BLS Salary & Employment Data Scraper
Pricing
from $10.00 / 1,000 results
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BLS Salary & Employment Data Scraper
Scrape Bureau of Labor Statistics for salary, employment, and wage data. Uses BLS Public Data API for OES occupational stats by area and industry.
Pricing
from $10.00 / 1,000 results
Rating
0.0
(0)
Developer
lulz bot
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
3 days ago
Last modified
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Scrape the Bureau of Labor Statistics Public Data API for salary, employment, wage, and consumer price data.
Features
- Occupational Wages (OES): Mean/median hourly and annual wages, employment counts, percentile wages by occupation code
- Industry Employment (CES): Employment, weekly hours, and hourly earnings by industry sector
- Consumer Price Index (CPI): CPI data for food, housing, medical, energy, gasoline, and overall
- Custom Series: Query any BLS series ID directly
Input
| Field | Type | Description |
|---|---|---|
mode | string | occupational (default), industry, cpi, or custom |
occupations | string[] | SOC codes like 15-1252 (Software Developers) |
areaCode | string | BLS area code (default: 0000000 = National) |
industryCode | string | NAICS code (default: 000000 = All Industries) |
startYear | integer | Start year (default: 2020) |
endYear | integer | End year (default: 2024) |
customSeriesIds | string[] | Custom BLS series IDs for custom mode |
Common SOC Occupation Codes
| Code | Occupation |
|---|---|
00-0000 | All Occupations |
15-1252 | Software Developers |
29-1141 | Registered Nurses |
13-2011 | Accountants and Auditors |
53-3032 | Truck Drivers |
47-2111 | Electricians |
11-1021 | General/Operations Managers |
Output Example
{"occupation": "Software Developers","occupationCode": "15-1252","area": "National","industry": "All Industries","year": 2024,"employment": 1795300,"meanHourlyWage": 63.45,"meanAnnualWage": 131990,"medianHourlyWage": 59.46,"medianAnnualWage": 123710,"pct10AnnualWage": 74930,"pct90AnnualWage": 199450,"source": "BLS Occupational Employment and Wage Statistics (OES)"}
Use Cases
- Salary benchmarking and negotiation research
- Labor market analysis
- Cost of living comparisons
- Economic trend tracking
- HR and recruiting market intelligence
Cost
This actor uses pay-per-event pricing at $0.005 per result.