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The project involves collecting information and analyzing data on employment offers for analytical positions in Poland. Information collected: cost of employee, salary range, location of work.

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dryzzzy/Job_offer_analysis_webscraping

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Project Goal and Description

The goal of the project is to acquire, store, and interpret data on job offers published on the website nofluffjobs.com. The job positions being analyzed are:

  • Data Analyst
  • Data Engineer
  • Data Scientist

The project addresses the following questions:

  • What is the estimated cost of hiring such individuals?
  • What are the salary ranges proposed in each offer?
  • In which cities can such individuals be hired?
  • Is it possible for a team consisting of these three types of employees to be established in one city?

To solve this task, I am using the following tools and libraries:

  • Selenium: to gather information on currently existing job offers,
  • BeautifulSoup: to process unstructured data (HTML code) into structured data (DataSet),
  • Pandas: to perform data transformations,
  • Matplotlib: to present the results.

What each file consists of? The code is stored in 4 files in 'notebooks'. Each of the 4 files solves a different step of the project, from data collection to final analysis. 'Drivers' consists of the latest chromedriver.exe (version 127.0.6533.88 - download link -> https://storage.googleapis.com/chrome-for-testing-public/127.0.6533.88/win64/chromedriver-win64.zip). In case of obsolence go to this site https://googlechromelabs.github.io/chrome-for-testing/ and download the appropriate chromedriver version for your browser. 'Data' contains files processed when running subsequent notebooks with code.

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The project involves collecting information and analyzing data on employment offers for analytical positions in Poland. Information collected: cost of employee, salary range, location of work.

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