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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

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