# Sec Esg Disclosure Scraper (`quarterly_jingo/sec-esg-disclosure-scraper`) Actor - **URL**: https://apify.com/quarterly\_jingo/sec-esg-disclosure-scraper.md - **Developed by:** [Petey Boy](https://apify.com/quarterly_jingo) (community) - **Categories:** Lead generation, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ESG & Climate Disclosure Scraper ### Overview Scrape SEC EDGAR filings for ESG, sustainability, and climate risk disclosures. Search 10-K, 10-Q, and 8-K filings by company, ticker, or keywords like 'climate risk', 'greenhouse gas', 'net zero'. Supports keyword search, filters (Filing Types, Start Date, End Date). ### Features - Search by keywords to find specific results - Filter results by category or type - Export data in JSON, CSV, or Excel formats - Control output volume with configurable result limits ### Use Cases - **Track** - Track federal government data releases and updates - **Build** - Build datasets for policy research and analysis - **Monitor** - Monitor regulatory changes and compliance requirements - **Aggregate** - Aggregate public government data for transparency projects ### Input Parameters | Parameter | Type | Description | Default | |-----------|------|-------------|---------| | `searchTerms` | array **(required)** | Keywords to search for in SEC filings (e.g., 'climate risk', 'ESG', 'sustaina... | `[...]` | | `companyName` | string | Search by company name (optional). Leave empty to search all companies. | | | `ticker` | string | Search by stock ticker symbol (e.g., AAPL, MSFT). Leave empty to search all c... | | | `cik` | string | Search by SEC Central Index Key (CIK) number. Leave empty to search all compa... | | | `filingTypes` | array | Types of SEC filings to search (10-K annual reports, 10-Q quarterly reports, ... | `["10-K", "10-Q"]` | | `startDate` | string | Start date for filing search (YYYY-MM-DD format) | `2024-01-01` | | `endDate` | string | End date for filing search (YYYY-MM-DD format) | `2024-12-31` | | `extractContent` | boolean | Whether to fetch and extract ESG-related text sections from the filing documents | true | | `maxItems` | integer | Maximum number of filings to return | `100` | | `userAgent` | string | Email address for SEC API User-Agent header (required by SEC) | `apify-scraper@example.com` | ### Output Example Each result contains structured data like this: ```json { "companyName": "SEC EDGAR ESG & Climate Disclosure Sample Item", "cik": "Sample cik", "ticker": "ACME", "filingType": "Sample filingType", "filingDate": "2025-01-15", "periodEnding": "Sample periodEnding", "accessionNumber": "LIC-2025-001", "description": "Detailed description of the item...", "sic": "Sample sic", "businessLocation": "Sample businessLocation", "stateOfIncorporation": "Sample stateOfIncorporation", "relevanceScore": 85.2 } ```` ### Pricing This actor uses pay-per-result pricing: - **$0.001** per result - **$1.00** per 1,000 results No monthly fees. You only pay for what you scrape. [Apify Free plan](https://apify.com/pricing) includes $5/month in platform credits. ### How to Run #### Apify Console 1. Go to the [SEC EDGAR ESG & Climate Disclosure Scraper](https://apify.com/fortuitous_pirate/sec-esg-disclosure-scraper) actor page 2. Configure your input parameters 3. Click **Start** and wait for the results 4. Download data in JSON, CSV, or Excel format #### API ```bash curl -X POST "https://api.apify.com/v2/acts/fortuitous_pirate~sec-esg-disclosure-scraper/runs?token=YOUR_API_TOKEN" \ -H "Content-Type: application/json" \ -d '{"maxItems": 10}' ``` #### Python SDK ```python from apify_client import ApifyClient client = ApifyClient("YOUR_API_TOKEN") run = client.actor("fortuitous_pirate/sec-esg-disclosure-scraper").call( run_input={"maxItems": 10} ) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) ``` ### Integration Connect SEC EDGAR ESG & Climate Disclosure Scraper with your existing tools and workflows: - **API access** - Programmatic access via [Apify API](https://docs.apify.com/api/v2) - **Webhooks** - Get notified when scraping completes - **Scheduling** - Set up recurring runs on any schedule - **Zapier / Make** - Connect with 5,000+ apps via [Apify integrations](https://apify.com/integrations) - **Python / Node.js SDKs** - Native client libraries for easy integration # Actor input Schema ## `searchTerms` (type: `array`): Keywords to search for in SEC filings (e.g., 'climate risk', 'ESG', 'sustainability', 'greenhouse gas', 'net zero'). Multiple terms will be searched independently. ## `companyName` (type: `string`): Search by company name (optional). Leave empty to search all companies. ## `ticker` (type: `string`): Search by stock ticker symbol (e.g., AAPL, MSFT). Leave empty to search all companies. ## `cik` (type: `string`): Search by SEC Central Index Key (CIK) number. Leave empty to search all companies. ## `filingTypes` (type: `array`): Types of SEC filings to search (10-K annual reports, 10-Q quarterly reports, 8-K current reports) ## `startDate` (type: `string`): Start date for filing search (YYYY-MM-DD format) ## `endDate` (type: `string`): End date for filing search (YYYY-MM-DD format) ## `extractContent` (type: `boolean`): Whether to fetch and extract ESG-related text sections from the filing documents ## `maxItems` (type: `integer`): Maximum number of filings to return ## `userAgent` (type: `string`): Email address for SEC API User-Agent header (required by SEC) ## Actor input object example ```json { "searchTerms": [ "climate risk", "ESG", "sustainability" ], "filingTypes": [ "10-K", "10-Q" ], "startDate": "2024-01-01", "endDate": "2024-12-31", "extractContent": true, "maxItems": 10, "userAgent": "apify-scraper@example.com" } ``` # 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("quarterly_jingo/sec-esg-disclosure-scraper").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("quarterly_jingo/sec-esg-disclosure-scraper").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 quarterly_jingo/sec-esg-disclosure-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=quarterly_jingo/sec-esg-disclosure-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Sec Esg Disclosure Scraper", "description": "", "version": "1.0", "x-build-id": "tRLy0fcx3ZwLK5FFo" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/quarterly_jingo~sec-esg-disclosure-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-quarterly_jingo-sec-esg-disclosure-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/quarterly_jingo~sec-esg-disclosure-scraper/runs": { "post": { "operationId": "runs-sync-quarterly_jingo-sec-esg-disclosure-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/quarterly_jingo~sec-esg-disclosure-scraper/run-sync": { "post": { "operationId": "run-sync-quarterly_jingo-sec-esg-disclosure-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "searchTerms" ], "properties": { "searchTerms": { "title": "Search Terms", "type": "array", "description": "Keywords to search for in SEC filings (e.g., 'climate risk', 'ESG', 'sustainability', 'greenhouse gas', 'net zero'). Multiple terms will be searched independently.", "default": [ "climate risk", "ESG", "sustainability" ], "items": { "type": "string" } }, "companyName": { "title": "Company Name", "type": "string", "description": "Search by company name (optional). Leave empty to search all companies." }, "ticker": { "title": "Stock Ticker", "type": "string", "description": "Search by stock ticker symbol (e.g., AAPL, MSFT). Leave empty to search all companies." }, "cik": { "title": "CIK Number", "type": "string", "description": "Search by SEC Central Index Key (CIK) number. Leave empty to search all companies." }, "filingTypes": { "title": "Filing Types", "type": "array", "description": "Types of SEC filings to search (10-K annual reports, 10-Q quarterly reports, 8-K current reports)", "default": [ "10-K", "10-Q" ], "items": { "type": "string" } }, "startDate": { "title": "Start Date", "type": "string", "description": "Start date for filing search (YYYY-MM-DD format)", "default": "2024-01-01" }, "endDate": { "title": "End Date", "type": "string", "description": "End date for filing search (YYYY-MM-DD format)", "default": "2024-12-31" }, "extractContent": { "title": "Extract ESG Content", "type": "boolean", "description": "Whether to fetch and extract ESG-related text sections from the filing documents", "default": true }, "maxItems": { "title": "Maximum Items", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of filings to return", "default": 10 }, "userAgent": { "title": "User Agent Email", "type": "string", "description": "Email address for SEC API User-Agent header (required by SEC)", "default": "apify-scraper@example.com" } } }, "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 } } } } } } } } } } ```