# Yahoo Finance Scraper — Quotes, Financials, History, Options (`khadinakbar/yahoo-finance-scraper`) Actor Scrape Yahoo Finance — real-time quotes, historical OHLC, income/balance/cashflow statements, analyst ratings & price targets, news, options chains, earnings, holders, and company profiles. 10 modes auto-detected from ticker, company name, or URL. HTTP-first with browser fallback. MCP-ready. - **URL**: https://apify.com/khadinakbar/yahoo-finance-scraper.md - **Developed by:** [Khadin Akbar](https://apify.com/khadinakbar) (community) - **Categories:** MCP servers, AI, News - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 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. 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 Scraper Scrape **everything Yahoo Finance shows about a security** from one actor: live quotes, historical price history, full financial statements, analyst ratings, news, options chains, earnings, ownership, and company profiles. Pass a ticker, a company name, or a Yahoo Finance URL — the actor auto-detects what you want and returns clean, flat JSON built for AI agents, spreadsheets, and quant pipelines. ### What you can pull | Mode | What it returns | One item = | |------|-----------------|------------| | `quote` | Live price snapshot: price, change, day range, 52-week range, volume, market cap, P/E, EPS, pre/post-market | one quote | | `historical` | OHLC time-series (daily/weekly/monthly), adjusted close, volume | one bar | | `financials` | Income, balance sheet, and cash-flow statements (annual or quarterly) | one statement-period | | `analysis` | Analyst price targets, consensus rating, recommendation trend, recent upgrades/downgrades | one rating row | | `news` | Recent headlines: title, publisher, link, timestamp, related tickers | one article | | `options` | Full options chain — calls and puts with strike, bid/ask, IV, volume, open interest | one contract | | `earnings` | Earnings history (actual vs estimate, surprise %) and the next earnings date | one earnings row | | `holders` | Institutional and insider ownership plus the major-holders breakdown | one holder | | `profile` | Company profile: sector, industry, employees, website, summary, key stats | one company | | `search` | Resolve a company name to Yahoo ticker symbols | one symbol match | ### When to use it - Pull **fundamentals, history, and analyst data** into a model or research notebook. - Give an **AI agent** a single tool that answers almost any "what does Yahoo say about X" question. - Build **dashboards** that need statements, options, or ownership — not just the last price. Need only fast real-time quotes for many tickers at once? Use the lighter [stock-price-tracker](https://apify.com/khadinakbar/stock-price-tracker). This actor is the deep, all-in-one companion. ### Pricing (pay-per-event) | Event | Price | |-------|-------| | Actor start | $0.00005 | | Result (quote, statement, rating, article, earnings row, holder, profile, symbol match) | $0.005 | | Data point (historical bar, option contract) | $0.001 | Diagnostic "no data" notes are **never charged** — you pay only for real data. `maxResults` is a hard cap, and the actor logs the maximum possible cost before it charges anything. ### Quick start Input is a single `query` plus an optional `mode`: ```json { "query": "AAPL" } ```` That returns a live quote (auto-detected). To go deeper, set the mode: ```json { "query": "AAPL", "mode": "financials", "frequency": "quarterly" } ``` Historical prices for a date window: ```json { "query": "MSFT", "mode": "historical", "interval": "1d", "dateFrom": "2023-01-01", "dateTo": "2024-01-01", "maxResults": 365 } ``` Options chain: ```json { "query": "NVDA", "mode": "options", "maxResults": 200 } ``` A Yahoo Finance URL routes itself — this fetches the holders page: ```json { "query": "https://finance.yahoo.com/quote/TSLA/holders" } ``` #### Call it via the Apify API (JavaScript) ```javascript import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' }); const run = await client.actor('khadinakbar/yahoo-finance-scraper').call({ query: 'AAPL', mode: 'analysis', }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); console.log(items); ``` #### Call it via the Apify API (Python) ```python from apify_client import ApifyClient client = ApifyClient("YOUR_APIFY_TOKEN") run = client.actor("khadinakbar/yahoo-finance-scraper").call( run_input={"query": "AAPL", "mode": "earnings"} ) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) ``` ### Symbol formats Yahoo Finance symbols work across asset classes: - US stocks / ETFs: `AAPL`, `SPY`, `BRK-B` - Indices: `^GSPC` (S\&P 500), `^DJI`, `^IXIC` - Crypto: `BTC-USD`, `ETH-USD` - Forex: `EURUSD=X`, `GBPJPY=X` - Futures: `ES=F`, `CL=F`, `GC=F` - Non-US stocks (add the exchange suffix): `VOW3.DE`, `BABA.HK`, `7203.T` Not sure of the symbol? Use `mode: "search"` with the company name. ### How it works The actor talks to Yahoo Finance's public JSON endpoints (`query1`/`query2.finance.yahoo.com`) first — fast, lightweight, and reliable. It manages Yahoo's crumb + cookie session automatically. If those endpoints rate-limit or block, it transparently **falls back to a real Chromium browser** that fetches the same JSON from a genuine browser context, then parses it identically. You get the same clean output either way. Output is **flat and agent-friendly**: stable keys, explicit `null`s, ISO 8601 dates, under ~500 tokens per item. Every record carries a `_mode` tag, and "no data" situations return an agent-readable `_diagnostic` note with a `_note` explaining why and how to fix the query — instead of a hard failure. ### Output example (quote) ```json { "_mode": "quote", "symbol": "AAPL", "name": "Apple Inc.", "assetType": "EQUITY", "currency": "USD", "exchange": "NasdaqGS", "price": 195.12, "change": 1.84, "changePercent": 0.95, "marketCap": 3010000000000, "fiftyTwoWeekHigh": 199.62, "fiftyTwoWeekLow": 164.08, "trailingPE": 31.2, "timestamp": "2026-05-29T20:00:01.000Z" } ``` ### FAQ **Which markets are covered?** Anything with a Yahoo Finance symbol — US and international equities, ETFs, indices, crypto, forex, mutual funds, and futures. **Do financials work for ETFs or crypto?** No. Statements, options, earnings, and holders only exist for individual companies. Those modes return a clear diagnostic note for non-company symbols; use `quote` or `historical` instead. **How far back does history go?** Use `range: "max"` or a wide `dateFrom`/`dateTo` window. Daily, weekly, and monthly intervals are supported. **Will it break when Yahoo changes things?** The HTTP-first + browser-fallback design absorbs most anti-bot tightening. Records validate against the output schema, and the actor fails honestly (clear status, no silent empty success) when a symbol genuinely has no data. **Is there an MCP / AI-agent interface?** Yes. The actor is exposed in the Apify MCP server as `apify--yahoo-finance-scraper`. Input descriptions and output shapes are written for LLM consumption. ### Legal & disclaimer This actor collects **publicly available** data from Yahoo Finance for research and analysis. It does not bypass authentication or access private/paywalled data. You are responsible for using the data in compliance with Yahoo's Terms of Service and all applicable laws. The data is provided **as-is, for informational purposes only, and is not financial advice**. Verify critical figures against an authoritative source before relying on them for trading or investment decisions. Not affiliated with, endorsed by, or sponsored by Yahoo or its affiliates. # Actor input Schema ## `query` (type: `string`): What to look up. Accepts a Yahoo ticker (e.g. 'AAPL', 'BTC-USD', '^GSPC', 'EURUSD=X', 'VOW3.DE'), a company name for symbol search (e.g. 'Nvidia'), or a Yahoo Finance URL (e.g. 'https://finance.yahoo.com/quote/AAPL/financials'). When a URL includes a section (history, financials, holders, options, analysis), that section sets the mode automatically. NOT a Google or Bloomberg URL — Yahoo Finance only. ## `mode` (type: `string`): Which data to fetch. 'auto' = infer from the query (ticker -> quote, name -> search, URL -> its section). 'quote' = live price snapshot. 'historical' = OHLC time-series. 'financials' = income/balance/cashflow statements. 'analysis' = analyst ratings + price targets. 'news' = recent headlines. 'options' = options chain. 'earnings' = earnings history + next date. 'holders' = institutional/insider ownership. 'profile' = company profile + key stats. 'search' = resolve a name to tickers. ## `interval` (type: `string`): Bar interval for historical mode: '1d' daily, '1wk' weekly, '1mo' monthly. Defaults to '1d'. Ignored outside historical mode. ## `range` (type: `string`): Look-back window for historical mode when no explicit dates are set: e.g. '1mo', '6mo', '1y', '5y', 'max'. Defaults to '1y'. Overridden by dateFrom/dateTo when both are provided. Ignored outside historical mode. ## `dateFrom` (type: `string`): Lower-bound date for historical mode in YYYY-MM-DD (e.g. '2023-01-01'). When both dateFrom and dateTo are set they override `range`. Leave empty to use `range`. Ignored outside historical mode. ## `dateTo` (type: `string`): Upper-bound date for historical mode in YYYY-MM-DD (e.g. '2024-01-01'). Used together with dateFrom. Leave empty to use `range`. Ignored outside historical mode. ## `frequency` (type: `string`): For financials mode: 'annual' returns fiscal-year statements, 'quarterly' returns the last few quarters. Defaults to 'annual'. Ignored outside financials mode. ## `newsCount` (type: `integer`): Number of news articles to request in news mode (1-50). Defaults to 20. Ignored outside news mode; use maxResults to cap overall output. ## `maxResults` (type: `integer`): Cap on dataset items returned (1-5000). One item = one quote, OHLC bar, statement, rating, article, option contract, earnings row, holder, or symbol match. Defaults to 100. Charged $0.005 per result and $0.001 per data-point (historical bars + option contracts). ## `proxyConfiguration` (type: `object`): Proxy settings. Defaults to Apify Proxy (recommended) which keeps Yahoo Finance reliable. Datacenter proxies work for most endpoints; switch to residential if you hit rate limits at high volume. ## Actor input object example ```json { "query": "AAPL", "mode": "auto", "interval": "1d", "range": "1y", "dateFrom": "2023-01-01", "dateTo": "2024-01-01", "frequency": "annual", "newsCount": 20, "maxResults": 100, "proxyConfiguration": { "useApifyProxy": true } } ``` # Actor output Schema ## `dataset` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "query": "AAPL" }; // Run the Actor and wait for it to finish const run = await client.actor("khadinakbar/yahoo-finance-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "query": "AAPL" } # Run the Actor and wait for it to finish run = client.actor("khadinakbar/yahoo-finance-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 '{ "query": "AAPL" }' | apify call khadinakbar/yahoo-finance-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=khadinakbar/yahoo-finance-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Yahoo Finance Scraper — Quotes, Financials, History, Options", "description": "Scrape Yahoo Finance — real-time quotes, historical OHLC, income/balance/cashflow statements, analyst ratings & price targets, news, options chains, earnings, holders, and company profiles. 10 modes auto-detected from ticker, company name, or URL. HTTP-first with browser fallback. MCP-ready.", "version": "0.2", "x-build-id": "9b8ayOP5bC7ffNF97" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/khadinakbar~yahoo-finance-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-khadinakbar-yahoo-finance-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/khadinakbar~yahoo-finance-scraper/runs": { "post": { "operationId": "runs-sync-khadinakbar-yahoo-finance-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/khadinakbar~yahoo-finance-scraper/run-sync": { "post": { "operationId": "run-sync-khadinakbar-yahoo-finance-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "query" ], "properties": { "query": { "title": "Query (ticker, company name, or Yahoo Finance URL)", "type": "string", "description": "What to look up. Accepts a Yahoo ticker (e.g. 'AAPL', 'BTC-USD', '^GSPC', 'EURUSD=X', 'VOW3.DE'), a company name for symbol search (e.g. 'Nvidia'), or a Yahoo Finance URL (e.g. 'https://finance.yahoo.com/quote/AAPL/financials'). When a URL includes a section (history, financials, holders, options, analysis), that section sets the mode automatically. NOT a Google or Bloomberg URL — Yahoo Finance only." }, "mode": { "title": "Mode (auto-detect by default)", "enum": [ "auto", "quote", "historical", "financials", "analysis", "news", "options", "earnings", "holders", "profile", "search" ], "type": "string", "description": "Which data to fetch. 'auto' = infer from the query (ticker -> quote, name -> search, URL -> its section). 'quote' = live price snapshot. 'historical' = OHLC time-series. 'financials' = income/balance/cashflow statements. 'analysis' = analyst ratings + price targets. 'news' = recent headlines. 'options' = options chain. 'earnings' = earnings history + next date. 'holders' = institutional/insider ownership. 'profile' = company profile + key stats. 'search' = resolve a name to tickers.", "default": "auto" }, "interval": { "title": "Historical interval", "enum": [ "1d", "1wk", "1mo" ], "type": "string", "description": "Bar interval for historical mode: '1d' daily, '1wk' weekly, '1mo' monthly. Defaults to '1d'. Ignored outside historical mode.", "default": "1d" }, "range": { "title": "Historical range", "enum": [ "5d", "1mo", "3mo", "6mo", "1y", "2y", "5y", "10y", "max" ], "type": "string", "description": "Look-back window for historical mode when no explicit dates are set: e.g. '1mo', '6mo', '1y', '5y', 'max'. Defaults to '1y'. Overridden by dateFrom/dateTo when both are provided. Ignored outside historical mode.", "default": "1y" }, "dateFrom": { "title": "Historical date from", "type": "string", "description": "Lower-bound date for historical mode in YYYY-MM-DD (e.g. '2023-01-01'). When both dateFrom and dateTo are set they override `range`. Leave empty to use `range`. Ignored outside historical mode.", "default": "" }, "dateTo": { "title": "Historical date to", "type": "string", "description": "Upper-bound date for historical mode in YYYY-MM-DD (e.g. '2024-01-01'). Used together with dateFrom. Leave empty to use `range`. Ignored outside historical mode.", "default": "" }, "frequency": { "title": "Statement frequency", "enum": [ "annual", "quarterly" ], "type": "string", "description": "For financials mode: 'annual' returns fiscal-year statements, 'quarterly' returns the last few quarters. Defaults to 'annual'. Ignored outside financials mode.", "default": "annual" }, "newsCount": { "title": "News article count", "minimum": 1, "maximum": 50, "type": "integer", "description": "Number of news articles to request in news mode (1-50). Defaults to 20. Ignored outside news mode; use maxResults to cap overall output.", "default": 20 }, "maxResults": { "title": "Max results", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Cap on dataset items returned (1-5000). One item = one quote, OHLC bar, statement, rating, article, option contract, earnings row, holder, or symbol match. Defaults to 100. Charged $0.005 per result and $0.001 per data-point (historical bars + option contracts).", "default": 100 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy settings. Defaults to Apify Proxy (recommended) which keeps Yahoo Finance reliable. Datacenter proxies work for most endpoints; switch to residential if you hit rate limits at high volume.", "default": { "useApifyProxy": true } } } }, "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 } } } } } } } } } } ```