# SEC EDGAR Funded Startup Lead Scraper (`meticulous_snail/sec-edgar-funded-startup-leads`) Actor Companies that just raised funding from SEC EDGAR Form D — hottest B2B leads. Get company name, state, amount raised, filing date. - **URL**: https://apify.com/meticulous\_snail/sec-edgar-funded-startup-leads.md - **Developed by:** [Beatsync Pro](https://apify.com/meticulous_snail) (community) - **Categories:** Lead generation - **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 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 EDGAR Form D Lead Scraper **Find US companies that just raised private funding. Every company raising capital must file Form D with the SEC within 15 days — this actor captures those filings.** Form D = a company that just got funded. That means they have money to spend and are actively building. Perfect timing signal for outreach. ### What You Get | Field | Description | |---|---| | `companyName` | Company name | | `state` | State of operations | | `city` | City | | `filingDate` | Date Form D was filed | | `cik` | SEC Central Index Key | | `accessionNumber` | Filing accession number | | `filingUrl` | Direct link to SEC EDGAR filing | | `source` | "SEC EDGAR Form D" | ### Input Parameters | Parameter | Type | Default | Description | |---|---|---|---| | `daysBack` | integer | 30 | How many days back to search | | `stateCodes` | string | "" | Filter by state (e.g., "CA,TX,NY") | | `maxResults` | integer | 100 | Max results | ### Pricing **$0.001 per result.** 100 funded companies = $0.10. ### Use Cases - Sales outreach to freshly-funded startups (they're spending) - Investor intelligence — who raised in your sector this week? - PR/media tracking newly funded companies - Service providers (lawyers, accountants, agencies) targeting funded startups - VC competitive intelligence ### Data Source Official SEC EDGAR EFTS API — 100% legal, public data. ### Example: Recently Funded CA Startups ```json { "daysBack": 14, "stateCodes": "CA", "maxResults": 100 } ```` ### Note Form D filings don't include email addresses — use this actor for timing signals, then enrich with the Agency Email Finder or Google Maps Scraper for contact info. # Actor input Schema ## `dateFrom` (type: `string`): Start date for Form D filings in YYYY-MM-DD format. ## `stateCodes` (type: `string`): Comma-separated US state codes to filter by (e.g. CA,TX,NY). Leave empty for all states. ## `minAmount` (type: `integer`): Minimum funding amount in USD. Set to 0 to include all filings. ## `maxResults` (type: `integer`): Maximum number of lead records to return. ## Actor input object example ```json { "dateFrom": "2026-01-01", "stateCodes": "", "minAmount": 0, "maxResults": 100 } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("meticulous_snail/sec-edgar-funded-startup-leads").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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("meticulous_snail/sec-edgar-funded-startup-leads").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 meticulous_snail/sec-edgar-funded-startup-leads --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=meticulous_snail/sec-edgar-funded-startup-leads", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "SEC EDGAR Funded Startup Lead Scraper", "description": "Companies that just raised funding from SEC EDGAR Form D — hottest B2B leads. Get company name, state, amount raised, filing date.", "version": "1.0", "x-build-id": "iC2xVRdmLAT5K8OtC" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/meticulous_snail~sec-edgar-funded-startup-leads/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-meticulous_snail-sec-edgar-funded-startup-leads", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/meticulous_snail~sec-edgar-funded-startup-leads/runs": { "post": { "operationId": "runs-sync-meticulous_snail-sec-edgar-funded-startup-leads", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/meticulous_snail~sec-edgar-funded-startup-leads/run-sync": { "post": { "operationId": "run-sync-meticulous_snail-sec-edgar-funded-startup-leads", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "dateFrom": { "title": "Date From", "type": "string", "description": "Start date for Form D filings in YYYY-MM-DD format.", "default": "2026-01-01" }, "stateCodes": { "title": "State Codes", "type": "string", "description": "Comma-separated US state codes to filter by (e.g. CA,TX,NY). Leave empty for all states.", "default": "" }, "minAmount": { "title": "Minimum Amount Raised (USD)", "type": "integer", "description": "Minimum funding amount in USD. Set to 0 to include all filings.", "default": 0 }, "maxResults": { "title": "Max Results", "type": "integer", "description": "Maximum number of lead records to return.", "default": 100 } } }, "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 } } } } } } } } } } ```