SEC Form D Scraper — Startup Funding Leads & Investor Data avatar

SEC Form D Scraper — Startup Funding Leads & Investor Data

Under maintenance

Pricing

from $8.00 / 1,000 leads

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SEC Form D Scraper — Startup Funding Leads & Investor Data

SEC Form D Scraper — Startup Funding Leads & Investor Data

Under maintenance

Scrape newly-funded startups from SEC Form D filings — company name, amount raised, industry, executive names, address, and filing date. Fresh B2B funding leads and investor data before Crunchbase or PitchBook. CRM-ready CSV / JSON / Excel. No login, pay per result. Find VC-backed founders directly.

Pricing

from $8.00 / 1,000 leads

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0.0

(0)

Developer

GoCreative AI

GoCreative AI

Maintained by Community

Actor stats

0

Bookmarked

11

Total users

7

Monthly active users

10 days ago

Last modified

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📊 Example output (real run)

Sample output

Fresh, newly-funded startup leads straight from SEC EDGAR — company, raise amount, industry, and named executives with contact details. A Crunchbase / PitchBook alternative that costs pennies per lead and updates the moment a filing hits EDGAR.

When a private company raises money in the US, it files a Form D with the SEC — usually within 15 days of the first sale. That filing is public, structured, and free at the source. This actor turns the raw EDGAR feed into a clean, sales-ready lead list so you can reach founders while the round is still fresh — before the company shows up in a $500/mo database.


Why this beats a static database

This actorCrunchbase Pro / PitchBook
FreshnessNew filings within days of the raiseOften weeks/months behind
CostPay per run, pennies per lead$500–2,000+/mo per seat
Source of truthThe company's own SEC filingAggregated, sometimes stale
Named executives✅ Pulled from the filingPartial / paywalled
Raise amount✅ Exact total_amount_sold✅ (behind paywall)

If you sell to recently funded companies — banks, fintech, SaaS, recruiting, PR, legal, real estate, insurance — freshly raised capital is the single strongest buying signal there is. This is that signal, at the source.


What you get (real output fields)

Every lead row includes:

  • company_name / company_name_official
  • total_offering_amount and total_amount_sold (the actual raise)
  • industry, sic_description, revenue_range
  • executives — named individuals from the filing
  • cik, accession_number, sec_filing_url (verify any lead in one click)
  • business_street, business_city, business_state, business_zip
  • phone, website, state_of_incorporation, filing_date

Example row (real output)

{
"company_name": "BKV dCarbon Project, LLC",
"filing_date": "2025-05-23",
"cik": 2070175,
"total_amount_sold": 47964220,
"industry": "Oil and Gas",
"executives": "Christopher Kalnin; Lindsay Larrick; Eric Jacobsen; Karlis Povisils; Ahmed Elsherbiny",
"business_city": "WILMINGTON",
"business_state": "DE",
"phone": "302-636-5401",
"accession_number": "0002070175-25-000001",
"sec_filing_url": "https://www.sec.gov/cgi-bin/browse-edgar?action=getcompany&CIK=2070175&type=D&dateb=&owner=include&count=5"
}

Use cases

  • Outbound sales — reach founders right after they raise, when budgets open up.
  • VC / investor deal sourcing — spot new raises the day they file.
  • Recruiting — funded companies hire; get ahead of the job posts.
  • Service providers (legal, accounting, PR, insurance, banking) — new capital means new vendor needs.
  • Market research — track funding velocity by industry and geography.

How to use it

  1. Run the actor (schedule it daily to catch every new filing).
  2. Export results as JSON, CSV, or Excel, or pull via the Apify API/dataset.
  3. Push straight into your CRM, Clay, Instantly, or outreach tool.

Tip: schedule a daily run and diff against yesterday's dataset to get a net-new funded companies feed every morning.


Notes on data quality

  • Data comes directly from SEC EDGAR — the authoritative, public source.
  • Every row carries the sec_filing_url so you can verify the lead yourself.
  • Fields the filer left blank (e.g. website, total_offering_amount) are returned as empty/null rather than guessed — no fabricated data.

Pair this with our people-enrichment and sanctions/KYB screening actors to enrich the named executives and pre-clear each company before outreach.