# SEC EDGAR Funding & Exec-Change Monitor — Form D, 8-K (`scrapersdelight/sec-edgar-gtm-monitor`) Actor Monitor SEC EDGAR for two high-value GTM intent signals: new Form D filings (a company just raised private capital — with amount, industry & named principals) and 8-K Item 5.02 (exec changes). Filter by state, industry & amount; schedule it for new-filing alerts via Slack, email or webhook. - **URL**: https://apify.com/scrapersdelight/sec-edgar-gtm-monitor.md - **Developed by:** [Scrapers Delight](https://apify.com/scrapersdelight) (community) - **Categories:** Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $4.00 / 1,000 per record returneds 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 Funding & Exec-Change Monitor — Form D + 8-K **Two of the highest-value GTM intent signals, straight from public SEC filings — no login, no key. Get a clean feed of (1) companies that just raised private capital (Form D — with the dollar amount, industry, and named principals) and (2) executive/director changes (8-K Item 5.02). Filter by state, industry, and amount, run it on a schedule, and get alerted to new filings. Built to drop straight into Clay, your CRM, or n8n.** --- ### Why these two signals | Signal | Filing | What it means | Who buys it | |--------|--------|---------------|-------------| | 💰 **Funding** | **Form D** | A company just closed a private raise → fresh budget to spend | Sales/ABM, VCs, recruiters, service firms | | 🔁 **Exec change** | **8-K Item 5.02** | New officer/director → new initiatives, new vendor decisions | Sales, executive search, PR | "Just raised money" and "new decision-maker" are the classic **trigger events** GTM teams pay intent platforms thousands for. This actor builds them from the **public** EDGAR full-text-search API — the only Cloudflare-free, no-login funding source. --- ### What it extracts **Funding (Form D)** — `company`, `ticker`, `cik`, `form` (D / D/A), `filing_date`, `industry`, `state`, `inc_state`, `amount_offered`, `amount_sold`, `amount_remaining`, `min_investment`, `date_of_first_sale`, `is_amendment`, `related_persons` (named officers/directors/promoters with roles), `filing_url`. **Exec change (8-K 5.02)** — `company`, `ticker`, `cik`, `filing_date`, `items`, `state`, `filing_url`. Every record also has `signal_type`, `is_new` (monitor mode), and `scraped_at`. Export to JSON, CSV, Excel, HTML, or RSS — or pull via the Apify API. --- ### How to use it 1. Click **Try for free**. 2. Pick your **signal types** (funding, exec_change, or both) and a **lookback window**. 3. *(Recommended for funding)* keep **Exclude pooled investment funds** on, and set **Min amount sold/offered** and/or **Industry filter** to keep operating-company raises in your space. 4. Add your **contact email** (SEC asks API users to identify themselves). 5. Click **Start**, then open the **Dataset** tab. 6. **For a live intent feed:** turn on **Monitor mode**, add a **Schedule** (e.g. daily), and a **Slack/email/webhook**. #### Quick start — funded tech companies ```json { "signalTypes": ["funding"], "lookbackDays": 7, "excludeFunds": true, "industryFilter": ["Technology"], "minAmountSold": 1000000, "contactEmail": "you@company.com" } ```` #### Daily dual-signal monitor ```json { "signalTypes": ["funding", "exec_change"], "monitorMode": true, "states": ["CA","NY"], "slackWebhookUrl": "https://hooks.slack.com/services/…", "contactEmail": "you@company.com" } ``` *** ### Pricing (pay-per-event) | Event | What it covers | Suggested price | |-------|----------------|-----------------| | `lot-scraped` | each signal returned | ~$2–4 / 1,000 | | `lot-detail-enriched` | each Form D doc fetched for amount + principals | ~$2–4 / 1,000 | | `monitor-run-completed` | each scheduled watch run | ~$0.05 / run | | `new-lot-detected` | each newly-appearing filing | ~$0.02 / filing | | `alert-delivered` | each Slack/email/webhook alert | ~$0.005 / alert | *(Final prices are set on the actor's pricing page.)* *** ### Notes & limits - **Public federal filings.** Form D discloses **named principals** (a public disclosure) — surface it; how you use it is your call (follow CAN-SPAM / TCPA for any outreach). - **`amount_sold` is often 0 on a fresh filing** (raise just opened) — `amount_offered` shows the target. Use `includeAmendments` to catch follow-on closes. - **Be polite to SEC.** Set `contactEmail`, and use filters (state / industry / amount) to keep runs small. The actor caps and logs if a window is very large. - **Coverage:** EDGAR full-text search covers filings from 2001 onward; this actor is built for the recent-filings monitor use case. *** ### FAQ **Can I target an industry?** Yes — `industryFilter: ["Technology"]` (Form D's own `industryGroupType`). **Operating companies only, not VC funds?** Keep `excludeFunds: true` (drops "Pooled Investment Fund" filings). **Will it double-alert?** No — monitor mode remembers seen filings (per filter scope) and emits each once. **Does it work for public-company funding too?** Form D is private placements; pair with the 8-K signal for public-company events. # Actor input Schema ## `signalTypes` (type: `array`): Which intent signals to collect. 'funding' = new Form D private raises; 'exec\_change' = 8-K Item 5.02 officer/director changes. ## `dateFrom` (type: `string`): Filing-date window start. Leave empty to use today minus 'Lookback days'. ## `dateTo` (type: `string`): Filing-date window end. Leave empty for today. ## `lookbackDays` (type: `integer`): When no explicit 'Date from' is given, scan filings from the last N days. Great for a daily monitor. ## `states` (type: `array`): Optional. Limit to filers whose business location is in these states (e.g. \['CA','NY']). Empty = all. ## `keyword` (type: `string`): Optional EDGAR full-text search term applied to the filings (e.g. a company name or industry word). ## `includeAmendments` (type: `boolean`): Funding: also include Form D/A (amendments — often follow-on closes). ## `industryFilter` (type: `array`): Funding: keep only Form D filings whose industry group contains one of these, e.g. \['Technology','Health Care','Manufacturing']. ## `excludeFunds` (type: `boolean`): Funding: drop 'Pooled Investment Fund' filings (PE/VC/hedge funds) so you keep operating-company raises. ## `minAmountSold` (type: `integer`): Funding: keep only raises where the amount already SOLD is at least this (USD). 0 = no minimum. ## `minAmountOffered` (type: `integer`): Funding: keep only offerings of at least this total (USD). 0 = no minimum. ## `fetchAmounts` (type: `boolean`): Funding: fetch each Form D's primary\_doc.xml to add amount offered/sold, industry, and named principals. Turn off for a faster, lighter run. ## `contactEmail` (type: `string`): SEC asks API users to identify themselves. Your email is added to the request User-Agent (recommended). ## `maxRecords` (type: `integer`): Hard cap on signals per run. Default 50 keeps runs fast (each Form D is enriched with a separate SEC fetch). Set 0 for no cap (a wide date range can be thousands of filings — give the run plenty of timeout). ## `monitorMode` (type: `boolean`): Recurring watcher: diff against the prior run (per filter scope) and output/alert ONLY new filings. Pair with an Apify Schedule. ## `alertOnNewSignal` (type: `boolean`): In monitor mode, send an alert for each new filing. ## `webhookUrl` (type: `string`): POST endpoint for new-signal alerts. ## `slackWebhookUrl` (type: `string`): Slack incoming-webhook URL. ## `emailRecipients` (type: `array`): Emails for the new-signal digest (via apify/send-mail). ## `proxyConfiguration` (type: `object`): Proxy settings. SEC EDGAR works best DIRECT (proxy OFF), identified by your contact email — SEC blocks rotating datacenter proxies, which silently returns 0 results. Leave proxy off unless you specifically need it. ## `diagnose` (type: `boolean`): Dev only. Logs one funding + one exec-change sample, then exits. ## Actor input object example ```json { "signalTypes": [ "funding", "exec_change" ], "lookbackDays": 7, "includeAmendments": false, "excludeFunds": true, "minAmountSold": 0, "minAmountOffered": 0, "fetchAmounts": true, "maxRecords": 50, "monitorMode": false, "alertOnNewSignal": true, "proxyConfiguration": { "useApifyProxy": false }, "diagnose": false } ``` # Actor output Schema ## `signals` (type: `string`): The dataset of funding & exec-change filings (one item per filing). # 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 = { "signalTypes": [ "funding", "exec_change" ] }; // Run the Actor and wait for it to finish const run = await client.actor("scrapersdelight/sec-edgar-gtm-monitor").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 = { "signalTypes": [ "funding", "exec_change", ] } # Run the Actor and wait for it to finish run = client.actor("scrapersdelight/sec-edgar-gtm-monitor").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 '{ "signalTypes": [ "funding", "exec_change" ] }' | apify call scrapersdelight/sec-edgar-gtm-monitor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapersdelight/sec-edgar-gtm-monitor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "SEC EDGAR Funding & Exec-Change Monitor — Form D, 8-K", "description": "Monitor SEC EDGAR for two high-value GTM intent signals: new Form D filings (a company just raised private capital — with amount, industry & named principals) and 8-K Item 5.02 (exec changes). Filter by state, industry & amount; schedule it for new-filing alerts via Slack, email or webhook.", "version": "0.1", "x-build-id": "w0c4OXQv4jgP3rgTv" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapersdelight~sec-edgar-gtm-monitor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapersdelight-sec-edgar-gtm-monitor", "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/scrapersdelight~sec-edgar-gtm-monitor/runs": { "post": { "operationId": "runs-sync-scrapersdelight-sec-edgar-gtm-monitor", "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/scrapersdelight~sec-edgar-gtm-monitor/run-sync": { "post": { "operationId": "run-sync-scrapersdelight-sec-edgar-gtm-monitor", "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": { "signalTypes": { "title": "Signal types", "type": "array", "description": "Which intent signals to collect. 'funding' = new Form D private raises; 'exec_change' = 8-K Item 5.02 officer/director changes.", "default": [ "funding", "exec_change" ], "items": { "type": "string" } }, "dateFrom": { "title": "Date from (YYYY-MM-DD)", "type": "string", "description": "Filing-date window start. Leave empty to use today minus 'Lookback days'." }, "dateTo": { "title": "Date to (YYYY-MM-DD)", "type": "string", "description": "Filing-date window end. Leave empty for today." }, "lookbackDays": { "title": "Lookback days", "minimum": 1, "type": "integer", "description": "When no explicit 'Date from' is given, scan filings from the last N days. Great for a daily monitor.", "default": 7 }, "states": { "title": "States (business location)", "type": "array", "description": "Optional. Limit to filers whose business location is in these states (e.g. ['CA','NY']). Empty = all.", "items": { "type": "string" } }, "keyword": { "title": "Keyword filter", "type": "string", "description": "Optional EDGAR full-text search term applied to the filings (e.g. a company name or industry word)." }, "includeAmendments": { "title": "Include Form D/A amendments", "type": "boolean", "description": "Funding: also include Form D/A (amendments — often follow-on closes).", "default": false }, "industryFilter": { "title": "Industry filter (funding)", "type": "array", "description": "Funding: keep only Form D filings whose industry group contains one of these, e.g. ['Technology','Health Care','Manufacturing'].", "items": { "type": "string" } }, "excludeFunds": { "title": "Exclude pooled investment funds", "type": "boolean", "description": "Funding: drop 'Pooled Investment Fund' filings (PE/VC/hedge funds) so you keep operating-company raises.", "default": true }, "minAmountSold": { "title": "Min amount sold (funding)", "minimum": 0, "type": "integer", "description": "Funding: keep only raises where the amount already SOLD is at least this (USD). 0 = no minimum.", "default": 0 }, "minAmountOffered": { "title": "Min amount offered (funding)", "minimum": 0, "type": "integer", "description": "Funding: keep only offerings of at least this total (USD). 0 = no minimum.", "default": 0 }, "fetchAmounts": { "title": "Fetch Form D amounts & principals", "type": "boolean", "description": "Funding: fetch each Form D's primary_doc.xml to add amount offered/sold, industry, and named principals. Turn off for a faster, lighter run.", "default": true }, "contactEmail": { "title": "Contact email (SEC User-Agent)", "type": "string", "description": "SEC asks API users to identify themselves. Your email is added to the request User-Agent (recommended)." }, "maxRecords": { "title": "Max records per run", "minimum": 0, "type": "integer", "description": "Hard cap on signals per run. Default 50 keeps runs fast (each Form D is enriched with a separate SEC fetch). Set 0 for no cap (a wide date range can be thousands of filings — give the run plenty of timeout).", "default": 50 }, "monitorMode": { "title": "Monitor mode (new-filing watcher)", "type": "boolean", "description": "Recurring watcher: diff against the prior run (per filter scope) and output/alert ONLY new filings. Pair with an Apify Schedule.", "default": false }, "alertOnNewSignal": { "title": "Alert on new signals", "type": "boolean", "description": "In monitor mode, send an alert for each new filing.", "default": true }, "webhookUrl": { "title": "Webhook URL", "type": "string", "description": "POST endpoint for new-signal alerts." }, "slackWebhookUrl": { "title": "Slack webhook URL", "type": "string", "description": "Slack incoming-webhook URL." }, "emailRecipients": { "title": "Email recipients", "type": "array", "description": "Emails for the new-signal digest (via apify/send-mail).", "items": { "type": "string" } }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "Proxy settings. SEC EDGAR works best DIRECT (proxy OFF), identified by your contact email — SEC blocks rotating datacenter proxies, which silently returns 0 results. Leave proxy off unless you specifically need it.", "default": { "useApifyProxy": false } }, "diagnose": { "title": "Diagnostic mode (dev)", "type": "boolean", "description": "Dev only. Logs one funding + one exec-change sample, then exits.", "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 } } } } } } } } } } ```