FRED files each economic series under a short ID such as UNRATE and prints its Next Release Date. Our FRED scraper reads the series you choose after each release, with full metadata.
Plans from €169 a month · Free project assessment · Reply within 1 business day
CSV · Excel · JSON · XML · FTP · SFTP · Amazon S3 · Google Cloud
API, JSON feed or CSV, XLSX and JSON files
ScheduleOne-time, monthly, weekly, daily or 3 times a day
FRED pages, filters, fields and a schedule
Built, monitored and repaired by our team
API, JSON feed or CSV, XLSX and JSON files
You send a list of series IDs, a release such as Employment Situation or H.15 Selected Interest Rates, a category, or a question in plain words that we turn into a list of series. We build the crawler, time it to the Next Release Date each series page shows, run it and fix it when FRED changes a page; proxy rotation, pacing and page rendering come with the service.
Each run reads the latest observations and the metadata around them and writes one long table: a row per series and date, with units and frequency beside every value. FRED is rarely the only source a project needs, so the same delivery can merge its series with market quotes, retail prices or company data we collect elsewhere, joined on one date key.
A FRED series page is compact and the same for every series, which makes it good material for a schedule. The address is /series/ plus the series ID - UNRATE for the unemployment rate, DGS10 for the 10-year Treasury yield, ACTLISCOUUS for the Realtor.com active listing count - and that ID keys every row we deliver.
Values stay as FRED prints them; we add parsed dates and numeric columns and keep the units string, so a percent is never summed with a dollar figure and a weekly series is never mistaken for a monthly one.
Single series are easy; a useful FRED dataset is a selection, and we build it from FRED's own organisation.
Our own runs add a second history: every pass is stamped, so a revised value never silently replaces the one your model already used.
FRED, Federal Reserve Economic Data, is the time series database of the Research Division at the Federal Reserve Bank of St. Louis, which presents it as a source of economic data since 1991. It produces few of its numbers itself: it gathers them from national, international, public and private sources - the Bureau of Labor Statistics, the Bureau of Economic Analysis, the Federal Reserve Board, Realtor.com and many more - and republishes them in one format, one page per series.
FRED describes its holdings as hundreds of thousands of series. The largest branch of the category tree is U.S. Regional Data, with state series and groupings by Census and BEA regions and Federal Reserve districts; the others cover money and banking, employment and labor markets, national accounts, production and business activity, prices, international data and academic data sets. Interest rates, CPI and inflation, GDP, exports and the unemployment rate sit beside narrow series such as egg prices, gas prices and home prices.
FRED belongs to a family of St. Louis Fed services: ALFRED keeps vintages, FRASER covers U.S. financial, economic and banking history, and the release calendar lists what is published each day.
Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan detailsA FRED series copied into a spreadsheet by hand goes stale with the next release; scheduled collection keeps it current and records which print each figure came from.
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We are a managed data collection service: we build the crawlers, run them when the data is due and repair them, and you receive the data. For FRED that means the series you name, read after each release and merged with other public sources - market quotes, retail prices, company filings - in one documented table. Delivery is CSV, Excel, JSON, a load into your database or our API. Plans start from EUR 169 a month, or EUR 199 for a one-time extract.
Still unsure? Write to info@scrapeit.io
From the agencies FRED names on each series page, where Source and Release are separate fields. UNRATE comes from the U.S. Bureau of Labor Statistics in the Employment Situation release, DGS10 from the Board of Governors in H.15 Selected Interest Rates. We keep both fields on every row, so the original publisher is never lost.
Yes. The ScrapeIt FRED API returns series ID, title, units, frequency, observation date and value for the series you choose as JSON from an endpoint we host, refreshed on the schedule you set. The same data also comes as CSV or Excel files, a JSON feed or a load into your database.
A series page shows an Updated timestamp and a Next Release Date, and the release calendar gives release times in US Central Time. We schedule the run shortly after the release and check the Updated stamp, so a dataset is refreshed once per release instead of being polled blindly. Daily series such as treasury yields can run every business day.
Yes. Series pages, release pages, categories and the release calendar on fred.stlouisfed.org are open to every visitor. We collect only publicly available data - everything a visitor can see on FRED - and we collect it legally.
Yes. ALFRED keeps earlier versions of a series by release date, and our own runs are timestamped, so each value can be delivered with the date it was published and the date it was replaced. That matters most for GDP and payrolls, which are revised after their first print.
You share your needs, expectations, and desired timeframe. We'll suggest the best solution based on your request and budget.
Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.
Once you approve the sample, we launch the project and start full data collection. We gather, filter, and structure the data for easy use, delivering it on time in your preferred format.
Our team manages ongoing processes, monitors website changes, and supports all data extraction cycles. We can also help integrate data into your systems or create dashboards to simplify analysis.
Tell us which sites, which fields and how often. A couple of lines is enough to start.
FRED data from €169/month. Free project assessment, reply within 1 business day.