# Lns14000000 BLS Labor Statistics

**Use case:** 

Explore LNS14000000 with BLS Labor Statistics Scraper - Time Series Data. Run the tested configuration and export structured results as JSON, CSV, or Excel.

## Input

```json
{
  "seriesIds": [
    "LNS14000000"
  ],
  "startYear": 2025,
  "endYear": 2026,
  "includeAnnualAverage": false,
  "maxResults": 3
}
```

## Output

```json
{
  "series_id": {
    "label": "Series Id",
    "format": "text"
  },
  "year": {
    "label": "Year",
    "format": "number"
  },
  "period": {
    "label": "Period",
    "format": "text"
  },
  "period_name": {
    "label": "Period Name",
    "format": "text"
  },
  "value": {
    "label": "Value",
    "format": "number"
  },
  "latest": {
    "label": "Latest",
    "format": "text"
  },
  "footnotes": {
    "label": "Footnotes",
    "format": "text"
  },
  "series_url": {
    "label": "Series Url",
    "format": "link"
  },
  "source": {
    "label": "Source",
    "format": "text"
  }
}
```

## About this Actor

This example demonstrates how to use [BLS Labor Statistics Scraper - Time Series Data](https://apify.com/benthepythondev/bls-labor-statistics-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/benthepythondev/bls-labor-statistics-scraper) to learn more, explore other use cases, and run it yourself.