We extract FMCSA carrier data, NHTSA recalls, BTS statistics, and infrastructure grants from transportation.gov portals. Delivered as clean JSON, CSV, or Parquet to S3 or BigQuery on your schedule.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for FMCSA Carrier Data objects from transportation.gov. All fields typed and schema-versioned.
"usdot_number": "1234567", "legal_name": "APEX TRANSIT LLC", "primary_status": "ACTIVE", "fleet_size": 42, "safety_rating": "SATISFACTORY", "out_of_service_pct": 4.2, "inspection_count": 128
| # | usdot_number | legal_name | dba_name | carrier_operation | primary_status | mc_number |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for NHTSA Recalls objects from transportation.gov. All fields typed and schema-versioned.
"nhtsa_campaign_number": "23V456000", "manufacturer": "Ford Motor Company", "component": "ELECTRICAL SYSTEM: WIRING", "affected_population": 12450, "report_date": "2023-08-14", "remedy": "Dealers will inspect and replace the wiring harness free of charge."
| # | nhtsa_campaign_number | manufacturer | component | summary | consequence | remedy |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for BTS Airline Delays objects from transportation.gov. All fields typed and schema-versioned.
"carrier_code": "DL", "flight_number": "1432", "origin_airport": "ATL", "dest_airport": "JFK", "delay_minutes": 45, "delay_cause": "National Aviation System Delay", "scheduled_departure": "2023-10-12T14:30:00Z"
| # | carrier_code | flight_number | origin_airport | dest_airport | scheduled_departure | actual_departure |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Grant Awards objects from transportation.gov. All fields typed and schema-versioned.
"award_id": "DOT-RAISE-2023-042", "program_name": "RAISE Grants", "recipient": "City of Phoenix", "funding_amount": 25000000.0, "agency": "FHWA", "fiscal_year": 2023, "status": "Awarded"
| # | award_id | program_name | recipient | state | funding_amount | fiscal_year |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for PHMSA Hazmat Incidents objects from transportation.gov. All fields typed and schema-versioned.
"report_number": "E-202310-0452", "incident_date": "2023-10-05", "location_state": "OH", "material_name": "SODIUM HYDROXIDE SOLUTION", "hazard_class": "8", "damages_usd": 15000, "transport_phase": "In Transit"
| # | report_number | incident_date | location_city | location_state | material_name | hazard_class |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Government data portals are fragmented across sub-agencies. We handle the legacy ASP.NET forms, PDF parsing, and strict pagination limits to deliver clean, relational records.
Capture USDOT numbers, crash indicators, and out-of-service rates across all registered commercial carriers.
Monitor vehicle, tire, and equipment recalls. We extract campaign numbers, affected populations, and remedy details.
Extract raw aviation, maritime, and freight movement data from the Bureau of Transportation Statistics.
Parse unstructured NTSB accident reports and hazmat filings into tabular JSON formats.
Map disparate schemas from FAA, FHWA, and FRA into a single relational model.
Track BIL and IIJA infrastructure funding disbursements, award recipients, and project statuses.
Run overnight diffs on carrier safety ratings for integration into fleet management software.
Bypass strict public API limits on federal data portals using distributed residential proxies.
Extract decades of archived transit statistics and safety records to build baseline datasets.
Extract and normalise highway project and incident coordinates for spatial analysis.
Brief in. Clean data out.
Specify the sub-agencies (FMCSA, NHTSA, BTS), required fields, and historical backfill requirements.
We configure crawlers to navigate legacy government forms, handle ASP.NET ViewStates, and parse PDF tables.
Schema validation, null-rate checks, and cross-referencing against official summary statistics.
JSON, CSV, or Parquet pushed to your S3 bucket or BigQuery dataset on an agreed cadence.
Federal portals were not built for programmatic access. Here is how we extract data reliably from legacy government systems.
Many DOT portals rely on decade-old ASP.NET architectures. We manage complex ViewState variables, hidden form fields, and strict session timeouts to maintain state during deep pagination.
Crucial safety data often lives in scanned PDF reports. Our pipelines integrate pdfplumber and Tesseract OCR to extract tables, normalise headers, and convert unstructured text into queryable JSON.
Federal search tools frequently cap results at 10,000 records. We programmatically iterate through date ranges, geographic filters, and alphabetised queries to extract complete datasets without hitting artificial ceilings.
The FAA, FMCSA, and NHTSA format data differently. We map disparate date formats, status codes, and entity identifiers into a unified, version-controlled schema before delivery.
Government firewalls block aggressive scraping aggressively. We distribute requests across US-based residential proxies with conservative concurrency limits to ensure uninterrupted, compliant extraction.
Logistics companies and freight brokerages track FMCSA safety scores to verify carrier compliance before dispatch.
OEMs and tier-one suppliers monitor NHTSA defect trends to anticipate recall campaigns and component failures.
Private equity firms and civil contractors track federal grant allocations to forecast regional construction demand.
Actuaries ingest BTS and NTSB data to adjust commercial auto premiums based on historical crash probabilities.
Analysts track new USDOT registrations and fleet size expansions to model trucking capacity and spot rates.
Universities aggregate decades of flight delay and maritime data to study supply chain resilience.
"The Department of Transportation holds the definitive record of US physical infrastructure : but extracting it from 14 disparate sub-agency portals requires serious engineering."
Federal data portals are notorious for legacy architectures, undocumented rate limits, and nested PDF reports. DataFlirt builds resilient pipelines that normalise FMCSA, NHTSA, and BTS data into clean warehouse tables. We handle the session states and pagination limits so your team can focus on analysis.
Everything supported by our transportation.gov scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Playwright handles complex ASP.NET ViewState variables, hidden tokens, and multi-step form submissions required by older federal databases.
Integration of pdfplumber and Tesseract OCR to extract tabular data from scanned federal filings and unstructured accident reports.
US-based residential proxy pools distribute request load to avoid triggering federal firewall rate limits and IP bans.
Data delivered to where your team already works — no new tooling required.
About transportation.gov scraping, legality, and pipeline operations.
Ask us directly →Yes. Data published on transportation.gov and its sub-agency domains is in the public domain under US law. DataFlirt extracts only publicly accessible records and respects government rate limits. We do not attempt to bypass authentication for gated carrier portals or extract redacted PII.
We run a dedicated extraction pipeline using pdfplumber and Tesseract OCR. This converts unstructured text and scanned tables from NTSB and PHMSA reports into structured, queryable JSON fields.
Yes. We support data extraction from the FAA, FHWA, FMCSA, FRA, NHTSA, PHMSA, and BTS. We map the differing schemas from these sub-agencies into a unified format for your warehouse.
We can configure pipelines to run daily syncs. Our change detection system calculates diffs against your existing database, pushing only updated safety ratings, inspection counts, and out-of-service percentages.
Yes. Our crawlers programmatically iterate through narrow date ranges, geographic filters, and query parameters to extract complete datasets without hitting the portal's artificial export ceilings.
Yes. We can extract decades of archived transit statistics, recall histories, and safety records dating back to the inception of the respective digital portals.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off historical backfill of NHTSA recalls or a continuous feed of FMCSA safety ratings : we scope, build, and operate the pipeline. Tell us what you need.
