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Access labour market statistics from the US Bureau of Labor Statistics including employment, unemployment, wages, inflation (CPI), and productivity data. Widely used in economic data pipelines for trend analysis, time-series modelling, and government data ingestion workflows.
Engineers use the BLS Public Data API v2 with `requests`, posting JSON series IDs to retrieve time-series data. The `blsapi` wrapper simplifies authentication. Results are parsed into pandas time-series indexed DataFrames for economic analysis.
BLS statistics ground AI economic analysis tools in official government data. RAG pipelines retrieve CPI and employment figures so LLM agents can answer 'What is the current US unemployment rate?' with authoritative, up-to-date data rather than outdated training knowledge.
# pip install requests pandas
import requests, pandas as pd
payload = {
"seriesid": ["LNS14000000"], # US unemployment rate
"startyear": "2020",
"endyear": "2024",
"registrationkey": "YOUR_API_KEY"
}
resp = requests.post("https://api.bls.gov/publicAPI/v2/timeseries/data/", json=payload)
series = resp.json()["Results"]["series"][0]["data"]
df = pd.DataFrame(series)[["year", "period", "value"]]
print(df.head(10))Official dataset source
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