https://github.com/A-PS1999/seo-research-assistant-project

My first project, aiming to create a program that can help with SEO keyword research by carrying out a number of tasks and analyses.
https://github.com/A-PS1999/seo-research-assistant-project

python seotools software

Last synced: 2 months ago
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My first project, aiming to create a program that can help with SEO keyword research by carrying out a number of tasks and analyses.

• Host: GitHub
• URL: https://github.com/A-PS1999/seo-research-assistant-project
• Owner: A-PS1999
• License: gpl-3.0
• Created: 2020-12-07T21:15:43.000Z (about 4 years ago)
• Default Branch: master
• Last Pushed: 2021-06-06T06:58:49.000Z (over 3 years ago)
• Last Synced: 2024-08-01T19:54:05.573Z (5 months ago)
• Topics: python, seotools, software
• Language: Python
• Homepage:
• Size: 45.9 KB
• Stars: 7
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: readme.md
  • License: LICENSE

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• awesome - A-PS1999/seo-research-assistant-project - My first project, aiming to create a program that can help with SEO keyword research by carrying out a number of tasks and analyses. (Python)

README

        
SEO Research Assistant Project


This is my first independent project using Python. I 

created this program to demonstrate my ability to work 

with Python and express my interest in leveraging Python 

to create applications and software relevant to web 

development, digital marketing and Search Engine Optimization.

## Features

The program prompts the user to input a website URL and 

keywords of their choosing. Using the 'requests' module and 

BeautifulSoup, as well as general Python features, the 

program outputs the following data:

* Whether or not the URL is less than 60 characters long or 

not

* If the user-provided keywords are present or not in the 

URL.

* If the user-provided keywords are present or not on the 

  page and, if so, with how many times each keyword occurs.

* If various SEO stopwords are present in the URL or not.

* The number of broken (404) hyperlinks on the page, and 

a list of the broken links.

* An indication of the URL's page and domain authority.

The program also generates graphs of 'external pages to page'

 and 'external pages to root domain' metrics which are saved 

to a folder in the directory in which the application executable

 is located.

## Key Modules/Tech Used

* Python 3.8

* requests

* BeautifulSoup

* Matplotlib

* Tkinter

* Moz URL metrics API

## Installation Note

For the program to work fully as intended, you'll need to

 provide your own Moz API credentials as environment variables.

Your Moz ID should be a variable called `MOZ_ID` and your 

secret key should be a variable named `MOZ_SECRET`.

Without setting the above environment variables, the program

 will be unable to generate graphs on the 'external pages to page' 

and 'external pages to root domain' metrics.

## Credits

Created by me, Samuel Arnold-Parra.

Special thanks to the users of Stack Overflow and r/learnpython

 for helping me overcome some issues I faced during the 

development of this program.