Federal Reserve Board RSS feeds
Federal Reserve Board RSS feeds
Official Federal Reserve Board RSS feeds for press releases, monetary policy releases, speeches, testimony, statistical releases and other Board updates. The XML feeds expose titles, links, categories and publication timestamps without a key.
Required Attribution:
Requested: "Please cite to the Board as the source of the information."
Coverage
Board publications split across topic feeds, including all press releases, monetary policy, banking and consumer policy, enforcement, speeches and testimony. Each feed is a current rolling list rather than a complete archive; the checked all-press feed contained 20 items.
Verdict
A clean central-bank event stream for detecting when Board releases appear and routing agents to the source document. Use the RSS publication timestamp in UTC, but treat the feed as a rolling current list and archive it yourself for history. Items can be updated; the Board asks users to cite it, and marked third-party material has separate rights.
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Use in your agent
Load Federal Reserve Board press-release RSS into pandas and Parquet. Checked against the provider's documentation on Oct 30, 2026.
Access
- No account or key. The RSS XML is a public file.
Request
curl 'https://www.federalreserve.gov/feeds/press_all.xml'Format
RSS 2.0 XML. Each channel item includes title, link, category, description and an RFC 822 pubDate.
Load into pandas and Parquet
Needs Python 3 with requests, pandas and pyarrow.
"""Federal Reserve Board press-release RSS -> pandas -> Parquet. No key."""
import xml.etree.ElementTree as ET
import requests
import pandas as pd
URL = "https://www.federalreserve.gov/feeds/press_all.xml"
r = requests.get(URL, timeout=30)
r.raise_for_status()
root = ET.fromstring(r.content)
rows = []
for item in root.findall("./channel/item"):
rows.append({name: item.findtext(name) for name in ("title", "link", "category", "pubDate")})
df = pd.DataFrame(rows)
df["pubDate"] = pd.to_datetime(df["pubDate"], utc=True)
df.to_parquet("federal_reserve_press_all.parquet", index=False)
print(len(df), "items", df["pubDate"].min().isoformat(), "to", df["pubDate"].max().isoformat())Run by us on 2026-10-30 (python 3.13.5 | pandas 3.1.0 | pyarrow 26.0.0 | requests 2.34.2). Result: 20 items 2026-09-16T18:00:00+00:00 to 2026-10-29T20:30:00+00:00
Limits
- Rate limit: Not stated.
- Feed retention and item count are not stated; observed 2026-10-30: press_all.xml contained 20 items.
Quirks
- pubDate includes a numeric offset; parse it with utc=True.
- The feed is a rolling current list, so persist items if history is needed.
- Use link as the stable source pointer and expect categories to vary by release.
Terms and attribution
- Board information is public-domain material unless indicated otherwise; cite the Board as source.
- Marked non-Board photos, graphics or other material require permission from that source.
Sources
- https://www.federalreserve.gov/feeds/feeds.htm: “RSS, or "Really Simple Syndication" is an XML-based format for distributing web content.”
- https://www.federalreserve.gov/feeds/feeds.htm: “The reader automatically incorporates changes for RSS subscribers when content in the feed has been updated or changed.”
- https://www.federalreserve.gov/disclaimer.htm: “Unless otherwise indicated, information on Board's website is in the public domain and may be copied and distributed without permission.”
- https://www.federalreserve.gov/disclaimer.htm: “Please cite to the Board as the source of the information.”
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