recruitment data and analyze it
This article will explain in detail how Python crawls the recruitment data and analyzes it. The content of the article is of high quality, so the editor will share it with you for reference. I hope you will have a certain understanding of the relevant knowledge after reading this article.
Preface
Pull hook recruitment is a professional Internet job recruitment platform. Committed to providing true and reliable Internet recruitment and job search information. Today, let's use python to collect the python recruitment information of retractor and analyze what skills you need to master to find a high-paying job.
Development environment:
Interpreter: Python 3.6.5 | Anaconda, Inc.
Editor: pycharm Community Edition
Knowledge points of this article:
Python Crawler Foundation
The use of json
The use of requests
Demand
Request the recruitment data of 300 items of python and write the information into a txt text.
Demand 1:
Get the following information
'city': City
'companyFullName': Company name
The size of companySize': Company
'' education': degree
'positionName': job title
'salary': salary
'workYear': working hours
Demand 2:
Split the information content with a comma (,) and write to the file. The file name is required to be `retractor position information .csv`.
For example:
Shanghai, Shanghai boiling Orange Information Technology Co., Ltd., 150,500 people, undergraduate, python,8k-12k, unlimited
Python crawler crawls the first 300 pieces of data
The code is as follows:
two。 Jobs in the city
About Python how to crawl recruitment data and analysis to share here, I hope the above content can be of some help to you, can learn more knowledge. If you think the article is good, you can share it for more people to see.
