Salary Benchmarking
Lightcast data helps answer evolving salary and compensation questions across roles, skills, and markets. These use cases show how to retrieve advertised wages, market salary benchmarks, and national salary metrics using standardized occupations and skills.
Use Cases
Standard Occupational Classification (SOC) Level Compensation Insights
Normalize a raw job title to the government Standard Occupational Classification (SOC), and then use that SOC to retrieve related compensation data.
APIs Used
- Authentication
- Classification – Normalize the raw title to the SOC
- Compensation API – Retrieve compensation data using the SOC
Python Example
Get Advertised Wages for a Given Lightcast Occupational Taxonomy (LOT)
Normalize a raw job title to the Lightcast Occupational Taxonomy (LOT), and then use job postings data to retrieve wages for the related occupation.
APIs Used
- Authentication
- Classification – Normalize the raw title to the Lightcast Occupational Taxonomy (LOT)
- Job Postings API – Retrieve advertised wages for the related LOT
Python Example
Market Salary for a Role
Normalize raw job titles to the Lightcast Occupational Taxonomy (LOT), and then use the Market Salary API to retrieve salary benchmarks for the related role.
APIs Used
- Authentication
- Classification – Normalize the raw job title to the Lightcast Occupational Taxonomy (LOT)
- Market Salary API – Retrieve market salary data for the related LOT
Python Example
National Salary Metrics for Lightcast Occupational Taxonomy (LOT)
Normalize raw job titles to the Lightcast Occupational Taxonomy (LOT), and then retrieve national salary percentiles for the related occupation.
APIs Used
- Authentication
- Classification – Normalize the raw title to the Lightcast Occupational Taxonomy (LOT)
- Market Salary API – Retrieve national salary percentiles for the related LOT
Python Example
National Salary Metrics for Skills
Normalize raw skills to standardized skills, and then retrieve national salary percentiles associated with those skills.
APIs Used
- Authentication
- Classification – Normalize raw skills to standardized skills
- Market Salary API – Retrieve salary percentiles for the given skill
Python Example
Updated about 1 month ago
