Get a ranking of a selected facet with timeseries data
Group and rank postings by {ranking_facet} with a monthly or daily timeseries for each ranked group. Use YYYY-MM date format in the timeseries time-frame filter, timeseries.when, to get monthly summary of each ranked group, or use YYYY-MM-DD date format for daily summary.
Request
- Base URLhttps://api.lightcast.io/alumni-pathways
- URLhttps://api.lightcast.io/alumni-pathways/rankings/{rankingFacet}/timeseries
- AuthOAuth 2Client credentialsToken URL: https://auth.emsicloud.com/connect/token scopes: alumni-pathways
Path parameters
The facet to rank by.
Query parameters
Specify SOC taxonomy version to use.
Specify ONET taxonomy version to use.
Specify Job Title taxonomy version to use.
Specify company taxonomy version to use.
Specify NAICS taxonomy version to use.
Use new taxonomy versions.
Specify Area taxonomy version to use.
Specify US Area taxonomy version to use.
Specify SOC Lightcast taxonomy version to use.
Specify ONET Standard taxonomy version to use.
Specify LOT taxonomy version to use.
Request body
Example request
{
"filter": {
"company_is_staffing": true,
"is_fortune100": true,
"is_fortune1000": true,
"is_fortune500": true,
"is_hwol": true,
"is_internship": true,
"is_supervisor": true,
"keywords": {
"query": "work/life balance"
},
"max_salary": {
"lower_bound": 55000,
"upper_bound": 80000
},
"max_years_experience": {
"lower_bound": 4,
"upper_bound": 6
},
"min_salary": {
"lower_bound": 55000,
"upper_bound": 80000
},
"min_years_experience": {
"lower_bound": 1,
"upper_bound": 3
},
"posting_duration": {
"upper_bound": 30
},
"salary": {
"lower_bound": 60000,
"upper_bound": 70000
},
"when": {
"end": "2019-06",
"start": "2018-06"
}
},
"timeseries": {
"when": {
"end": "2019-06",
"start": "2018-06"
}
}
}Response
OK
Changes
No recorded changes to this operation across all 1 revision of this API.