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The challenge
The job market is huge and ever changing. Thousands of jobs are listed online, on various job portals every day. To list out these job alerts manually from job portals according to the requisite keywords, is extremely time consuming and tiring. In addition to this, it requires human resources exclusively dedicated to this work, which puts more financial strain on a firm.
Our client, suffering from the same issue, was looking for options to automate job listing based on keywords and organizations across different job search sites, primarily Google Job Search and welcometothejungle.com. The client wanted a job scraping tool, to scrap three main data points, the job title, the job URL, and the date when the job was posted, from these job search platforms.
The Solution
So, to simplify their search for employment opportunities, we came through with a job scraping software which would undertake web scraping on the websites mentioned by the clients in order to gather data on job listings in a simple, time and cost-efficient way.
Firstly, we created a job scraper bot to perform all the manual processes from searching for the companies and keywords on the listed job portals. We also built an API, which acts as a trigger that initiates the process.
Along with that, we integrated an n8n automation tool to give the process and environment a smooth and uninterrupted run. When the client clicks start in the n8n tool, it will initiate the process, and the scraper bot will run through the website and gather the required data.
When the scraper set is ready, the web crawlers start providing the data in the client’s required format. If the client provides the company name and keyword, the scraper will collect the job title, URL and data posted. If the company is not found, then it will give the result otherwise.
Advantages
- Swift Work Ethic: within a week we designed the technical aspects and set up the web crawlers, allowing the client to gather data in a shorter time.
- Industry Expertise: our hands-on experience in web scraping helped us design a solution that can quickly perform all the manual processes and control a vast amount of data.
- Affordable Alternative: the job scraper will be more affordable in terms of cost and time than the manual listing.
