# Stock Analysis Scraper (`crawlerbros/stock-analysis-scraper`) Actor Scrape stockanalysis.com for stock financials, ETF data, IPO calendar, and stock lists. Extracts embedded Next.js JSON data for complete financial metrics including revenue, earnings, PE ratio, and more. - **URL**: https://apify.com/crawlerbros/stock-analysis-scraper.md - **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community) - **Categories:** Automation, Developer tools, Integrations - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ## Stock Analysis Scraper Extract comprehensive financial data from [stockanalysis.com](https://stockanalysis.com) — one of the most popular free financial data platforms. Scrape stock overviews, income statements, balance sheets, cash flow statements, ETF data, IPO calendars, and curated stock lists. ### What This Actor Does - **Stock Overview** — Revenue, earnings, P/E ratio, market cap, sector, analyst ratings, and 20+ other metrics for any stock. - **Financial Statements** — Income statement, balance sheet, or cash flow statement — annual or quarterly. - **ETF Overview** — ETF details including expense ratio, AUM, top holdings, and performance data. - **IPO Calendar** — Upcoming and recent IPOs with offer prices, amounts raised, and exchange info. - **Stock List** — Browse stocks by market cap (large, mid, small, micro) or exchange (NYSE, NASDAQ, AMEX). ### Output Fields #### Stock Overview | Field | Description | |---|---| | `ticker` | Stock ticker symbol | | `name` | Company name | | `description` | Company description | | `sector` | Market sector | | `industry` | Industry classification | | `country` | Country of incorporation | | `exchange` | Stock exchange | | `price` | Current stock price | | `marketCap` | Market capitalization (USD) | | `revenue` | Annual revenue (USD) | | `netIncome` | Annual net income (USD) | | `peRatio` | Price-to-earnings ratio | | `eps` | Earnings per share | | `dividendYield` | Dividend yield % | | `beta` | Market risk measure | | `high52w` | 52-week high | | `low52w` | 52-week low | | `analystRating` | Analyst consensus rating | | `priceTarget` | Analyst price target | | `earningsDate` | Next earnings date | | `ipoDate` | IPO date | | `employees` | Number of employees | | `stockUrl` | Link to stockanalysis.com page | #### Financial Statements | Field | Description | |---|---| | `ticker` | Stock ticker | | `period` | annual or quarterly | | `statementType` | income-statement, balance-sheet, or cash-flow-statement | | `date` | Reporting period date | | `revenue` | Total revenue | | `netIncome` | Net income | | `eps` | Earnings per share | | `ebitda` | EBITDA | | `grossProfit` | Gross profit | ### Input Parameters #### Mode: stockOverview (default) ```json { "mode": "stockOverview", "ticker": "AAPL" } ```` Batch mode with multiple tickers: ```json { "mode": "stockOverview", "tickers": ["AAPL", "MSFT", "GOOGL", "AMZN"], "maxItems": 100 } ``` #### Mode: financials ```json { "mode": "financials", "ticker": "AAPL", "financialType": "income-statement", "period": "annual" } ``` Options for `financialType`: `income-statement`, `balance-sheet`, `cash-flow-statement` Options for `period`: `annual`, `quarterly` #### Mode: etfOverview ```json { "mode": "etfOverview", "ticker": "SPY" } ``` #### Mode: ipoCalendar ```json { "mode": "ipoCalendar", "ipoStatus": "upcoming", "maxItems": 50 } ``` Options for `ipoStatus`: `upcoming`, `recent`, `all` #### Mode: stockList ```json { "mode": "stockList", "stockListType": "large-cap", "maxItems": 100 } ``` Options for `stockListType`: `all-stocks`, `large-cap`, `mid-cap`, `small-cap`, `micro-cap`, `nasdaq`, `nyse`, `amex` ### Example Output (stockOverview) ```json { "ticker": "AAPL", "name": "Apple Inc.", "sector": "Technology", "industry": "Consumer Electronics", "country": "USA", "exchange": "NASDAQ", "price": 150.25, "marketCap": 2850000000000, "revenue": 394300000000, "netIncome": 99800000000, "peRatio": 28.5, "eps": 6.13, "analystRating": "Buy", "stockUrl": "https://stockanalysis.com/stocks/aapl/", "recordType": "stockOverview", "scrapedAt": "2026-06-01T12:00:00+00:00" } ``` ### Use Cases - **Fundamental Analysis** — Compare P/E ratios, revenue growth, and margins across companies - **Portfolio Research** — Quickly gather key metrics for your watchlist - **Financial Modeling** — Feed historical financial statement data into models - **IPO Tracking** — Monitor upcoming and recent IPO activity - **ETF Research** — Compare expense ratios, AUM, and holdings across ETFs - **Screener Supplement** — Enrich stock screener results with detailed financials ### FAQ **Q: How many records can I scrape?** A: Up to 1,000 per run. For stock overview and financials, you can batch multiple tickers in one run. **Q: Is the financial data real-time?** A: Stock Analysis.com uses delayed quotes for prices. Financial statement data reflects the most recently reported periods. **Q: Can I get 10 years of historical financials?** A: Yes, the financials mode returns all available historical data from the page. **Q: Are ETFs supported?** A: Yes, use the `etfOverview` mode with any ETF ticker (SPY, QQQ, etc.). # Actor input Schema ## `mode` (type: `string`): What to scrape. ## `ticker` (type: `string`): Stock or ETF ticker symbol (e.g. AAPL, SPY). Required for stockOverview, financials, and etfOverview modes. ## `tickers` (type: `array`): List of stock/ETF ticker symbols to process in batch (for stockOverview and financials modes). ## `financialType` (type: `string`): Which financial statement to fetch (financials mode). ## `period` (type: `string`): Annual or quarterly reporting period. ## `ipoStatus` (type: `string`): Filter IPOs by status (ipoCalendar mode). ## `stockListType` (type: `string`): Which stock list to browse (stockList mode). ## `maxItems` (type: `integer`): Maximum number of records to return. ## Actor input object example ```json { "mode": "stockOverview", "ticker": "AAPL", "tickers": [], "financialType": "income-statement", "period": "annual", "ipoStatus": "all", "stockListType": "large-cap", "maxItems": 50 } ``` # Actor output Schema ## `results` (type: `string`): Dataset containing all scraped stock analysis records. # 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 = { "mode": "stockOverview", "ticker": "AAPL", "tickers": [], "financialType": "income-statement", "period": "annual", "ipoStatus": "all", "stockListType": "large-cap", "maxItems": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("crawlerbros/stock-analysis-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 = { "mode": "stockOverview", "ticker": "AAPL", "tickers": [], "financialType": "income-statement", "period": "annual", "ipoStatus": "all", "stockListType": "large-cap", "maxItems": 50, } # Run the Actor and wait for it to finish run = client.actor("crawlerbros/stock-analysis-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 '{ "mode": "stockOverview", "ticker": "AAPL", "tickers": [], "financialType": "income-statement", "period": "annual", "ipoStatus": "all", "stockListType": "large-cap", "maxItems": 50 }' | apify call crawlerbros/stock-analysis-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crawlerbros/stock-analysis-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Stock Analysis Scraper", "description": "Scrape stockanalysis.com for stock financials, ETF data, IPO calendar, and stock lists. Extracts embedded Next.js JSON data for complete financial metrics including revenue, earnings, PE ratio, and more.", "version": "1.0", "x-build-id": "juojtAHz8Sa6kZKuu" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawlerbros~stock-analysis-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawlerbros-stock-analysis-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crawlerbros~stock-analysis-scraper/runs": { "post": { "operationId": "runs-sync-crawlerbros-stock-analysis-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crawlerbros~stock-analysis-scraper/run-sync": { "post": { "operationId": "run-sync-crawlerbros-stock-analysis-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "mode" ], "properties": { "mode": { "title": "Mode", "enum": [ "stockOverview", "financials", "etfOverview", "ipoCalendar", "stockList" ], "type": "string", "description": "What to scrape.", "default": "stockOverview" }, "ticker": { "title": "Ticker symbol", "type": "string", "description": "Stock or ETF ticker symbol (e.g. AAPL, SPY). Required for stockOverview, financials, and etfOverview modes." }, "tickers": { "title": "Multiple tickers", "type": "array", "description": "List of stock/ETF ticker symbols to process in batch (for stockOverview and financials modes).", "default": [], "items": { "type": "string" } }, "financialType": { "title": "Financial statement type", "enum": [ "income-statement", "balance-sheet", "cash-flow-statement" ], "type": "string", "description": "Which financial statement to fetch (financials mode).", "default": "income-statement" }, "period": { "title": "Reporting period", "enum": [ "annual", "quarterly" ], "type": "string", "description": "Annual or quarterly reporting period.", "default": "annual" }, "ipoStatus": { "title": "IPO status", "enum": [ "upcoming", "recent", "all" ], "type": "string", "description": "Filter IPOs by status (ipoCalendar mode).", "default": "all" }, "stockListType": { "title": "Stock list type", "enum": [ "all-stocks", "large-cap", "mid-cap", "small-cap", "micro-cap", "nasdaq", "nyse", "amex" ], "type": "string", "description": "Which stock list to browse (stockList mode).", "default": "large-cap" }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of records to return.", "default": 50 } } }, "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 } } } } } } } } } } ```