Build Off-Market Lead Engine: State Registries + DOT Fleet Proxy + Mobile Skip-Trace

Data Automation / Web Scraping / Python or Make.com / API Integration Job Description: I need a clean, lightweight automation script or workflow built to extract direct off-market business owner cell phone numbers for M&A sourcing in the US Tree Care / Arborist Services industry. We target established, regional tree care businesses doing $5M+ in annual revenue. I want the ability to run this either Nationwide or on a State-by-State basis (e.g., Florida, Tennessee, Texas). Why Government Primary Sources? Standard B2B databases (ZoomInfo, Apollo, Sales Nav) miss these $5M+ owners completely. They operate offline, managing 10+ crews from their personal cell phone without LinkedIn profiles or corporate emails. The Revenue Proxy (DOT Fleet Size): Private companies do not publish revenue. The pipeline must cross-reference public government records to verify that a business has 10+ registered commercial vehicles/power units (chipper trucks, bucket trucks, heavy haulers) to guarantee $5M+ scale before skip-tracing. Required Pipeline Workflow: Step 1: User Control / Inputs Ability to input target location (Nationwide or Specific State) and trade keyword (Tree Care / Arborist / Tree Service). Step 2: Primary Government Registry Scraping Query official Secretary of State (SOS) registries (via Cobalt Intelligence API, Middesk API, or direct state scrapers) for active LLCs/Corporations in the selected region. Extract the Managing Member / Registered Agent’s legal full name and registered physical address from annual report filings. Step 3: DOT Fleet Proxy Filter (The Scale Filter) Cross-reference the company name/address with the US DOT / FMCSA public database. Filter Logic: Only keep companies with 10+ registered commercial power units/trucks (proving $5M+ operational scale). Step 4: Direct Mobile Skip-Trace Pass the filtered owner's legal name and registered address into a skip-tracing API (e.g., BatchData API, Tracers API, or similar). Extract their direct personal mobile cell phone number (bypassing front-desk landlines). Step 5: Clean Output Output a clean file or sync directly to Airtable: [Company Legal Name | Owner Legal Name | Direct Mobile Number | Fleet Count | Registered Address | State] Deliverables: A working, clean script or Make.com scenario that I can run on demand. Integration using my own pay-as-you-go API keys (BatchData, SOS/Scraper API, Make.com). A live test export of 15 verified owner cell numbers matching our 10+ DOT truck criteria to prove the system works. Budget: $250 (Fixed Price — Released upon working deliverable handoff and verified test batch)