Most companies today use the power of scraped data from job posting websites to quickly find talent and hire people that match the company’s needs, but obtaining this data can be challenging. However, there are ways of getting scraped job posting data, such as a real-time Indeed dataset, and today, we’ll dive deeper into bypassing these challenges.
Advantages of Job Posting Datasets
The days of manually going through CVs are long gone. Today, businesses rely on fresh firmographic datasets, from which they can recruit talented individuals, and which carry numerous advantages over traditional recruitment processes:
- Up-to-date information on talent;
- Structured data that’s easy to analyze;
- Millions of profiles with regular new additions.
These are just some of the main advantages, and there are certainly many others.
Challenges of Obtaining Job Posting Data
While firmographic data is incredibly advantageous for a company looking for talent, scraping said data can be particularly challenging and expensive. You’d need to access data from countless websites like Indeed, LinkedIn, Glassdoor, and JOOBLE, which have numerous anti-scraping measures like CAPTCHA codes and IP blocks.
For example, getting an Indeed dataset would require a headless browser and a rotating proxy, and you’d still end up with unparsed data. Then, you’d need to convert scraped data from an unstructured data format into a structured one, and only then can you analyze it and find talent.
Utilizing Scraped Data from Indeed
Finding a reliable web scraper from a trustworthy company can be challenging, while creating a custom one can be costly. These bots must be customized to scrape data from relevant job posting websites and modified to bypass numerous anti-scraping measures on data-rich websites.
Instead of going through these hoops, you can use an existing Indeed job posting dataset, instantly harnessing the power of structured data to take your hiring game to another level. From there, your analysts can obtain actionable insights, quickly finding talent in a real-time firmographic data dictionary.
Conclusion
Scraping, parsing, and analyzing job posting data is an expensive process. While extremely helpful for empowering your hiring team, it’s filled with challenges like bypassing anti-scraping measures and structuring obtained data before you can use it. Instead, using an existing real-time Indeed dataset is a far better way of finding talent on job posting websites.