BEA news releases (weekly)
Weekly digest of U.S. Bureau of Economic Analysis news releases from the keyless official RSS feed — the official announcements of U.S. economic statistics (GDP, international transactions, personal income, industry accounts). Each row is one release in the feed's current window (observed ~2.5 months): ISO release date, country_code=USA join key, title, the lead paragraph as clean prose (HTML stripped), and the canonical news URL. Rows sort newest-first; per-row content hashes support change detection; re-ingesting an unchanged feed creates no new snapshot. Method: RSS 2.0 parsed with the standard library, CDATA descriptions stripped to plain text, items deduplicated on guid. Caveats: the feed is a rolling window, not a cumulative archive — each snapshot records the window as published; descriptions are lead paragraphs, not full release text. U.S. federal public domain — commercial_use = yes with attribution to the U.S. Bureau of Economic Analysis. Sample use: track the release calendar, or join release_date against U.S. macro series to see what was announced when.
- Rows
- 49
- Columns
- 6
- Source cadence
- Weekly
- Last refreshed
- Oct 3, 2026
- Theme
- news
| Column | Type | Description |
|---|---|---|
| release_date | string | Date the news release was published, normalized from the feed's pubDate (YYYY-MM-DD). The dataset's date join key. (unit: date) |
| country_code | string | ISO 3166-1 alpha-3 country code; always USA — the standard geography join key. |
| title | string | News release title, e.g. 'U.S. International Transactions and Investment Position, 2nd Quarter 2026'. |
| summary | string | The release's lead paragraph as clean prose (CDATA HTML stripped, entities unescaped); not the full release text. |
| url | string | Canonical news URL (the feed item guid); per-row provenance. (unit: url) |
| row_hash | string | SHA-256 of the row's canonical JSON (all content fields); the row identity for change detection. (unit: hash) |
- Current
20261003T224458Z-fd84e463d75f · sha256 fd84e463d75f…
49 rows · first snapshot
Point any LLM at the metadata endpoint — the documentation above is machine-readable too (JSON-LD + Croissant).
curl "https://datazimuts.com/v1/datasets/bea_news/bea_news_releases" | jq '{title, rows, columns_count, license}'import requests
ds = requests.get("https://datazimuts.com/v1/datasets/bea_news/bea_news_releases").json()
print(ds["title"], ds["rows"], "rows")
# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
print(row)API endpoint: https://datazimuts.com/v1/datasets/bea_news/bea_news_releases
Tip: fetch /llms.txt for the full machine-readable catalog.
Where this data comes from and what was made from it. Other people's work shows as counts; only shared projects are named.
Cite this snapshot
Pinned to snapshot 20261003T224458Z-fd84e463d75f and its content hash, so readers get exactly the data you used.
U.S. Bureau of Economic Analysis — news releases. (2026). BEA news releases (weekly) [Data set, snapshot 20261003T224458Z-fd84e463d75f, sha256 fd84e463d75f]. Datazimuts. Retrieved 2026-10-05, from https://datazimuts.com/en/datasets/bea_news/bea_news_releases?snapshot=20261003T224458Z-fd84e463d75f
@misc{dz_bea_news_bea_news_releases_fd84e463,
title = {{BEA news releases (weekly)}},
author = {{U.S. Bureau of Economic Analysis — news releases}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/en/datasets/bea_news/bea_news_releases?snapshot=20261003T224458Z-fd84e463d75f}},
note = {Snapshot 20261003T224458Z-fd84e463d75f, sha256 fd84e463d75fec5ac9a4b5f61963406823a90c3a3f6a048cfc86c310c59a5d23; accessed 2026-10-05}
}Embed a table or a chart
Paste this into any page. The embed is pinned to the same snapshot, follows the reader's light or dark setting, and always shows the source, license and a link back.
<iframe src="https://datazimuts.com/embed/table?dataset=bea_news%2Fbea_news_releases&lang=en&theme=auto&snapshot=20261003T224458Z-fd84e463d75f" title="BEA news releases (weekly)" width="100%" height="380" style="border:0" loading="lazy"></iframe>
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