# SEC EDGAR Full-Text Search & Monitor (`foo121/sec-fulltext-monitor`) Actor Search and monitor ALL SEC EDGAR filings by keyword, form type and date range. Returns company, form, filing date and document link per hit. - **URL**: https://apify.com/foo121/sec-fulltext-monitor.md - **Developed by:** [ziv shay](https://apify.com/foo121) (community) - **Categories:** Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $5.00 / 1,000 result items 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 Full-Text Search & Monitor **SEC full-text search across all SEC filings by keyword — a SEC filing keyword monitor powered by the official SEC EDGAR full-text search API, returning every filing that mentions your term.** Built for hedge funds, IR teams, compliance, and journalists who need to search all SEC filings for a keyword — a competitor's name, "data breach", "going concern", a product, a person — and get back a structured list of every matching filing. Schedule it and it becomes a SEC filing keyword monitor that surfaces new hits as companies file. Data comes from the **official SEC EDGAR full-text search API** — **no API key required**. This actor runs SEC full-text search over **all filings**, then maps each hit to its company, form, filing date, CIK, accession number, and a constructed filing URL. ### What you get | Field | Description | |-------|-------------| | `query` | The keyword query that produced this hit | | `form` | Form type of the matching filing (e.g. "8-K", "10-K") | | `company` | Company name on the filing | | `cik` | SEC Central Index Key of the filer | | `filedAt` | Filing date of the matching filing | | `accessionNumber` | SEC accession number for the filing | | `fileUrl` | Constructed link to the filing | ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `query` | string (**required**) | `"data breach"` | Keyword or phrase to search across all SEC filings | | `forms` | array | `[]` | Restrict to specific form types (empty = all forms) | | `startDate` | string (YYYY-MM-DD) | _(optional)_ | Earliest filing date | | `endDate` | string (YYYY-MM-DD) | _(optional)_ | Latest filing date | | `maxItems` | integer | `200` | Maximum number of matching filings to return | #### Example input ```json { "query": "data breach", "forms": ["8-K", "10-K"], "startDate": "2025-01-01", "endDate": "2025-06-01", "maxItems": 200 } ```` ### Example run output ```json { "query": "data breach", "form": "8-K", "company": "Acme Software Inc.", "cik": "0001234567", "filedAt": "2025-04-22", "accessionNumber": "0001234567-25-000045", "fileUrl": "https://www.sec.gov/Archives/edgar/data/1234567/000123456725000045/0001234567-25-000045-index.htm" } ``` ### Use cases - **Hedge funds** — run SEC full-text search for catalysts, risk language, or named entities across all filings before they hit the news. - **IR teams** — set up a SEC filing keyword monitor on competitor names, products, or your own company's mentions. - **Compliance teams** — search all SEC filings for risk terms ("data breach", "material weakness", "going concern") across your universe. - **Journalists** — surface every filing that mentions a person, company, or phrase, with direct links to the source documents. ### vs AlphaSense and other enterprise filing-search platforms Enterprise filing-search platforms like AlphaSense are seat-licensed at enterprise prices. This actor gives you **SEC full-text search across all SEC filings**, pay-per-result, with **no seat license** — point it at a keyword and pull every matching filing. **Honest caveat:** there is no NLP, sentiment, or smart-synonym layer here — it is the **raw keyword-hit feed** straight from SEC's full-text search index. If you want analyst-grade semantic search, this complements it; if you just need a fast, cheap SEC filing keyword monitor, this is it. ### Pricing Pay per result — you are billed only for the matching filings returned to your dataset. ### Keywords SEC full-text search, SEC filing keyword monitor, search all SEC filings, SEC EDGAR full-text search, SEC filing search API, EDGAR keyword search, filing alert monitor, 8-K keyword search, SEC filings monitor, full-text filing search # Actor input Schema ## `query` (type: `string`): Keyword or phrase to search for across the full text of all SEC EDGAR filings. Wrap an exact phrase in double quotes, e.g. "data breach". ## `forms` (type: `array`): Optional list of SEC form types to restrict the search to, e.g. 8-K, 10-K, 10-Q, S-1, DEF 14A. Leave empty for all forms. ## `startDate` (type: `string`): Optional earliest filing date (YYYY-MM-DD). EDGAR full-text search covers filings from 2001 onward. ## `endDate` (type: `string`): Optional latest filing date (YYYY-MM-DD). ## `maxItems` (type: `integer`): Maximum number of filing hits to output. ## Actor input object example ```json { "query": "\"data breach\"", "forms": [], "maxItems": 200 } ``` # 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 = { "query": "\"data breach\"" }; // Run the Actor and wait for it to finish const run = await client.actor("foo121/sec-fulltext-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 = { "query": "\"data breach\"" } # Run the Actor and wait for it to finish run = client.actor("foo121/sec-fulltext-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 '{ "query": "\\"data breach\\"" }' | apify call foo121/sec-fulltext-monitor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=foo121/sec-fulltext-monitor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "SEC EDGAR Full-Text Search & Monitor", "description": "Search and monitor ALL SEC EDGAR filings by keyword, form type and date range. Returns company, form, filing date and document link per hit.", "version": "1.0", "x-build-id": "xOXkcyFn5TV1zqtJ1" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/foo121~sec-fulltext-monitor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-foo121-sec-fulltext-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/foo121~sec-fulltext-monitor/runs": { "post": { "operationId": "runs-sync-foo121-sec-fulltext-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/foo121~sec-fulltext-monitor/run-sync": { "post": { "operationId": "run-sync-foo121-sec-fulltext-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "query" ], "properties": { "query": { "title": "Search query", "type": "string", "description": "Keyword or phrase to search for across the full text of all SEC EDGAR filings. Wrap an exact phrase in double quotes, e.g. \"data breach\"." }, "forms": { "title": "Form types", "type": "array", "description": "Optional list of SEC form types to restrict the search to, e.g. 8-K, 10-K, 10-Q, S-1, DEF 14A. Leave empty for all forms.", "default": [], "items": { "type": "string" } }, "startDate": { "title": "Start date", "type": "string", "description": "Optional earliest filing date (YYYY-MM-DD). EDGAR full-text search covers filings from 2001 onward." }, "endDate": { "title": "End date", "type": "string", "description": "Optional latest filing date (YYYY-MM-DD)." }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of filing hits to output.", "default": 200 } } }, "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 } } } } } } } } } } ```