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Custom Website of Indeed Job Postings from Catalina Island with Leaflet map, D3 HTML Table, and Heroku API map.

Home Page: https://claytonscreations.github.io/Indeed-Web-Scraping/

Jupyter Notebook 72.99% HTML 1.45% Python 0.12% JavaScript 24.43% CSS 1.01% Shell 0.01%
leaflet html javascript d3 css bootstrap postgresql htmltable heroku csv

indeed-web-scraping's Introduction

Indeed-Web-Scraping

Custom Website of Indeed Job Postings from Catalina Island with Leaflet map, D3 HTML Table, and Heroku API map. https://claytonscreations.github.io/Indeed-Web-Scraping/

image

Web Scraping

Began with using Python, BeautifulSoup to connect to indeed.com and pull the data fields we wanted. Built out a loop to create all the data that we could then export via csv file.

SQL

Utilized postgreSQL to build a table and import the data from our csv file and normalize the data.

Heroku

Created a heroku app that allows visitors to post new jobs to the site on a map.

HTML Table

used D3 to pull data from JSON files into a table that then is filtered to allow user to type and limit the job postings.

Leaflet

Utilized JavaScript Leaflet to map out the locations of the current postings. Due to the general addresses used on indeed, we clustered the markers on the map.

Data Limitations

We only pulled the data once and job postings would be outdated. Catalina Island had a limited number of jobs that we later realized many jobs were duplicates but posted on different days. Not much salary data available to compare.

Project Team

Mark Clayton

ClaytonsCreations

Estefany Amado

Eamado18

Jenny Bui

jbui009

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