You need a reliable way to look up a trucking carrier by DOT number and return a clean, structured record you can drop into onboarding, dispatch, or risk workflows. By the end of this guide, you’ll authenticate, query the FreightPulse Carrier Lookup for DOT 54283, parse the response, and safely integrate it into your application.
What you’ll build and how authentication works
This walkthrough is an auth-first guide to the FreightPulse Carrier Lookup, focused on DOT 54283. You’ll call the carrier search endpoint with an API key header and process the standardized envelope that FreightPulse returns. Even if you’re prototyping without a key, you can still test within the guest quota.
- Auth: set the header X-API-Key: YOUR_API_KEY. Guest without key: 100 requests/day per IP.
- Envelope: {"success":true,"data":{...}} for successful requests.
- Response type: carrier metadata (e.g., legal_name, status, safety_rating, drivers, address).
- Congestion context: FreightPulse uses IMF PortWatch for port congestion, lagged about 6–7 days, reported as 7-day averages vs a 90-day baseline. It does not provide live AIS wait times.
- Rates caution: do not quote a freight-rates USD fare as today’s price; treat any displayed rates as non-binding or historical.
Keep the Documentation handy for deeper schema notes and edge cases: Documentation.
Quickstart: call the carrier lookup for DOT 54283
The official cURL example queries DOT 54283 and requires the X-API-Key header. Copy and run this in your terminal. Replace only the API key value with your own once you have it; when experimenting without a key, the guest quota applies.
curl -H "X-API-Key: YOUR_API_KEY" "https://freightpulsehq.com/api/v1/carriers?q=54283"This request filters carriers by the value you pass to the q parameter. For DOT lookups, pass the DOT number as a string or numeric value. The server responds with a consistent JSON envelope you can safely parse regardless of result size.
Official JSON response and the fields you’ll actually use
Below is the official sample response for DOT 54283. Use it to wire up your parsing logic before you write any UI code:
{
"success": true,
"data": {
"type": "trucking",
"query": "54283",
"results": [
{
"dot_number": 54283,
"legal_name": "SWIFT TRANSPORTATION COMPANY OF ARIZONA LLC",
"status": "active",
"safety_rating": "S",
"drivers": 12883,
"address": {
"city": "Phoenix",
"state": "AZ",
"country": "US"
}
}
]
}
}Core fields to wire into your system:
- success: boolean you can check first to short-circuit error handling.
- data.type: category of the result set (trucking for DOT carriers).
- data.query: echoes what you searched (useful for logging and audit).
- data.results: array of carrier objects; iterate and select the one you need.
- Carrier fields you’ll likely store:
- dot_number: integer DOT identifier.
- legal_name: carrier’s registered legal name.
- status: operational status string (e.g., active).
- safety_rating: summarized safety rating code.
- drivers: integer count of drivers on record.
- address.city, address.state, address.country: location fields for internal routing or display.
Python example: request, parse, and normalize
This Python snippet mirrors the cURL call and extracts the exact fields from the official JSON. It’s defensive against empty result sets and preserves the envelope contract for future-proofing.
import os
import requests
API_URL = "https://freightpulsehq.com/api/v1/carriers"
API_KEY = os.getenv("FREIGHTPULSE_API_KEY", "YOUR_API_KEY")
def lookup_carrier(dot_number: int) -> dict:
params = {"q": str(dot_number)}
headers = {"X-API-Key": API_KEY}
resp = requests.get(API_URL, headers=headers, params=params, timeout=15)
resp.raise_for_status()
payload = resp.json()
if not isinstance(payload, dict) or not payload.get("success"):
raise RuntimeError("Carrier lookup failed or returned unexpected envelope")
data = payload.get("data", {})
results = data.get("results", []) or []
if not results:
return {
"dot_number": dot_number,
"found": False,
"message": "No carrier records matched this DOT in the response."
}
# Pick the first result; adjust your selection logic if you expect multiple.
c = results[0]
address = c.get("address", {}) or {}
normalized = {
"found": True,
"dot_number": c.get("dot_number"),
"legal_name": c.get("legal_name"),
"status": c.get("status"),
"safety_rating": c.get("safety_rating"),
"drivers": c.get("drivers"),
"city": address.get("city"),
"state": address.get("state"),
"country": address.get("country")
}
return normalized
if __name__ == "__main__":
record = lookup_carrier(54283)
if record["found"]:
print(f"{record['dot_number']} - {record['legal_name']} ({record['status']})")
print(f"Safety rating: {record['safety_rating']}, Drivers: {record['drivers']}")
print(f"Location: {record['city']}, {record['state']}, {record['country']}")
else:
print(record["message"])Suggestions for productionizing:
- Time out your HTTP requests and handle retries for transient network errors.
- Log the echoed data.query to reconstruct what the user searched.
- Serialize the normalized object to your data store to de-duplicate future calls.
Handling auth, quotas, and envelopes safely
Use the X-API-Key header with your provisioned key for consistent throughput. If you don’t include a key during initial prototyping, the guest tier allows 100 requests per day per IP. Build a simple circuit breaker to stop client-side retries when you approach your chosen limit.
Always read the top-level envelope before inspecting results. Check success first; then drill into data, then results. This pattern keeps your integration stable if the schema grows (e.g., additional metadata in the envelope) while still giving you early failure signals.
Cache results for immutable identifiers like DOT numbers to reduce duplicate calls. Choose a TTL appropriate to your operational risk posture; for example, refresh on user demand or at scheduled intervals. When rendering critical decisions from cached data, display the time last fetched next to the record so operators can request an update.
UI and workflow integration tips specific to carrier lookups
Because queries return an array of results, design your UI to handle more than one match. For DOT lookups, a single precise match is common, but your code should still iterate results. Consider showing the following fields directly on your verification panel:
- DOT number and legal name: primary identity pair.
- Status and safety_rating: quick risk signals for an operator.
- Drivers: rough scale indicator if you need capacity checks.
- City, state, country: routing and region awareness.
For onboarding pipelines, store the full carrier JSON blob alongside your normalized fields for traceability. This helps during audits and makes it easier to adopt new fields without a full migration.
Operational notes: congestion signal, currency caution, and logging
If you extend your integration to include congestion context, note that FreightPulse reports port congestion from IMF PortWatch, lagged around 6–7 days and expressed as a 7-day average versus a 90-day baseline. It is not a live AIS wait-time feed. Treat it as a macro signal for planning, not as real-time terminal ETAs.
Do not quote a freight-rates USD fare as today’s price within your app based on any static example you see during development. If you display prices to users, clearly mark them as not current or use your own verified pricing data source with refresh rules.
For observability, log the following for each lookup: the request timestamp (UTC), the q value you sent, HTTP status, success boolean, result length, and a hash of the response body. This provides quick triage on mismatches or sudden schema additions while avoiding sensitive data in plaintext logs.
Troubleshooting common integration issues
1) I get success: false or a non-200 HTTP status
Confirm that you’re setting the header exactly as X-API-Key with your provisioned key. If testing as a guest, verify you haven’t exceeded the 100 requests/day per IP allowance. Back off and retry with exponential delays for transient 429 or network timeouts.
2) The results array is empty
Validate that your q parameter is correct and formatted as a string representation of the DOT (e.g., "54283"). For defensive code, handle zero-length arrays gracefully and surface a clear “not found” message in the UI.
3) My UI assumes only one carrier
Refactor to iterate data.results and select by your preferred criteria (e.g., exact DOT match). Even if you expect a single record, a loop keeps your integration resilient if the API later returns enriched or related records.
4) Data freshness
Cache lookups for performance but give operators a refresh option. Track the timestamp of your last fetch and display it next to the carrier record for full transparency. When you refresh, overwrite your normalized fields and archive prior versions for audit.
End-to-end test checklist
- Auth header present: X-API-Key set to YOUR_API_KEY (or guest limit acknowledged).
- Query string: q=54283 on the carrier endpoint.
- Envelope parsing: check success, then read data and results.
- Field extraction: dot_number, legal_name, status, safety_rating, drivers, and address fields.
- Error paths: empty results, non-2xx status codes, malformed JSON handling.
- Caching and logging: store normalized fields and record last-fetched timestamp in UTC.
FAQ
Q: What’s the correct way to authenticate?
A: Send your key in the header X-API-Key: YOUR_API_KEY. Without a key, you can test under the guest limit of 100 requests/day per IP.
Q: What does the API return on success?
A: A JSON envelope with success: true and a data object that includes type, query, and a results array of carriers. Parse the envelope first, then the results.
Q: Can I rely on live port wait times from FreightPulse?
A: No. Port congestion data comes from IMF PortWatch, lagged about 6–7 days and reported as 7-day averages vs a 90-day baseline—not live AIS wait times.
Q: Should I display a USD freight rate as “today’s price” from this API?
A: No. Do not quote a freight-rates USD fare as today’s price. Use your own pricing source and clear refresh rules for any live quotes.
Q: How do I avoid repeated lookups for the same DOT?
A: Cache by DOT number with a TTL appropriate to your operations. Store the full source JSON and your normalized fields to simplify future migrations.
Get a key and start building with the Carrier Lookup today. Create your account here: Register. For endpoint reference and field notes, keep the Documentation open while you integrate.