📊 FRED Scraper

🚀 Collect economic data from the Federal Reserve (FRED) in minutes. Search by keyword or category. Filter by frequency, units, and seasonal adjustment. Export time series with observations. No coding, no FRED API key required.

The FRED Scraper collects economic data series from the Federal Reserve Economic Data (FRED) database, returning 20+ fields per series: series ID, title, frequency, units, seasonal adjustment, observation start/end dates, popularity, and optionally full time series observations (date + value pairs). Runs support up to 1,000,000 series on a paid plan.

FRED hosts over 800,000 economic time series from 100+ sources. The Actor supports keyword search with category, frequency, units, seasonal adjustment, and sort filters.

🎯 Target Audience	💡 Primary Use Cases
Economists, data scientists, financial analysts, policy researchers, journalists, BI teams	Economic research, financial modeling, trend analysis, policy research, data journalism

📋 What the FRED Scraper does

Keyword search with 6 filters:

• 🔍 Keyword search. Free-text search across series titles and descriptions.
• 📂 Category filter. Browse by FRED category ID.
• 📅 Frequency filter. Daily, weekly, monthly, quarterly, annual.
• 📊 Units filter. Levels, change, percent change, etc.
• 🌡️ Seasonal adjustment. Seasonally adjusted or not.
• 📈 Observations toggle. Optionally fetch full time series data points.

Each series record includes ID, title, frequency, units, seasonal adjustment, observation dates, popularity, and (when enabled) array of date-value observation pairs.

💡 Why it matters: downloading FRED data manually means clicking through the website series by series. This Actor exports structured economic data at scale, ready for your financial models, research databases, or BI dashboards.

📊 Data fields

Each record includes: frequency, frequencyShort, groupPopularity, lastUpdated, notes, observationEnd, observationStart, popularity, realtimeEnd, realtimeStart, scrapedTimestamp, seasonalAdjustment, seasonalAdjustmentShort, seriesId, seriesUrl, title, units, unitsShort. All 18 field names come from a real production run, so what you see here is what lands in your dataset.

⚠️ Good to Know: FRED is maintained by the Federal Reserve Bank of St. Louis and hosts data from 100+ government and international sources. Enabling includeObservations adds full time series data but increases processing time.

🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the FRED Scraper page on the Apify Store.
3. 🎯 Set input. Enter a keyword, pick frequency and units, toggle observations.
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 financial and government data scrapers.

⚠️ Disclaimer: this Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by the Federal Reserve Bank of St. Louis or the Federal Reserve System. All trademarks mentioned are the property of their respective owners. Only publicly available FRED data is collected.

🆘 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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