NHTSA Recall & Defect Investigation Tracker API

Track NHTSA vehicle recalls and defect investigations — campaigns, components and defect summaries.

Public product-safety records — for monitoring, not a safety determination.

📊 Sample Output

recall_id	campaign_number	manufacturer	model	component	recall_date
26V507000	26V507000	Tesla, Inc.	MODEL 3	EXTERIOR LIGHTING:HEADLIGHTS	2026-08-05
26V445000	26V445000	Tesla, Inc.	MODEL 3	STRUCTURE:BODY:BUMPERS	2026-07-07
26V283000	26V283000	Tesla, Inc.	MODEL 3	BACK OVER PREVENTION:SOFTWARE	2026-05-05
25V690000	25V690000	Tesla, Inc.	MODEL 3	ELECTRICAL SYSTEM:PROPULSION SYSTEM:FUSES, RELAYS, CONTACTS, AND SHUN…	2025-10-10
25V410000	25V410000	Tesla, Inc.	MODEL 3	SEATS:CRITICAL FASTENERS	2025-06-18
25V092000	25V092000	Tesla, Inc.	MODEL 3	STEERING:ELECTRIC POWER ASSIST SYSTEM	2025-02-14

Real rows from run HJBmmfQteoZJ4cdFz on build 0.0.2 (2026-09-25), unedited apart from masked emails/phones and shortened long text; fields the source does not publish are empty.

⚙️ Sample inputs

This is the Store example input — the same input Apify's automated check runs — so it is proven to return rows on the current build. Paste it into the input form, or send it through the API, CLI or a schedule:

{
  "make": "Tesla",
  "model": "Model 3",
  "year_from": 2020,
  "year_to": 2026,
  "severity": "all",
  "max_records": 50
}

🔧 Input reference

Field	Type	Default	What it does
make	string	"Tesla"	Vehicle manufacturer as indexed by NHTSA (case-insensitive). Examples: Tesla, Ford, Toyota, Honda, Chevrolet, Jeep, BMW. Leave blank to default to Tesla. The make st…
model	string	"Model 3"	Vehicle model as indexed by NHTSA (case-insensitive). Examples: Model 3, F-150, Camry, Civic, Silverado 1500, Wrangler. Tesla models use a space (Model 3, Model Y,…
year_from	integer	2020	Start of the model-year window (inclusive). NHTSA recalls are indexed by model year, NOT recall posting year — a 2018 vehicle can be recalled in 2026 and shows up under model-year…
year_to	integer	2026	End of the model-year window (inclusive). Default 2026 captures current model year. Many recalls land 12-36 months after a model's release as defect patterns surface — for early-w…
severity	string (all, fire_risk, crash_risk, non_compliance)	"all"	Filter recalls by their inferred severity class. fire_risk=thermal/electrical fire risk (battery fires, electrical shorts, overheating). crash_risk=loss of braking/steering/ai…
max_records	integer	50	Hard cap on records pushed to the dataset (and metered for the per-record billing event). Records are returned newest-first by ReportReceivedDate, so a low cap returns the most re…

🧾 JSON sample record

One real record from run HJBmmfQteoZJ4cdFz (emails/phones masked, long text shortened):

{
  "recall_id": "26V507000",
  "campaign_number": "26V507000",
  "manufacturer": "Tesla, Inc.",
  "make": "TESLA",
  "model": "MODEL 3",
  "model_year": 2020,
  "component": "EXTERIOR LIGHTING:HEADLIGHTS",
  "defect_summary": "Tesla, Inc. (Tesla) is recalling certain 2017-2023 Model 3 and 2020-2023 Model Y vehicles. The headlight low beams may be too bright and exceed the maximum light output. As such, these vehicles fail to comply with the requirements of Federal Motor Vehicle Safety Standard (FMVSS) number 108, \"Lamps, Reflective Devices, and Associated Equipment.\"",
  "consequence_summary": "Headlight low beams that are too bright can reduce visibility for oncoming drivers, increasing the risk of a crash.",
  "corrective_action": "The remedy is currently under development. Owner notification letters are expected to be mailed October 3, 2026. Owners may contact Tesla customer service at 1-877-798-3752. Tesla's number for this recall is SB-24-17-003.",
  "affected_vehicle_count": 20349,
  "vin_range_start": null,
  "vin_range_end": null,
  "recall_date": "2026-08-05",
  "severity_class": "crash_risk",
  "investigation_stage": "recall_issued",
  "park_it_warning": false,
  "park_outside_warning": false,
  "ota_remedy": false,
  "ncap_overall_rating": "5",
  "ncap_side_rating": "5",
  "investigation_count": null,
  "complaint_total_vehicle": 451,
  "complaint_crash_count": 54,
  "complaint_fire_count": 2,
  "notes": "",
  "source_url": "https://www.nhtsa.gov/recalls?nhtsaId=26V507000",
  "source": "api.nhtsa.gov"
}

💰 Pricing

Event	Price (USD)	When it is charged
Actor Start (apify-actor-start)	$0.005	Charged when the Actor starts running. Number of events charged depends on Actor memory (one event per GB, minimum one event).
Recall record (recall-record)	$0.1	Per NHTSA recall or defect investigation record

Pay-per-event: you pay only for what the run delivers. A run that delivers nothing bills no result events (only the actor-start event, when the actor defines one). Example: a run that delivers 100 results costs 100 × $0.1 = $10.00 plus the start fee.

🔗 Related Actors

More from the NexGenData US government, courts & regulators family:

• Liquor License Leads — New License Holder Prospects API
• New York Corporations Search — NY Entity Data API
• NHTSA US Vehicle Recalls Lookup API
• NHTSA Vehicle Safety — Recalls & Complaints API
• Nonprofit Records — IRS 990 Financials API
• Oregon Business Registry Search — OR Entity Data API

46 more in this family on the NexGenData Store page.

⏰ Run this as a monitoring subscription (recommended)

Regulatory data is monitoring data. Schedule a weekly sweep (0 8 * * 1) and catch new recalls as they post — an always-on official-records feed.

📊 What you get

Clean JSON, one record per recall (full output has 28 fields):

• recall_id — Recall id
• campaign_number — Campaign number
• manufacturer — Manufacturer
• make — Make
• model — Model
• model_year — Model year
• component — Component
• defect_summary — Defect summary
• consequence_summary — Consequence summary
• corrective_action — Corrective action

Pricing: $0.100 per recall (Pay-Per-Event) — about 10 recalls per $1.

🤖 Use with AI agents

Point Claude, the OpenAI Agents SDK, an n8n flow or any MCP-aware client at it and pull official records on demand.

Agentic payments (x402): Supports agentic payment via x402 — agents can call this actor with USDC, no API key required.

🔗 Related regulatory actors

Product-safety monitoring — recalls across agencies:

NHTSA Recalls · NHTSA Safety · CPSC Recalls

Agent front door — Healthcare & FDA MCP: Healthcare & FDA MCP

This actor is currently private — treated and ready for review.

Public official records and enforcement data, assembled for research and monitoring.