# City Business License Leads — New Business Lead Feed API (`malonestar/city-business-license-leads`) Actor New business-license lead feed across major US cities (Chicago, LA, SF, NYC, Seattle). Normalizes newly issued licenses into one schema with a new-since-date delta, NAICS/industry tags, and address + phone for lead gen. Keyless open data, no anti-bot. - **URL**: https://apify.com/malonestar/city-business-license-leads.md - **Developed by:** [Kyle Maloney](https://apify.com/malonestar) (community) - **Categories:** Lead generation, Developer tools, Agents - **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $6.00 / 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 a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.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/platform/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 ## City Business License Leads — New Business Lead Feed (API) A **multi-city new business-license lead feed**. This actor normalizes **newly issued business licenses** across major US cities into **one clean schema** with a **"new since date" delta**, **NAICS / industry tags**, and **address + phone** fields — purpose-built for local-services lead generation. Sourced from official municipal **open-data portals** (Socrata). **Keyless, no anti-bot, no scraping.** ### Who it's for - **Local-services lead gen** — insurance, POS/merchant services, payroll, business banking, and B2B SaaS that sell to **brand-new businesses**. - **Sales & RevOps** teams building a fresh-leads pipeline of just-licensed companies. - **Data / list providers** enriching company records with city, NAICS, and address. - **AI agents** needing a "find newly licensed businesses in a city" tool. ### What it does Pulls the latest business licenses from each selected city, filters to the ones **issued after your `since` date**, and returns a normalized record per license. Run it on a schedule (e.g. daily with `since` = yesterday) and it becomes a **recurring new-business alert** you can route straight into your CRM. ### Live cities | City | Source dataset | Extras | |------|----------------|--------| | Chicago | Business Licenses (`r5kz-chrr`) | ward, geo, expiration | | Los Angeles | Listing of Active Businesses (`6rrh-rzua`) | **NAICS**, council district, geo | | San Francisco | Registered Business Locations (`g8m3-pdis`) | geo, DBA | | New York City | Legally Operating Businesses / DCWP (`w7w3-xahh`) | **phone**, borough, geo, expiration | | Seattle | Active Business License Tax Certificate (`wnbq-64tb`) | **NAICS**, **phone** | **Coming soon (scaffolded):** San Diego, Boston, Austin, Kansas City, Baton Rouge. ### Example input ```json { "cities": ["chicago", "new-york", "seattle"], "since": "2026-07-01", "naics": "72", "maxResults": 1000 } ```` ### Output (per license) `city`, `business_name`, `dba`, `license_type`, `license_description`, `naics`, `issue_date`, `start_date`, `expiration_date`, `address`, `city_name`, `state`, `zip`, `ward_or_district`, `latitude`, `longitude`, `phone`, `record_id`, `source_url`, `retrieved_at`. Dates are normalized to `YYYY-MM-DD`. ### Use as an MCP tool Exposed to AI agents via `mcp.apify.com` as a "new business license lookup" tool. Clean inputs (cities, since date, name, license type, NAICS) and a fully described, chainable output schema make it easy for an agent to pull fresh business leads. ### FAQ **How do I get only brand-new businesses?** Set `since` to a recent date and run on a schedule — you get only licenses issued after it. **Which cities have NAICS?** Los Angeles and Seattle. **Which have a phone number?** New York City and Seattle. **Can I filter by industry?** Yes — use the `naics` prefix (e.g. `72`) or a `licenseType` fragment (e.g. `restaurant`). **Any captchas or logins?** No — this is official city open data, queried by API. **Can I search a specific company?** Yes — use the `name` filter. ### Source Official municipal **open-data portals** (Socrata) for each city. Canonical `data..gov` hosts. An optional `socrataAppToken` raises rate limits. ### Pricing (Pay Per Result) Billed per license record returned. Empty result sets cost nothing. # Actor input Schema ## `cities` (type: `array`): City slugs to pull newly issued business licenses from. Live: chicago, los-angeles, san-francisco, new-york, seattle. More cities added over time. Leave empty to query all live cities. ## `since` (type: `string`): Only return licenses issued/started after this date, per each city's issue-date column. Use on a schedule to get a fresh new-business lead feed. Leave empty for the most recent records overall. ## `name` (type: `string`): Optional. Case-insensitive fragment matched against each city's business-name column (e.g. 'salon', 'LLC', a specific company). ## `licenseType` (type: `string`): Optional. Case-insensitive fragment matched against the per-city license-type column (e.g. 'restaurant', 'pawnbroker', 'peddler'). Skipped for cities that do not expose a type column. ## `naics` (type: `string`): Optional. NAICS code prefix to filter by industry (e.g. '72' = accommodation & food services, '5419' = professional services). Applied only in cities that expose NAICS (Los Angeles, Seattle). ## `maxResults` (type: `integer`): Maximum number of license records to return per city (the actor paginates to reach this). ## `socrataAppToken` (type: `string`): Optional free Socrata app token to raise API rate limits for large pulls across many cities. ## Actor input object example ```json { "cities": [ "chicago" ], "maxResults": 50 } ``` # Actor output Schema ## `results` (type: `string`): Normalized newly issued business-license records across US cities, in the default dataset. # 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 = { "cities": [ "chicago" ], "maxResults": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("malonestar/city-business-license-leads").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 = { "cities": ["chicago"], "maxResults": 50, } # Run the Actor and wait for it to finish run = client.actor("malonestar/city-business-license-leads").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 '{ "cities": [ "chicago" ], "maxResults": 50 }' | apify call malonestar/city-business-license-leads --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=malonestar/city-business-license-leads", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "City Business License Leads — New Business Lead Feed API", "description": "New business-license lead feed across major US cities (Chicago, LA, SF, NYC, Seattle). Normalizes newly issued licenses into one schema with a new-since-date delta, NAICS/industry tags, and address + phone for lead gen. Keyless open data, no anti-bot.", "version": "1.0", "x-build-id": "e65ygM8SWA3OnrNfd" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/malonestar~city-business-license-leads/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-malonestar-city-business-license-leads", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/malonestar~city-business-license-leads/runs": { "post": { "operationId": "runs-sync-malonestar-city-business-license-leads", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/malonestar~city-business-license-leads/run-sync": { "post": { "operationId": "run-sync-malonestar-city-business-license-leads", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "cities": { "title": "Cities", "type": "array", "description": "City slugs to pull newly issued business licenses from. Live: chicago, los-angeles, san-francisco, new-york, seattle. More cities added over time. Leave empty to query all live cities.", "default": [ "chicago", "los-angeles", "san-francisco", "new-york", "seattle" ], "items": { "type": "string" } }, "since": { "title": "New since date (YYYY-MM-DD)", "type": "string", "description": "Only return licenses issued/started after this date, per each city's issue-date column. Use on a schedule to get a fresh new-business lead feed. Leave empty for the most recent records overall." }, "name": { "title": "Business name contains", "type": "string", "description": "Optional. Case-insensitive fragment matched against each city's business-name column (e.g. 'salon', 'LLC', a specific company)." }, "licenseType": { "title": "License type / category contains", "type": "string", "description": "Optional. Case-insensitive fragment matched against the per-city license-type column (e.g. 'restaurant', 'pawnbroker', 'peddler'). Skipped for cities that do not expose a type column." }, "naics": { "title": "NAICS code prefix", "type": "string", "description": "Optional. NAICS code prefix to filter by industry (e.g. '72' = accommodation & food services, '5419' = professional services). Applied only in cities that expose NAICS (Los Angeles, Seattle)." }, "maxResults": { "title": "Max results per city", "minimum": 1, "maximum": 50000, "type": "integer", "description": "Maximum number of license records to return per city (the actor paginates to reach this).", "default": 1000 }, "socrataAppToken": { "title": "Socrata app token (optional)", "type": "string", "description": "Optional free Socrata app token to raise API rate limits for large pulls across many cities." } } }, "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 } } } } } } } } } } ```