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Job Applicant Data Extraction

A SaaS (Software as a Service) based HR recruitment software is an application that helps organizations manage their recruitment process efficiently. Such software typically stores a wide range of data related to job applicants, such as their resumes, cover letters, offer letters, and background checks. This information is crucial for recruiters and HR professionals to make informed decisions while hiring new employees.
In the given scenario, the client wanted to extract all the above-mentioned data and store it on their local hard drive. This may be because the client wants to have a backup of the data or to use it for other purposes. Extracting data from a SaaS-based software may not always be straightforward and may require some technical expertise.
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Client
Incubator Design
Technologies and Standards
Power Virtual Agent, ChatGPT, Power Automate, SharePoint Sit
Powerapps
Apart from this, the client also wanted to append the basic profile details of the applicants to a JSON (JavaScript Object Notation) document so that it could be consumed in their legacy application. JSON is a lightweight data interchange format that is easy to read and write. This may be because the client’s legacy application might not be compatible with the SaaS-based software, and they need the applicant data to be integrated into their existing system.
The process of extracting data from a SaaS-based HR recruitment software and storing it on a local hard drive may involve several steps, such as identifying the relevant data fields, extracting data from each field, and organizing the data into a suitable format. Similarly, converting the applicant’s basic profile details into a JSON document may require understanding the structure of the legacy application and ensuring that the data is compatible with it.
Overall, extracting data from a SaaS-based software and integrating it into a legacy system requires careful planning and technical expertise to ensure that the process is successful and the data is accurate and usable.

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