The employment industry has never gone through such turbulent times as these. With the arrival of new roles to manage the different positions that have opened up based on client needs, job seekers must either improve their skills or change roles. Most employment agencies need web scraping workflow, but today it is more important than ever as almost all job postings are posted directly online, on multiple portals (for better reach). ). The scraping of data from Job Portal is increasing and with high demand. Let’s see how it is done.
What are your options?
As the owner of a job portal or an employment agency, you would like to make the most of the current situation and scratch more and more jobs and keep your feed up to date to attract more candidates on your website and drive conversions. But what are your options here?
Paid web scraping tools:
There are many paid web scraping tools in the market today. These tools are available at different prices, and some are even free, but come with limited functionality. They usually don’t require any coding knowledge and can be learned in a matter of days. The problem with these tools is that they all come with certain constraints and in the event that your business needs to switch between tools due to cost constraints, you will have to relearn the new tool.
Coding of your solutions:
Code your web scraping solution using an open-source language like Python which has heaps of third-party packages and a huge developer base, is the best idea. However, if you are starting from scratch – that is, if you have no previous coding or scratching experience – the learning curve can be quite steep. Also, web scraping is something one gets better at after scraping through hundreds of different types of websites. Recovering data from a single job portal can be a very different task compared to recovering data from ten, since all ten may come with different user interfaces, some may allow you to access to data once you log in, and some may even make you resolve a captcha.
It is the latest and easiest solution for businesses that want to get set up quickly and need their data in a plug and play format, so there is no backlog in the business. Our team at PromptCloud provides a fully automated job flow for your business through our tool called Pikr Jobs. Such an automated tool would mean that all you need to provide are your requirements and you will be able to use the data feed that is shared with you for your business. When using a DaaS like ours, you don’t have to worry about a learning curve or a separate team for infra and maintenance. You give the requirements and you get the data – that’s how easily DaaS makes it easy to retrieve data from job portals.
Recover job portal data like Indeed?
But suppose you want to recover data yourself for a DIY project. How easy or difficult would it be to say to recover data from website like Indeed? Well you can refer to the code below.
We use our usual combination of Request and BeautifulSoup, to capture the HTML content and then convert it to a BeautifulSoup object for easy parsing and extracting data points.
When you run the code, you will be asked 3 questions, to which we have provided these answers as you can see below –
After code execution is complete. It will ask you to verify the JSON file that it outputted. The JSON will contain a few job postings based on the values you provided earlier. Our values have produced many job offers. But we truncated it down to just 3 to show you how it worked.
If you go through the output JSON, you can see that there is a block for each tasklist and each of those blocks contains certain data points. The data points we extracted are:
- Company Name
Of those, we’ve narrowed down the details section to the first 100 characters, but depending on your usage, you can extract all the details or another specific number of characters or words.
We’ve shown you the code to retrieve data from a popular job portal, and it’s definitely not easy. We haven’t dealt with instances where the code might break or it might be blocked by the website. When you scratch 10 to 15 different job portals. You need to handle peak-case scenarios for everyone, as well as maintain your code and perform updates. It is based on UI updates for all websites. Fast updates are essential to reduce data downtime. If you look at all the factors at hand. This is no easy task, and unless you have a full-fledged web scraping team. You should leave such a task to a team of professionals like ours at JobsPikr.