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https://github.com/aravind-selvam/course_web_scrapping

iNeuron Webscraper Python Project using beautifulsoup and flask
https://github.com/aravind-selvam/course_web_scrapping

flask heroku ineuron ineuron-ai project pycharm-ide python

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iNeuron Webscraper Python Project using beautifulsoup and flask

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README 

        



[![forthebadge made-with-python](http://ForTheBadge.com/images/badges/made-with-python.svg)](https://www.python.org/)








  

    Logo 

  



Web Scraping Project



  


    Project Files

    


    Explore the Repo »

    


    


    View app code

    ·

     Scraper module

    ·

    Heroku Link

  





## 👨‍💻 About The Project

* Building a Web scraper for iNeuron website to get all courses information.

* Storing the scrapped data to MongoDB.

* Building a Flask App to view scrapped data.

* Deploying the app in Heroku or AWS.



## ❇️ Usage

*  Web scraping is a term for various methods used to collect data from across the Internet.

*  This web scraper extracts all the data on `iNeuron website's` all course information.

*  The scrapped data is then stored to user specified Mongodb database.



## 📌 Steps



* Installing Python, PyCharm, Monogodb, Git to Computer.

* Creating Flask app by importing `Flask` module.

* Getting information about iNeuron website.

* Gathering data from most static websites is a relatively straightforward process. However, **dynamic website like iNeuron**, JavaScript is used to load their content. These web pages require a different approach to collecting the desired public data.

* Scraping dynamic website using one of the most popular Python libraries, `BeautifulSoup `which can load the data into Json format by using `"script"` in `soup.find` method.



### Scraping and Inserting to DB

* With the Json data all the required data is stored into Dictionary format.

* Extracted all the course data using loops and stored as list.

* Mongodb Altas is used as DB here, with `pymongo library` mongodb is connected to python.

* Database and collections created via python and the list of dictionaries is uploaded using `collection.insert_many` method.

* Created an `app.py` to initialize



### Flask

* Importing the Flask module and creating a Flask web server from the Flask module.

* Create an object **app** in flask class with `__name__` which represents current app.py file.

* Create `/` route to render default page html.

* Create a route `/course` to get user input and if keyword is present in the Mongo DB it is shown in `results.html` page.

* Run the flask app with `app.run()` code.



### Heroku Deployment

* Create new repo in Github and push all the data using `Git`.

* Install Heroku CLI and login using `heroku login` and setup the app in Heroku Web.

* Connect with app `heroku git:remote -a appname`

* Push to Heroku using `git push heroku main`

* [Heroku Deployment Link](https://webscrapper-project-aravind.herokuapp.com/)



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### 🖥️ Deployed app demo



https://user-images.githubusercontent.com/97881558/165742945-16155120-5d1d-443b-bf8d-bf4eab149e3f.mp4



### ✨App Screenshot

[![Product Name Screen Shot](https://raw.githubusercontent.com/aravind9722/Flask_app_project/main/static/image/App%20screenshot.png)](https://webscrapper-project-aravind.herokuapp.com/)



### ✨ Mongodb Screenshot

![Screenshot 2022-04-28 170938](https://user-images.githubusercontent.com/97881558/165744310-9f53037e-1585-48e5-9ce7-641b2a79ac54.png)



### 🧰 **Technologies used**

[![Language | Python](https://img.shields.io/badge/Python-eeeeee?style=for-the-badge&logo=python&logoColor=ffffff&labelColor=3776AB)][python]

[![Framework & Library | Flask](https://img.shields.io/badge/Flask-eeeeee?style=for-the-badge&logo=flask&logoColor=000000&labelColor=fefefe)][flask]

[![Language | MongoDB](https://img.shields.io/badge/Mongo_DB-eeeeee?style=for-the-badge&logo=mongodb&logoColor=47A248&labelColor=fefefe)][mongodb]



### 🔧 **Tools used**

[![Tools used | PyCharm](https://img.shields.io/badge/PyCharm-eeeeee?style=for-the-badge&logo=PyCharm&logoColor=008000&labelColor=2C2C32)][PyCharm]

[![Tools used | Git](https://img.shields.io/badge/Git-eeeeee?style=for-the-badge&logo=git&logoColor=F05032&labelColor=f0efe7)][git]

[![Tools used | GitHub](https://img.shields.io/badge/Github-eeeeee?style=for-the-badge&logo=github&logoColor=ffffff&labelColor=181717)][github]

[![Tools used | Postman](https://img.shields.io/badge/Postman-eeeeee?style=for-the-badge&logo=postman&logoColor=FF6C37&labelColor=fefefe)][postman]

[![Tools used | Heroku](https://img.shields.io/badge/Heroku-eeeeee?style=for-the-badge&logo=heroku&logoColor=ffffff&labelColor=430098)][heroku]

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## 📌 Contact

[![Aravind Selvam | LinkedIn](https://img.shields.io/badge/Aravind_Selvam-eeeeee?style=for-the-badge&logo=linkedin&logoColor=ffffff&labelColor=0A66C2)][reach_linkedin]

[![Aravind Selvam | G Mail](https://img.shields.io/badge/aravind9722-eeeeee?style=for-the-badge&logo=gmail&logoColor=ffffff&labelColor=EA4335)][reach_gmail]

[![GodWin1100 | GitHub](https://img.shields.io/badge/aravind-eeeeee?style=for-the-badge&logo=microsoft-outlook&logoColor=ffffff&labelColor=blue)][reach_outlook]



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## 📌 Acknowledgments



* [iNeuron](https://github.com/iNeuronai)

* [Webscrapper Demo given in class](https://github.com/iNeuronai/sudhreviewscrap)



[PyCharm]: https://code.visualstudio.com/

[postman]: https://www.postman.com/

[git]: https://git-scm.com/

[github]: https://github.com/

[heroku]: https://www.heroku.com/

[microsoft_azure]: https://azure.microsoft.com/en-in/features/azure-portal/

[python]: https://www.python.org/

[mongodb]: https://www.mongodb.com/

[flask]: https://flask.palletsprojects.com/en/2.1.x/



[reach_linkedin]: https://www.linkedin.com/in/aravind-selvam/

[reach_gmail]: mailto:[email protected]?subject=Github

[reach_outlook]: mailto:[email protected]