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Full Stack (NodeJS, ExpressJS, MongoDB, ReactJS) Search Engine (PageRank + Elasticlunr.js) using crawled data from the Carleton University Site. Hosted on AWS using Docker Containers.

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Search Engine

NodeJS Search Engine using ElasticLunr and PageRank algorithms to search through and index data based on website content with their incoming/outgoing links. I used Crawler.js to scrap data off of the Calreton University Scraping Test Website and stored data on MongoDB. Created the frontend using ReactJS and BootStrap 4 to be able to test the REST end points and organize the search results + correposiding website data. Dockerized the entire web application and hosted on an AWS EC2 instance.

REST End Point

GET /fruits?q=apple&limit=45&boost=false
/fruits contains 3 query paramaters
    q:      Is the query/the string that is being searched for
    limit:  Is the number of search results that is being returned, by default 10 results will return. 
            Maximum amount of results that can be returned is 50.
    boost:  Is a boolean value indicating if the you want the search results to be boosted by the page rank aglorithm.
            By default ElasticLunr search is done without page ranking.

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Full Stack (NodeJS, ExpressJS, MongoDB, ReactJS) Search Engine (PageRank + Elasticlunr.js) using crawled data from the Carleton University Site. Hosted on AWS using Docker Containers.

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