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📰 New York Times article search application built in React that allows users to query and display articles based on their searches and save these articles to a database.

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New York Times Article Scrubber

The React New York Times Article Scrubber uses the React mounting lifecycle to query & display articles based on user searches. Users can also save them to read later using Mongo.

View the completed app on Heroku here

screen shot 2018-07-28 at 4 41 03 pm

screen shot 2018-07-28 at 4 40 51 pm

screen shot 2018-07-28 at 4 38 57 pm

INSTRUCTIONS:

  • Use the form fields to enter your search topic, plus the range of years (start and end years) for your search

  • The app will query the New York Times API and up to 10 results will be displayed on the page. The results include the article title, a snippet from the article, the publishing date, and a link to read the article.

  • By pressing the SAVE button, the article is saved to the Mongo database. All saved articles can be accessed using the SAVED ARTICLES link in the nav bar. The saved articles display the saved date and can be deleted.

Technologies Used:

  • React
  • MongoDB
  • Mongoose
  • Express
  • Node.js
  • Javascript
  • Bootstrap
  • HTML
  • CSS

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📰 New York Times article search application built in React that allows users to query and display articles based on their searches and save these articles to a database.

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