How to Verify US Addresses in Django
Confirm an address is real and deliverable before you ship to it. Free API, a small requests service module, a Django view that verifies on submit, and a clear rule for every deliverability outcome.
A user types an address into your Django checkout form. It looks fine. It even passes your form validation. But the apartment number is wrong, the street is misspelled, or the ZIP belongs to the next town over. You only find out when the package bounces back - and each failed delivery costs $15-20 to re-ship, plus a support ticket and a frustrated customer.
Address verification catches the problem at submit time. You send the raw address to an API, and it tells you whether the postal service can actually deliver there, hands back a clean standardized version with the ZIP+4 and county filled in, and splits out the confirmed unit number. You store good data instead of a guess.
This tutorial shows you how to verify US addresses in a Django app using sthan.io's address API. We put the requests call in a small service module and call it from a Django view at form submit - the same module drops into a Django REST Framework view, a Celery task, or a management command unchanged.
Quick summary: Send your API key as aBearertoken, callGET /v2/address-verification/usa/{address}, and readResult.deliverableStatusplus the standardizedResult.fullAddress. AcceptConfirmed, warn onUnknown, blockNotDeliverable. The free tier gives you 100 requests/month - no credit card required.
What you'll need: Python 3.8+, Django 3.2+, and a free sthan.io account. No credit card, no approval queue. The free verification tier is 100 requests/month; paid plans start at $12/month if you need more. (Verification is a one-call-per-address confirmation, so the volumes are far lower than a real-time autocomplete - 100/month covers a small store's checkout traffic.)
Try it first
Verify any US address right here - no signup required:
Try it live
That's what you're building. Type a messy address - wrong casing, a misspelled street, a missing ZIP - and the API returns the standardized form along with a deliverability verdict you can act on.
What the API returns
Every response is wrapped in a standard envelope. For verification, the Result field is a single object describing the matched address. This is a real response for 1600 Pennsylvania Ave NW:
{
"Id": "118a23c7-d836-46af-a17f-022a3754e36c",
"Result": {
"inputAddress": "1600 Pennsylvania Ave NW Washington DC 20500",
"fullAddress": "1600 Pennsylvania Ave NW, Washington, DC 20500-0005",
"addressLine1": "1600 Pennsylvania Ave NW",
"addressLine2": "Washington, DC 20500-0005",
"unitType": null,
"unitNumber": null,
"city": "Washington",
"stateCode": "DC",
"county": "District Of Columbia",
"zipCode": "20500",
"zip4": "0005",
"dpvConfirmation": "Y",
"deliverableStatus": "Confirmed",
"confidence": 0.6,
"matchTier": "Approximate",
"matchMode": "Speculative",
"matchCode": {
"houseNumber": "Matched",
"street": "Matched",
"unit": "NotApplicable",
"city": "Matched",
"state": "Matched",
"zipCode": "Matched",
"zip4": "Inferred"
},
"lastVerifiedDate": "2026-06-16T22:40:51",
"footnotes": ["recovered: standardized via correction, not an exact match"]
},
"ClientSessionId": null,
"StatusCode": 200,
"IsError": false,
"Errors": []
}
Id, Result, StatusCode, IsError, Errors) are PascalCase, while the fields inside Result are camelCase (fullAddress, deliverableStatus, matchCode). Read each key exactly as shown - a Python dict lookup is case-sensitive, so result["FullAddress"] would raise KeyError.
The fields you'll use most often:
fullAddress- the postal-standardized address. Store this, not the user's raw input.deliverableStatus- a plain-English summary of deliverability (covered below). Branch your checkout on this.unitType/unitNumber- the confirmed apartment or suite as discrete fields (e.g.APT,4B), ornullwhen there is no unit. Only a postal-confirmed unit appears here.zip4andcounty- appended for you even when the input only had a 5-digit ZIP.matchTierandconfidence- how the match was reached. The example above isApproximate/0.6because speculative mode standardized the input rather than matching it verbatim - stillConfirmedas deliverable.matchCode- a per-component breakdown (Matched/Corrected/Inferred/Unmatched/NotApplicable) so you can see exactly which fields were trusted versus fixed. (The response also carries postal routing fields -carrierRoute,deliveryPoint,elot- omitted above for brevity.)
Get your API key
- Sign up at sthan.io and subscribe to the free Address Verification tier
- Open your dashboard and create an API key
- Copy the key - it looks like
sthan_live_xxxxxxxxxxxxxxxx
You get the key immediately, with no approval queue. An API key is the simplest way to authenticate: you send it as a Bearer token on every request and there is no separate login step. (If you prefer a short-lived token, there is a JWT flow covered later.)
Configure Django settings
Install requests and read the key from the environment in settings.py so it never lands in source control:
pip install requests
# Set the key in your shell (or a .env file loaded by django-environ)
export STHAN_API_KEY="sthan_live_xxxxxxxxxxxxxxxx"
settings.py. Read it from an environment variable in production and a .env file (loaded with django-environ) locally - and add .env to .gitignore.
# settings.py
import os
STHAN_BASE_URL = "https://api.sthan.io"
STHAN_API_KEY = os.environ["STHAN_API_KEY"] # raises early if it isn't set
Build the verification service module
Keep the API call out of your views in a small module, for example addresses/sthan.py. A single requests.Session reuses the connection pool and the auth header across calls. The client URL-encodes the address, calls the endpoint, unwraps the envelope, and returns the Result object:
# addresses/sthan.py
import requests
from urllib.parse import quote
from django.conf import settings
# One Session for the whole app: connection pooling + a default auth header
session = requests.Session()
session.headers.update({"Authorization": f"Bearer {settings.STHAN_API_KEY}"})
class VerificationError(Exception):
"""Raised when the API reports a business error in the envelope."""
def verify_address(address: str, mode: str = "speculative",
timeout: float = 10.0) -> dict:
encoded = quote(address.strip(), safe="")
url = f"{settings.STHAN_BASE_URL}/v2/address-verification/usa/{encoded}"
response = session.get(url, params={"match": mode}, timeout=timeout)
response.raise_for_status() # surfaces 4xx/5xx as an exception
envelope = response.json()
if envelope.get("IsError"):
raise VerificationError(", ".join(envelope.get("Errors", [])))
return envelope["Result"]
That's the whole integration. From a shell or a view, one call:
result = verify_address("1600 pennsylvania ave nw washington dc 20500")
print(result["fullAddress"]) # 1600 Pennsylvania Ave NW, Washington, DC 20500-0005
print(result["deliverableStatus"]) # Confirmed
print(result["zip4"]) # 0005
Session? Creating a fresh requests.get() per request opens a new TCP connection every time. A shared Session defined once at module import keeps connections alive between verifications and attaches the Authorization header once, which matters as soon as you verify more than a handful of addresses.
Choose a match mode
The match parameter controls how much typo tolerance the verifier applies. The same call supports four modes, from strictest to loosest:
| Mode | Behavior | Use when |
|---|---|---|
strict |
Only confirmed-deliverable matches. Returns NotDeliverable on a miss rather than guessing. |
You refuse to ship to anything less than a confirmed address. |
balanced |
Exact plus typo-corrected matches. Returns the best candidate, marking deliverability Unknown when it can't be confirmed. |
Typical checkout - tolerant of small mistakes, still expects a real address. |
fuzzy |
Wider recovery; the deliverability gate relaxes to "not explicitly undeliverable." Higher recall, more risk of a loose match. | Cleaning messy legacy data where some match beats none. |
speculative |
Loosest recovery, with extra tolerance for heavily misspelled street names. Any best-effort match is flagged matchTier = "Speculative". |
Maximum recovery / agent tooling. This is the default. |
If you omit match, the endpoint defaults to speculative for the widest recovery. Whichever mode you pick, the location-defining parts of the address - house number, ordinal, directional, state, and the street's core name - are never substituted. A looser mode only widens tolerance for misspellings of the same street, never a jump to a different one.
Interpret the result
deliverableStatus is the one field most integrations branch on. It collapses the raw postal DPV code into four plain values:
deliverableStatus | Meaning | What to do |
|---|---|---|
Confirmed |
The building and any unit were confirmed. Safe to ship. | Accept. Store fullAddress. |
ConfirmedPrimaryOnly |
The building was confirmed but the apartment/suite was missing or invalid. | Accept with a nudge to re-check the unit. |
Unknown |
Deliverability could not be confirmed. The address may exist but isn't vouched for. | Soft warning - let the user proceed, flag for review. |
NotDeliverable |
The address was explicitly rejected. | Block. Ask the user to correct it. |
Unknown is not the same as NotDeliverable. A blank DPV code means "we couldn't confirm," not "this is a bad address." If you hard-block on Unknown, you'll reject perfectly real addresses (new construction, recently added units). Block only on NotDeliverable; treat Unknown and ConfirmedPrimaryOnly as warnings.
For richer logic, pair the status with matchCode. If matchCode["street"] is Corrected, you know the verifier fixed a typo and should show the user the standardized address to confirm. If confidence is below your threshold or matchTier is Speculative, treat the result as a suggestion rather than a fact.
Verify in a Django view
Verification belongs on the server, at the moment the user submits - not in the browser. The API does not enable CORS for browser requests, and your API key must never reach client-side JavaScript. Here is a Django view that verifies the submitted address and returns a decision the front end can act on:
# addresses/views.py
import json
from django.http import JsonResponse
from django.views.decorators.http import require_POST
import requests
from .sthan import verify_address, VerificationError
@require_POST
def check_address(request):
payload = json.loads(request.body or "{}")
raw = (payload.get("address") or "").strip()
if not raw:
return JsonResponse({"ok": False, "reason": "empty"}, status=400)
try:
result = verify_address(raw)
except (requests.RequestException, VerificationError):
# Don't punish the user for our hiccup: accept, but mark unverified.
return JsonResponse({"ok": True, "verified": False, "standardized": raw})
status = result["deliverableStatus"]
if status == "NotDeliverable":
return JsonResponse({
"ok": False,
"reason": "not_deliverable",
"message": "We couldn't confirm this address is deliverable. "
"Please double-check it.",
}, status=422)
warning = None
if status == "ConfirmedPrimaryOnly":
warning = "We confirmed the building but not the unit - check the apartment/suite."
elif status == "Unknown":
warning = "We couldn't fully confirm this address. Please make sure it's correct."
return JsonResponse({
"ok": True,
"verified": status == "Confirmed",
"standardized": result["fullAddress"],
"unit": {"type": result["unitType"], "number": result["unitNumber"]},
"zip4": result["zip4"],
"warning": warning,
})
Wire it up in urls.py:
# urls.py
from django.urls import path
from addresses import views
urlpatterns = [
path("checkout/address", views.check_address, name="check_address"),
]
The front end posts the raw address (with Django's CSRF token) to /checkout/address and gets back a clean, standardized string plus a yes/warn/no decision. Django's CSRF middleware protects the request, and the API key stays server-side. Store standardized - the postal-formatted fullAddress - rather than the user's original text, and you've turned a guess into shippable data.
Alternative: JWT authentication
An API key is the simplest option and is all most apps need. If your security policy prefers short-lived credentials, the platform also supports a 2-step JWT flow. You call GET /Auth/Token once with your profileName and profilePassword headers, receive a token valid for up to 60 minutes, then send that token as the Bearer value on subsequent calls:
# addresses/sthan.py
from django.conf import settings
def get_token() -> str:
response = session.get(
f"{settings.STHAN_BASE_URL}/Auth/Token",
headers={
"profileName": settings.STHAN_PROFILE_NAME,
"profilePassword": settings.STHAN_PROFILE_PASSWORD,
},
timeout=10,
)
response.raise_for_status()
return response.json()["Result"]["access_token"]
# Swap the static key for a cached token, refreshing on expiry
session.headers.update({"Authorization": f"Bearer {get_token()}"})
Everything else - the endpoint, the envelope, the parsing - stays exactly the same. Cache the token and refresh it shortly before the 60-minute expiry rather than fetching one per request.
Handle errors
Two status codes are worth handling explicitly so a hiccup never blocks a sale:
- 401 - The key or token was rejected. Check the value and, on the JWT flow, refresh and retry once.
- 429 - Rate limit reached. Back off and retry, or accept the address unverified rather than failing the checkout.
# addresses/sthan.py
import time
def verify_with_retry(address: str, mode: str = "speculative",
retries: int = 2) -> dict | None:
for attempt in range(retries + 1):
try:
return verify_address(address, mode)
except requests.HTTPError as exc:
if exc.response is not None and exc.response.status_code == 429 \
and attempt < retries:
time.sleep(2 ** attempt) # 1s, then 2s
continue
raise
return None
The exponential back-off (1s, then 2s) is enough for transient limits. For heavier batch jobs - cleaning a table of saved addresses in a management command - add a circuit breaker so one bad minute doesn't stall the whole queue.
What's next: fix addresses before they're submitted
Verification confirms an address at submit. You can stop bad addresses even earlier by helping users enter the right one in the first place: Address Autocomplete suggests complete, postal-formatted addresses as the user types, so most submissions are already clean before verification runs. Autocomplete has its own free tier of 100,000 requests/month - pairing the two (autocomplete as they type, one verification call at submit) keeps both your data and your costs in good shape. The Django autocomplete walkthrough is here: Address Autocomplete in Django.
If you need to break an address into components, parse freeform input, or get latitude/longitude, the same envelope and the same requests pattern apply. The full Python walkthrough covering verification, parsing, and geocoding together is in Integrate Address APIs in Python.
Frequently Asked Questions
Put the requests call in a small service module, send your sthan.io API key as a Bearer token, and call GET /v2/address-verification/usa/{address}. Read the standardized address from Result.fullAddress and the deliverability from Result.deliverableStatus (envelope keys are PascalCase, the fields inside Result are camelCase), then branch in a Django view that runs on form submit. The full working module and view are in the sections above.
The free tier includes 100 verification requests per month with no credit card required. Paid plans start at $12/month. There is no trial period; the free tier is permanent. See pricing for higher-volume plans.
Confirmed means the building and any unit were confirmed - safe to ship. ConfirmedPrimaryOnly means the building was confirmed but the apartment or suite was not. NotDeliverable means the address was explicitly rejected - block it. Unknown means deliverability couldn't be confirmed; it is not the same as NotDeliverable, so treat it as a soft warning rather than a hard block.
Use strict if you refuse to ship to anything less than a confirmed deliverable address, balanced for typo-tolerant checkout matching, and speculative (the default) for the widest recovery on heavily mistyped input. Best-effort matches are clearly labelled matchTier = "Speculative", and location-changing components stay sacred in every mode.
Call it from your Django view at form submit, not the browser. The API does not enable CORS for browser requests, and putting your API key in client-side JavaScript would expose it to anyone viewing the page source. Verify server-side - where Django's CSRF protection covers the request and the key stays safe - then return a clean decision to the page.
Yes. The response includes unitType and unitNumber as discrete fields (for example APT and 4B), or null when there is no unit, in addition to the inline addressLine1. Only the postal-confirmed unit is surfaced - an unconfirmed unit typed by the caller is never echoed back as verified.
Catch bad addresses before they cost you a re-ship
Add one verification call at submit to confirm deliverability, standardize the address, and append ZIP+4 - free tier of 100 requests/month, paid from $12/month, no credit card to start.