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Naver Trend Rank

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This repository contains code for a Flask-based RESTful API that ranks the columns of Excel files and returns the top 5 columns.

📥 Installation Guide

Step 1 : Clone the Repository

Clone the repository using the following command.

$ git clone https://github.com/sbeen1840/Excel-Files-Ranker-API.git

Step 2 : Install Dependencies

Note : It is recommended to use a conda environment with Python 3.6 with this code. Before running the commands in this guide, make sure you activate the environment using $ source activate <name of the env>

The use the requirements.txt file given in the repository to install the dependencies via pip.

$ pip install -r requirements.txt

Step 3 : Verify the installation of dependencies

To verify whether pandas, flask were installed properly, run the following.

$ python
>>> import pandas
>>> import flask

If there are no error messages upon importing the above dependencies, it would indicate that the they are correctly installed.

🔎 Usage

Step 1: Enter the keyword on the Naver Trends site and download the Excel file.

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Step 2: Create subfolders for each topic within the top-level folder.

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Step 3: Place the Excel files corresponding to each topic in their respective subfolders.

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Step 4: Modify the masterpath, extension, and folders parameters in the Ranker class to specify the location of your Excel files.

  self.masterpath = masterpath
  self.extension = extension
  self.folders = folders

Step 5 : Run the script by typing python main.py in the terminal.

$ python
>>> import pandas
>>> import flask

Step 6 : Access the data by visiting http://localhost:5000/home in your web browser.

After running the script, you can access keywords representing the search trend by visiting http://localhost:5000/home in your web browser. You can also see their search volume, normalized. The data will be presented in the form of json and sorted in descending order.

⚡Results

The API returns a JSON object containing the top 5 columns of each Excel file in the specified folders, ranked by the sum of the values in each column.

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🔥Execution

info/excel_files_ranker_api.ipynb describes the execution steps of this program pipeline in detail.

📝Notes

  • This code assumes that the first 5 rows of each Excel file are header information and skips them.

  • This code only works with .xlsx file extensions.

  • The API can be accessed at localhost:5000/home.

  • The code has only been tested on Windows machines.

👤 Authors

  • sbeen1840

🏷 License

  • This project is licensed under the MIT License - see the LICENSE file for details

🙏 Acknowledgments

✍ References