# SEC Form D Private Placement Tracker (`nexgendata/sec-form-d-scraper`) Actor Track private placement filings via SEC EDGAR Form D — entity name, CIK, total raised, total sold, minimum investment, fund type, federal exemptions, related persons (officers/directors), filing date, jurisdiction. PitchBook public-data alternative for VC/PE intel, M\&A bankers, journalists. - **URL**: https://apify.com/nexgendata/sec-form-d-scraper.md - **Developed by:** [NexGenData](https://apify.com/nexgendata) (community) - **Categories:** Business, Other - **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $150.00 / 1,000 form d filings This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 Private Placement Tracker — VC/PE funding intel from EDGAR — entity, CIK, raise, exemptions, officers Scrape every Form D private placement filing from SEC EDGAR — the canonical record of every private securities offering under Regulation D in the U.S. Get issuer name, CIK, total amount raised, fund type (VC/PE/hedge fund/real estate), Rule 506(b)/506(c) exemption claimed, officers and directors, broker-dealers, and exact filing date. > **One actor. One token. Real-time regulator-direct data delivered in structured JSON.** ### Why This Actor Beats PitchBook, Crunchbase, Bloomberg Terminal - **Source-of-truth EDGAR data**: PitchBook and Crunchbase enrich and lag — sometimes by weeks. Form D filings appear on EDGAR within hours of submission. You get the raw filing, not a reseller's interpretation. - **Pay-per-result vs. $25K+ seats**: PitchBook seats start at $25,000/year. Capital IQ runs $30K+. This actor charges $0.15 per filing. A whole-year backfill of every Form D ever filed costs less than one PitchBook user-month. - **Officer/director names**: We extract the full executive table from Form D — names, titles, and addresses. Most paid VC databases don't surface this at all. - **Webhook-ready JSON**: Pipe results into Snowflake, BigQuery, your CRM, or a Slack alert in five lines of code. No SFTP, no Excel exports, no licence contracts. | Feature | This Actor 📈 | PitchBook | Crunchbase | Bloomberg Terminal | |---|---|---|---|---| | Pricing model | Pay-per-result (cents per record) | Per-seat license $5K-30K/yr | Per-seat license $10K-25K/yr | Per-seat license $10K-30K/yr | | Free tier | Yes (Apify free credits) | No | No | Limited search only | | Real-time freshness | Minutes after source publish | End-of-day refresh | Hourly refresh | Hourly refresh | | Data source | Direct from regulator | Mixed proprietary + scraped | Mixed proprietary + scraped | Mixed proprietary + scraped | | API access | REST + webhooks built in | Add-on; extra licence | Add-on; extra licence | Limited | | Bulk historical | Yes — date-range backfill | Limited download caps | Limited download caps | Limited download caps | | Setup time | 5 minutes (token + run) | Procurement + onboarding | Procurement + onboarding | Procurement + onboarding | ### What You Get Every record returned by this actor is structured JSON with the following fields populated wherever the source filing provides them: - Issuer name, CIK, EIN, jurisdiction of incorporation - Filing date, period of report, accession number, EDGAR URL - Total offering amount, total sold, total remaining - Fund type — VC, PE, hedge fund, real estate, other investment fund - Exemption claimed — Rule 506(b), 506(c), 504, Section 4(a)(5) - Investor count and minimum investment accepted - Officers and directors — names, titles, and signing addresses - Broker-dealer / finder names and CRD numbers - Sales commissions and finders' fees - Use of proceeds, related-party notes, supplemental information The full output schema is stable across runs — safe to load into Snowflake, BigQuery, Postgres, or your data warehouse without re-mapping each refresh. ### Use Cases - **VC analysts** — Track every fund close in your sector the day it hits EDGAR — including funds too small for PitchBook's coverage. - **Wealth managers / family offices** — Source private placements for accredited-investor clients and spot emerging managers raising their first fund. - **M&A bankers** — Identify which PE shops just closed a fund — they're the ones with fresh dry powder buying your client's company. - **LP advisors and FoF managers** — Cross-reference manager-claimed AUM vs. actual Form D totals. - **Journalists and researchers** — Investigate offshoots of major fund families and spot serial issuers. - **Compliance teams** — Monitor 506(c) general-solicitation offerings for suitability and disclosure review. - **Founders raising capital** — Benchmark your round size and structure against current Form D filings in your sector. ### Quick Start Install the Apify Python client, set your token, and call the actor: ```python from apify_client import ApifyClient client = ApifyClient("YOUR_APIFY_TOKEN") run = client.actor("nexgendata/sec-form-d-scraper").call(run_input={ "maxItems": 100, }) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) ```` You can also trigger via cURL: ```bash curl -X POST "https://api.apify.com/v2/acts/nexgendata~sec-form-d-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \ -H "Content-Type: application/json" \ -d '{"maxItems": 100}' ``` Schedule it on Apify's built-in scheduler for daily, hourly, or every-5-minute refreshes — no infra required. ### Pricing This actor uses **pay-per-event** pricing on Apify. Primary event: **Form D filing** at **$0.15 per record**. An Actor Start fee of $0.00005 applies per run (charged per GB of memory, minimum 1). No subscription, no seat licence, no procurement cycle — pay only for the rows you receive. For high-volume use cases (100K+ records/month), contact us at NexGenData for volume discounts. ### Sister Actors in the NexGenData Fleet NexGenData publishes the deepest SEC/regulatory actor catalog on Apify. Pair this actor with: | Use case | Actor | |----------|-------| | Track insider trades from corporate officers | [sec-form4-insider-tracker](https://apify.com/nexgendata/sec-form4-insider-tracker) | | Detect coordinated insider buying clusters | [insider-cluster-detector](https://apify.com/nexgendata/insider-cluster-detector) | | Monitor activist 13D/G filings and 5%+ positions | [sec-schedule-13dg-activist-tracker](https://apify.com/nexgendata/sec-schedule-13dg-activist-tracker) | | Track 13F hedge fund quarterly holdings | [sec-form-13f-holdings-tracker](https://apify.com/nexgendata/sec-form-13f-holdings-tracker) | | Catch M\&A and material events from 8-K filings | [sec-form-8k-material-events-scraper](https://apify.com/nexgendata/sec-form-8k-material-events-scraper) | | Mirror IPO tracker for public-market funding | [ipo-tracker](https://apify.com/nexgendata/ipo-tracker) | Browse the full 200+ actor catalog at https://apify.com/nexgendata?fpr=2ayu9b. ### FAQ **Q: Is scraping EDGAR legal?** A: Yes. SEC EDGAR is public-record data published by the U.S. federal government. SEC's fair-access policy permits programmatic retrieval at reasonable rates. **Q: How fresh is the data?** A: Form D filings appear on EDGAR typically within minutes of acceptance. Our actor reads new filings on demand — schedule it every 15 minutes for near-real-time coverage. **Q: Can I backfill historical filings?** A: Yes. EDGAR's Form D archive goes back to 2009. Pass a date range to backfill years of filings in a single run. **Q: Does this give me investor names?** A: Form D does not require disclosure of individual investor names. You get the issuer, officers, directors, and broker-dealers. Investor identity is intentionally not public. **Q: What's the schema stability?** A: Stable. The Form D EDGAR XML schema has been unchanged since 2008. Field names and types are guaranteed across runs. **Q: Can I filter by sector or state?** A: Yes — pass jurisdiction (state of incorporation), fund\_type, or issuer\_search to narrow your dataset before running. ### About NexGenData NexGenData publishes 200+ buyer-intent Apify actors covering SEC filings, federal regulatory data (EPA, FTC, CFPB, FEC, IRS 990, FAA), private-market intelligence (Form D, IPO, 13F, 13D/G), stock screeners across 30+ exchanges (NYSE, NASDAQ, LSE, TSX, ASX, HKEX, KOSPI, SGX, B3, BSE), B2B lead generation, and competitive intelligence. All actors are **pay-per-result** with no seat licences and no minimum commitments. Browse the full catalog and start a free run at **https://apify.com/nexgendata?fpr=2ayu9b**. Built by independent regulatory-data engineers. Reach out via the Apify message form for custom data integrations. ### Related NexGenData actors Part of the **1. SEC Filing & Market Structure** workflow. Related NexGenData actors: - [SEC EDGAR Scraper — 10-K, 10-Q & Filings](https://apify.com/nexgendata/sec-edgar-filings-scraper?fpr=2ayu9b) - [SEC EDGAR Search — Company Filings & Reports](https://apify.com/nexgendata/sec-edgar-search?fpr=2ayu9b) - [SEC Form 4 Insider Trading Tracker](https://apify.com/nexgendata/sec-form-4-insider-trading-scraper?fpr=2ayu9b) - [SEC Form 13F Holdings Tracker — Hedge Fund Filings](https://apify.com/nexgendata/sec-form-13f-tracker-pro?fpr=2ayu9b) - [SEC Form 8-K Material Events Tracker](https://apify.com/nexgendata/sec-form-8k-material-events-scraper?fpr=2ayu9b) Browse the full [NexGenData storefront by workflow](https://thenextgennexus.com/actors-by-workflow/) or the [SEC Filing & Market Structure cluster guide](https://thenextgennexus.com/sec-filings-toolkit/). # Actor input Schema ## `dateFrom` (type: `string`): Inclusive start date for the filing-date range. SEC's full-text search supports custom ranges going back to 2001. ## `dateTo` (type: `string`): Inclusive end date for the filing-date range. Use a small window (1-3 months) for narrow research; the full year is fine for bulk pulls. ## `query` (type: `string`): Optional keyword search across the filing's full text. Try a fund / GP name (e.g. 'Andreessen Horowitz'), a sector keyword ('biotech'), or a city ('Palo Alto'). Leave blank to pull every Form D in the date range. ## `maxFilings` (type: `integer`): Maximum number of Form D filings to return (1–2000). Each filing is a separate dataset row containing the parsed offering data. ## Actor input object example ```json { "dateFrom": "2025-01-01", "dateTo": "2025-01-31", "maxFilings": 25 } ``` # 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 = { "dateFrom": "2025-01-01", "dateTo": "2025-01-31", "query": "", "maxFilings": 25 }; // Run the Actor and wait for it to finish const run = await client.actor("nexgendata/sec-form-d-scraper").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 = { "dateFrom": "2025-01-01", "dateTo": "2025-01-31", "query": "", "maxFilings": 25, } # Run the Actor and wait for it to finish run = client.actor("nexgendata/sec-form-d-scraper").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 '{ "dateFrom": "2025-01-01", "dateTo": "2025-01-31", "query": "", "maxFilings": 25 }' | apify call nexgendata/sec-form-d-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nexgendata/sec-form-d-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "SEC Form D Private Placement Tracker", "description": "Track private placement filings via SEC EDGAR Form D — entity name, CIK, total raised, total sold, minimum investment, fund type, federal exemptions, related persons (officers/directors), filing date, jurisdiction. PitchBook public-data alternative for VC/PE intel, M&A bankers, journalists.", "version": "0.0", "x-build-id": "G1oagfkXnJdw5tfoR" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nexgendata~sec-form-d-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nexgendata-sec-form-d-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nexgendata~sec-form-d-scraper/runs": { "post": { "operationId": "runs-sync-nexgendata-sec-form-d-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nexgendata~sec-form-d-scraper/run-sync": { "post": { "operationId": "run-sync-nexgendata-sec-form-d-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "dateFrom", "dateTo" ], "properties": { "dateFrom": { "title": "Filing date — from (YYYY-MM-DD)", "type": "string", "description": "Inclusive start date for the filing-date range. SEC's full-text search supports custom ranges going back to 2001." }, "dateTo": { "title": "Filing date — to (YYYY-MM-DD)", "type": "string", "description": "Inclusive end date for the filing-date range. Use a small window (1-3 months) for narrow research; the full year is fine for bulk pulls." }, "query": { "title": "Free-text query (optional)", "type": "string", "description": "Optional keyword search across the filing's full text. Try a fund / GP name (e.g. 'Andreessen Horowitz'), a sector keyword ('biotech'), or a city ('Palo Alto'). Leave blank to pull every Form D in the date range." }, "maxFilings": { "title": "Max filings", "minimum": 1, "maximum": 2000, "type": "integer", "description": "Maximum number of Form D filings to return (1–2000). Each filing is a separate dataset row containing the parsed offering data.", "default": 50 } } }, "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 } } } } } } } } } } ```