📈 BLS Wage Data Scraper

🚀 Collect U.S. economic data from the Bureau of Labor Statistics. Get CPI, unemployment rates, employment levels, hourly earnings, and PPI data. Select from 8 pre-built series or enter custom IDs. No coding required.

Pull structured records from BLS Wage Data — clean fields ready as CSV, JSON, JSONL, Excel, or XML for downstream pipelines.

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parseforge/bls-wage-data-scraper on Apify. Call: ApifyClient("TOKEN").actor("parseforge/bls-wage-data-scraper").call(run_input={...}), then client.dataset(run["defaultDatasetId"]).list_items().items for results. Key inputs: maxItems (integer, default 10), seriesId (string, default "CUUR0000SA0"), customSeriesId (string), startYear (string, default "2022"), endYear (string, default "2024"), registrationKey (string). Full actor spec: fetch build via GET https://api.apify.com/v2/acts/parseforge~bls-wage-data-scraper (Bearer TOKEN). Get token: https://console.apify.com/account/integrations

The BLS Wage Data Scraper collects U.S. economic time series data including Consumer Price Index (CPI), unemployment rates, employment levels, average hourly earnings, and Producer Price Index. Select from 8 pre-built data series or enter any custom BLS series ID. Filter by year range and get monthly data points.

Whether you are an economist tracking inflation, a business analyst monitoring labor costs, or a researcher studying employment trends, this tool delivers official government statistics in structured format ready for analysis.

🎯 Target Audience	💡 Primary Use Cases
Economists, financial analysts, HR departments, journalists, researchers, business strategists	Inflation tracking, salary benchmarking, employment monitoring, economic forecasting, labor market analysis

📋 What the BLS Wage Data Scraper does

• 📊 Pre-built data series. Choose from CPI, Core CPI, unemployment rate, nonfarm employment, hourly earnings, PPI, labor force, and employment level.
• 🔧 Custom series support. Enter any valid BLS series ID to fetch specialized data.
• 📅 Year range filtering. Specify start and end years for your data (up to 10 years without a key, 20 with one).
• 📋 Monthly data points. Get individual values for each month in your selected range.
• 📝 Footnotes included. Capture BLS footnotes and annotations for each data point.
• 🔑 Optional API key. Use your free BLS registration key for extended date ranges and higher rate limits.

Each record includes the series ID, series name, year, period, value, and footnotes.

💡 Why it matters: navigating the BLS website to download economic data involves complex menus, limited export options, and manual file management. This Actor delivers structured BLS data in seconds with a simple configuration.

📊 Data fields

Each record includes: category, data, netChange12Month, netChange1Month, netChange3Month, netChange6Month, pctChange1Month, period, periodName, seasonallyAdjusted, seriesId, seriesName, unit, value, year. These field names come straight from the actor's dataset schema, so what you see here is what lands in your dataset.

⚠️ Good to Know: Free users are limited to 10 data points per run. Without a BLS registration key, the maximum date range is 10 years. Register for a free key at data.bls.gov for up to 20 years.

🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the BLS Wage Data Scraper page on Apify.
3. 🎯 Set input. Select a data series and set the year range.
4. 🚀 Run it. Click Start and get results in seconds.
5. 📥 Download. Grab results in JSON, CSV, or Excel from the Dataset tab.

⏱️ Total time: 2 minutes. No coding required.

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💡 Browse the complete ParseForge collection.

⚠️ Disclaimer: Independent tool, not affiliated with the U.S. Bureau of Labor Statistics or the U.S. Department of Labor. Data is accessed through the official BLS public API.

🆘 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.

For faster answers, join our Discord. It's the best place to get support and suggest new actors.