US County Assessor Data: Assessed Value, Sales by Parcel

Look up a Cook County, Illinois parcel by PIN or street address and get its assessed value by year, year built, square footage, bedrooms and baths, and recorded sale history, in one row. The data comes straight from the county Assessor's open-data portal, so there is no scraping, no proxy and no key. Who uses it: real-estate analysts and investors pricing a parcel list, proptech and lead-gen teams enriching addresses, appraisers and researchers pulling assessment history. Owner, buyer and seller names are never returned.

Cook County only for now (Chicago and its suburbs, about 1.8 million parcels). A parcel that is a condo, or commercial, has an assessed value and sale history but no year built or bedrooms, because the Assessor publishes those characteristics for single- and multi-family buildings (under 7 units) only.

How to use

1. In the Apify Console. Open the actor page and click Start — the parcels field is already pre-filled with a working example. Results land in the run's dataset as soon as each item is found.
2. Via the API. Call it directly with a POST request — no Console needed once you have an API token:

   curl "https://api.apify.com/v2/acts/accountable_eel~us-county-assessor-open-data-lookup/run-sync-get-dataset-items?token=<YOUR_TOKEN>" \
     -X POST \
     -H "Content-Type: application/json" \
     -d '{"parcels":["32213210090000"]}'
   

3. On a schedule. Save this actor as an Apify Task with the input you want, then add a Schedule (hourly, daily, weekly) so it runs on its own — no server of your own required.

Input

{
  "parcels": [
    "32213210090000"
  ]
}

One per line: a 14-digit Cook County PIN (dashes allowed, e.g. 32-21-321-009-0000) or a street address (e.g. 1617 Hanover St, Chicago Heights). Owner names are never returned. Accepted formats: 32213210090000, 32-21-321-009-0000, 1617 Hanover St, Chicago Heights IL 60411.

One dataset row is returned per parcel. A PIN or address that matches nothing comes back as a row with "found": false and is never charged. An address shared by several parcels (a condo building) returns one row per parcel, up to 5.

Output

One row per item, for example:

query	found	status	parcelCount	parcels	pin	pinFormatted	propertyAddress	propertyCity	propertyZip	propertyClass	township	neighborhood	assessmentYear	assessmentStage	assessedBuildingValueUsd	assessedLandValueUsd	assessedTotalValueUsd	valueHistory	yearBuilt	buildingSqft	lotSqft	bedrooms	fullBaths	halfBaths	rooms	characteristicsYear	buildingCount	saleCount	lastSaleDate	lastSalePriceUsd	saleHistory	sourceUrl	scrapedAt
32213210090000	true	OK		<all parcels (full list)>		<pin (formatted)>									<assessed building value (usd)>	<assessed land value (usd)>	<assessed total value (usd)>										<buildings (cards) on the parcel>			<last sale price (usd)>			1970-01-01T00:00:00.000Z

A miss comes back as a row with "found": false and is never charged. Values the Assessor did not record are null, never 0. Dollar figures are assessed values, not market values: the Assessor assesses residential property at a fraction of market value.

Example row (PIN 32213210090000, trimmed):

{
  "pinFormatted": "32-21-321-009-0000",
  "propertyAddress": "1617 HANOVER ST",
  "propertyCity": "CHICAGO HEIGHTS",
  "assessmentYear": 2025,
  "assessmentStage": "BOARD_OF_REVIEW",
  "assessedBuildingValueUsd": 5256,
  "assessedLandValueUsd": 930,
  "assessedTotalValueUsd": 6186,
  "yearBuilt": 1897,
  "buildingSqft": 740,
  "lotSqft": 3100,
  "bedrooms": 2,
  "fullBaths": 1,
  "saleCount": 0,
  "lastSalePriceUsd": null
}

Pricing

• Parcel returned: $30 per 1,000 parcels

Plus a $0.002 start fee per run. Each event above is billed independently, only when it actually returns data — misses (found:false) are never charged.

Example runs

Paste any of these into the Input tab and press Start. All three return rows with no key, no token and no account of your own beyond an Apify login.

One parcel by PIN. The default shape (dashes are fine).

{ "parcels": ["32-21-321-009-0000"] }

A list of parcels, assessment history for each.

{ "parcels": ["32213210090000", "14081020220000"], "maxResults": 20 }

One street address. House number and street as the Assessor spells it; city or ZIP are optional and narrow the match.

{ "parcels": ["1617 Hanover St, Chicago Heights IL 60411"] }

Data source and limits

Records come from the Cook County Assessor datasets on datacatalog.cookcountyil.gov (assessed values, parcel addresses, single and multi-family improvement characteristics, parcel sales). The portal throttles per IP, so the actor makes about four requests per parcel, one second apart; expect roughly 4 to 6 seconds per parcel. Sale history lists the 10 most recent recorded sales; a sale price of 0 in the source (a transfer with no consideration) is returned as null. Property owner and taxpayer names, and sale buyer and seller names, are deliberately excluded.

Use it from Clay, n8n, Make, or an AI agent

This actor runs synchronously over plain HTTP — call it directly from a script, a workflow tool, or an AI agent, no Apify Console needed once you have an API token.

curl "https://api.apify.com/v2/acts/accountable_eel~us-county-assessor-open-data-lookup/run-sync-get-dataset-items?token=<YOUR_TOKEN>" \
  -X POST \
  -H "Content-Type: application/json" \
  -d '{"parcels":["32213210090000"]}'

n8n. Add an HTTP Request node: Method POST, URL https://api.apify.com/v2/acts/accountable_eel~us-county-assessor-open-data-lookup/run-sync-get-dataset-items?token=<YOUR_TOKEN>, Body Content Type JSON, JSON Body {"parcels":["32213210090000"]} (swap in an expression from an earlier node for a real value).

Clay. Add an "HTTP API" column: Method POST, URL https://api.apify.com/v2/acts/accountable_eel~us-county-assessor-open-data-lookup/run-sync-get-dataset-items?token=<YOUR_TOKEN>, Body {"parcels":["{{parcel or address}}"]}, mapping the row's parcel or address into the parcels array.

MCP. In Claude, Cursor, or any MCP client with the Apify MCP server, ask for "county property assessor data lookup" — the agent will find and run this actor.