A website that aggregates multiple job hunting websites into one. Taking job hunting websites indeed.com and monster.com and placing it into one universal search engine.
Created by Dharak Vasavda (d_vasavda@u.pacific.edu) and Nathan Luu (n_luu1@u.pacific.edu)
- React (Javascript Framework) as the end-user interaction
- Neflify for website hosting
- CSV for scraped job information storage
- Python will scrape the webpages and write out all data to the chosen storage solution
- Go to the root of the project dir
- Run the example command:
python3 scrape_all.py --searchterm "computer science" --location '95050'
All job data can be found under /front-end/src/csv/
All of the scraped job data will be placed into its respective jobs.csv file. From there, React framework will parse the lines of data in jobs.csv and display the results in its own webpage interface.
Using a service called Netlify. Whenever new code is pushed to this repository on branch master, Netlify (https://www.netlify.com) will build a new version of the website. Netlify uses CI/CD to detect updates to the branch and will automatically update the webpage.
- The website is Static. Hosting a dynamic website with React will run the project into using paid web hosting services which is out of the scope for this. This project runs as a proof-of-concept that multiple job hunting websites can be aggregated into one. As a side note, the service can be created into a dynamic one as the code is fully prepared for it.
- The data is static. It is scraped once per push to the repository and is then displayed onto the website. To enable live scraping, the repository would need to be hosted on a server which allows a database instance.
React, a JavaScript library (https://reactjs.org)
Link is above under "Link to App Website" as well: https://bit.ly/2VQZzfC
https://www.codediesel.com/data/quick-way-to-display-csv-files-as-html-tables/
https://ermir.net/topic-15/web-scraping-indeed-and-monster-job-portals-using-python