⚖️ FDA Recalls, Warning Letters & Enforcement Scraper
Pricing
from $3.00 / 1,000 compliance records
⚖️ FDA Recalls, Warning Letters & Enforcement Scraper
Enterprise compliance radar. Scrapes real-time FDA Class I, II, III Recalls (Food, Drugs, Devices, Cosmetics) and official Warning Letters via openFDA API & FDA.gov.
Pricing
from $3.00 / 1,000 compliance records
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Automation Studio
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⚖️ FDA Recalls, Warning Letters & Enforcement Radar
An enterprise-grade regulatory compliance radar monitoring the United States Food and Drug Administration (FDA) in real time. Aggregates official Enforcement Reports & Recalls (Class I, II, III across Food, Drugs, Medical Devices, and Cosmetics) directly from the openFDA REST API, combined with live Official FDA Warning Letters & cGMP Citations from FDA.gov.
🎯 Why This Actor Exists
Every week, the FDA issues recall notices and warning letters citing severe safety hazards:
- Class I Recalls: Situations with a reasonable probability that product use will cause serious adverse health consequences or death (e.g., Listeria monocytogenes, undeclared life-threatening allergens, microbial contamination in sterile injectables).
- Current Good Manufacturing Practice (cGMP) Citations: Facilities failing sanitary standards, sterility testing, or stability validation.
- Unapproved & Misbranded Drugs: Peptides, counterfeit supplements, unauthorized active pharmaceutical ingredients (APIs).
Corporate legal teams, e-commerce brand aggregators, supplement manufacturers, cosmetics brands, pharmaceutical distributors, and hedge funds pay thousands of dollars per month for compliance monitoring. This Actor automates that surveillance instantly at a fraction of the cost.
⚡ Key Capabilities
- Dual-Feed Regulatory Pipeline: Simultaneously queries openFDA REST API (87,000+ historical & active recall reports) and scrapes the live FDA.gov Warning Letters & Inspection Index.
- 100% Real US Government Records: Strictly zero synthetic, mock, or generated records. Every row is verified against US government databases with direct official URLs.
- Unified Severity Normalization: Translates disparate government classifications into actionable risk tiers (
CRITICAL,MODERATE,MINOR). - Targeted Brand & Firm Intelligence: Search by company name (e.g., Pfizer, Bausch & Lomb, Whole Foods) or keyword (e.g., Salmonella, Lead, Sildenafil, Sterility).
- Automated Webhook Alerts: Connects directly to Discord or Slack to send instant alert cards when critical Class I recalls are detected.
- Zero Browser Overhead: Powered by pure HTTP requests and optimized JSON parsing. Runs in 1–3 seconds using only 256MB of container RAM.
📊 Who Uses This Actor?
| Audience | Primary Use Case |
|---|---|
| E-Commerce & Amazon Sellers | Audit private label suppliers and competitors to ensure zero banned ingredients or warning letters. |
| Dietary Supplement & Cosmetics Brands | Monitor ingredient safety alerts (e.g., lead, unapproved peptides, adulterants) before formulating batches. |
| Regulatory & Quality Assurance (QA/QC) | Maintain audit-ready compliance logs for internal risk management and FDA inspection readiness. |
| Law Firms & Litigation Teams | Discover product liability cases and class-action candidates within hours of official FDA publication. |
| Hedge Funds & Equity Analysts | Track material regulatory headwinds, facility shutdowns, and recall liabilities for publicly traded healthcare stocks. |
⚙️ Input Configuration
| Parameter | Type | Default | Description |
|---|---|---|---|
feedTypes | Array | ["RECALLS", "WARNING_LETTERS"] | Feeds to monitor: RECALLS (openFDA) and/or WARNING_LETTERS (FDA.gov). |
categories | Array | ["food", "drug", "device"] | Target FDA centers: Food & Cosmetics (food), Human Drugs (drug), Medical Devices (device). |
searchKeyword | String | "" | Filter by contaminant, ingredient, or violation keyword (e.g., "Salmonella", "cGMP", "Listeria"). |
firmName | String | "" | Filter by specific manufacturer, recalling firm, or distributor name. |
classifications | Array | ["Class I", "Class II"] | Hazard classes: Class I (fatal/severe), Class II (temporary harm), Class III (minor/technical). |
recallStatus | String | "ALL" | Active status filter: "ALL", "Ongoing" (currently active), or "Terminated" (archived). |
daysBack | Integer | 90 | Scan window in calendar days (1 to 1825 days). |
maxResults | Integer | 100 | Maximum number of compliance records to extract per run (up to 2000). |
webhookUrl | String | "" | Optional Discord or Slack webhook URL for real-time critical alert delivery. |
openFdaApiKey | String | "" | Optional openFDA API key for high-throughput enterprise tiers (up to 120k requests/day). |
📋 Sample Output Record
Each item in the default dataset is normalized into a unified, clean schema:
{"recordId": "F-0452-2024","recordType": "RECALL","productCategory": "FOOD_COSMETICS","severityLevel": "CRITICAL","classification": "Class I","companyName": "WFM Purchasing, LP","productName": "Whole Foods Medium Pico de Gallo Guacamole Dip","violationReason": "Potential contamination with Listeria monocytogenes","distributionPattern": "Distributed to retail stores in CA, NV, OR, and WA.","status": "Ongoing","incidentDate": "2024-08-07","reportDate": "2024-08-14","fdaOfficialUrl": "https://www.accessdata.fda.gov/scripts/ires/index.cfm?Event=94821","lotNumbers": "Use By Dates: 08/14/2024 through 08/21/2024","city": "Austin","state": "TX","country": "US","fullDescription": "Whole Foods Market Medium Pico de Gallo Guacamole, net wt 8 oz plastic tub.","scrapedAt": "2026-09-20T01:10:00.000Z"}
🚨 FDA Hazard Classifications Explained
- Class I (Critical): Dangerous or defective products that could cause serious adverse health consequences or death. Examples: food containing Listeria, unapproved prescription active ingredients in over-the-counter supplements, defective infusion pumps.
- Class II (Moderate): Products that might cause temporary or medically reversible health problems, or where the probability of serious adverse health consequences is remote. Examples: mislabeled dosage strengths, subpotent pharmaceuticals.
- Class III (Minor): Products that are unlikely to cause any adverse health reaction, but violate FDA labeling or manufacturing regulations. Examples: minor packaging defects, unapproved container closures.
- Warning Letters: Formal notification from the FDA notifying an establishment that significant regulatory violations (such as cGMP breaches or unapproved new drug claims) were observed during an inspection or review.
🔔 Automated Alert Webhooks (Discord & Slack)
Set the webhookUrl input parameter to your team's Discord or Slack webhook URL.
When the Actor runs, it generates formatted alert cards summarizing:
- Total records found
- Count of Critical Class I actions
- Direct links to official FDA letters and enforcement dockets
💰 Monetization & Economics
- Pricing Model: Pay-Per-Event (PPE)
- Actor Startup:
$0.005per run - Dataset Item:
$0.003per verified compliance record
- Actor Startup:
- Platform Usage: Paid by user (
isPPEPlatformUsagePaidByUser: true). - Compute Efficiency: Runs in ~2–4 seconds using 256MB memory. Platform compute cost is ~$0.0001 per run.