source_id int64 1 521 | source_agency stringclasses 5
values | endpoint_url stringlengths 45 123 | retrieved_at stringdate 2026-07-13 16:28:56 2026-07-13 17:45:04 | raw_payload_bytes int64 28.4k 308M | raw_payload_sha256 stringlengths 64 64 |
|---|---|---|---|---|---|
1 | FSIS | https://www.fsis.usda.gov/fsis/api/recall/v/1 | 2026-07-13 16:28:56 | 11,570,810 | 0f20099894997943ee13a006220b3dd952aec4955f0781a288e7644fd35b1941 |
319 | CPSC | https://www.saferproducts.gov/RestWebServices/Recall?format=json&RecallDateStart=2026-06-01&RecallDateEnd=2026-06-30 | 2026-07-13 16:36:31 | 135,628 | b13d4af80ea156d65213a5bf0844d88802828344f5d6dae9479cef7657f0498b |
320 | CPSC | https://www.saferproducts.gov/RestWebServices/Recall?format=json&RecallDateStart=2026-07-01&RecallDateEnd=2026-07-13 | 2026-07-13 16:36:33 | 61,089 | bc4fc42fe952c4c179a85c8bd3e7829f3b459facbdc0fd2b9e768524b90183d3 |
321 | NHTSA | https://static.nhtsa.gov/odi/ffdd/rcl/FLAT_RCL_POST_2010.zip | 2026-07-13 16:36:37 | 307,655,881 | 256357c6e9ef2622a46250768721223af32ce006b5f63adc55f6955f3616a0fa |
363 | FDA | https://api.fda.gov/food/enforcement.json?limit=1000&skip=0&search=recall_initiation_date%3A%5B20260101+TO+20260713%5D | 2026-07-13 16:47:06 | 738,056 | 776c305c08159102470d9e2e4f710d50b93f0611b6ec1d8cdef07510f7bc02da |
393 | FDA | https://api.fda.gov/drug/enforcement.json?limit=1000&skip=0&search=recall_initiation_date%3A%5B20260101+TO+20260713%5D | 2026-07-13 16:51:10 | 540,910 | 48c980758f8b2397b4ab572a683613de7bff12cbc099c3ced938c4de70490bc5 |
448 | FDA | https://api.fda.gov/device/enforcement.json?limit=1000&skip=1000&search=recall_initiation_date%3A%5B20260101+TO+20260713%5D | 2026-07-13 17:01:20 | 3,014,173 | b203cf38d784ed8ce3d1850efb8d42da5e5c0ec5cf3d7fb545d371709984b571 |
450 | USCG | https://www.uscgboating.org/content/recalls.php?pageNum_allRecalls=0 | 2026-07-13 17:42:55 | 32,061 | 73c5d157efc81d7efece5168b5b44df97cca3ab995675d9db248bcdef16dfda7 |
519 | USCG | https://www.uscgboating.org/content/recalls.php?pageNum_allRecalls=69 | 2026-07-13 17:44:50 | 32,066 | 2dca870d1ee7d6f5b27fdbda9581007ef5bd6dd3ee70c1bf8156302a53af1b58 |
520 | USCG | https://www.uscgboating.org/content/recalls.php?pageNum_allRecalls=70 | 2026-07-13 17:44:51 | 28,385 | 57dfa470bf0f3be248bc188f8eb42aaf8ed22b4cc57cbfe873989988bb93af4d |
521 | FDA | https://www.fda.gov/safety/recalls-market-withdrawals-safety-alerts/datatables-data?_format=xlsx | 2026-07-13 17:45:04 | 300,239 | 278bffe0729a3ddb212ca135c0e91cce632ea8833c4da6e26b7682d6b5bdb8bf |
RecallDB — U.S. Product Recall Database (Sample)
127,783 official recalls · 292,790 recalled products · CPSC · FDA · FSIS · NHTSA · USCG · 100% source-linked
RecallDB is a normalized, provenance-tracked dataset of official U.S. federal product recalls. It joins five official source families into one relational model: CPSC consumer products, NHTSA vehicles, FDA/openFDA plus FDA Safety Alerts enrichment, USDA FSIS food safety recalls, and USCG recreational boating recalls.
Full dataset & documentation: https://recalldb-public.pages.dev/
Public sample vs paid full dataset
This Hugging Face dataset is the free public sample. The full CSV + SQLite export is not published here.
| Table | Full dataset | Public sample |
|---|---|---|
| Recalls | 127,783 | 200 |
| Recalled products | 292,790 | 428 |
| Source pulls | 521 | 11 |
| Firms | 20,886 | 147 |
| Hazard taxonomy | 11 | 11 |
Files / configs
Each table is exposed as a separate config for the Datasets viewer:
recalls— balanced sample of recalls from all five agenciesrecalled_products— linked products, vehicles, lots and categoriesdata_sources— endpoint URLs, retrieval timestamps and raw payload hashesfirms— canonical firm names observed in the samplehazards— hazard taxonomy with recall counts
Quick start
from datasets import load_dataset
recalls = load_dataset("Ichlibitiche/recalldb-product-recalls-sample", "recalls", split="train")
print(recalls.to_pandas().groupby("source_agency").size())
Or with pandas directly:
import pandas as pd
recalls = pd.read_csv("hf://datasets/Ichlibitiche/recalldb-product-recalls-sample/recalls.csv")
Provenance
Every recall carries source_agency, external_id, source_url, and source_id. source_id joins into data_sources, which exposes endpoint_url, retrieved_at, raw_payload_bytes, and raw_payload_sha256. The paid SQLite release also stores the archived raw payload for replay and audit.
Source coverage
| Agency | Full rows | Domain |
|---|---|---|
| CPSC | 8,179 | Consumer product recalls |
| FDA | 86,476 | Food, drugs, devices, cosmetics, biologics, animal/veterinary alerts |
| FSIS | 1,222 | Meat, poultry and egg product recalls |
| NHTSA | 30,143 | Vehicle and equipment recalls |
| USCG | 1,763 | Recreational boating recalls |
EPA is intentionally excluded from v1 (no stable official recall-specific structured feed was identified).
Full dataset access
The full CSV + SQLite export with the complete provenance ledger is available as a one-time $49 snapshot or an enterprise custom request via https://recalldb-public.pages.dev/#pricing
License
Public sample: CC0-1.0 (source records are U.S. federal government publications). Attribution is appreciated for auditability — see https://recalldb-public.pages.dev/SOURCES.md
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