1. The Project
2. Technologies
3. Setup
4. Demo of How It Works
5. Developer Notes

Seekr is a web app where job seekers can search for open tech positions in the Bay Area and track application process. Features include:

• Toggleable views implementing Google APIs (Places, Maps)
• JIRA-like tracking board using React-DnD
• Automated web scraper with Beautiful Soup and Selenium
• API extensibility with Flask RESTful API

• Backend: Python, Flask, Flask RESTful API, PostgreSQL, SQLAlchemy
  
• Frontend: JavaScript, ReactJS, React-DnD, CSS, Bootstrap
  
• API: Google Places, Google Maps
  

Install the dependencies from requirements.txt using pip install:

$ pip install -r requirements.txt

Create Postgre database and seed with static data:

$ createdb soft
$ python model.py
$ python seed.py

Collect company's geolocation and rating info (you would need a Google Places API key):

$ python places.py

Start the server:

$ python server.py

• Homepage:

• User can search jobs by keyword or use quick search. Can click job card to view description detail. In the job detail page, user can save a job or apply job on company website:

• User can toggle to see the searching results on Google Map. Can click info window to view description detail as well:

• User can save a job, change its status or remove it from saving list. Each applied job stores user application history, includes status changing logs and personal notes:

• User can track interview process by dragging job card on the board. The board gets refreshed right after card dropping without a hard reload. There are "add note" and "add job" buttons for user to add interview notes or to manually create job cards to track.

• The web is currently live at http://seekr.link. Notice that I have stopped scraping more job post data, which means the searching results will be out of date. However, I encourage you to sign up and check out the tracking feature. You can still use it to manage your actual interview process by using the “add job” button, which creates your private job instance.
• In order to use the tracking tool feature, user must register with an email and password - the password is stored as a hash in the database.
• Repo of the web scraping script: https://github.com/airbaggie/web_scraper