# SEC Litigation Releases — Enforcement Tracker (`nexgendata/sec-litigation-releases`) Actor - **URL**: https://apify.com/nexgendata/sec-litigation-releases.md - **Developed by:** [NexGenData](https://apify.com/nexgendata) (community) - **Categories:** Business, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $100.00 / 1,000 releases 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 Litigation Releases — Enforcement Tracker Real-time scraper for the U.S. Securities and Exchange Commission's **litigation releases** — the official announcements of civil enforcement actions, complaints, consent judgments, and final judgments filed by the SEC against companies and individuals. Built for **equity research analysts**, **compliance and AML teams**, **M&A and PR firms**, and **legal-tech / regulatory monitoring platforms** who need clean, structured access to SEC enforcement activity without hand-scraping the SEC website. Data covers `Securities and Exchange Commission v. …` actions across all SEC regional offices, including securities fraud cases, insider trading charges, investment-adviser violations, Ponzi-scheme prosecutions, FCPA cases, market-manipulation actions, and accounting-fraud cases. ### What it does - Crawls the SEC litigation-releases index at `sec.gov/enforcement-litigation/litigation-releases` - Filters by year range (SEC publishes releases from ~1995 onwards) - Optional case-insensitive keyword filter on title + summary - For each release, fetches the full release page and extracts: release number, date, case caption, descriptive title, defendant list, body excerpt, and the linked complaint / judgment PDF The actor sends the SEC-required User-Agent on every request and self-throttles below the SEC's published 10 req/sec rate limit. ### Use cases - **Compliance & AML monitoring** — daily / weekly sweep of new SEC enforcement actions, joined against your customer or counter-party list to flag named defendants in new complaints, settlements, or final judgments. - **Equity research & event-driven trading** — track SEC charges against public companies and their executives, feed into news-event databases for backtesting or alpha generation. - **PR firms & M&A bankers** — early signal on reputational events for prospective targets and clients; identify companies under active SEC enforcement before they hit mainstream press. - **Legal-tech & regulatory platforms** — enrich case databases with structured SEC enforcement metadata and the URLs of underlying complaints and judgments. ### Input | Field | Type | Default | Description | | ----------------- | ------- | ------- | ----------------------------------------------------------------- | | `yearStart` | integer | 2026 | Earliest year of releases to fetch (SEC publishes from ~1995). | | `yearEnd` | integer | 2026 | Most recent year of releases to fetch. | | `maxReleases` | integer | 50 | Hard cap on total releases returned across the year range. | | `keywordFilter` | string | "" | Optional case-insensitive substring filter on title + summary. | ### Output schema Each dataset item: ```json { "release_number": "LR-26557", "date_published": "2026-05-21", "title": "SEC Obtains Final Consent Judgment as to former Alabama Investment Adviser", "defendants": ["Daughtry"], "summary_excerpt": "On May 20, 2026, the United States District Court for the Middle District of Alabama entered a final consent judgment against James Blake Daughtry...", "action_type": "final-judgment", "complaint_url": "https://www.sec.gov/files/litigation/litreleases/2026/judg26557.pdf", "source_url": "https://www.sec.gov/enforcement-litigation/litigation-releases/lr-26557", "scraped_at": "2026-05-28T12:00:00Z" } ```` #### Field notes - `release_number` — SEC litigation release identifier (`LR-NNNNN`). - `date_published` — ISO date (`YYYY-MM-DD`) from the SEC publish-date field. - `title` — descriptive title of the action. - `defendants` — parsed from the case caption (`SEC v. …`); falls back to the page heading. - `summary_excerpt` — first 500 characters of the release body. - `action_type` — heuristic label derived from the title: `complaint`, `settlement`, `final-judgment`, or `other`. - `complaint_url` — first linked complaint / judgment PDF (the underlying court filing). - `source_url` — canonical SEC URL for the release (always populated). - `scraped_at` — UTC ISO timestamp of the scrape. ### Compliance / source-risk - Data source: public SEC website. SEC explicitly invites programmatic access provided requests include a contact `User-Agent`. - This actor sends `User-Agent: NexGenData hello@nexgendata.com` on every request and stays well under the SEC's published 10 req/sec ceiling. - The actor scrapes only material the SEC publishes itself — no PII beyond what already appears in public legal filings. ### Sample Output # Actor input Schema ## `yearStart` (type: `integer`): Earliest year of releases to fetch (SEC publishes from ~1995). ## `yearEnd` (type: `integer`): Most recent year of releases to fetch. ## `maxReleases` (type: `integer`): Hard cap on total releases returned across the year range. ## `keywordFilter` (type: `string`): Only return releases whose title or summary contains this case-insensitive substring. Leave blank to disable. ## Actor input object example ```json { "yearStart": 2026, "yearEnd": 2026, "maxReleases": 50 } ``` # 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 = { "yearStart": 2026, "yearEnd": 2026, "maxReleases": 50, "keywordFilter": "" }; // Run the Actor and wait for it to finish const run = await client.actor("nexgendata/sec-litigation-releases").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 = { "yearStart": 2026, "yearEnd": 2026, "maxReleases": 50, "keywordFilter": "", } # Run the Actor and wait for it to finish run = client.actor("nexgendata/sec-litigation-releases").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 '{ "yearStart": 2026, "yearEnd": 2026, "maxReleases": 50, "keywordFilter": "" }' | apify call nexgendata/sec-litigation-releases --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nexgendata/sec-litigation-releases", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "SEC Litigation Releases — Enforcement Tracker", "version": "0.0", "x-build-id": "gG3IoWj1ja1G2qRfk" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nexgendata~sec-litigation-releases/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nexgendata-sec-litigation-releases", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nexgendata~sec-litigation-releases/runs": { "post": { "operationId": "runs-sync-nexgendata-sec-litigation-releases", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nexgendata~sec-litigation-releases/run-sync": { "post": { "operationId": "run-sync-nexgendata-sec-litigation-releases", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "yearStart": { "title": "Start Year", "minimum": 1995, "type": "integer", "description": "Earliest year of releases to fetch (SEC publishes from ~1995)." }, "yearEnd": { "title": "End Year", "type": "integer", "description": "Most recent year of releases to fetch." }, "maxReleases": { "title": "Max Releases", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Hard cap on total releases returned across the year range." }, "keywordFilter": { "title": "Keyword Filter (optional)", "type": "string", "description": "Only return releases whose title or summary contains this case-insensitive substring. Leave blank to disable." } } }, "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 } } } } } } } } } } ```