# US Business Licenses Scraper: Names, Addresses & License Types (`scrapers_lat/usa-business-licenses-scraper`) Actor
Scrape US business licenses with legal and doing-business-as name, license number and type, full business address, ward and precinct, application type, status and issue and expiration dates. Filter by keyword, city, license type and status. Export to JSON, CSV or Excel.
- **URL**: https://apify.com/scrapers\_lat/usa-business-licenses-scraper.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** Business, Lead generation, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $17.00 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
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/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
## US Business Licenses Scraper: Names, Addresses & License Types
> Pull public US business-license records with the legal and trade name, license number and type, full business address, ward and precinct, application type, status and the key licensing dates. Filter by keyword, city, license type and status and export clean structured data for lead generation, KYB and market research.
**๐ฅ [Input](https://apify.com/scrapers_lat/usa-business-licenses-scraper/input-schema) ยท ๐ค [Output](https://apify.com/scrapers_lat/usa-business-licenses-scraper/output-schema) ยท ๐ฐ [Pricing](https://apify.com/scrapers_lat/usa-business-licenses-scraper/pricing) ยท โถ๏ธ [Examples](https://apify.com/scrapers_lat/usa-business-licenses-scraper/examples)**
Business names legal + doing-business-as
Full address street, city, state, ZIP
JSON / CSV / Excel output formats
### What you get
Each record is one business license, ready for a CRM, an outreach list or a spreadsheet:
- **legalName** and **doingBusinessAsName**: the registered owner and the trade name
- **licenseNumber**, **licenseCode**, **licenseDescription**: the license and its type
- **businessActivity**: what the business is licensed to do
- **applicationType**: issue, renewal and similar
- **licenseStatus** and **licenseStatusLabel**: active, cancelled or revoked
- **addressStreet**, **city**, **state**, **zipCode**: the full business address
- **ward**, **precinct**, **wardPrecinct**, **policeDistrict**: local geography
- **latitude**, **longitude**: coordinates when available
- **applicationCreatedDate**, **licenseStartDate**, **dateIssued**, **expirationDate**: the licensing timeline
- **accountNumber**, **siteNumber**, **licenseId**, **recordId**: identifiers for joins and dedup
- **observedAt**: when the record was collected
You are only charged for real license records. Empty runs cost nothing.
### Who is it for
| Use case | Who benefits |
|---|---|
| Lead generation | Agencies and vendors building lists of licensed local businesses |
| KYB and compliance | Teams verifying that a business holds an active license |
| Market research | Analysts mapping how many businesses operate by type and area |
| Territory planning | Sales teams sizing a market by ward, ZIP or license type |
### How to use it
1. Enter one or more **business names or keywords** (or leave empty to pull the newest licenses).
2. Optionally narrow by **cities**, **license types** and **status**.
3. Set **Max Licenses To Scrape** and run. Export as JSON, CSV or Excel, or pull it through the Apify API.
### Frequently Asked Questions
**Can I search by trade instead of a company name?**
Yes. A keyword like `coffee`, `tavern` or `tobacco` matches license records across names and activity, so you can build a list of one kind of business.
**Can I get only active licenses?**
Yes. Set the status filter to active to keep only issued and active licenses, or choose cancelled or revoked.
**Can I limit results to a city or license type?**
Yes. Add one or more cities and one or more license types; the run keeps only records that match.
**Am I charged for empty runs?**
No. You are only charged per real license record returned. A run that matches nothing costs nothing.
### Related scrapers
- [Los Angeles Active Businesses Scraper](https://apify.com/scrapers_lat/la-business-registrations-scraper)
- [San Francisco Registered Businesses Scraper](https://apify.com/scrapers_lat/sf-business-registrations-scraper)
- [Google Maps Business Leads & Contacts Scraper](https://apify.com/scrapers_lat/google-maps-scraper)
### More scrapers at scrapers.lat
This actor is built and maintained by [scrapers.lat](https://scrapers.lat), where we publish scrapers for public platforms: finance, news, real estate, jobs, e-commerce and government data. Browse the full catalog or ask us for a custom scraper at [scrapers.lat](https://scrapers.lat).
---
> This actor is an independent tool that only accesses publicly available government records. Use the results in accordance with the source's terms and applicable law.
# Actor input Schema
## `searchQueries` (type: `array`):
One or more business names or keywords to search across license records (for example a company name, a brand, or a trade like 'coffee' or 'tobacco'). One search runs per entry. Leave empty to pull the newest licenses matching the filters below.
## `cities` (type: `array`):
Optional. Keep only licenses whose business address city matches one of these (for example 'CHICAGO', 'EVANSTON'). Case-insensitive.
## `licenseTypes` (type: `array`):
Optional. Keep only licenses whose type / description contains one of these terms (for example 'Retail Food Establishment', 'Tavern', 'Tobacco', 'Home Repair').
## `status` (type: `string`):
Which licenses to return by status.
## `maxLicenses` (type: `integer`):
Maximum number of license records to collect across the whole run.
## Actor input object example
```json
{
"searchQueries": [
"coffee"
],
"status": "any",
"maxLicenses": 50
}
````
# 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 = {
"searchQueries": [
"coffee"
],
"maxLicenses": 50
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/usa-business-licenses-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`๐พ 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);
});
// ๐ Want to learn more ๐? Go to โ 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 = {
"searchQueries": ["coffee"],
"maxLicenses": 50,
}
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/usa-business-licenses-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("๐พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# ๐ Want to learn more ๐? Go to โ https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"searchQueries": [
"coffee"
],
"maxLicenses": 50
}' |
apify call scrapers_lat/usa-business-licenses-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapers_lat/usa-business-licenses-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "US Business Licenses Scraper: Names, Addresses & License Types",
"description": "Scrape US business licenses with legal and doing-business-as name, license number and type, full business address, ward and precinct, application type, status and issue and expiration dates. Filter by keyword, city, license type and status. Export to JSON, CSV or Excel.",
"version": "0.1",
"x-build-id": "QHAZsi6zwEIErQyLF"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrapers_lat~usa-business-licenses-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrapers_lat-usa-business-licenses-scraper",
"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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrapers_lat~usa-business-licenses-scraper/runs": {
"post": {
"operationId": "runs-sync-scrapers_lat-usa-business-licenses-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrapers_lat~usa-business-licenses-scraper/run-sync": {
"post": {
"operationId": "run-sync-scrapers_lat-usa-business-licenses-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"searchQueries": {
"title": "Business name or keyword",
"type": "array",
"description": "One or more business names or keywords to search across license records (for example a company name, a brand, or a trade like 'coffee' or 'tobacco'). One search runs per entry. Leave empty to pull the newest licenses matching the filters below.",
"items": {
"type": "string"
}
},
"cities": {
"title": "Cities",
"type": "array",
"description": "Optional. Keep only licenses whose business address city matches one of these (for example 'CHICAGO', 'EVANSTON'). Case-insensitive.",
"items": {
"type": "string"
}
},
"licenseTypes": {
"title": "License types",
"type": "array",
"description": "Optional. Keep only licenses whose type / description contains one of these terms (for example 'Retail Food Establishment', 'Tavern', 'Tobacco', 'Home Repair').",
"items": {
"type": "string"
}
},
"status": {
"title": "License status",
"enum": [
"any",
"active",
"cancelled",
"revoked"
],
"type": "string",
"description": "Which licenses to return by status.",
"default": "any"
},
"maxLicenses": {
"title": "Max Licenses To Scrape",
"minimum": 1,
"maximum": 1000000,
"type": "integer",
"description": "Maximum number of license records to collect across the whole run."
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```