Property Lookup API: address in, property record out
Turn a US address into the property record: beds, baths, square footage, year built, listing status, list price and last sale from public real-estate listing data. 15 credits, only charged on a match.
15
Credits per match
~$0.05-0.07 per property
0
Credits on a miss
no record, no charge
1-3 min
First live fetch
instant repeats for 7 days
Facts
No modeled value estimates
listing and sale record only
What Property Lookup gives you
The whole property record in one call
Beds, baths, square footage, home type and year built: the physical facts of the property, returned as one structured record from a single address string.
- Beds, baths and square footage
- Home type and year built
- One address string in
- Structured JSON out
Listing status and last sale together
See whether the property is on the market right now, with list price and days on market, next to the last sold date and price from the public record. Current asking and past paid, side by side.
- For-sale or off-market status
- List price and days on market
- Last sold date and price
- Photo count on the listing
Fetched live, cached for 7 days
Each first lookup is a live deep fetch of the property record, not a read from a database that went stale last year. It typically takes one to three minutes, and repeat lookups on the same address within 7 days return instantly from cache.
- Live fetch, typically 1-3 min
- Current listing status
- Repeats instant for 7 days
- No stale-database surprises
Only charged on a match
If the address does not resolve to a property record, you pay nothing. That makes it safe to run raw mailing lists and unverified addresses where a real share of the rows were always going to miss.
- Zero credits on no match
- Applies to bulk jobs too
- Predictable cost on messy lists
- No minimum commitment
About six cents per property
15 credits per matched property works out to roughly $0.07 on the Starter plan and $0.05 on Growth. Qualifying a 1,000-address mailing list costs about $53-75, and only the addresses that match bill at all.
- 15 credits per match
- ~$0.05 per property on Growth
- ~$0.07 per property on Starter
- Misses are free
The missing half of a skip trace
Skip Trace and Reverse Phone Lookup tell you who to call; Property Lookup tells you whether the address is worth the call: a 3-bed house that fits the buy box, an active listing, or a miss. Same credits, same API key, one workflow.
- Pairs with Skip Trace
- Pairs with Reverse Phone Lookup
- One shared credit balance
- Bulk CSV supported
Address in, listing facts out
Send a US address
POST one address string: street, city and state. No parcel number or other identifier needed; the lookup matches the string to the property record.
$ POST /v1/property-lookup
"address": "1417 Cedar Bend Dr,
Austin, TX 78758"
> one address string, that is it
We fetch the record live
First lookups run a live deep fetch of the property record, typically one to three minutes. Repeats on the same address within 7 days return instantly from cache.
Address matched to property
Live record located
Listing and last sale read
Building record, 1-3 min fresh
Get the listing facts
Beds, baths, square footage, year built, listing status, list price and last sale land in one JSON payload. A match bills 15 credits; a miss bills nothing.
address1417 Cedar Bend Dr
size3 bd, 2 ba, 1,642 sqft
last sold2016, $289,000
One endpoint. A US street address in, structured data out.
Same authentication, same credit balance, and the same response envelope as every other 1Lookup product. If you have already integrated one endpoint, this one is a URL change.
curl -X POST https://app.1lookup.io/api/v1/property-lookup \
-H "Authorization: Bearer $API_KEY" \
-H "Content-Type: application/json" \
-d '{
"address": "1417 Cedar Bend Dr, Austin, TX 78758"
}'{
"classification": {
"matched": true,
"address": "1417 Cedar Bend Dr, Austin, TX 78758",
"beds": 3,
"baths": 2,
"sqft": 1642,
"home_type": "single_family",
"year_built": 1998,
"listing_status": "for_sale",
"list_price": 425000
},
"insights": {
"property_lookup_result": {
"street_address": "1417 Cedar Bend Dr",
"city": "Austin",
"state": "TX",
"zip_code": "78758",
"days_on_market": 24,
"last_sold_date": "2016-08-12",
"last_sold_price": 289000,
"photo_count": 31
}
},
"metadata": { "credits_used": 15, "cache_hit": false }
}What a matched property looks like
One call turns an address on a mailing list into a property you can qualify: the physical facts, the current listing and the last sale from the public record, side by side with the raw JSON your code receives.
- Address1417 Cedar Bend Dr, Austin, TX 78758
- Home typeSingle family
- Beds3 bd
- Baths2 ba
- Size1,642 sqft
- Year built1998
- Listing statusFor sale
- List price$425,000
- Days on market24
- Last soldAug 2016 for $289,000
- Photos on listing31
{
"classification": {
"matched": true,
"address": "1417 Cedar Bend Dr, Austin, TX 78758",
"beds": 3,
"baths": 2,
"sqft": 1642,
"home_type": "single_family",
"year_built": 1998,
"listing_status": "for_sale",
"list_price": 425000
},
"insights": {
"property_lookup_result": {
"days_on_market": 24,
"last_sold_date": "2016-08-12",
"last_sold_price": 289000,
"photo_count": 31
}
},
"metadata": { "credits_used": 15 }
}Every field you get back
No hidden tiers. Every field below is returned on a successful lookup at the price shown above.
Property
- home_type
- beds
- baths
- sqft
- year_built
Listing
- listing_status
- list_price
- days_on_market
Sale history
- last_sold_date
- last_sold_price
Identity & media
- address
- photo_count
Who uses Property Lookup
Real-estate investors qualifying seller leads
A motivated-seller lead is just an address until you know what stands on it. One call returns beds, baths, square footage and year built, so a lead that does not fit the buy box drops out before anyone drives to see it.
Skip tracers completing a trace
The phone side of a trace finds the person; this finds the property. Confirm the address in a file is a real residence, see whether it is currently listed for sale, and note the last sale on record, all from the address you already have.
Debt collection verifying assets
An address on file becomes asset context: the property type behind it, whether it is on the market, and what it last sold for from the public record, useful signal when prioritizing which accounts justify further work.
Wholesalers filtering direct-mail lists
Run the mailing list through before printing. Keep the single-family homes in the right size and age range, drop the condos and the addresses that do not resolve, and the misses cost nothing.
Frequently asked questions
What does Property Lookup return?
Give it a US street address and it returns the property record from public real-estate listing data: beds, baths, square footage, home type, year built, listing status, list price when the property is on the market, days on market, photo count, and the last sold date and price. One call turns an address on a list into a property you can actually evaluate.
What inputs do I need?
A single US address string with street, city and state is enough. The lookup matches it to the property record; you do not need a parcel number or any other identifier.
Am I charged when no property is found?
No. Property Lookup is success-billed: if the address does not resolve to a property record, zero credits are deducted. The 15-credit price applies only when a record comes back, and the same rule applies to API calls, the dashboard and bulk CSV jobs.
How long does a lookup take?
A first-time lookup runs a live deep fetch of the property record, so expect it to take on the order of a minute, typically one to three minutes and occasionally longer, rather than the sub-second responses of our phone and email products. Repeat lookups on the same address within 7 days are served from cache and return instantly.
What does it cost in dollars?
15 credits per matched property, about $0.07 on the Starter plan and $0.05 on Growth. No-match lookups cost nothing, so running a raw mailing list where some addresses never resolve only bills for the addresses that do.
Do you return an estimated home value?
No, and that is deliberate. We return facts from the listing and the public sale record: the list price when the property is on the market, and the last sold date and price. We do not return modeled value estimates. If you need a valuation, build it from the facts we hand you.
How does this fit a skip-trace workflow?
It is the property half of the trace. Skip Trace turns a name and address into phone numbers, and Reverse Phone Lookup turns a number into an identity; Property Lookup tells you what the address itself is: a 3-bed house last sold in 2016, an active listing, or nothing at all. Together they turn one lead into a contactable person at a qualified property.
Can I look up a whole list at once?
Yes. Upload a CSV with an address column and the bulk pipeline resolves every row. Rows where no property record is found cost nothing, so a half-clean or hand-built mailing list does not inflate the bill.