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Startup Funding Tracker: SEC Form D

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Startup Funding Tracker: SEC Form D

Startup Funding Tracker: SEC Form D

Track who just raised money: SEC Form D filings with amount sold, investors, industry, executives, phone and website when found. Sort by raise size, issuer search, weekly funding drop summary, 10-year backfill. No API key. $4/1K.

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from $2.80 / 1,000 filing results

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Michael Best

Michael Best

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Startup Funding Tracker pipeline: SEC EDGAR, Form D XML, filters and sorting, website match, weekly funding drop

Companies that just told the SEC they are raising private money, as a clean lead list: company, address, phone, industry, how much they are raising, how much they have already sold, and who runs it, plus the company website when we can find it. Sort by raise size, search the issuer text, and get a ready-to-share weekly funding drop summary.

When a US company raises money privately (seed rounds, Series A, friends-and-family notes, real estate syndications), it files a Form D with the SEC within 15 days of the first sale. Those filings are public and published daily on SEC EDGAR, but they are scattered XML files. This Actor reads EDGAR's official daily indexes (and the SEC's quarterly Form D data sets for older dates), parses each Form D, drops investment funds and holding vehicles such as TopCos and SPVs (on by default), applies your filters and gives you one tidy row per company.

Price: $4 per 1,000 leads. You pay only for leads that end up in your results. Filtered-out filings are free.

Why this Form D scraper?

🏢 Operating companies, not fundsAbout two thirds of Form D filings are hedge, PE and VC funds. They are excluded by default, so you get companies that actually need vendors, hires and services.
📞 Contact-readyStreet address, city, state, ZIP and phone straight from the filing, plus executives and directors with their roles.
📈 Deal sizeTotal offering amount, amount already sold, amount remaining, minimum investment, number of investors (a count; Form D has no investor names), securities type (equity, debt, options...).
🎯 FiltersDate range (7 days, 2026-10-01), official SEC industry groups (dropdown) or free-text industry words, state, offering size range, minimum amount sold, minimum investor count (Form D reports how many investors, not who they are), startups only (incorporated within 5 years), company-name keywords, amendments on/off.
🔎 Issuer full-text searchOne query across company name, previous names, executives, directors and promoters, city, state, street, industry and entity type: "palo alto" -fund, robotics | drones.
🏆 Sort by raise sizeLargest amount sold, largest offering, highest investor count or newest first, then the top N.
🌐 Company websiteFrom the issuer's SEC profile when listed; otherwise the company's own domain, kept only when that page names the company and passes the checks below (website_source and website_confidence tell you which).
📰 Weekly funding dropEvery run writes FUNDING_DROP (JSON) and FUNDING_DROP_HTML (a shareable page): totals, top raises, counts by industry and state. Company-level only: no executives or other people are named, so it is safe to share. Schedule it weekly for a newsletter-ready digest.
🔔 Only new filingsRemembers what earlier runs returned (and what your filters rejected, so it isn't downloaded again). Schedule it daily and you get a fresh funding-leads feed.
⏪ Fast backfillPast quarters come from the SEC's official quarterly Form D data sets, so a full year of Reg D private placements takes minutes, not hours. Up to 10 years per run.
🔑 No API key, no subscriptionUnlike Crunchbase, PitchBook or paid SEC APIs, you need no account with any data vendor. Pay only per lead.
✅ Official public dataUses SEC EDGAR's public archives within the SEC's published fair-access rules (identified User-Agent, well under 10 requests/second). No login, no proxies, no browser.

What data do you get?

form_type · company_name · cik · filed_date · accession_number · is_amendment · entity_type · jurisdiction · year_of_incorporation · street · city · state · state_name · zip · phone · industry_group · fund_type · is_pooled_fund · holding_vehicle_reason · revenue_range · net_asset_value_range · federal_exemptions · date_of_first_sale · more_than_one_year · securities_types · is_business_combination · minimum_investment · total_offering_amount · total_offering_indefinite · total_amount_sold · total_remaining · has_non_accredited_investors · total_investors · sales_commissions · finders_fees · gross_proceeds_to_insiders · sales_compensation_recipients · related_persons · executives · signer_name · signer_title · signature_date · company_website · website_source · website_confidence · tickers · filing_url · xml_url · data_source · scraped_at

Export as JSON, CSV, Excel or HTML, or pull it through the Apify API. The Leads view in the Output tab shows the most useful columns.

The run's key-value store also gets FUNDING_DROP:

{
"title": "Funding drop 2026-10-19 to 2026-10-23",
"filings": 289,
"total_amount_sold_usd": 2793678380,
"young_companies": 219,
"company_level_only": true,
"top_raises": [{ "company_name": "Modal Labs, Inc.", "industry_group": "Other Technology", "total_amount_sold": 601892375, "filing_url": "https://www.sec.gov/..." }],
"by_industry": [{ "industry_group": "Other Technology", "filings": 83, "amount_sold_usd": 1412525824 }],
"by_state": [{ "state": "CA", "filings": 48 }]
}

Use cases

  • B2B sales prospecting: a company that just raised $3M is about to spend it. Reach out to newly funded startups first (SaaS, agencies, recruiters, accountants, insurance, office space).
  • Investors and VC scouts: see which startups in your sector and state are raising, and how much they have closed.
  • Fintech and banking: find newly funded companies that need business accounts, payroll or credit.
  • Journalists and analysts: track private-capital activity by industry, state and deal size.
  • CRM enrichment: add funding events to accounts you already track (match on company name or CIK).
  • AI agents: a structured "who just raised money" tool.

How to use it

  1. Click Try for free. The form is prefilled (last 7 days, Other Technology, Computers and Biotechnology, 25 results), so the first run takes a minute or two and costs at most 10 cents.
  2. Adjust the date range and filters. Set Max results to 0 for everything that matches.
  3. Optional: put your email in Your contact email. The SEC asks automated clients to identify themselves; it is only sent to sec.gov in the User-Agent header.
  4. Click Start, then open the Output tab or export the dataset.

Daily lead feed: turn on Only filings not seen in earlier runs, then create a Schedule (e.g. every weekday at 10:00 UTC, set dateFrom to 3 days) and connect Google Sheets, Slack, email, HubSpot or a webhook through Apify integrations.

Input example

{
"dateFrom": "3 days",
"industryGroups": ["Other Technology", "Computers", "Biotechnology"],
"industries": ["health"],
"states": ["CA", "NY", "TX"],
"minOfferingAmount": 1000000,
"minAmountSold": 500000,
"minInvestors": 2,
"issuerQuery": "\"san francisco\" | austin",
"sortBy": "amount_sold_desc",
"includeCompanyWebsite": true,
"excludePooledFunds": true,
"onlyYoungCompanies": true,
"onlyNew": true,
"stateKey": "tech-startups",
"maxResults": 0,
"contactEmail": "you@example.com"
}

Output example

(related persons shortened)

{
"form_type": "D",
"company_name": "Ascoltare Holdings LLC",
"cik": "2153673",
"filed_date": "2026-10-23",
"accession_number": "0002153673-26-000001",
"is_amendment": false,
"entity_type": "Limited Liability Company",
"jurisdiction": "DELAWARE",
"year_of_incorporation": "2025",
"street": "20423 STATE RD7, SUITE F6-380",
"city": "BOCA RATON",
"state": "FL",
"state_name": "FLORIDA",
"zip": "33498",
"phone": "561-800-4823",
"industry_group": "Biotechnology",
"fund_type": null,
"is_pooled_fund": false,
"holding_vehicle_reason": null,
"revenue_range": "Decline to Disclose",
"net_asset_value_range": null,
"federal_exemptions": [
"06b"
],
"date_of_first_sale": "2025-05-09",
"more_than_one_year": true,
"securities_types": [
"debt"
],
"is_business_combination": false,
"minimum_investment": 0.0,
"total_offering_amount": 4300000.0,
"total_offering_indefinite": false,
"total_amount_sold": 1700000.0,
"total_remaining": 2600000.0,
"has_non_accredited_investors": false,
"total_investors": 10.0,
"sales_commissions": 0.0,
"finders_fees": 0.0,
"gross_proceeds_to_insiders": 0.0,
"sales_compensation_recipients": [],
"related_persons": [
{
"name": "John A. Martino II",
"relationships": [
"Executive Officer",
"Director",
"Promoter"
],
"clarification": null,
"city": "Boca Raton",
"state": "FL"
},
{
"name": "Stephen DeKanter",
"relationships": [
"Director"
],
"clarification": null,
"city": "Boca Raton",
"state": "FL"
}
],
"signer_name": "John A. Martino",
"signer_title": "Chief Executive Officer",
"signature_date": "2026-10-22",
"filing_url": "https://www.sec.gov/Archives/edgar/data/2153673/000215367326000001/0002153673-26-000001-index.htm",
"xml_url": "https://www.sec.gov/Archives/edgar/data/2153673/000215367326000001/primary_doc.xml",
"executives": "John A. Martino II",
"company_website": null,
"website_source": null,
"website_confidence": null,
"tickers": [],
"scraped_at": "2026-10-26T09:50:53.700748Z"
}

Field notes

  • Industry is the SEC's own industryGroupType (35 groups, e.g. "Other Technology", "Biotechnology", "Commercial", "Restaurants", "Other Health Care"). Industry groups is an exact pick from the official list. Industries (free text) is a case-insensitive contains match, so technology also matches Biotechnology. A filing passes if it matches either.
  • data_source is edgar_filing_xml (read from the filing's XML on EDGAR) or sec_quarterly_dataset (from the SEC's quarterly Form D data set; same fields, spot-checked against the XML; rarely, a related person's middle name differs because the SEC data set and the XML disagree).
  • year_of_incorporation is a year when the filer reports one (incorporated within 5 years), otherwise the SEC wording: over 5 years or yet to be formed.
  • total_offering_amount is null when the filer reports an indefinite amount (total_offering_indefinite: true).
  • federal_exemptions: 06b = Rule 506(b), 06c = Rule 506(c) (general solicitation allowed), 04 = Section 4(a)(5), 3C.x = Investment Company Act exclusions (mostly funds).
  • executives is a comma-separated list of related persons with the Executive Officer role. related_persons has everyone listed (executives, directors, promoters) with city and state only; street addresses of individuals are not included.
  • filed_date is the EDGAR acceptance date. EDGAR publishes no index on weekends and federal holidays; those days are skipped automatically.
  • Filings are processed newest first (the current quarter day by day, then older quarters from the data sets), so with Max results you get the most recent leads. With Sort by set, every filing in the range is read first and the top Max results are output (you are charged only for those).
  • company_website: the SEC profile's website field is blank for most private issuers, so the Actor also tries name.com/.io/.ai/.co and keeps it only when the page title names the company (website_source: domain_match; double-check before outreach). Pages that are parked or for sale, .gov/.edu sites, social profiles, placeholder pages and redirects to an unrelated domain are rejected, and property or project LLCs are not guessed. website_confidence is high (SEC profile, or the exact domain with the full name in the title) or medium (shortened name or a redirect to a related domain); anything weaker is left blank. Funds and SPVs are skipped. It's off by default; turn on Add company website.
  • issuerQuery: words are ANDed, quoted phrases kept together, | (or OR) separates alternatives, -word excludes. Case-insensitive substring match.

Pricing

Pay per event: $0.004 per lead returned (one filing-result event per dataset item). Filtered-out, duplicate and already-seen filings cost nothing. There is no extra charge per run beyond Apify platform usage.

LeadsPrice
25$0.10
250$1.00
1,000$4.00

A typical weekday has about 200–260 new Form D filings. Roughly a third to a half of them are operating companies rather than funds.

You can set a Maximum cost per run in the run options. The Actor stops cleanly when it is reached.

Monitoring

With Only new filings, each scheduled run after the first reads only from the day before the previous run onward, so filings left out by Max results in an older window are not sold later as "new". To backfill older dates, use a new Monitoring state key. Dates follow US Eastern time, as EDGAR does; when a relative range such as "3 days" has no published EDGAR day yet (weekend, holiday, or before the evening release), the run uses the latest published day instead of returning nothing.

Each run writes a RUN_SUMMARY record to its key-value store: date range, days scanned, filings in index, fetched, filtered out, already seen, errors and leads output. The status message shows the same numbers.

Weekly funding drop: create a Schedule every Monday with dateFrom: "7 days", sortBy: "amount_sold_desc", maxResults: 100 and send FUNDING_DROP_HTML (or the dataset) to email, Slack or your newsletter tool.

API

curl -X POST "https://api.apify.com/v2/acts/resonating_quoll~sec-form-d-leads/run-sync-get-dataset-items?token=YOUR_TOKEN" \
-H "Content-Type: application/json" \
-d '{"dateFrom":"3 days","industries":["technology"],"maxResults":50}'

Python: ApifyClient(token).actor("resonating_quoll/sec-form-d-leads").call(run_input={...}).

Use with AI agents (Apify MCP)

Give Claude, Cursor, ChatGPT or any MCP client this Actor as a tool through the Apify MCP server:

{
"mcpServers": {
"apify": { "url": "https://mcp.apify.com?tools=resonating_quoll/sec-form-d-leads" }
}
}

The first connection signs you in to Apify (OAuth). Then ask, for example: "Which biotech startups in California sold more than 5M in private rounds this month? Sort by amount and give me their websites."

FAQ

Is this legal? Form D filings are public records that the SEC publishes on EDGAR for anyone to access. The Actor follows the SEC's fair-access policy: it identifies itself in the User-Agent and stays far below the 10 requests/second limit. You are responsible for how you use contact data. Follow applicable anti-spam and privacy laws (e.g. CAN-SPAM, GDPR) in your outreach.

Why not just use EDGAR full-text search? It doesn't give you structured offering amounts, addresses, phones or people in a spreadsheet, it doesn't filter out funds, and it can't sort by raise size. issuerQuery gives you a text search over the structured fields instead.

How far back can I go? Any date range up to 10 years per run. Completed quarters are read from the SEC's quarterly Form D data sets (one ~4 MB download per quarter), so backfills are fast. The current quarter (and a just-finished quarter whose data set the SEC hasn't published yet) is read day by day from EDGAR. The quarterly data sets cover 2009 onward.

Is this a Crunchbase alternative? For Form D funding events, it can be. Funding databases such as Crunchbase and PitchBook use Form D filings as one of their sources, usually behind a subscription. Here you get the primary-source filing as soon as EDGAR publishes it, with offering size, amount sold, address, phone and executives, for $4 per 1,000 leads. What you don't get is investor names (Form D doesn't list investors) or valuations.

What is Regulation D / a private placement? Regulation D (Rules 504, 506(b) and 506(c)) lets companies sell securities privately without registering with the SEC. Each such private placement must be reported on Form D within 15 days of the first sale. That makes Form D the primary public SEC record of US private fundraising under Regulation D. It covers startup rounds, SAFEs and convertible notes, real-estate syndications, oil and gas deals and private funds.

Do I need an SEC or EDGAR API key? No. EDGAR is free and public with no key. The Actor handles indexes, XML parsing, rate limits and the quarterly data sets for you.

Does it include emails? No. Form D doesn't contain email addresses. You get the company phone, address and executive names, which you can enrich with other tools.

How are holding vehicles detected? With Exclude pooled investment funds on, a filing is dropped when its industry group is Pooled Investment Fund, or when it sells pooled-fund interests (Item 9), claims an Investment Company Act 3(c) exclusion, or its name is an unambiguous vehicle name (TopCo, HoldCo, BidCo, Fund, SPV, Feeder, Blocker, Aggregator, Co-Invest, "Series 10", "a series of", "Holdings, L.P.", or a word like Capital, Partners or Ventures followed by a number such as "Capital XIX"). Plain names like "Acme Holdings Inc." or "Partners Health LLC" are kept. RUN_SUMMARY.filtered_holding_vehicles shows how many were dropped; turn the option off to see them with holding_vehicle_reason.

Why did some filings get skipped? Check RUN_SUMMARY: most are filtered out as pooled funds or by your filters. Older paper-era filings without XML are also skipped. With Only new filings on, filings your filters rejected are remembered too, so they are not downloaded again on the next scheduled run (if you loosen your filters, use a new Monitoring state key).

Limitations

  • Only Form D and, optionally, D/A. Form C (crowdfunding) and Reg A are not included.
  • Company size info is self-reported; many filers choose "Decline to Disclose" for revenue.
  • Most private issuers have no website on their SEC profile; the domain match finds many but not all, and can rarely pick a same-named company.
  • Sorting holds up to 20,000 matching filings in memory; for very long ranges use filters or a shorter range.
  • A company may file several Form Ds for different offerings. Each filing is a separate lead (dedupe on cik if needed).

More from this developer

  • ATS Jobs Scraper: search 12,000+ company career boards on 6 ATSs, with hiring velocity per company. Pair it with Form D: newly funded companies tend to start hiring.
  • Remote Jobs Scraper: terms-clean remote jobs straight from employer career pages plus Remote OK and Jobicy, trust-scored.

Feedback

Found a bug or need a field? Open an issue in the Issues tab. I usually reply within a day.