News Scraper

Full Stack website that scrapes headlines from LA Times

Description

This full stack web site scrapes story headlines from the LA Times and allows for user comments to be added/removed to each story. Headlines, summary, link and comments are stored in a mongo database.

• Front-End Technology

  • HTML, CSS, JavaScript (ES6), jQuery, Bootstrap, Handlebars

  Back-End Technology

  • Node.js, Express.js, mongo.js, mongoose ORM, JavaScript (ES6), NPM packages (axios, cheerio,express, mongoose, morgan), Heroku

Details:

• Github project : News Scraper Repository

• Deployed Heroku link: News Scraper

• For further design and development details see:

  • UseCases and Psuedo Code

  • Test Cases

  • Database Schema and SQL Queries

• Demo walkthru GIF :

  • Use Cases seen in demo below
    • scrap brings in new stories
    • comment section: add comments, deleted comments
    • db persistence - browser refresh then app shows same comments

Screen Captures:

home page

comment section

Getting Started

Native and NPM Packages Used

1. express - for interactive command line response
2. mongoose - for database connectivity
3. axios - for web page scraping
4. cheerio - for JQuery like selection experience in node
5. handlebars - templating engine for rendering home page

Dependencies

• none -

Installing

• none necessary - use link to page deployed on Heroku

Executing program

• scrape new stories via nav button
• click on story comment button to open comment section
• add and delete comments
• link to LA Times story

Possible Enhancements

• allow user to mark stories as saved and purge old stories from db

Authors

Myles Carey [email protected]

Version History

• 1.0 - Initial Release

License

Acknowledgments

Thanks to beta testers - my 15yo & 17yo daughters and wife