📊 BLS Data Scraper | US Bureau of Labor Statistics API

🚀 Export US economic time series in seconds. Pull CPI, unemployment, employment, PPI and any of the thousands of BLS series for any date range. No API key, no registration, no CSV wrangling.

The BLS Data Scraper retrieves time series data from the official US Bureau of Labor Statistics API v2 and returns 9 fields per record, including the series identifier, human-readable title, year, period, value, footnotes, and collection timestamp. The BLS is the principal federal agency responsible for measuring labor market activity, working conditions, price changes, and productivity in the US economy.

The database covers every major US economic indicator - from consumer price inflation (CPI) and the unemployment rate to nonfarm payroll employment, hourly earnings, and the Producer Price Index. This Actor makes that data downloadable as CSV, Excel, JSON, or XML in seconds. All requests go directly to the official BLS API, so you get authoritative government data with no intermediaries.

🎯 Target Audience	💡 Primary Use Cases
Economists, financial analysts, data journalists, policy researchers, fintech developers, business intelligence teams, academic researchers	Inflation tracking, labor market analysis, economic dashboards, research datasets, financial modeling, policy briefs

📋 What the BLS Data Scraper does

Five data collection workflows in a single run:

• 📈 CPI tracking. Pull consumer price inflation month-by-month across any date range with CUUR0000SA0.
• 💼 Unemployment data. Fetch the official US unemployment rate series with LNS14000000.
• 🏭 Employment figures. Get total nonfarm payroll employment with CES0000000001.
• 💹 Producer prices. Retrieve the Producer Price Index for Final Demand with WPUFD4.
• 🔢 Any BLS series. Supply any valid BLS series ID and retrieve its full historical record.

Each record includes the series ID, human-readable series title (for the most popular series), year, period code (M01-M13 for months, Q01-Q05 for quarters, A01 for annual), period name, numeric value, footnotes (such as preliminary or revised data flags), and the timestamp when the record was collected.

💡 Why it matters: US economic indicators from the BLS are the primary inputs to inflation models, Federal Reserve policy decisions, and labor market research. Building your own pipeline means writing API wrappers, handling pagination, and refreshing by hand. This Actor skips all of that and delivers clean structured records on every run.

📊 Data fields

Each record includes: footnotes, period, periodName, results, scrapedAt, seriesId, seriesTitle, value, year. These field names come straight from the actor's dataset schema, so what you see here is what lands in your dataset.

🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the BLS Data Scraper page on the Apify Store.
3. 🎯 Set input. Enter the BLS series IDs you want, choose a start/end year, and set maxItems.
4. 🚀 Run it. Click Start and let the Actor collect your data.
5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.

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💡 Pro Tip: browse the complete ParseForge collection for more US government data scrapers.

This Actor uses the official, publicly accessible BLS API v2 (api.bls.gov). Data is owned by the US Bureau of Labor Statistics and is in the public domain. The Actor is not affiliated with, endorsed by, or officially connected to the US Bureau of Labor Statistics or the US Department of Labor.

🆘 Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.

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