Analysis job technologies

Parser of public information about vacancies for Python developer from site Djinni.co, save into csv file and analyse this information and creation graphics.

How diagram looks like


Key Features

1. Asynchronous Parsing with asyncio: Enable asynchronous data parsing using the asyncio library for efficient resource utilization and improved performance.

2. Optimized Processing: Utilize optimized algorithms to reduce the number of requests and optimize resource usage, ensuring efficient data processing.

3. Thoughtful Data Analysis: Employ carefully crafted strategies for data analysis, enabling comprehensive and meaningful insights from data processing.

Getting Started

To set up and run the project locally, follow these steps:

1. Clone the Repository:

   git clone https://github.com/AnyoneClown/djinni-scraping.git

2. Install Dependencies:

   pip install -r requirements.txt

3. Open file main.py in folder scraping and run the project

4. File vacancies.csv will be generated with data in folder scraping

5. To display the graphs, open the file analisys.ipynb file in data analysis folder and click Run All

Contributing

I welcome contributions to make this project even better. If you're interested in contributing, here's a step-by-step guide:

1. Fork the Repository: Click the "Fork" button on the top right of the repository's page to create your own fork.

2. Create a New Branch: Create a new branch for your feature or bug fix. Be descriptive with your branch name.

3. Implement Your Changes: Make your changes to the codebase. Ensure your code adheres to the project's coding standards.

4. Test Thoroughly: Test your changes rigorously to ensure they work as expected.

5. Submit a Pull Request: When ready, submit a pull request with details about your changes. Provide a clear and concise explanation of the problem and solution.