US Business Entity Filings — New LLC & Corp Registrations Daily

Get fresh business filings (LLC, Corp, LP, LLP, etc.) from US Secretary of State portals the moment they're registered — ideal for sales prospecting, KYC, compliance monitoring, and competitive intelligence.

Why this actor? Every new business is a warm lead. Solar installers, insurance agents, accountants, lawyers, and SaaS companies all use new LLC registrations to find prospects before the competition does. Filter by filing date to pull only today's new registrations.

Coverage today: NY, FL, CO, CT (4 states, ~4,000+ new entities/day). All 50 states in progress.

Phase 1 States

State	Source	Platform	Notes
NY	data.ny.gov	Socrata SODA	Daily filing data
CT	data.ct.gov	Socrata SODA	Business registry
CO	sos.state.co.us	HTML form scrape	Date-filter POST
FL	dos.fl.gov/sunbiz	JSON API	sunbiz.org

Output Schema (14 fields)

Field	Description
entity_name	Business name
entity_type	LLC, Corporation, LP, LLP, etc.
state	2-letter state code
state_entity_id	State's internal ID/entity number
filing_date	YYYY-MM-DD formation/filing date
status	Active, Inactive, Dissolved, etc.
registered_agent	Registered agent name
principal_address	Principal business address
agent_address	Registered agent address
owners	Comma-separated officer/member names
county	County if available
source_platform	socrata / portal_scrape / fl_sunbiz
source_url	Portal URL
scraped_at	ISO UTC timestamp

Apify Input

{
  "states":          ["NY", "FL"],
  "startDate":       "2025-01-01",
  "endDate":         "2025-01-31",
  "maxResults":      10000,
  "socrataAppToken": "optional-token"
}

Field	Type	Default	Description
states	array	all	2-letter state codes to scrape
startDate	string	yesterday	YYYY-MM-DD start date
endDate	string	yesterday	YYYY-MM-DD end date
maxResults	integer	10000	Max records per state
socrataAppToken	string	—	Socrata app token (boosts rate limits for NY/CT)

Local Development

# Install deps
pip install -r requirements.txt

# Run all configured states (yesterday's filings)
python src/main.py

# Run specific states
python src/main.py --states NY CT --start 2025-01-01 --end 2025-01-31

# Test individual scrapers
python src/socrata_scraper.py --state NY --start 2025-01-01 --end 2025-01-02 --max 5
python src/colorado_scraper.py --start 2025-01-01 --end 2025-01-02 --max 10
python src/florida_scraper.py --start 2025-01-01 --end 2025-01-02 --max 10

File Structure

biz-filings/
├── .actor/
│   ├── actor.json          Apify actor metadata + dataset schema
│   └── input_schema.json   Apify UI input form
├── src/
│   ├── main.py             Async Apify entry point
│   ├── router.py           STATE_REGISTRY + scraper dispatch
│   ├── normalize.py        Raw → 14-field normalized schema
│   ├── socrata_scraper.py  NY + CT (Socrata SODA API)
│   ├── colorado_scraper.py CO (HTML form POST + table parse)
│   └── florida_scraper.py  FL (sunbiz.org JSON API)
├── Dockerfile              apify/actor-python:3.11 base
├── requirements.txt        httpx, beautifulsoup4, apify
└── README.md

Architecture

main.py
  └─ router.py (STATE_REGISTRY dispatch)
       ├─ socrata_scraper.py  → NY, CT
       ├─ colorado_scraper.py → CO
       └─ florida_scraper.py  → FL
             │
             ▼ raw dicts
  normalize.py → 14-field standard record
             │
             ▼
  Apify dataset / output/XX_filings.json

Rate Limiting

• Between pages: 0.5s delay
• Between states: 2.0s delay
• Colorado detail pages: 0.3s delay per entity (fetch_details=True)

Adding New States (Phase 2)

1. Add entry to STATE_REGISTRY in router.py
2. Add a fetch_filings() function in a new <state>_scraper.py
3. Add field aliases to normalize.py's pick() chains
4. Test with python src/<state>_scraper.py --start ... --end ...