# New Business Registration Leads: Fresh LLC & Corp Filings (`scrapemint/new-business-registration-leads`) Actor Fresh LLC and corporation registrations from official state records (CO, CT, NY), updated daily: name, address, entity type, agent, plus email and NAICS where published. Filter by state, keyword, city. Leads for anyone selling to brand new businesses. - **URL**: https://apify.com/scrapemint/new-business-registration-leads.md - **Developed by:** [Ken M](https://apify.com/scrapemint) (community) - **Categories:** Lead generation, Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## New Business Registration Leads: Fresh LLC & Corp Filings Businesses buy the most services in their first weeks: banking, insurance, payroll, bookkeeping, websites, marketing, phone systems, office fitouts. This actor gives you those businesses the day after they file, straight from official state registries. No login, no API key, no subscription. Lead list services sell the same public data for $50 to $200 a month. Here you pay per row and the first rows of every run are free. ### What you get One row per newly registered business entity, normalized across states: | Field | Description | |---|---| | `state` | Registry state: `CO`, `CT`, or `NY` | | `businessName` | Legal entity name as filed | | `entityType` | LLC, corporation, LP etc. (state's own coding) | | `registrationKind` | `formation` (brand new entity) or `foreign_registration` (out-of-state company expanding in) | | `registrationDate` | Filing date (YYYY-MM-DD) | | `status` | Entity status where published (e.g. Good Standing) | | `street`, `city`, `regionState`, `zip` | Filed business address (NY publishes the service-of-process address; `county` is the best NY locator) | | `county` | County of principal office (NY) | | `email` | Business email address where the state publishes it (Connecticut does) | | `naicsCode` | Industry NAICS code where filed (Connecticut) | | `womanOwned`, `veteranOwned`, `minorityOwned` | Ownership flags where filed (Connecticut) | | `agentName`, `agentStreet`, `agentCity`, `agentState`, `agentZip` | Registered agent / filer and address | | `sourceId`, `sourceDataset` | State record id and the official dataset it came from | ### Sources All data comes from official state open-data feeds, updated daily: - **Colorado**: Business Entities, Colorado Secretary of State (data.colorado.gov) - **Connecticut**: Business Registry Master, Connecticut Secretary of the State (data.ct.gov) - **New York**: Daily Corporation and Other Entity Filing Data, NY Department of State (data.ny.gov). Formation filings only: articles of organization, certificates of incorporation, limited partnerships, and applications of authority. Roughly 8,000 to 9,000 new entities per week across the three states. More states are added over time; tell us in Issues which state you need next. ### Input - **States**: any of CO, CT, NY (default: all three) - **Business name keywords**: e.g. `roofing`, `dental`, `consulting`, `cafe` (optional) - **Cities**: limit to specific cities (optional) - **Lookback days**: registrations from the last N days (default 7, max 30) - **Max rows per run**: cost cap, newest first (default 100) - **Skip businesses seen in previous runs**: turn on with a schedule for a daily feed of only new prospects ### Pricing Pay per result: **$0.01 per lead row**. The first 2 rows of every run are free so you can check the data before spending anything. A daily scheduled run capped at 100 rows costs at most $1.00. No subscription, no minimum. ### Typical uses - **Agencies and web designers**: new LLCs with no website yet are the warmest possible outreach list. Pair with the [Website Contact Scraper](https://apify.com/scrapemint/website-contact-scraper) or [Newly Registered Domain Leads](https://apify.com/scrapemint/newly-registered-domain-leads). - **Insurance, banking, payroll, bookkeeping**: every new entity needs all four within weeks. - **B2B suppliers**: filter by name keywords to catch new businesses in your niche (e.g. `logistics`, `salon`, `hvac`). - **Market research**: formation velocity by city, county, or industry (Connecticut rows carry NAICS codes). ### Scheduling Run it daily with `dedupe` on and yesterday's filings land in your dataset every morning. Use the Apify API, webhooks, or a Google Sheets integration to push rows wherever your outreach runs. ### Data notes Everything returned is public record published by the states themselves. Registration data reflects what was filed; addresses can be registered-agent addresses rather than operating locations, especially in New York. Use responsibly and follow applicable outreach laws (CAN-SPAM, TCPA) when contacting leads. # Actor input Schema ## `states` (type: `array`): Which state registries to pull from. Supported: CO (Colorado), CT (Connecticut), NY (New York). ## `keywords` (type: `array`): Only return businesses whose name contains one of these words, e.g. dental, roofing, consulting, cafe. Empty = all new registrations. ## `cities` (type: `array`): Only return businesses registered in these cities (exact match on the filed city). Empty = statewide. ## `daysBack` (type: `integer`): Return registrations filed in the last N days. State feeds update daily. ## `maxRows` (type: `integer`): Cap on lead rows returned, newest first. Controls total cost. ## `dedupe` (type: `boolean`): Remember returned businesses across runs and skip them. Turn on for a scheduled daily new-business feed. ## Actor input object example ```json { "states": [ "CO", "CT", "NY" ], "keywords": [], "cities": [], "daysBack": 7, "maxRows": 100, "dedupe": false } ```` # 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 = { "states": [ "CO", "CT", "NY" ] }; // Run the Actor and wait for it to finish const run = await client.actor("scrapemint/new-business-registration-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 = { "states": [ "CO", "CT", "NY", ] } # Run the Actor and wait for it to finish run = client.actor("scrapemint/new-business-registration-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 '{ "states": [ "CO", "CT", "NY" ] }' | apify call scrapemint/new-business-registration-leads --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapemint/new-business-registration-leads", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "New Business Registration Leads: Fresh LLC & Corp Filings", "description": "Fresh LLC and corporation registrations from official state records (CO, CT, NY), updated daily: name, address, entity type, agent, plus email and NAICS where published. Filter by state, keyword, city. Leads for anyone selling to brand new businesses.", "version": "0.1", "x-build-id": "MEFJiZ7JXU0YjWxsW" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapemint~new-business-registration-leads/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapemint-new-business-registration-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapemint~new-business-registration-leads/runs": { "post": { "operationId": "runs-sync-scrapemint-new-business-registration-leads", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapemint~new-business-registration-leads/run-sync": { "post": { "operationId": "run-sync-scrapemint-new-business-registration-leads", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "states": { "title": "States", "type": "array", "description": "Which state registries to pull from. Supported: CO (Colorado), CT (Connecticut), NY (New York).", "items": { "type": "string", "enum": [ "CO", "CT", "NY" ], "enumTitles": [ "Colorado", "Connecticut", "New York" ] }, "default": [ "CO", "CT", "NY" ] }, "keywords": { "title": "Business name keywords (optional)", "type": "array", "description": "Only return businesses whose name contains one of these words, e.g. dental, roofing, consulting, cafe. Empty = all new registrations.", "default": [], "items": { "type": "string" } }, "cities": { "title": "Cities (optional)", "type": "array", "description": "Only return businesses registered in these cities (exact match on the filed city). Empty = statewide.", "default": [], "items": { "type": "string" } }, "daysBack": { "title": "Lookback days", "minimum": 1, "maximum": 30, "type": "integer", "description": "Return registrations filed in the last N days. State feeds update daily.", "default": 7 }, "maxRows": { "title": "Max rows per run", "minimum": 1, "maximum": 2000, "type": "integer", "description": "Cap on lead rows returned, newest first. Controls total cost.", "default": 100 }, "dedupe": { "title": "Skip businesses seen in previous runs", "type": "boolean", "description": "Remember returned businesses across runs and skip them. Turn on for a scheduled daily new-business feed.", "default": false } } }, "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 } } } } } } } } } } ```