Selenium Webscraping with Kalibrr

This project showcases web scraping of job postings from the Kalibrr website using a combination of BeautifulSoup and Selenium. It provides a deep dive into extracting relevant job data and serves as a guide on using these tools effectively together and deploying it on Flask app.

Project milestones:

Setting Up the Web Scraping Environment: Preparing your system for scraping with Selenium and BeautifulSoup.

Data Extraction: Accessing and extracting relevant job posting data from Kalibrr.

Data Visualization: Creating plots based on the extracted data

Data Presentation: Using Flask to visually present scraped data.

Below are some visual results obtained from the scraped data:

This graph shows the distribution of job postings by Indonesia top 10 areas, indicating the cities with the highest demand

The above visualization gives insights into how long the companies will open their job postings