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Funded-Startup Leads — SEC Form D Feed to Notion & CRM

Turn new SEC Form D filings into a deduplicated lead feed that lands in your own Notion or Supabase — no copy-paste. Run a multi-keyword sweep (AI, biotech, fintech…) across recent EDGAR Form D filings and get each freshly funded issuer with offering amount, named executives, industry, and state. Cross-run deduplication means a daily schedule only ever pushes NEW raises, and optional MCP connectors write each lead straight into your CRM or database — the actor never sees your credentials. The deal-sourcing and B2B-sales member of the NexGenData Form D family: a pipeline, not a one-off scrape.

Optional delivery: send results straight to your own Notion database or Supabase table in the same run, via Apify's native MCP connectors — the actor never sees your credentials. One-click connect: Notion or Supabase. Leave both blank to get the dataset as usual.

Why this is a pipeline, not just a scraper

• Multi-keyword sweep — keywords is an array; every term is searched across recent EDGAR Form D filings.
• Cross-run dedup — a named key-value store remembers what you've already seen, so a scheduled run pushes only genuinely new raises.
• Delivery to your own stack — optional Notion and Supabase MCP connectors write each lead into your CRM/database; credentials stay with you.
• Built for schedules — point it at a vertical, run it daily, and let new funded companies flow in.

Use Cases

• VC / PE deal sourcing — a daily multi-keyword sweep, deduped into a shared Notion board.
• SDR / B2B sales — prospect issuers the day they file and auto-insert them into Supabase.
• Competitive intel — track a vertical on a cadence to a shared workspace.
• Recruiting — freshly funded companies are about to hire.
• Newsletter / data product — a scheduled, deduplicated feed you can build on.

Sample Input

{
"keywords":["AI","biotech"],
"industries":["Technology"],
"lookback_days":14,
"min_offering":1000000,
"max_results":25,
"deliveryDedup":true
}

Sample Output

Numeric fields are returned as strings (straight from the filing XML) — cast them in your ETL.

{
"issuer":"Northwind AI, Inc.",
"total_offering_amount":"30000000",
"total_amount_sold":"18500000",
"minimum_investment":"100000",
"industry":"Technology",
"state":"DE",
"date_of_first_sale":"2026-05-01",
"investors_count":"9",
"related_persons":[
{"name":"John Doe","roles":["Director","Executive Officer"]}
],
"cik":"2012345",
"accession":"0001234567-26-000456",
"filing_date":"2026-05-12",
"filing_url":"https://www.sec.gov/cgi-bin/browse-edgar?action=getcompany&CIK=2012345&type=D",
"source":"SEC EDGAR Form D",
"detected_at":"2026-05-13T08:00:00Z"
}

FAQ

Can it auto-generate funded-startup leads? Yes — set your keywords, put it on a schedule, and it pushes only new filings each run.

Will a daily schedule give me duplicates? No — cross-run dedup (deliveryDedup) tracks what you've already received across runs.

Can it write to my CRM? Yes — connect a Notion or Supabase MCP connector and each lead is written there. The actor never sees your credentials.

Can I sweep multiple sectors at once? Yes — keywords is an array; each term is searched separately.

Is it real-time? It runs on demand or on a schedule against the live EDGAR Form D index.

Related actors

• SEC Form D Scraper — 30+ fields, bulk private placement export
• SEC Form D Tracker — filter Reg D raises by size & industry
• SEC Reg A / A+ Offerings Tracker — 1-A, 1-K & D/A
• SEC IPO Prospectus Filing Tracker — S-1, F-1 & 424B
• Browse all NexGenData actors