US Business Entity Filings — New LLC & Corp Registrations Daily

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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

Output Schema (14 fields)

Apify Input

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

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 --start2025-01-01 --end2025-01-31
# Test individual scrapers
python src/socrata_scraper.py --state NY --start2025-01-01 --end2025-01-02 --max5
python src/colorado_scraper.py --start2025-01-01 --end2025-01-02 --max10
python src/florida_scraper.py --start2025-01-01 --end2025-01-02 --max10

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 ...