# Yahoo Finance Fundamentals Scraper - Stocks & Financials (`haketa/yahoo-finance-fundamentals-scraper`) Actor Yahoo Finance fundamentals scraper & API: export income statement, balance sheet & cash flow (annual & quarterly), key stats, valuation ratios (P/E, PEG, EV/EBITDA), margins, analyst price targets, dividends and live quotes for stocks, ETFs & crypto โ€” fast, no login, no API key. - **URL**: https://apify.com/haketa/yahoo-finance-fundamentals-scraper.md - **Developed by:** [Haketa](https://apify.com/haketa) (community) - **Categories:** Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.60 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 ## Yahoo Finance Fundamentals Scraper ๐Ÿ“ˆ โ€” Statements, Ratios & Quotes Pull **company fundamentals from Yahoo Finance** as clean, structured JSON โ€” **income statement, balance sheet and cash flow** (annual & quarterly), plus **key statistics, valuation ratios, analyst price targets and live quotes** โ€” for **stocks, ETFs, indices, crypto and FX**, worldwide. Built API-first for **reliability and speed** (no fragile page-rendering), with automatic session handling and proxy rotation so it keeps working at scale. > ๐Ÿ’ก **Why this actor?** Most "Yahoo Finance" scrapers only return prices, or wrap a library that breaks when Yahoo rotates its auth. This one delivers **complete financial statements + valuation + analyst data** in one normalized record, and is engineered to survive Yahoo's auth/rate-limit gating. --- ### ๐Ÿ“‹ Table of contents - [What does it do?](#what-does-it-do) - [Use cases](#use-cases) - [How to use it](#how-to-use-it-step-by-step) - [Input parameters](#input-parameters) - [Input examples](#input-examples) - [Output โ€” data fields](#output--data-fields) - [Sample output record](#sample-output-record) - [Coverage](#coverage) - [Tips & best practices](#tips--best-practices) - [Frequently asked questions](#frequently-asked-questions) - [Changelog](#changelog) --- ### What does it do? Give it tickers (or pick a screener) and it returns, per symbol: - ๐Ÿงพ **Financial statements** โ€” income statement, balance sheet, cash flow (annual + quarterly), with normalized field names. - ๐Ÿ“Š **Key statistics & valuation** โ€” market cap, P/E, forward P/E, PEG, price/book, price/sales, EV, EV/EBITDA, beta, EPS, shares outstanding. - ๐Ÿ’น **Profitability & growth** โ€” gross/operating/profit margins, ROE, ROA, revenue & earnings growth, free & operating cash flow, debt, cash, current/quick ratio. - ๐ŸŽฏ **Analyst data** โ€” mean/high/low price targets, recommendation, number of analysts. - ๐Ÿ’ต **Dividends** โ€” rate, yield, payout ratio, ex-dividend date. - ๐Ÿ“ˆ **Live quote & 52-week range**, and optional **historical OHLCV price data**. Export to **JSON, CSV, Excel, XML or HTML**, or pull from the **Apify API**. --- ### Use cases **๐Ÿ“Š Equity research & screening** - Compare valuation and profitability across a watchlist or a whole screener. - Build fundamental models from full statement history. **๐Ÿค– Quant & data teams** - Feed normalized fundamentals + price history into models and dashboards. - Track quarterly results across many tickers. **๐Ÿ’ผ Investors & analysts** - Pull P/E, PEG, EV/EBITDA, margins, ROE and analyst targets in one batch. - Monitor dividends and payout ratios. **๐Ÿ“ฐ Fintech & media** - Power stock dashboards, newsletters and alerts with reliable structured data. --- ### How to use it (step by step) No coding required. 1. Click **Try for free / Start**. 2. Add **Symbols** (e.g. `AAPL`, `MSFT`, `BTC-USD`) โ€” or pick a **Screener** (e.g. "Most actives") to discover tickers automatically. 3. Choose **Statement frequency** (annual / quarterly / both) and toggle **Include financial statements** / **Include price history**. 4. Set **Max symbols**. 5. Click **Save & Start**, then export the results. --- ### Input parameters | Field | Type | Description | |------|------|-------------| | `symbols` | array | Tickers (e.g. `AAPL`, `MSFT`, `BTC-USD`, `^GSPC`, `EURUSD=X`). | | `screener` | string | Optional Yahoo predefined screener to discover tickers (most_actives, day_gainers, undervalued_large_caps, โ€ฆ). | | `statementFrequency` | string | `both`, `annual`, or `quarterly`. | | `includeStatements` | boolean | Include income/balance/cash-flow statements. Default `true`. | | `includePriceHistory` | boolean | Include historical OHLCV. Default `false`. | | `priceRange` | string | Range for price history (`1mo`โ€“`max`). | | `maxItems` | integer | Max symbols. `0` = no limit. Default `100`. | | `proxyConfiguration` | object | Proxy settings. Default: Apify Proxy on. | | `maxConcurrency` | integer | Max parallel requests. Default `5`. | --- ### Input examples **1) A few tickers with full statements** ```json { "symbols": ["AAPL", "MSFT", "GOOGL"], "statementFrequency": "both" } ```` **2) Discover & scrape the most active stocks** ```json { "screener": "most_actives", "maxItems": 50 } ``` **3) Quotes + key stats only (fast, no statements)** ```json { "symbols": ["TSLA", "NVDA", "AMD"], "includeStatements": false } ``` **4) With price history** ```json { "symbols": ["AAPL"], "includePriceHistory": true, "priceRange": "5y" } ``` *** ### Output โ€” data fields One record per symbol. Top-level fields include: | Group | Fields | |------|--------| | Identity | `symbol`, `name`, `exchange`, `currency`, `quoteType`, `sector`, `industry`, `country`, `website`, `employees`, `businessSummary` | | Quote | `price`, `marketCap`, `previousClose`, `dayHigh`, `dayLow`, `fiftyTwoWeekHigh`, `fiftyTwoWeekLow`, `volume`, `averageVolume` | | Valuation | `trailingPE`, `forwardPE`, `pegRatio`, `priceToBook`, `priceToSales`, `enterpriseValue`, `enterpriseToRevenue`, `enterpriseToEbitda`, `beta`, `bookValue`, `trailingEps`, `forwardEps`, `sharesOutstanding`, `floatShares` | | Profitability | `profitMargins`, `grossMargins`, `operatingMargins`, `returnOnEquity`, `returnOnAssets`, `revenueGrowth`, `earningsGrowth`, `totalRevenueTTM`, `ebitdaTTM`, `totalCash`, `totalDebt`, `currentRatio`, `quickRatio`, `freeCashflowTTM`, `operatingCashflowTTM` | | Dividends | `dividendRate`, `dividendYield`, `payoutRatio`, `exDividendDate` | | Analyst | `targetMeanPrice`, `targetHighPrice`, `targetLowPrice`, `recommendationKey`, `numberOfAnalystOpinions` | | Statements | `financials.incomeStatement[]`, `financials.balanceSheet[]`, `financials.cashFlow[]` | | Price history | `priceHistory[]` (when enabled) | Each statement row: `{ date, frequency, periodType, currency, ...lineItems }` โ€” e.g. income rows carry `totalRevenue`, `grossProfit`, `operatingIncome`, `ebitda`, `netIncome`, `dilutedEPS`, โ€ฆ; balance rows carry `totalAssets`, `stockholdersEquity`, `totalDebt`, `cashAndCashEquivalents`, โ€ฆ; cash-flow rows carry `operatingCashFlow`, `freeCashFlow`, `capitalExpenditure`, โ€ฆ *** ### Sample output record ```json { "symbol": "AAPL", "name": "Apple Inc.", "exchange": "NMS", "currency": "USD", "sector": "Technology", "marketCap": 4571145961472, "price": 311.23, "trailingPE": 37.72, "forwardPE": 32.39, "priceToBook": 42.87, "enterpriseValue": 4587349606400, "returnOnEquity": 1.4147, "profitMargins": 0.2715, "targetMeanPrice": 310.5, "recommendationKey": "buy", "dividendYield": 0.0035, "financials": { "incomeStatement": [ { "date": "2025-09-30", "frequency": "annual", "currency": "USD", "totalRevenue": 416161000000, "netIncome": 99000000000, "dilutedEPS": 7.46, "ebitda": 144748000000 } ], "balanceSheet": [ { "date": "2025-09-30", "frequency": "annual", "totalAssets": 359241000000, "stockholdersEquity": 66000000000 } ], "cashFlow": [ { "date": "2025-09-30", "frequency": "annual", "operatingCashFlow": 120000000000, "freeCashFlow": 98767000000 } ] }, "scrapedAt": "2026-06-05T10:00:00.000Z" } ``` *** ### Coverage - **Stocks** (global exchanges), **ETFs**, **indices** (`^GSPC`), **crypto** (`BTC-USD`), **FX** (`EURUSD=X`). - Full financial statements apply to **equities**; indices/FX/crypto return quote & price data. - Discover symbols with the built-in **screeners**, or supply your own ticker list. *** ### Tips & best practices - ๐Ÿงช **Start with a few symbols** to confirm the output shape. - โšก **Disable statements** for a fast quotes + key-stats run when you don't need full history. - ๐Ÿงฑ **Use a screener** to scan a whole segment (e.g. most actives, undervalued large caps). - ๐Ÿข **Keep concurrency moderate** and proxy on โ€” Yahoo rate-limits aggressive bursts. - ๐Ÿ’พ **Use the Apify API / integrations** to push results into Google Sheets, a database, or a webhook, and **schedule** runs to track quarterly results. *** ### Frequently asked questions **Which statements are included?** Income statement, balance sheet and cash flow โ€” annual and/or quarterly, with normalized field names and multiple years of history. **Does it cover non-US companies?** Yes โ€” any symbol available on Yahoo Finance, across global exchanges, plus ETFs, indices, crypto and FX. **Can I discover tickers automatically?** Yes โ€” pick a predefined screener (most actives, day gainers, undervalued large caps, etc.). **Do I get analyst price targets and dividends?** Yes โ€” mean/high/low targets, recommendation, analyst count, and dividend rate/yield/payout. **What export formats are supported?** JSON, CSV, Excel, XML, HTML table, RSS โ€” plus the Apify API and integrations. *** ### Changelog **0.1.0** - Initial release: full income/balance/cash-flow statements (annual + quarterly), key stats, valuation ratios, profitability, dividends, analyst targets and live quotes. - Symbol list or screener discovery; optional OHLCV price history. - API-first with resilient session handling and proxy rotation. # Actor input Schema ## `symbols` (type: `array`): Tickers to scrape, e.g. AAPL, MSFT, TSLA, BTC-USD, ^GSPC, EURUSD=X. Stocks, ETFs, indices, crypto and FX are supported (financial statements apply to equities). ## `screener` (type: `string`): Instead of (or in addition to) symbols, discover tickers from a Yahoo predefined screener. Examples: most\_actives, day\_gainers, day\_losers, undervalued\_large\_caps, growth\_technology\_stocks, aggressive\_small\_caps. Leave empty to use only the symbols above. ## `statementFrequency` (type: `string`): Which financial-statement periods to include. ## `includeStatements` (type: `boolean`): Include full income statement, balance sheet and cash flow history. Disable for a quotes + key-stats-only run. ## `includePriceHistory` (type: `boolean`): Include historical OHLCV price data. ## `priceRange` (type: `string`): Range for price history when enabled. ## `maxItems` (type: `integer`): Maximum number of symbols to scrape. Use 0 for no limit. ## `proxyConfiguration` (type: `object`): Yahoo rate-limits at scale; rotating proxies are recommended. Datacenter is sufficient. ## `maxConcurrency` (type: `integer`): Maximum parallel requests. Keep moderate to avoid rate limits. ## Actor input object example ```json { "symbols": [ "AAPL", "MSFT" ], "screener": "", "statementFrequency": "both", "includeStatements": true, "includePriceHistory": false, "priceRange": "1y", "maxItems": 100, "proxyConfiguration": { "useApifyProxy": true }, "maxConcurrency": 5 } ``` # Actor output Schema ## `symbols` (type: `string`): All symbol records collected during the run. ## `runUrl` (type: `string`): Open this run in the Apify Console. # 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 = { "symbols": [ "AAPL", "MSFT" ], "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("haketa/yahoo-finance-fundamentals-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 = { "symbols": [ "AAPL", "MSFT", ], "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("haketa/yahoo-finance-fundamentals-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "symbols": [ "AAPL", "MSFT" ], "proxyConfiguration": { "useApifyProxy": true } }' | apify call haketa/yahoo-finance-fundamentals-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=haketa/yahoo-finance-fundamentals-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Yahoo Finance Fundamentals Scraper - Stocks & Financials", "description": "Yahoo Finance fundamentals scraper & API: export income statement, balance sheet & cash flow (annual & quarterly), key stats, valuation ratios (P/E, PEG, EV/EBITDA), margins, analyst price targets, dividends and live quotes for stocks, ETFs & crypto โ€” fast, no login, no API key.", "version": "0.1", "x-build-id": "YM5R1p3mhEP46CW2R" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/haketa~yahoo-finance-fundamentals-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-haketa-yahoo-finance-fundamentals-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/haketa~yahoo-finance-fundamentals-scraper/runs": { "post": { "operationId": "runs-sync-haketa-yahoo-finance-fundamentals-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/haketa~yahoo-finance-fundamentals-scraper/run-sync": { "post": { "operationId": "run-sync-haketa-yahoo-finance-fundamentals-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "symbols": { "title": "Symbols / tickers", "type": "array", "description": "Tickers to scrape, e.g. AAPL, MSFT, TSLA, BTC-USD, ^GSPC, EURUSD=X. Stocks, ETFs, indices, crypto and FX are supported (financial statements apply to equities).", "items": { "type": "string" } }, "screener": { "title": "Discover via screener (optional)", "enum": [ "", "most_actives", "day_gainers", "day_losers", "undervalued_large_caps", "growth_technology_stocks", "aggressive_small_caps", "undervalued_growth_stocks", "most_shorted_stocks" ], "type": "string", "description": "Instead of (or in addition to) symbols, discover tickers from a Yahoo predefined screener. Examples: most_actives, day_gainers, day_losers, undervalued_large_caps, growth_technology_stocks, aggressive_small_caps. Leave empty to use only the symbols above.", "default": "" }, "statementFrequency": { "title": "Statement frequency", "enum": [ "both", "annual", "quarterly" ], "type": "string", "description": "Which financial-statement periods to include.", "default": "both" }, "includeStatements": { "title": "Include financial statements", "type": "boolean", "description": "Include full income statement, balance sheet and cash flow history. Disable for a quotes + key-stats-only run.", "default": true }, "includePriceHistory": { "title": "Include price history", "type": "boolean", "description": "Include historical OHLCV price data.", "default": false }, "priceRange": { "title": "Price history range", "enum": [ "1mo", "6mo", "1y", "5y", "max" ], "type": "string", "description": "Range for price history when enabled.", "default": "1y" }, "maxItems": { "title": "Max symbols", "minimum": 0, "type": "integer", "description": "Maximum number of symbols to scrape. Use 0 for no limit.", "default": 100 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Yahoo rate-limits at scale; rotating proxies are recommended. Datacenter is sufficient.", "default": { "useApifyProxy": true } }, "maxConcurrency": { "title": "Max concurrency", "minimum": 1, "maximum": 20, "type": "integer", "description": "Maximum parallel requests. Keep moderate to avoid rate limits.", "default": 5 } } }, "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 } } } } } } } } } } ```