# SEC Going-Concern Company Leads Scraper (`gocreative.ai/sec-going-concern-leads`) Actor Scrapes US public companies flagged with a going-concern doubt straight from SEC EDGAR. Returns name, CIK, filing date, form type, industry, ticker, and the filing URL — primary-source financial-distress leads for restructuring, distressed-debt, and RegTech. Keyless, pay per result. - **URL**: https://apify.com/gocreative.ai/sec-going-concern-leads.md - **Developed by:** [GoCreative AI](https://apify.com/gocreative.ai) (community) - **Categories:** Business, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $8.00 / 1,000 leads 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 Going-Concern Company Scraper — Distressed & Restructuring Leads, Pay Per Result ### 📊 Example output (real run) ![Sample output](https://api.apify.com/v2/key-value-stores/1ztQFHwG8acESTazI/records/sec-going-concern-leads-sample) A real record from a live run — clean structured data, exported as CSV / JSON / Excel or via API. Pull **US public companies flagged with a going-concern doubt in their SEC filings** — straight from EDGAR, the official regulator source. Search by keyword or scan recent 10-K/10-Q filings and get clean, structured records with company name, CIK, filing date, form type, state of incorporation, SIC/industry, ticker, and the direct EDGAR filing URL. **Keyless. No signup. No sales call. Pay per result.** Built for **restructuring advisors, distressed-debt and special-situations investors, turnaround consultants, litigation-finance and RegTech teams** — no seat license, no credit plan, no gated dashboard. > **Where this fits:** this is primary-source **financial-distress intent** — a data shape the seat-based lead databases (Apollo, ZoomInfo, Lusha) don't sell per call. Every record is a *regulated, verifiable* filer with a CIK you can cross-reference against EDGAR, not a scraped guess. ### What you get Every record returned by a live run (fields verified against real output): | Field | Description | |-------|-------------| | `company_name` | Registered filer name (with ticker + CIK where disclosed) | | `cik` | SEC Central Index Key | | `filing_date` | Date the flagged filing was submitted | | `period_of_report` | Fiscal period covered | | `form_type` | SEC form (10-K, 10-Q, etc.) | | `biz_location` | Business address / location | | `state_of_inc` | State of incorporation | | `filing_url` | Direct link to the source filing on EDGAR | | `edgar_company_url` | EDGAR company profile page | | `sic_code` / `industry` | SEC industry classification | | `phone` | Company phone (where disclosed) | | `ticker` / `exchange` | Trading symbol + exchange | | `website` | Company website (where disclosed) | ### Why this over a generic lead database - **Primary source, not resold.** Pulled live from SEC EDGAR — the authoritative record — not a stale third-party copy. - **Buying-signal built in.** A going-concern flag is a hard financial-distress event. This is *timing* intelligence, not just a contact. - **Keyless & pay-per-result.** No subscription, no seat minimum, no "contact sales." Run it, pay for the rows you get. - **Pipeline-ready.** Clean JSON/CSV/Excel export straight into your CRM, model, or outreach tool. ### Example use cases - **Distressed-debt / special situations** — surface issuers signaling solvency risk before the market fully reprices. - **Restructuring & turnaround advisory** — build a live target list of companies that need your services *now*. - **Litigation finance & audit** — track going-concern disclosures across a sector or time window. - **RegTech & risk monitoring** — feed a counterparty/vendor risk model with fresh distress signals. ### Input Point it at a keyword or filing scope and set how many results you want. See the input schema tab for all options. ### Output Structured rows (schema above), exportable as JSON, CSV, or Excel, or pulled straight from the dataset API. ### Notes & disclaimer Data is scraped from public SEC EDGAR filings for lead-generation and research support. Some optional fields are blank when the source filing does not disclose them. Verify a company's current status against the primary filing before acting. This tool surfaces public disclosures; it is not investment or legal advice. # Actor input Schema ## `startDate` (type: `string`): Earliest filing date YYYY-MM-DD ## `endDate` (type: `string`): Latest filing date YYYY-MM-DD ## `maxResults` (type: `integer`): Max companies to return ## `enrichWithDetails` (type: `boolean`): Fetch SIC code, phone, ticker, website from EDGAR ## Actor input object example ```json { "startDate": "2024-01-01", "endDate": "2024-12-31", "maxResults": 200, "enrichWithDetails": true } ```` # Actor output Schema # 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("gocreative.ai/sec-going-concern-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("gocreative.ai/sec-going-concern-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 gocreative.ai/sec-going-concern-leads --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=gocreative.ai/sec-going-concern-leads", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "SEC Going-Concern Company Leads Scraper", "description": "Scrapes US public companies flagged with a going-concern doubt straight from SEC EDGAR. Returns name, CIK, filing date, form type, industry, ticker, and the filing URL — primary-source financial-distress leads for restructuring, distressed-debt, and RegTech. Keyless, pay per result.", "version": "0.1", "x-build-id": "M72Om4FaQjf83ChfO" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/gocreative.ai~sec-going-concern-leads/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-gocreative.ai-sec-going-concern-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/gocreative.ai~sec-going-concern-leads/runs": { "post": { "operationId": "runs-sync-gocreative.ai-sec-going-concern-leads", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/gocreative.ai~sec-going-concern-leads/run-sync": { "post": { "operationId": "run-sync-gocreative.ai-sec-going-concern-leads", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "startDate": { "title": "Start Date", "type": "string", "description": "Earliest filing date YYYY-MM-DD", "default": "2024-01-01" }, "endDate": { "title": "End Date", "type": "string", "description": "Latest filing date YYYY-MM-DD", "default": "2024-12-31" }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 500, "type": "integer", "description": "Max companies to return", "default": 200 }, "enrichWithDetails": { "title": "Enrich With Details", "type": "boolean", "description": "Fetch SIC code, phone, ticker, website from EDGAR", "default": true } } }, "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 } } } } } } } } } } ```