{ "openapi": "3.0.1", "info": { "title": "Absentee Owner Lead List Builder — County Assessor Rolls", "description": "Build absentee-owner lead lists from county assessor rolls: Cook County IL, Philadelphia PA, NYC. Flags out-of-state and out-of-city owners by situs-vs-mailing mismatch, LLC/trust entity owners, with class and value filters. Clean JSON/CSV leads for wholesalers, flippers, direct mail and agents.", "version": "1.0", "x-build-id": "8s08brY53jzbTFXpd" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/malonestar~absentee-owner-lead-list-builder/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-malonestar-absentee-owner-lead-list-builder", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/malonestar~absentee-owner-lead-list-builder/runs": { "post": { "operationId": "runs-sync-malonestar-absentee-owner-lead-list-builder", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/malonestar~absentee-owner-lead-list-builder/run-sync": { "post": { "operationId": "run-sync-malonestar-absentee-owner-lead-list-builder", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "county": { "title": "County / city", "enum": [ "cook-il", "philadelphia-pa", "nyc" ], "type": "string", "description": "Which assessor/parcel roll to build leads from. cook-il = Cook County IL (Chicago area, full mailing-address mismatch classification). philadelphia-pa = Philadelphia OPA (full classification). nyc = NYC PLUTO (owner names only — no mailing address in the source, so rows are corporate/LLC-owner flag lists with absentee_tier=unknown).", "default": "cook-il" }, "absenteeTier": { "title": "Absentee tier filter", "enum": [ "any", "out_of_state", "out_of_city", "same_area_diff_address", "owner_occupied_likely" ], "type": "string", "description": "Keep only leads in one absentee tier. out_of_state = owner's mailing state differs from the property state (strongest absentee signal). out_of_city = mailing city differs, same state (out_of_county is accepted as an alias). same_area_diff_address = same city but a different street address. owner_occupied_likely = mailing matches the property. any = no tier filter. Ignored for nyc (no mailing data).", "default": "any" }, "entityOnly": { "title": "Entity owners only (LLC / trust / corp)", "type": "boolean", "description": "Keep only parcels whose owner name looks like a legal entity (LLC, LP, LLP, LTD, TRUST, TR, CORP, INC, CO, COMPANY, PARTNERS, HOLDINGS, PROPERTIES, BANK). Great for targeting investor-owned inventory; this is the only useful filter for the nyc leg.", "default": false }, "propertyClassPrefix": { "title": "Property class prefix", "type": "string", "description": "Filter by the source's property-class code prefix. cook-il: Cook Assessor major class, e.g. \"2\" = residential, \"3\" = multi-family, \"5\" = commercial/industrial. nyc: PLUTO building class, e.g. \"A\" = one-family, \"C\" = walk-up apartments. philadelphia-pa: OPA category_code, e.g. \"1\" = single family (applied client-side). Leave empty for all classes." }, "minAssessedValue": { "title": "Minimum assessed / market value (USD)", "minimum": 0, "type": "integer", "description": "Keep only parcels at or above this value. Uses market_value for philadelphia-pa and assesstot for nyc. The Cook County Parcel Universe dataset carries no assessed-value column, so this filter is ignored for cook-il (a warning is logged)." }, "maxResults": { "title": "Max leads", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of lead rows to emit (caps your cost — you are billed per result row). Hard cap 10,000 per run.", "default": 100 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } }