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OFR Short-Term Funding Monitor Scraper

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OFR Short-Term Funding Monitor Scraper

OFR Short-Term Funding Monitor Scraper

Track repo rates, money market fund balances, and Treasury yields from the US Office of Financial Research Short-Term Funding Monitor. Every record carries a mnemonic, series name, description, observation date, and numeric value. Filter by date for funding research and rate analysis.

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from $6.00 / 1,000 results

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ParseForge

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πŸ“ˆ OFR Short-Term Funding Monitor Scraper

πŸš€ Turn the OFR Short-Term Funding Monitor into clean dated rows. Every observation becomes one record with mnemonic, series name, date, and value, ready for your model or dashboard.

The U.S. Office of Financial Research publishes the Short-Term Funding Monitor, a public data service that tracks money-market activity across repo, money market funds, and benchmark interest rates. This Actor reads that service and hands you back one tidy row for every observation, so a multi year rate series becomes a stack of dated rows you can chart, join, or load straight into a notebook.

Coverage spans DVP, GCF, and tri-party repo rates, money market fund investments, the effective federal funds rate, the overnight bank funding rate, and Treasury constant maturity yields. Fetch a single known series by its mnemonic, add as many extra mnemonics as you like, and narrow the window with start and end dates.

🎯 Target AudienceπŸ’‘ Primary Use Cases
Fixed income analystsTrack repo and funding rates over time
Economists and researchersBuild money-market and rate panels
Quants and data scientistsFeed time series into models and backtests
Risk and treasury teamsMonitor short-term funding conditions
Journalists and educatorsPull official figures with full provenance

πŸ“‹ What the OFR Short-Term Funding Monitor Scraper does

This Actor talks to the public OFR Short-Term Funding Monitor API and returns money-market observations as flat rows. For each series it reads the full metadata and the dated value array, then emits the most recent observations first, each carrying the mnemonic, series name, description, subtype, frequency, and vintage. You can target one mnemonic from a curated list, add any number of custom mnemonics, and filter by a date range.

πŸ“Š Data fields

Each record includes: date, description, frequency, mnemonic, results, scrapedAt, seriesName, subtype, value, vintage. These field names come straight from the actor's dataset schema, so what you see here is what lands in your dataset.

πŸš€ How to use

  1. Sign up for a free Apify account using this link.
  2. Open the OFR Short-Term Funding Monitor Scraper in the Apify Console.
  3. Pick a mnemonic from the dropdown and add any custom mnemonics you want.
  4. Set maxItems and an optional startDate and endDate, then click Start.
  5. Watch the run finish and open the results to view or pull your observations.

πŸ’‘ Pro Tip: browse the complete ParseForge collection.

⚠️ Disclaimer: independent tool, not affiliated with the U.S. Office of Financial Research or the U.S. Treasury. Only publicly available data is collected.

πŸ†˜ 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.