# SEC EDGAR Company Fundamentals Scraper (`chrisp1211/sec-edgar-scraper-max`) Actor Scrape SEC EDGAR filings and XBRL financial fundamentals for any US public company. Returns filings, financial statements, and key metrics by ticker or CIK. No API key. Pay per record; empty or failed runs cost nothing. - **URL**: https://apify.com/chrisp1211/sec-edgar-scraper-max.md - **Developed by:** [Christian Pichichero](https://apify.com/chrisp1211) (community) - **Categories:** Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $0.80 / 1,000 records 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 Company Fundamentals Scraper **SEC EDGAR Company Fundamentals Scraper** — a fast, reliable sec edgar scraper that needs **no API key**. You pay only for the results you get: failed or empty runs are always free. This sec edgar scraper runs on the [Apify platform](https://apify.com), so you can call it from the API, run it on a schedule, or export results to JSON, CSV, Excel, or Google Sheets. ### What this scraper does - Extracts structured **sec edgar** data with no browser or API key required - Returns clean JSON, one record per result — ready for sheets, databases, or apps - Pay-per-result pricing: you are never charged for a run that returns nothing - Runs on demand or on a schedule, and integrates with 5,000+ apps via the Apify API and webhooks ### What data you get Each result record includes fields such as: - **Cik** (`cik`) — e.g. `320193` - **Cik10** (`cik10`) — e.g. `"0000320193"` - **Ticker** (`ticker`) — e.g. `"AAPL"` - **Taxonomy** (`taxonomy`) — e.g. `"us-gaap"` - **Tag** (`tag`) — e.g. `"Revenues"` - **Label** (`label`) — e.g. `"Revenues"` - **Unit** (`unit`) — e.g. `"USD"` - **Value** (`value`) — e.g. `265595000000` - **Fiscal Year** (`fiscalYear`) — e.g. `2018` - **Fiscal Period** (`fiscalPeriod`) — e.g. `"FY"` - **Form** (`form`) — e.g. `"10-K"` - **Start Date** (`startDate`) — e.g. `"2017-10-01"` - **End Date** (`endDate`) — e.g. `"2018-09-29"` - **Filed Date** (`filedDate`) — e.g. `"2018-11-05"` - **Frame** (`frame`) — e.g. `"CY2018"` ### Input | Field | Type | Description | |---|---|---| | `tickers` | array | Stock ticker symbols to look up, e.g. AAPL, MSFT, NVDA. Resolved to a CIK via SEC's official ticker map. | | `ciks` | array | SEC Central Index Keys, with or without zero-padding, e.g. 320193 or CIK0000320193. Use instead of / alongs... | | `includeFilings` | boolean | Emit one record per recent filing (form, date, accession, primary document URL). | | `includeFundamentals` | boolean | Emit clean XBRL fundamental data points (deduped across restatements) for the selected tags. | | `fundamentalTags` | array | us-gaap / dei XBRL concept tags to extract, e.g. Revenues, NetIncomeLoss, Assets, StockholdersEquity. Defau... | | `filingForms` | array | Only keep filings whose form matches one of these, e.g. 10-K, 10-Q, 8-K. Empty = all forms. | | `maxFilings` | integer | Cap on recent filing records per company (default 50, max 1000). Set 0 to skip filings entirely. | | `fromYear` | integer | Only keep filings and fundamentals from this calendar/fiscal year or later, e.g. 2020. | | `userAgent` | string | Descriptive User-Agent SEC requires for automated access, e.g. "my-company-research you@example.com". A def... | ### Example output ```json { "type": "fundamental", "cik": 320193, "cik10": "0000320193", "ticker": "AAPL", "taxonomy": "us-gaap", "tag": "Revenues", "label": "Revenues", "unit": "USD", "value": 265595000000, "fiscalYear": 2018, "fiscalPeriod": "FY", "form": "10-K", "startDate": "2017-10-01", "endDate": "2018-09-29", "filedDate": "2018-11-05", "frame": "CY2018", "accession": "0000320193-18-000145", "scrapedAt": "2026-07-10T00:00:00Z" } ```` ### Use cases - Run market and competitor research - Enrich due-diligence and financial analysis - Feed dashboards and reporting pipelines - Power fintech and investment tools ### Run it as a monitor (alerts on new sec edgar) Schedule this sec edgar scraper to run automatically — hourly, daily, or on any cron schedule — with the built-in [Apify Scheduler](https://docs.apify.com/platform/schedules), and have results pushed to you by **webhook, email, Slack, or your own app** the moment they're ready. It's the easiest way to **monitor sec edgar for changes over time** and get alerted the instant something new appears — no manual runs. Because pricing is per result, a scheduled monitor only ever charges you for the data each run actually returns. ### Pricing This actor uses **pay-per-result** pricing at **$0.0008 per record**. There is no monthly fee and no start fee — and **empty or failed runs cost $0**, so you only ever pay for data you actually receive. ### Frequently asked questions **Do I need an API key or account for the source?** No. This sec edgar scraper works out of the box with no API key required. **What happens if a run returns no results?** You are not charged. Billing is per result, so empty or failed runs are free. **Can I run the sec edgar scraper on a schedule?** Yes. Use the Apify Scheduler to run it hourly, daily, or on any cron schedule, and get results by webhook or API. **What export formats are supported?** Results can be exported as JSON, CSV, Excel, HTML, or pushed to Google Sheets, a database, or your own app via the Apify API. **Is the data structured?** Yes. Every sec edgar result is a clean, flat JSON record you can use immediately. # Actor input Schema ## `tickers` (type: `array`): Stock ticker symbols to look up, e.g. AAPL, MSFT, NVDA. Resolved to a CIK via SEC's official ticker map. ## `ciks` (type: `array`): SEC Central Index Keys, with or without zero-padding, e.g. 320193 or CIK0000320193. Use instead of / alongside tickers. ## `includeFilings` (type: `boolean`): Emit one record per recent filing (form, date, accession, primary document URL). ## `includeFundamentals` (type: `boolean`): Emit clean XBRL fundamental data points (deduped across restatements) for the selected tags. ## `fundamentalTags` (type: `array`): us-gaap / dei XBRL concept tags to extract, e.g. Revenues, NetIncomeLoss, Assets, StockholdersEquity. Defaults to a core set when left empty. ## `filingForms` (type: `array`): Only keep filings whose form matches one of these, e.g. 10-K, 10-Q, 8-K. Empty = all forms. ## `maxFilings` (type: `integer`): Cap on recent filing records per company (default 50, max 1000). Set 0 to skip filings entirely. ## `fromYear` (type: `integer`): Only keep filings and fundamentals from this calendar/fiscal year or later, e.g. 2020. ## `userAgent` (type: `string`): Descriptive User-Agent SEC requires for automated access, e.g. "my-company-research you@example.com". A default is used if left blank. ## `maxCostUsd` (type: `integer`): HARD budget cap. The run stops cleanly before exceeding this. ## `proxyConfiguration` (type: `object`): SEC EDGAR is an open, automation-permitted API; no proxy needed. Default is fine. ## Actor input object example ```json { "tickers": [ "AAPL" ], "includeFilings": true, "includeFundamentals": true, "fundamentalTags": [ "Revenues", "NetIncomeLoss", "Assets", "Liabilities", "StockholdersEquity", "CashAndCashEquivalentsAtCarryingValue", "OperatingIncomeLoss", "EarningsPerShareDiluted" ], "maxFilings": 50, "proxyConfiguration": { "useApifyProxy": false } } ``` # 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 = { "tickers": [ "AAPL" ], "fundamentalTags": [ "Revenues", "NetIncomeLoss", "Assets", "Liabilities", "StockholdersEquity", "CashAndCashEquivalentsAtCarryingValue", "OperatingIncomeLoss", "EarningsPerShareDiluted" ], "proxyConfiguration": { "useApifyProxy": false } }; // Run the Actor and wait for it to finish const run = await client.actor("chrisp1211/sec-edgar-scraper-max").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 = { "tickers": ["AAPL"], "fundamentalTags": [ "Revenues", "NetIncomeLoss", "Assets", "Liabilities", "StockholdersEquity", "CashAndCashEquivalentsAtCarryingValue", "OperatingIncomeLoss", "EarningsPerShareDiluted", ], "proxyConfiguration": { "useApifyProxy": False }, } # Run the Actor and wait for it to finish run = client.actor("chrisp1211/sec-edgar-scraper-max").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 '{ "tickers": [ "AAPL" ], "fundamentalTags": [ "Revenues", "NetIncomeLoss", "Assets", "Liabilities", "StockholdersEquity", "CashAndCashEquivalentsAtCarryingValue", "OperatingIncomeLoss", "EarningsPerShareDiluted" ], "proxyConfiguration": { "useApifyProxy": false } }' | apify call chrisp1211/sec-edgar-scraper-max --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=chrisp1211/sec-edgar-scraper-max", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "SEC EDGAR Company Fundamentals Scraper", "description": "Scrape SEC EDGAR filings and XBRL financial fundamentals for any US public company. Returns filings, financial statements, and key metrics by ticker or CIK. No API key. Pay per record; empty or failed runs cost nothing.", "version": "0.1", "x-build-id": "BrU7DW7YpytRUNNGP" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/chrisp1211~sec-edgar-scraper-max/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-chrisp1211-sec-edgar-scraper-max", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/chrisp1211~sec-edgar-scraper-max/runs": { "post": { "operationId": "runs-sync-chrisp1211-sec-edgar-scraper-max", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/chrisp1211~sec-edgar-scraper-max/run-sync": { "post": { "operationId": "run-sync-chrisp1211-sec-edgar-scraper-max", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "tickers": { "title": "Tickers", "type": "array", "description": "Stock ticker symbols to look up, e.g. AAPL, MSFT, NVDA. Resolved to a CIK via SEC's official ticker map.", "items": { "type": "string" } }, "ciks": { "title": "CIKs (optional)", "type": "array", "description": "SEC Central Index Keys, with or without zero-padding, e.g. 320193 or CIK0000320193. Use instead of / alongside tickers.", "items": { "type": "string" } }, "includeFilings": { "title": "Include filings", "type": "boolean", "description": "Emit one record per recent filing (form, date, accession, primary document URL).", "default": true }, "includeFundamentals": { "title": "Include fundamentals", "type": "boolean", "description": "Emit clean XBRL fundamental data points (deduped across restatements) for the selected tags.", "default": true }, "fundamentalTags": { "title": "Fundamental tags", "type": "array", "description": "us-gaap / dei XBRL concept tags to extract, e.g. Revenues, NetIncomeLoss, Assets, StockholdersEquity. Defaults to a core set when left empty.", "items": { "type": "string" } }, "filingForms": { "title": "Filing form filter (optional)", "type": "array", "description": "Only keep filings whose form matches one of these, e.g. 10-K, 10-Q, 8-K. Empty = all forms.", "items": { "type": "string" } }, "maxFilings": { "title": "Max filings per company", "minimum": 0, "maximum": 1000, "type": "integer", "description": "Cap on recent filing records per company (default 50, max 1000). Set 0 to skip filings entirely.", "default": 50 }, "fromYear": { "title": "From year (optional)", "type": "integer", "description": "Only keep filings and fundamentals from this calendar/fiscal year or later, e.g. 2020." }, "userAgent": { "title": "User-Agent (recommended)", "type": "string", "description": "Descriptive User-Agent SEC requires for automated access, e.g. \"my-company-research you@example.com\". A default is used if left blank." }, "maxCostUsd": { "title": "Max cost per run (USD)", "minimum": 1, "type": "integer", "description": "HARD budget cap. The run stops cleanly before exceeding this." }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "SEC EDGAR is an open, automation-permitted API; no proxy needed. Default is fine.", "default": { "useApifyProxy": 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 } } } } } } } } } } ```