# SEC Form D Feed — New Private Fundraises, Daily & Incremental (`curative_blanket/sec-form-d-feed`) Actor Daily feed of companies that just raised private capital. Form D filings parsed into clean leads: company, amount raised, industry, location, execs. For deal sourcing, sales teams, recruiters, and AI agents. Incremental — only new filings per run. - **URL**: https://apify.com/curative\_blanket/sec-form-d-feed.md - **Developed by:** [Salim](https://apify.com/curative_blanket) (community) - **Categories:** Lead generation, Automation, AI - **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 form d results 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 Feed — New Private Fundraises, Daily & Incremental A live feed of **companies that just raised private capital**, straight from SEC EDGAR. Every new Form D filing — normalized into a clean lead: company, amount raised, industry, location, and the executives named on the filing. **Pay only for results.** No subscription. A run that returns nothing costs nothing. ### Why this feed - **Catch raises the day they post.** Incremental by default — each scheduled run emits only filings not seen before. A company that filed yesterday is a hot lead today, and staleness kills the value. - **Structured, not just metadata.** Detail mode pulls amount offered, amount sold, industry, revenue range, minimum investment, issuer location, and named execs/directors — the fields a sales, recruiting, or investment team actually acts on. - **Filter to your thesis.** By keyword (e.g. "artificial intelligence", "biotech"), issuer state, and originals-vs-amendments. - **Official source, no breakage.** EDGAR full-text search + filing documents. No anti-bot, no stale pages. - **Agent-ready.** Stable JSON, predictable fields, pay-per-result — drop it into an MCP workflow or an AI deal-sourcing agent. ### Output fields `accession`, `cik`, `company`, `formType`, `filedDate`, `filingUrl`, `sourceUrl`, and (detail mode) `industry`, `totalOfferingAmount`, `totalAmountSold`, `totalRemaining`, `minimumInvestment`, `dateOfFirstSale`, `revenueRange`, `issuerCity`, `issuerState`, `execs`, `scrapedAt`. ### Who uses this VC/PE deal sourcing · sales-intelligence teams selling to freshly-funded startups · recruiters targeting funded companies · competitive and market intelligence · AI agents that surface new raises. ### Billing model This Actor bills via Apify's **automatic per-dataset-item ("Result") event** — exactly one item written to the default dataset equals exactly one billable result. The code never calls `Actor.charge()`, so there is no double-billing, and a run that emits **zero** new filings writes nothing to the default dataset and therefore **costs $0** (the no-results notice goes to the run log, `OUTPUT`, and a non-default `run-reports` dataset). In **Console → Monetization**, set *Pay per event → "Charge for each dataset item"* and add no custom charge event. This mirrors the `austin-permits-api` model. ### Schedule it Set a daily schedule with `daysBack: 2` and `incremental: true` for a clean daily feed of just the newest private fundraises. ### Source All data is public US government information from SEC EDGAR. No login or key required to access the underlying filings. # Actor input Schema ## `daysBack` (type: `integer`): How many days of recent Form D filings to scan. For a daily scheduled feed, 1–3 is typical. ## `keyword` (type: `string`): Free-text filter, e.g. 'artificial intelligence', 'biotech'. Leave blank for all Form D filings. ## `locationCodes` (type: `string`): Optional US state codes, comma-separated, e.g. 'CA,NY,TX'. Filters by issuer location. ## `includeAmendments` (type: `boolean`): Include amended Form D filings, not just originals. ## `fetchDetails` (type: `boolean`): On: enrich each row with amount raised, industry, execs/related persons, issuer location. Slightly slower; this is the core value for lead/deal use. ## `incremental` (type: `boolean`): On: each run emits only filings not seen in prior runs. Off: emit everything in the window. ## `maxResults` (type: `integer`): Cost guard. Form D volume runs to hundreds per day. ## `resetDedup` (type: `boolean`): Clears the 'seen' memory so the next run re-emits everything. Use for the first run or a health check. ## `contactEmail` (type: `string`): SEC fair-access policy asks API users to identify themselves. Any email is fine. ## Actor input object example ```json { "daysBack": 7, "includeAmendments": true, "fetchDetails": true, "incremental": true, "maxResults": 1000, "resetDedup": false, "contactEmail": "actor@example.com" } ```` # 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("curative_blanket/sec-form-d-feed").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("curative_blanket/sec-form-d-feed").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 curative_blanket/sec-form-d-feed --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=curative_blanket/sec-form-d-feed", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "SEC Form D Feed — New Private Fundraises, Daily & Incremental", "description": "Daily feed of companies that just raised private capital. Form D filings parsed into clean leads: company, amount raised, industry, location, execs. For deal sourcing, sales teams, recruiters, and AI agents. Incremental — only new filings per run.", "version": "0.1", "x-build-id": "DbQaLJ9qhirQHsuNl" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/curative_blanket~sec-form-d-feed/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-curative_blanket-sec-form-d-feed", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/curative_blanket~sec-form-d-feed/runs": { "post": { "operationId": "runs-sync-curative_blanket-sec-form-d-feed", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/curative_blanket~sec-form-d-feed/run-sync": { "post": { "operationId": "run-sync-curative_blanket-sec-form-d-feed", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "daysBack": { "title": "Days back", "minimum": 1, "maximum": 90, "type": "integer", "description": "How many days of recent Form D filings to scan. For a daily scheduled feed, 1–3 is typical.", "default": 7 }, "keyword": { "title": "Keyword (optional)", "type": "string", "description": "Free-text filter, e.g. 'artificial intelligence', 'biotech'. Leave blank for all Form D filings." }, "locationCodes": { "title": "Issuer state(s)", "type": "string", "description": "Optional US state codes, comma-separated, e.g. 'CA,NY,TX'. Filters by issuer location." }, "includeAmendments": { "title": "Include amendments (D/A)", "type": "boolean", "description": "Include amended Form D filings, not just originals.", "default": true }, "fetchDetails": { "title": "Fetch full detail per filing", "type": "boolean", "description": "On: enrich each row with amount raised, industry, execs/related persons, issuer location. Slightly slower; this is the core value for lead/deal use.", "default": true }, "incremental": { "title": "Incremental mode (only new filings)", "type": "boolean", "description": "On: each run emits only filings not seen in prior runs. Off: emit everything in the window.", "default": true }, "maxResults": { "title": "Max results per run", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Cost guard. Form D volume runs to hundreds per day.", "default": 1000 }, "resetDedup": { "title": "Reset dedup memory", "type": "boolean", "description": "Clears the 'seen' memory so the next run re-emits everything. Use for the first run or a health check.", "default": false }, "contactEmail": { "title": "Contact email (User-Agent)", "type": "string", "description": "SEC fair-access policy asks API users to identify themselves. Any email is fine.", "default": "actor@example.com" } } }, "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 } } } } } } } } } } ```