# SEC Form D Deal-Flow Tracker – Private Capital Raise API (`peepee/sec-form-d-dealflow-tracker`) Actor Real-time feed of new SEC Form D filings (Regulation D exempt securities offerings). Get issuer, industry, amount raised, investor count, and exemption type for every new private capital raise as it's filed. - **URL**: https://apify.com/peepee/sec-form-d-dealflow-tracker.md - **Developed by:** [K O](https://apify.com/peepee) (community) - **Categories:** Lead generation, News, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $250.00 / 1,000 deal records This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## SEC Form D Deal-Flow Tracker — Private Capital Raise API A **SEC Form D scraper** and private-markets deal-flow API that pulls new Regulation D exempt securities offering filings directly from SEC EDGAR's real-time filing feed the moment they're filed, and normalizes each one into a structured deal record: issuer, industry, amount raised, investor count, minimum investment, and exemption type. Use it to build a **VC/PE deal-sourcing feed**, a competitive-intelligence tool for who's raising capital in a given industry or state, an LP/fund-of-funds monitoring tool, or a data feed for financial journalism covering private funding rounds — all from the same normalized Form D data. ### Why this is worth charging for Every private company raising capital under Regulation D — the exemption used for the overwhelming majority of US venture and private equity rounds — must file a Form D with the SEC, usually within 15 days of the first sale. This is the earliest public, verifiable record that a raise happened, well before any press release, and it is a legal filing requirement, not something a company can suppress. There is no free, real-time, structured API for this anywhere: - The only official source is a per-filing XML document (`primary_doc.xml`) buried inside SEC EDGAR's raw filing archive — reading it correctly means handling a real government XML schema where single-item lists collapse to bare values instead of arrays, optional financial fields are sometimes absent entirely, and identifiers like CIK numbers must not lose their leading zeros. - The buyers are well-funded and recurring: VCs and angel syndicates doing competitive deal-sourcing, LPs and fund-of-funds monitoring GP activity, wealth managers tracking private placements, and M&A/PE researchers building sector-level fundraising maps. - Commercial equivalents (PitchBook, Crunchbase Pro/Enterprise, CB Insights) charge hundreds to tens of thousands of dollars per year for deal-flow data that traces back to this exact same public filing. ### Output Each dataset item is one normalized Form D deal record: ```json { "formType": "D", "accessionNumber": "0002142516-26-000001", "filedDate": "2026-07-01", "issuerCik": "0002142516", "issuerName": "Example Mutual Bancorp", "issuerCity": "SPRINGFIELD", "issuerState": "IN", "jurisdictionOfInc": "INDIANA", "entityType": "Other", "yearOfIncorporation": "2022", "industryGroupType": "Commercial Banking", "isAmendment": false, "dateOfFirstSale": "2026-06-18", "moreThanOneYearDuration": false, "minimumInvestmentAccepted": 50000, "totalOfferingAmount": 10000000, "totalAmountSold": 10000000, "totalRemaining": 0, "hasNonAccreditedInvestors": false, "totalInvestors": 14, "federalExemptionsExclusions": ["06b"], "relatedPersonsCount": 12, "salesCompensationRecipientsCount": 1, "filingIndexUrl": "https://www.sec.gov/Archives/edgar/data/2142516/000214251626000001/0002142516-26-000001-index.htm", "sourceXmlUrl": "https://www.sec.gov/Archives/edgar/data/2142516/000214251626000001/primary_doc.xml" } ```` ### Input | Field | Description | |---|---| | `formTypes` | Which form types to include: `D` (new filing) and/or `D/A` (amendment). | | `maxFilingsToScan` | How many of the most recent filings to check per run (SEC's feed exposes latest filings, not a date range). | | `onlyNewSinceLastRun` | Recommended for schedules — skips filings already returned by a previous run using persisted state, so you're only charged for genuinely new deals. | | `minTotalOfferingAmount` | Skip filings below this dollar amount. | | `maxItems` | Stop after this many normalized deal records. | | `includeRawXml` | Attach the fully parsed XML for audit or to access fields outside the normalized schema (full related-persons list, sales compensation recipients). | ### Pricing (Pay-Per-Event) - **`filing-checked`** — $0.05, charged once per form-type feed poll per run. - **`deal-record`** — $0.25 per normalized deal record pushed. This is the primary event. - `apify-actor-start` (synthetic, Apify-managed) — covers the first 5 seconds of compute per run. A scheduled hourly or daily run typically returns a handful to a few dozen new filings, costing a few dollars per run — priced like the institutional deal-flow product it is, not a generic scraper. ### Why the parser is defensive about XML shape SEC's Form D XML schema collapses single-item lists (e.g. one related person, one exemption code) to a bare value instead of a one-element array — a well-known quirk of XML-to-object conversion that silently breaks naive parsers expecting `.length` on every list field. This actor normalizes every list field to a real array regardless of how many items it contains, and throws a clear error instead of returning a garbage record if SEC ever changes the root `` schema. Run `npm test` for the offline self-test covering both the real-time filing feed parser and the Form D XML parser, including single-item-list edge cases. ### FAQ **Is there an API for SEC Form D filings?** Yes — this actor is that API. Run it on a schedule and every new Form D or D/A filing lands in a structured dataset you can pull via the Apify API, webhook, or direct export (JSON/CSV/Excel). **How current is the data?** As current as SEC EDGAR's own real-time filing feed — typically within minutes of the filing being accepted, not the next business day. **Can I filter by industry or deal size?** Yes. Use `minTotalOfferingAmount` to filter at the source, or filter the output dataset by `industryGroupType`, `issuerState`, or `totalOfferingAmount` after the run. **Does this include venture capital rounds specifically?** Form D covers all Regulation D exempt offerings, which includes the large majority of VC-backed priced equity rounds, SAFEs, and private debt/fund vehicles. Filter by `industryGroupType` (e.g. "Pooled Investment Fund", "Other Technology") to narrow to your sector of interest. **What's the difference between this and Crunchbase/PitchBook?** Those platforms enrich Form D data with additional sourcing (press releases, LinkedIn, manual research) and charge accordingly. This actor gives you the same underlying primary-source SEC filing data in real time, without the markup — pair it with your own enrichment if you need company-level context. # Actor input Schema ## `formTypes` (type: `array`): Form D is a new exempt-offering notice. Form D/A is an amendment to a previously filed Form D (e.g. updated amount raised). Include both to catch updates to deals already in progress. ## `maxFilingsToScan` (type: `integer`): How many of the most recent Form D/D-A filings to check per run. SEC EDGAR's real-time feed only exposes the latest filings, not an arbitrary date range, so this controls how deep each run looks back. ## `onlyNewSinceLastRun` (type: `boolean`): Recommended for scheduled/recurring runs. Uses this Actor's persisted state to skip filings already returned by an earlier run, so a daily schedule only charges for genuinely new deals instead of re-billing the same filings every time. ## `minTotalOfferingAmount` (type: `integer`): Skip filings below this total offering amount. Leave blank to return all filings regardless of size. ## `maxItems` (type: `integer`): Stop once this many normalized deal records have been pushed to the dataset. Leave blank for no limit (bounded by maxFilingsToScan). ## `includeRawXml` (type: `boolean`): Attach the fully parsed primary\_doc.xml object as 'raw' on every record, for audit/debugging or to access fields not included in the normalized schema (e.g. full related-persons list, sales compensation recipients). ## Actor input object example ```json { "formTypes": [ "D", "D/A" ], "maxFilingsToScan": 100, "onlyNewSinceLastRun": true, "includeRawXml": false } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("peepee/sec-form-d-dealflow-tracker").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("peepee/sec-form-d-dealflow-tracker").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call peepee/sec-form-d-dealflow-tracker --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=peepee/sec-form-d-dealflow-tracker", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "SEC Form D Deal-Flow Tracker – Private Capital Raise API", "description": "Real-time feed of new SEC Form D filings (Regulation D exempt securities offerings). Get issuer, industry, amount raised, investor count, and exemption type for every new private capital raise as it's filed.", "version": "1.0", "x-build-id": "eURZBt1aDKXadAMGe" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/peepee~sec-form-d-dealflow-tracker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-peepee-sec-form-d-dealflow-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/peepee~sec-form-d-dealflow-tracker/runs": { "post": { "operationId": "runs-sync-peepee-sec-form-d-dealflow-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/peepee~sec-form-d-dealflow-tracker/run-sync": { "post": { "operationId": "run-sync-peepee-sec-form-d-dealflow-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "formTypes": { "title": "Form types to include", "type": "array", "description": "Form D is a new exempt-offering notice. Form D/A is an amendment to a previously filed Form D (e.g. updated amount raised). Include both to catch updates to deals already in progress.", "items": { "type": "string", "enum": [ "D", "D/A" ], "enumTitles": [ "D (new filing)", "D/A (amendment)" ] }, "default": [ "D", "D/A" ] }, "maxFilingsToScan": { "title": "Maximum filings to scan from the SEC feed", "minimum": 1, "maximum": 1000, "type": "integer", "description": "How many of the most recent Form D/D-A filings to check per run. SEC EDGAR's real-time feed only exposes the latest filings, not an arbitrary date range, so this controls how deep each run looks back.", "default": 100 }, "onlyNewSinceLastRun": { "title": "Only return filings not seen in a previous run", "type": "boolean", "description": "Recommended for scheduled/recurring runs. Uses this Actor's persisted state to skip filings already returned by an earlier run, so a daily schedule only charges for genuinely new deals instead of re-billing the same filings every time.", "default": true }, "minTotalOfferingAmount": { "title": "Minimum total offering amount (USD)", "minimum": 0, "type": "integer", "description": "Skip filings below this total offering amount. Leave blank to return all filings regardless of size." }, "maxItems": { "title": "Maximum deal records to return", "minimum": 1, "type": "integer", "description": "Stop once this many normalized deal records have been pushed to the dataset. Leave blank for no limit (bounded by maxFilingsToScan)." }, "includeRawXml": { "title": "Include raw parsed XML", "type": "boolean", "description": "Attach the fully parsed primary_doc.xml object as 'raw' on every record, for audit/debugging or to access fields not included in the normalized schema (e.g. full related-persons list, sales compensation recipients).", "default": false } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```