US New Business Leads: New LLC & Company Filings by State

Get the companies newly filed in the United States, straight from official open data: six state registers (New York, Colorado, Connecticut, Texas, Oregon, Pennsylvania) and four city business-license registers (Chicago, Seattle, Los Angeles, San Francisco). For each new company you get its legal name, entity type, filing date, address, city, ZIP code, the activity (NAICS) when the source publishes it, and a link to the official record. Daily, by state, by city, by keyword, with a monitor and alerts.

Official data, no key, no login: the Actor reads the open-data APIs of the states and cities themselves (Socrata), never a reseller. It returns companies only, never the names of people.

🤖 At a glance (for people and AI assistants)

• Use it when you want new business leads in the US (new LLC filings, newly registered companies, new business licenses) from official registers, by state or city, with the filing date.
• Minimal input: { "daysBack": 7, "states": ["NY", "CO", "CT"], "maxItems": 100 }
• Output: one row per company: name, entityType (llc, corporation…), legalForm, registeredOn, address, city, postcode, stateCode, activity (NAICS, where published), area (county), sourceUrl; plus one free summary row per source.
• Price: $3 per 1,000 companies, plus $0.003 per run. The first 20 companies of every run and the summary rows are free.
• Not for: searching an existing company by name or EIN, finding emails or phone numbers, or states not listed (the Actor covers 6 states and 4 cities whose registers are open data).
• Look before you run: the free new US companies this week viewer lists a state's latest filings in your browser and writes this Actor's input. New companies per city over 30 days: new US companies by state and city.

✨ Why this Actor

🏛️ Official registers, not a reseller	New York Department of State, Colorado and Oregon Secretaries of State, Connecticut Secretary of the State, Texas Comptroller, Pennsylvania Department of State, and the business-license offices of Chicago, Seattle, Los Angeles and San Francisco. Every row links to the official open-data record.
🆕 Thousands every week	Filing dates 31 Oct – 6 Nov 2026: 4,598 new companies in New York, 3,194 in Colorado, 918 in Connecticut, 339 in Oregon, plus 284 new business licenses in the four cities. Texas adds about 18,900 a month, Pennsylvania 7,600.
📅 Exact filing dates	The official formation, charter or license date, not a crawl date: ask for last week, yesterday, or any window up to 400 days.
🔎 Filters that matter	States and cities, city or county, keywords in the name (and in the activity where published), entity type (LLC, corporation, nonprofit, partnership), excluded words (holdings, trust…).
🔔 Monitor + instant alerts	Give the search a monitor name and schedule it: each run returns only companies not delivered before, so you never pay twice for the same company. New companies can go to Telegram, Discord, Slack or a webhook (Make, Zapier, n8n, Google Sheets).
🧾 Clean, consistent fields	Ten different registers, one schema: street case fixed, ZIP codes, state codes, entity families, NAICS text where published, county for New York and Pennsylvania.
🔒 Companies only	No person's name is ever requested from the registers: no registered agents, organizers, officers or owners. Addresses are returned only when they are the company's own (see the FAQ).
⚡ Fast and cheap	1,500 companies from the ten sources in 7 seconds. $3 per 1,000.

🎯 Use cases

• New-business leads: banks, insurers, accountants, payroll and software vendors, web agencies, office and equipment suppliers reach companies in their first days.
• Local market watch: every new company in Denver, Brooklyn or Austin this week; every new restaurant or salon licensed in Chicago.
• Market research: how many companies are formed per state, county and city, what share are LLCs, which activities (where the register publishes NAICS codes).
• Data enrichment: a daily feed of new entities with official identifiers, to match against your CRM or your own register data.

🚀 Examples

New companies in New York, Colorado and Connecticut in the last 7 days:

{ "daysBack": 7, "states": ["NY", "CO", "CT"], "maxItems": 100 }

New LLCs in Denver and Brooklyn this month:

{ "dateFrom": "2026-11-01", "states": ["CO", "NY"], "locations": ["Denver", "Brooklyn"], "entityTypes": ["llc"] }

New dental, coffee and roofing businesses in Connecticut and Chicago (name or NAICS activity), without holdings:

{ "daysBack": 14, "states": ["CT", "CHI"], "keywords": ["dental", "coffee", "roofing"], "excludeKeywords": ["holdings"] }

Texas and Oregon, which publish with a delay: go back 30 days:

{ "daysBack": 30, "states": ["TX", "OR"], "maxItems": 500 }

Every weekday, only the companies not delivered before, with a Slack alert:

{ "daysBack": 3, "states": ["NY", "CO", "CT"], "monitorName": "new-companies-northeast", "slackWebhookUrl": "https://hooks.slack.com/services/..." }

📊 Data Report · 7 Nov 2026: one week of new companies in three states

Counted on 7 Nov 2026 in the official registers, filing dates 31 Oct – 6 Nov 2026 (seven days):

Register	New companies in 7 days	On 6 Nov alone	Share of LLCs	Where
New York	4,598	716	72 %	Kings County (Brooklyn) 700, Albany 588, New York County (Manhattan) 488, Queens 472, Nassau 427, Suffolk 324
Colorado	3,194	486	89 %	Denver 894, Colorado Springs 246, Aurora 195, Fort Collins 86
Connecticut	918	97	95 %	Bridgeport, Fairfield, Waterbury

• Albany, second county of New York, is not a start-up hub: it is where registered-agent services receive legal papers for companies based elsewhere. For those companies the register publishes the agent's address, not the company's, and this Actor returns no address rather than a wrong one (about 2 companies in 3 in New York).
• Texas published 18,918 new companies for 8 Oct – 6 Nov 2026 (Austin 2,957, Houston 2,560, Dallas 1,188), but only 32 for the last seven days: the Comptroller lists a company about ten days after its charter. Ask for 21 to 30 days to get Texas.
• Oregon (339 a week) updates its list weekly, Pennsylvania (7,604 a month) about monthly; the Actor says so in the log and in the summary row when your window is too recent for them.
• The four cities add new business licenses rather than formations: Chicago 103, Seattle 74, San Francisco 60, Los Angeles 47 in the same week.

📦 Output (a real company, Connecticut register, filed 7 Nov 2026; street number masked here)

{
  "type": "company",
  "companyNumber": "CT-3546983",
  "name": "Gaynor Digital LLC",
  "tradeName": null,
  "legalForm": "Limited liability company (LLC)",
  "entityType": "llc",
  "registeredOn": "2026-11-07",
  "activity": "Custom Computer Programming Services (NAICS 541511)",
  "address": "•• Daniels Farm Rd, Trumbull, CT 06611",
  "city": "Trumbull",
  "postcode": "06611",
  "area": null,
  "stateCode": "CT",
  "stateName": "Connecticut",
  "sourceCode": "CT",
  "sourceKind": "state_register",
  "source": "Connecticut register (Secretary of the State)",
  "sourceUrl": "https://data.ct.gov/resource/n7gp-d28j.json?accountnumber=3546983&$select=accountnumber,name,status,date_registration,business_type,naics_code,billingcity,billingstate",
  "changeType": null,
  "scrapedAt": "2026-11-07T17:18:05.519Z"
}

One free summary row per source closes the dataset:

{
  "type": "summary",
  "sourceCode": "CO",
  "source": "Colorado register (Secretary of State)",
  "from": "2026-10-31",
  "to": "2026-11-07",
  "companies": 162,
  "byEntityType": { "llc": 145, "corporation": 15, "nonprofit": 2 },
  "topCities": [{ "city": "Denver", "companies": 40 }, { "city": "Colorado Springs", "companies": 16 }, { "city": "Aurora", "companies": 12 }],
  "newestFilingDate": "2026-11-06",
  "oldestFilingDate": "2026-11-06",
  "publicationDelayNote": null
}

Fields: companyNumber (source code + official number, unique), name, tradeName (cities, when it is not a person's name), legalForm as published, entityType (llc, corporation, nonprofit, partnership, other), registeredOn, activity (NAICS text and code where published: Connecticut, Chicago, Seattle, Los Angeles, San Francisco), address, city, postcode, area (county, community area or neighbourhood), stateCode, stateName, sourceCode, sourceKind (state_register or city_licenses), source, sourceUrl, changeType (new with a monitor), scrapedAt. Export as JSON, CSV, Excel or XML.

💰 Pricing

Event	Price
New company	$3 / 1,000 companies
Run start	$0.003

The 486 companies formed in Colorado on 6 Nov 2026 cost $1.40 (the first 20 are free), plus $0.003 for the run. Summary rows are free, and a run of 20 companies or fewer costs only the $0.003 start fee: test any state or keyword for free. Set a maximum charge per run in the run options: the Actor stops cleanly when it is reached.

❓ FAQ

• Where does the data come from? From the open-data portals of the states and cities (Socrata APIs): New York data.ny.gov (Active Corporations), Colorado data.colorado.gov (Business Entities), Connecticut data.ct.gov (Business Registry), Texas data.texas.gov (Active Franchise Taxpayers, Comptroller), Oregon data.oregon.gov (Active Businesses), Pennsylvania data.pa.gov, Chicago, Seattle, Los Angeles and San Francisco business-license datasets. All are published by the governments themselves under open licences.
• Why these 6 states and 4 cities? They are the registers published as continuously updated open data. Most other states publish nothing machine-readable, or sell bulk files. New states are added when their register opens.
• How fresh is it? New York, Colorado and Connecticut: the day after filing. Texas: about ten days after the charter date. Oregon: weekly. Pennsylvania: about monthly. Cities: a few days. The Actor logs a note and fills publicationDelayNote when your date window is too recent for a source.
• Why do many New York companies have no address? The New York register publishes the address where the company receives legal papers, which is often a registered agent's office in Albany or Manhattan. The Actor compares the recipient's name with the company's name on the register's side and returns the address only when it is the company's own (about 1 in 3). Pennsylvania publishes organizers' addresses: only the city, ZIP and county are returned.
• Are names of people included? No. The Actor never requests the columns that carry people's names (registered agents, organizers, officers, owners), and trade names that look like a person's name are dropped. It returns companies: legal entities only, formed in the state (foreign registrations are excluded).
• Does it search an existing company by name or EIN? Not in this version: it lists what was filed in the dates you choose. keywords filters the names (and the activity where published) within that window.
• Does it give websites, emails or phones? No: the registers do not publish them. For new companies without a website, see No-Website Leads, which checks the web presence of these same companies.
• What is sourceKind? state_register rows are companies formed in the state; city_licenses rows are businesses that obtained a city license (Chicago, Seattle, Los Angeles, San Francisco): often shops and restaurants opening, which may be older companies opening a new location.

Data sources: New York State Department of State, Colorado Secretary of State, Connecticut Secretary of the State, Texas Comptroller of Public Accounts, Oregon Secretary of State, Pennsylvania Department of State, City of Chicago, City of Seattle, City of Los Angeles, City and County of San Francisco (open data). Not affiliated with any of them.

🔌 API, AI agents and integrations

• API: one call runs the Actor and returns the results, POST https://api.apify.com/v2/acts/euroscrape~us-new-companies/run-sync-get-dataset-items (see the API tab for Python, JavaScript and cURL).
• AI agents (MCP): add https://mcp.apify.com?tools=euroscrape/us-new-companies to Claude, Cursor, VS Code or any MCP client, and the Actor becomes a tool your agent can call.
• No-code automation: start runs and pass the results on with Apify's integrations for n8n, Make and Zapier, or with a webhook when a run ends.
• Exports: every result set downloads as JSON, CSV, Excel or XML, and can be sent to Google Sheets.
• Data Reports: twice a week, EuroScrape turns a run of one of its Actors into a 30-second data report on LinkedIn. Follow the page to see what the data looks like.

🗓️ Run it on a schedule: only new companies

1. Set your filters and give the search a monitor name:

{
  "daysBack": 3,
  "states": ["CO"],
  "locations": ["Denver"],
  "monitorName": "new-companies-denver",
  "webhookUrl": "https://hook.eu1.make.com/your-webhook-id"
}

2. In Apify Console, save it as a task and add a schedule to it (for example every weekday at 9:00).
3. The first run is the baseline: it returns the matching companies and remembers all of them. Every run after that returns only the companies not delivered before (changeType: "new"). With daysBack: 3, a missed day is caught up on the next run, and you pay only for what is new, plus the run start.

Straight into Google Sheets: put your Make, Zapier or n8n webhook address in webhookUrl. Each run sends one POST {"count": N, "items": [...]} with the new companies only (the baseline run sends nothing). Make: Custom webhook → Iterator on items → Google Sheets › Add a row.

Instant alerts: add telegramBotToken + telegramChatId, slackWebhookUrl or discordWebhookUrl to get one message per new company (up to maxNotifications per run, 30 by default). Messages carry the name, type, city and filing date, never the street address.

⭐ Your feedback

If this Actor saves you time, a short review on Apify Store helps other users find it. Missing a state, a field or a filter? Say it in your review: the most requested features are added first.

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• 📰 Data articles, daily data pages and real input/output examples for every Actor: euroscrape.com.

• 📰 Data articles, daily data pages and real input/output examples for every Actor: euroscrape.com.