# TIF & Opportunity Zones Incentives Aggregator (`tristana/tif-oz-incentives-finder`) Actor Aggregate Opportunity Zones, TIF districts, and HUBZones into one dataset. HUD OZ census tracts, Chicago TIF data, SBA HUBZones — for site selection & econ dev. - **URL**: https://apify.com/tristana/tif-oz-incentives-finder.md - **Developed by:** [Tristan A](https://apify.com/tristana) (community) - **Categories:** Real estate - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## 💰 TIF & Opportunity Zones Incentives Aggregator Aggregate economic development incentive data from public sources into one normalized dataset. Covers Opportunity Zones, TIF districts, and HUBZones — the three incentive programs that CRE developers, site selectors, and economic development professionals need to evaluate sites. ### What This Actor Does | Data Source | What You Get | Records | |---|---|---| | **HUD Opportunity Zones** (OZ 1.0) | 8,765 designated census tracts — GEOID, state, county, tract | ~8.7K | | **Chicago TIF Districts** | 100+ active Tax Increment Financing districts | ~100 | | **SBA HUBZones** | Census tracts designated as Historically Underutilized Business Zones | Variable | ### Output Schema All records share a normalized schema with `incentive_type` as the discriminator: | incentive_type | Key Fields | |---|---| | `opportunity_zone` | `geoid`, `state_abbr`, `state_name`, `tract_num`, `designation_date` | | `tif_district` | `tif_id`, `tif_name`, `municipality`, `state`, `county` | | `hubzone` | `geoid`, `state_name`, `county_name` | ### Input Parameters | Parameter | Type | Default | Description | |---|---|---|---| | `includeOpportunityZones` | boolean | `true` | Download HUD OZ designated tracts | | `includeTIFs` | boolean | `true` | Fetch TIF districts from supported cities | | `includeHUBZones` | boolean | `true` | Download SBA HUBZone tracts | | `tifCities` | string | `chicago` | Comma-separated TIF cities (currently: chicago) | | `stateFilter` | string | `""` | Two-letter state abbreviation filter | | `countyFilter` | string | `""` | County name filter | | `maxRecords` | integer | `0` | Max records (0 = unlimited) | ### Use Cases - **Site Selection**: Check if a property falls in an Opportunity Zone or TIF district - **Deal Underwriting**: Layer multiple incentive programs on a parcel for maximal subsidy stack - **Market Research**: Compare incentive availability across metros - **Economic Development**: Track where incentives are concentrated - **Compliance**: Verify OZ/HUBZone eligibility using official designation data ### Data Freshness - **Opportunity Zones**: Updated when HUD publishes changes (OZ 1.0 designations stable through 2027; OZ 2.0 expected 2026-2027) - **TIF Districts**: Pulled fresh from Chicago Open Data on each run - **HUBZones**: Updated when SBA publishes new designations ### Pricing Pay per result. OZ data alone is 8,765 records. See the pricing tab for current rates. ### Notes - All data comes from **public government sources** — no login required - OZ data is sourced from HUD's ArcGIS Open Data portal as GeoJSON - TIF data currently supports Chicago; more cities planned - County names not available in HUD OZ data (FIPS codes provided for cross-reference) ### Support For issues, feature requests, or to suggest additional incentive programs or cities, open an issue on the Actor's page. # Actor input Schema ## `includeOpportunityZones` (type: `boolean`): Download HUD Opportunity Zone designated census tracts (OZ 1.0, 8,764 tracts). ## `includeTIFs` (type: `boolean`): Fetch Tax Increment Financing districts from supported cities. ## `includeHUBZones` (type: `boolean`): Download SBA HUBZone designated census tracts. ## `tifCities` (type: `string`): Comma-separated list of cities to pull TIF data from (currently supports: chicago). ## `stateFilter` (type: `string`): Optional two-letter state abbreviation to filter results (e.g., 'IL', 'TX'). Leave empty for all states. ## `countyFilter` (type: `string`): Optional county name to filter results. Leave empty for all counties. ## `maxRecords` (type: `integer`): Maximum records to return (0 = no limit). Useful for testing. ## Actor input object example ```json { "includeOpportunityZones": true, "includeTIFs": true, "includeHUBZones": true, "tifCities": "chicago", "stateFilter": "", "countyFilter": "", "maxRecords": 0 } ```` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "tifCities": "chicago" }; // Run the Actor and wait for it to finish const run = await client.actor("tristana/tif-oz-incentives-finder").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "tifCities": "chicago" } # Run the Actor and wait for it to finish run = client.actor("tristana/tif-oz-incentives-finder").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "tifCities": "chicago" }' | apify call tristana/tif-oz-incentives-finder --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=tristana/tif-oz-incentives-finder", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "TIF & Opportunity Zones Incentives Aggregator", "description": "Aggregate Opportunity Zones, TIF districts, and HUBZones into one dataset. HUD OZ census tracts, Chicago TIF data, SBA HUBZones — for site selection & econ dev.", "version": "1.0", "x-build-id": "jgnUZHZUSeY4ubtj0" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/tristana~tif-oz-incentives-finder/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-tristana-tif-oz-incentives-finder", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/tristana~tif-oz-incentives-finder/runs": { "post": { "operationId": "runs-sync-tristana-tif-oz-incentives-finder", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/tristana~tif-oz-incentives-finder/run-sync": { "post": { "operationId": "run-sync-tristana-tif-oz-incentives-finder", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "includeOpportunityZones": { "title": "Include Opportunity Zones", "type": "boolean", "description": "Download HUD Opportunity Zone designated census tracts (OZ 1.0, 8,764 tracts).", "default": true }, "includeTIFs": { "title": "Include TIF Districts", "type": "boolean", "description": "Fetch Tax Increment Financing districts from supported cities.", "default": true }, "includeHUBZones": { "title": "Include HUBZones", "type": "boolean", "description": "Download SBA HUBZone designated census tracts.", "default": true }, "tifCities": { "title": "TIF cities", "type": "string", "description": "Comma-separated list of cities to pull TIF data from (currently supports: chicago).", "default": "chicago" }, "stateFilter": { "title": "State filter", "type": "string", "description": "Optional two-letter state abbreviation to filter results (e.g., 'IL', 'TX'). Leave empty for all states.", "default": "" }, "countyFilter": { "title": "County filter", "type": "string", "description": "Optional county name to filter results. Leave empty for all counties.", "default": "" }, "maxRecords": { "title": "Max records", "minimum": 0, "type": "integer", "description": "Maximum records to return (0 = no limit). Useful for testing.", "default": 0 } } }, "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 } } } } } } } } } } ```