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Scraping Large Volume of Job Listings | PromptCloud
 

Scraping Large Volume of Job Listings

If you want to scrape large volume of job listings from the web, the ideal solution is to depend on a web scraping solution that can extract data from job sites on a regular basis. Web scraping is the process of employing computers to visit and extract data from websites on automation. Since machines are faster than humans, it offers benefits like speed, consistency and scalability.  Here is how web scraping to extract job listings work.

Extract job listingsFinding source websites

Most job portals can work as great sources of job listings. However, choosing sites as sources for scraping is a much more complicated task. Many websites discourage web scraping by setting rules in their robots.txt or state their disapproval in their TOS. Such sites cannot be crawled as it could create legal issues later on. Source sites should also be reliable for the data flow to be consistent.

Data points

Data points are the types of information to be extracted from the job sites. The common data points associated with Job listings include job titles, location, wages, company profiles, Job descriptions and candidate resumes. In order to extract these data points, the person setting up the crawler has to identify what html tags are holding these pieces of information. The crawler is programmed using the identified tags.

What can you do with job listings?

Job listings extracted from various job portals have a variety of use cases in the recruitment industry. Running a job aggregator site, market research, using it to identify and hire the right candidate are a few of them. If you are running an HR consultancy, this data can be used for boosting your reach and revenue.

Why web scraping?

Web scraping is the best way to acquire data from the web given how fast and convenient it is. Once the crawler is set up, the data flows in almost instantaneously and very little manual intervention is needed after that. This makes web scraping a cost effective and efficient way to acquiring web data.

Extract job listings

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