How does the JSON output and object description table of job title enrichment API of People Data Labs work?

In this article, I will clarify the object table and JSON output specifically of People Data Labs job title enrichment API. As a programmer, you are likely familiar with object tables and JSON outputs. However, understanding the specific format and structure of these elements in the context of People Data Labs job title enrichment API is crucial for efficient and effective data processing. By providing a clear and concise explanation of these elements, I aim to help you better understand how to work with People Data Labs job title enrichment API and extract valuable insights from its data.

Table

1. cleaned_job_title: This object refers to the job title that matches the API input job_title after passing it through People Data Labs' internal job title cleaner. The job title cleaner is designed to standardize and normalize job titles, so that similar job titles can be grouped together for analysis.

2. similar_job_titles: This object refers to a list of up to five other job titles that are similar to the cleaned job title. The similar job titles are determined based on their similarity to the cleaned job title, and are useful for identifying related job titles and job categories.

3. relevant_skills: This object refers to a list of up to five of the most contextually-similar skills to the cleaned job title, determined using People Data Labs' global resume data. The relevant skills can be useful for identifying the key skills and competencies required for a particular job, and can be used for recruiting, training, and other HR-related purposes.

The information provided in the table is useful for anyone who works with job title data and wants to standardize, normalize, and analyze job titles effectively. The cleaned_job_title object provides a standardized version of the job title that can be used for grouping and comparison, while the similar_job_titles object helps identify related job titles and categories. Additionally, the relevant_skills object provides insight into the key skills and competencies required for a particular job, which can be valuable for recruiting and training purposes. Overall, the information in the table can be used to improve job title matching, standardization, and analysis, and can ultimately help organizations make better hiring and HR-related decisions.

Json output

The JSON output is a set of three objects that provide information about a job title. The cleaned_job_title object specifies the standardized and cleaned version of the job title as "supply manager". The similar_job_titles object contains a list of up to five similar job titles, including "senior supply manager", "supply chain manager", "supply specialist", "supply supervisor", and "supply coordinator". These job titles are related to the cleaned job title and can be used for analysis and grouping purposes. Finally, the relevant_skills object lists up to five key skills and competencies required for the job title. In this case, the relevant skills include "supply management", "spend analysis", "supplier development", "demand planning", and "strategic sourcing". This information can be useful for identifying the key skills required for a particular job, as well as for recruiting and training purposes.

{
"cleaned_job_title": "supply manager",
"similar_job_titles": [
"senior supply manager",
"supply chain manager",
"supply specialist",
"supply supervisor",
"supply coordinator"
],
"relevant_skills": [
"supply management",
"spend analysis",
"supplier development",
"demand planning",
"strategic sourcing"
]
}

Closing up

In this article today, we discussed the object table and JSON output of People Data Labs job title enrichment API. We described each object in detail and discussed how this information can be useful for standardizing, normalizing, and analyzing job titles effectively, and for identifying key skills and competencies required for a particular job. The information in the table and JSON output can ultimately help organizations make better hiring and HR-related decisions.

Note

It is possible for interested parties to request access to People Data Labs job title enrichment API through Worldindata's third-party data marketplace. This means that users can access the API and its various objects, such as cleaned_job_title, similar_job_titles, and relevant_skills, to standardize and analyze job titles and identify key skills and competencies required for specific jobs. To request access, interested parties can visit the Worldindata website or contact their customer support team to get more information on how to obtain access to the API.