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OpenFEMA NFIP Flood Insurance Claims API

Pricing

from $50.00 / 1,000 mentions

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OpenFEMA NFIP Flood Insurance Claims API

OpenFEMA NFIP Flood Insurance Claims API

NFIP flood-insurance claims (redacted) by state and year: flood zone, amounts paid on building/contents, coverage, loss date, location. For P&C insurers, reinsurers, flood-risk and climate analysts.

Pricing

from $50.00 / 1,000 mentions

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Developer

NexGenData

NexGenData

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OpenFEMA NFIP flood-insurance claim public records — losses, zones and amounts paid.

Factual public records — assembled for research and monitoring.

📊 Sample Output

6 real rows delivered by OpenFEMA NFIP Flood Insurance Claims API — run 7FwynCwlwJh6xBGN3 on build 0.0.16

statecountyCodedateOfLossyearOfLossratedFloodZoneoriginalConstructionDate
TX481352026-05-27T00:00:00.000Z2026AE1950-01-01T00:00:00.000Z
TX480612026-05-27T00:00:00.000Z2026X1962-01-01T00:00:00.000Z
TX483552026-05-27T00:00:00.000Z2026C1999-01-01T00:00:00.000Z
TX484092026-05-27T00:00:00.000Z2026X1977-01-05T00:00:00.000Z
TX483552026-05-27T00:00:00.000Z2026C1983-01-01T00:00:00.000Z
TX483972026-05-27T00:00:00.000Z2026X1985-04-01T00:00:00.000Z

Real rows from run 7FwynCwlwJh6xBGN3 on build 0.0.16 (2026-09-24), 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:

{
"state": "TX"
}

🔧 Input reference

FieldTypeDefaultWhat it does
statestring"TX"Two-letter state code (e.g. TX, FL, LA).
yearOfLossFromintegerOnly claims with year of loss >= this.
maxResultsinteger1000Maximum claims to return.

🧾 JSON sample record

One real record from run 7FwynCwlwJh6xBGN3 (emails/phones masked, long text shortened):

{
"state": "TX",
"countyCode": "48135",
"dateOfLoss": "2026-05-27T00:00:00.000Z",
"yearOfLoss": 2026,
"ratedFloodZone": "AE",
"occupancyType": 11,
"amountPaidOnBuildingClaim": null,
"amountPaidOnContentsClaim": null,
"totalBuildingInsuranceCoverage": 136000,
"totalContentsInsuranceCoverage": 20000,
"floodEvent": null,
"latitude": 31.9,
"longitude": -102.4,
"originalConstructionDate": "1950-01-01T00:00:00.000Z"
}

💰 Pricing

EventPrice (USD)When it is charged
Actor Start (apify-actor-start)$0.01Charged when the Actor starts running. Number of events charged depends on Actor memory (one event per GB, minimum one event).
Mention (apify-default-dataset-item)$0.05Single brand mention with sentiment analysis.

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 × $0.05 = $5.00 plus the start fee.

More from the NexGenData Data APIs family:

27 more in this family on the NexGenData Store page.

📊 What you get

Clean JSON, one record per claim (full output has 14 fields):

  • state — State
  • countyCode — County Code
  • dateOfLoss — Date Of Loss
  • yearOfLoss — Year Of Loss
  • ratedFloodZone — Rated Flood Zone
  • occupancyType — Occupancy Type
  • amountPaidOnBuildingClaim — Amount Paid On Building Claim
  • amountPaidOnContentsClaim — Amount Paid On Contents Claim
  • totalBuildingInsuranceCoverage — Total Building Insurance Coverage
  • totalContentsInsuranceCoverage — Total Contents Insurance Coverage

Pricing: $0.05 per claim (Pay-Per-Event) — about 20 per $1. Actor start fee $0.01 per run. Live prices are in the Pricing table below.

🤖 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.

Regulatory & enforcement records:

US Legislation · UK FCA Notices · UK FCA Register · EPA ECHO · EPA TRI · CFPB Complaints · CFPB HMDA

Related: SAM.gov Exclusions


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