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BLS labor statistics

US Bureau of Labor Statistics time series: list surveys, discover series ids (curated Top Picks and full flat-file catalogs), read a series catalog page, and retrieve employment, wage, price and inflation observations from the keyless public API; plus QCEW Open Data CSV slices (county, state, MSA and national employment and wages by ownership, industry and establishment size) with a version check, paged listing and single-cell lookup.

7 Firecrawl tools use BLS labor statistics
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Get the US seasonally adjusted unemployment rate from BLS for 2024 through 2026, with monthly observation dates.

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BLS labor statistics
TRY ASKING
1Request
string

3-digit county FIPS within the state; requires state_fips.

number

end_year

boolean

Default true for nation and state; must be false or omitted for counties.

number

start_year

string

2-digit state FIPS (06 California, 48 Texas, 36 New York). Omit for the national rate.

5 credits
Codefollows the fields above
const result = await firecrawl.scrape({
  alexandria: {
    provider: "bls-gov",
    capability: "economic-statistics/bls_unemployment_rate",
    options: {
      end_year: 2026,
      start_year: 2025,
      state_fips: "06",
    },
  },
});
2Response example

This is a sample shape. Press Run to see live data from BLS labor statistics.

{
  "area_code": "06",
  "area_type": "state",
  "count": 20,
  "exists": true,
  "first_date": "2025-01-01",
  "last_date": "2026-08-01",
  "latest": {
    "date": "2026-08-01",
    "footnotes": [
      "P: Preliminary."
    ],
    "latest": true,
    "period": "M08",
    "period_name": "August",
    "raw_value": "5.1",
    "value": 5.1,
    "year": 2026
  },
  "messages": [],
  "observations": [
    {
      "date": "2025-01-01",
      "footnotes": [],
      "latest": false,
      "period": "M01",
      "period_name": "January",
      "raw_value": "5.4",
      "value": 5.4,
      "year": 2025
    },
    {
      "date": "2025-02-01",
      "footnotes": [],
      "latest": false,
      "period": "M02",
      "period_name": "February",
      "raw_value": "5.4",
      "value": 5.4,
      "year": 2025
    },
    {
      "date": "2025-03-01",
      "footnotes": [],
      "latest": false,
      "period": "M03",
      "period_name": "March",
      "raw_value": "5.4",
      "value": 5.4,
      "year": 2025
    },
    {
      "date": "2025-04-01",
      "footnotes": [],
      "latest": false,
      "period": "M04",
      "period_name": "April",
      "raw_value": "5.4",
      "value": 5.4,
      "year": 2025
    },
    {
      "date": "2025-05-01",
      "footnotes": [],
      "latest": false,
      "period": "M05",
      "period_name": "May",
      "raw_value": "5.5",
      "value": 5.5,
      "year": 2025
    },
    {
      "date": "2025-06-01",
      "footnotes": [],
      "latest": false,
      "period": "M06",
      "period_name": "June",
      "raw_value": "5.5",
      "value": 5.5,
      "year": 2025
    },
    {
      "date": "2025-07-01",
      "footnotes": [],
      "latest": false,
      "period": "M07",
      "period_name": "July",
      "raw_value": "5.5",
      "value": 5.5,
      "year": 2025
    },
    {
      "date": "2025-08-01",
      "footnotes": [],
      "latest": false,
      "period": "M08",
      "period_name": "August",
      "raw_value": "5.5",
      "value": 5.5,
      "year": 2025
    },
    {
      "date": "2025-09-01",
      "footnotes": [],
      "latest": false,
      "period": "M09",
      "period_name": "September",
      "raw_value": "5.5",
      "value": 5.5,
      "year": 2025
    },
    {
      "date": "2025-10-01",
      "footnotes": [
        "X: Data unavailable due to the 2025 lapse in appropriations."
      ],
      "latest": false,
      "period": "M10",
      "period_name": "October",
      "raw_value": "-",
      "value": null,
      "year": 2025
    },
    {
      "date": "2025-11-01",
      "footnotes": [],
      "latest": false,
      "period": "M11",
      "period_name": "November",
      "raw_value": "5.5",
      "value": 5.5,
      "year": 2025
    },
    {
      "date": "2025-12-01",
      "footnotes": [],
      "latest": false,
      "period": "M12",
      "period_name": "December",
      "raw_value": "5.5",
      "value": 5.5,
      "year": 2025
    },
    {
      "date": "2026-01-01",
      "footnotes": [],
      "latest": false,
      "period": "M01",
      "period_name": "January",
      "raw_value": "5.4",
      "value": 5.4,
      "year": 2026
    },
    {
      "date": "2026-02-01",
      "footnotes": [],
      "latest": false,
      "period": "M02",
      "period_name": "February",
      "raw_value": "5.4",
      "value": 5.4,
      "year": 2026
    },
    {
      "date": "2026-03-01",
      "footnotes": [],
      "latest": false,
      "period": "M03",
      "period_name": "March",
      "raw_value": "5.3",
      "value": 5.3,
      "year": 2026
    },
    {
      "date": "2026-04-01",
      "footnotes": [],
      "latest": false,
      "period": "M04",
      "period_name": "April",
      "raw_value": "5.3",
      "value": 5.3,
      "year": 2026
    },
    {
      "date": "2026-05-01",
      "footnotes": [],
      "latest": false,
      "period": "M05",
      "period_name": "May",
      "raw_value": "5.3",
      "value": 5.3,
      "year": 2026
    },
    {
      "date": "2026-06-01",
      "footnotes": [],
      "latest": false,
      "period": "M06",
      "period_name": "June",
      "raw_value": "5.2",
      "value": 5.2,
      "year": 2026
    },
    {
      "date": "2026-07-01",
      "footnotes": [],
      "latest": false,
      "period": "M07",
      "period_name": "July",
      "raw_value": "5.1",
      "value": 5.1,
      "year": 2026
    },
    {
      "date": "2026-08-01",
      "footnotes": [
        "P: Preliminary."
      ],
      "latest": true,
      "period": "M08",
      "period_name": "August",
      "raw_value": "5.1",
      "value": 5.1,
      "year": 2026
    }
  ],
  "observed_at_ms": 1790283448340,
  "seasonally_adjusted": true,
  "series_id": "LASST060000000000003",
  "source_url": "https://data.bls.gov/timeseries/LASST060000000000003",
  "units": "percent"
}

Firecrawl tools

7

Ready-made Firecrawl tools that call BLS labor statistics.

Uses BLS labor statistics, FRED (Federal Reserve Economic Data), XE currency data, MSC shipment tracking and schedulesImported ingredient cost pass-throughUse when a food manufacturer's procurement manager is deciding how much of an imported ingredient's cost rise to pass on. Reads consumer and import price indexes for the category, the supplier currency against the dollar, ocean sailing options and transit times from origin, then frames the pass-through decision.8 toolsOpen
Uses BLS labor statistics, US Census Bureau, FDIC BankFind Suite, USFS Wildfire Risk to CommunitiesCounty credit snapshot for a municipal bondUse when a municipal bond credit analyst reviews a county or county-backed issuer before buying or at a rating review. Pulls unemployment, population, income and housing data for the county, local bank deposit trends and wildfire or hazard exposure, producing a credit snapshot with trends and red flags.6 toolsOpen
Uses US Census Bureau, BLS labor statistics, CMS data.cms.gov, OpenStreetMap, Socrata open-data portals+1Community health needs assessment data packUse when a nonprofit hospital's community benefit manager starts the triennial community health needs assessment. Pulls poverty, insurance, age and language from Census data, county unemployment from BLS, local hospital quality from CMS, and access to pharmacies and groceries from the map, then adds county open-data health datasets into a sourced secondary-data pack.8 toolsOpen
Uses ZipRecruiter US, BLS labor statistics, fredOffer salary benchmarkUse when a recruiter, hiring manager or candidate needs to price a job offer for a specific title and city. Combines marketplace salary percentiles, the pay range on live postings and official occupational wage data, adjusted for inflation, to produce a defensible range with the evidence behind each number.7 toolsOpen
Uses Nissan USA dealer locator and inventory, US Census Bureau, BLS labor statistics, MapsDealership acquisition market screenUse when a dealer group's corporate development director is screening a franchised dealership for acquisition. Reads same-brand dealer density around the target, the target's inventory depth, county population, income and unemployment, and customer review ratings and trend, then frames the market's strengths and risks.7 toolsOpen
Uses Grants.gov, US Census Bureau, BLS labor statistics, USAspendingGrant need-statement data packUse when a nonprofit or local-government grant writer is drafting the statement of need for a federal grant application. Reads the opportunity's eligibility and priorities, pulls Census and BLS figures for the exact service area, and shows who in the state already received awards under the same assistance listing, so the narrative is specific and sourced.6 toolsOpen
Uses U.S. House Clerk roll call votes and members, USAspending, US Census Bureau, BLS labor statistics, Grants.gov+1District federal spending town-hall briefUse when a congressional district director or caseworker prepares a member for a town hall. Resolves the member and delegation, totals federal contracts and grants placed in the district's counties, adds local unemployment and income context, and lists open grant opportunities local governments can still apply for, so the member can speak to dollars and next steps.8 toolsOpen

Benchmarks

Public records benchmarks

Quality, speed and cost, last 24 hours, across every agent call to BLS labor statistics through Alexandria.

Quality
98.1%
Calls answered without a tool error
Speed
1.0 s
95% of successful calls finish faster
Cost
5 credits
Firecrawl credits per call
Calls
104
Last 24 hours, every Alexandria user

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