# Yahoo Finance Scraper - Stocks, Crypto & Historical Data (`fascinating_lentil/yahoo-finance-scraper`) Actor Scrape stock and crypto quotes plus historical OHLCV data from Yahoo Finance. Get price, 52-week range, volume, exchange, and price history for any ticker. No login or API key needed. - **URL**: https://apify.com/fascinating\_lentil/yahoo-finance-scraper.md - **Developed by:** [Md Jakaria Mirza](https://apify.com/fascinating_lentil) (community) - **Categories:** Developer tools, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 1,000 quote scrapeds 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 ## Yahoo Finance Scraper - Stocks, Crypto & Historical Data Scrape **stock and crypto market data from Yahoo Finance** - no login, no API key required. Get real-time quotes, day and 52-week ranges, volume, exchange info, and full **historical OHLCV** price data for any ticker. Look up symbols by company/asset name. Export to **JSON, CSV, Excel, or HTML**, or pull via the Apify API. Perfect for **portfolio tracking, quant research, trading bots, dashboards, and market analysis**. ### Features - ✅ **No login or API key** - uses Yahoo Finance's public chart API - ✅ **Stocks, crypto, forex, ETFs, indices** - any Yahoo ticker (e.g. `AAPL`, `BTC-USD`, `EURUSD=X`) - ✅ **Symbol search** - resolve company/asset names to tickers - ✅ **Live quote** - price, change, day & 52-week high/low, volume, exchange - ✅ **Historical OHLCV** - open/high/low/close/adjusted-close/volume across many ranges & intervals - ✅ **Fast & lightweight** - pure JSON, no headless browser ### Input | Parameter | Type | Description | Default | |-----------|------|-------------|---------| | `symbols` | `string[]` | Ticker symbols, e.g. `"AAPL"`, `"BTC-USD"` | `["AAPL"]` | | `searchQueries` | `string[]` | Names to resolve to tickers (e.g. `"tesla"`) | `[]` | | `includeHistorical` | `boolean` | Include historical OHLCV in each quote | `false` | | `historicalRange` | `string` | `1d`/`5d`/`1mo`/`3mo`/`6mo`/`1y`/`2y`/`5y`/`10y`/`ytd`/`max` | `1mo` | | `historicalInterval` | `string` | `1m`/`5m`/`15m`/`30m`/`60m`/`1d`/`1wk`/`1mo` | `1d` | | `proxyConfiguration` | `object` | Proxy (helps avoid rate limits on large runs) | Apify Proxy | #### Example input ```json { "symbols": ["AAPL", "MSFT", "BTC-USD"], "searchQueries": ["tesla"], "includeHistorical": true, "historicalRange": "1mo", "historicalInterval": "1d" } ```` ### Sample output ```json { "symbol": "AAPL", "name": "Apple Inc.", "instrumentType": "EQUITY", "currency": "USD", "exchange": "NasdaqGS", "price": 291.58, "previousClose": 310.26, "change": -18.68, "changePercent": -6.02, "dayHigh": 294.74, "dayLow": 287.38, "fiftyTwoWeekHigh": 317.4, "fiftyTwoWeekLow": 195.07, "volume": 49237715, "marketTime": "2026-06-10T20:00:01.000Z", "historicalRange": "5d", "historicalInterval": "1d", "historicalCount": 5, "history": [ { "date": "2026-06-10T13:30:00.000Z", "open": 290.74, "high": 294.74, "low": 287.38, "close": 291.58, "adjClose": 291.58, "volume": 49237715 } ], "scrapedAt": "2026-06-11T10:00:00.000Z" } ``` ### Pricing This Actor uses **pay-per-result** pricing: | Event | Price | |-------|-------| | Per quote scraped | **$0.002** ($2 / 1,000 tickers) | Each ticker is one charge, including its optional historical price series. You are only charged for quotes actually returned. Apify platform usage is billed separately by Apify. ### How to Scrape Yahoo Finance (Step by Step) 1. Click **Try for free** / **Run**. 2. Enter `symbols` (e.g. `AAPL`, `BTC-USD`, `EURUSD=X`), or add `searchQueries` to resolve names to tickers. 3. Toggle `includeHistorical` if you want OHLCV history, then pick a `historicalRange` and `historicalInterval`. 4. Run the Actor (start with a few tickers to test). 5. Export the results as JSON, CSV, Excel, or HTML, or pull them via the Apify API. ### Use cases - **Portfolio & watchlist tracking** - pull live prices on a schedule - **Quant research & backtesting** - bulk historical OHLCV across many tickers - **Dashboards & alerts** - feed prices into BI tools or notifications - **Crypto + forex monitoring** - `BTC-USD`, `ETH-USD`, `EURUSD=X`, and more ### Tips - Symbols follow Yahoo's format: crypto as `BTC-USD`, forex as `EURUSD=X`, indices as `^GSPC`. - Turn on `includeHistorical` and pick a `historicalRange` / `historicalInterval` for time-series data. - Use `searchQueries` when you know the name but not the exact ticker. ### License Apache-2.0 # Actor input Schema ## `symbols` (type: `array`): Stock or crypto symbols, e.g. "AAPL", "MSFT", "BTC-USD", "EURUSD=X". ## `searchQueries` (type: `array`): Company or asset names to look up and resolve to ticker symbols (e.g. "apple", "bitcoin"). ## `includeHistorical` (type: `boolean`): If enabled, each quote includes a historical OHLCV time series. ## `historicalRange` (type: `string`): Time range for historical data (used when 'Include Historical Prices' is on). ## `historicalInterval` (type: `string`): Candle interval for historical data. ## `proxyConfiguration` (type: `object`): Proxy settings. Yahoo Finance is generally open; enable proxies to avoid rate limits on large runs. ## Actor input object example ```json { "symbols": [ "AAPL", "MSFT", "BTC-USD" ], "searchQueries": [], "includeHistorical": false, "historicalRange": "1mo", "historicalInterval": "1d", "proxyConfiguration": { "useApifyProxy": true } } ``` # 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", "BTC-USD" ] }; // Run the Actor and wait for it to finish const run = await client.actor("fascinating_lentil/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 = { "symbols": [ "AAPL", "MSFT", "BTC-USD", ] } # Run the Actor and wait for it to finish run = client.actor("fascinating_lentil/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 '{ "symbols": [ "AAPL", "MSFT", "BTC-USD" ] }' | apify call fascinating_lentil/yahoo-finance-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=fascinating_lentil/yahoo-finance-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Yahoo Finance Scraper - Stocks, Crypto & Historical Data", "description": "Scrape stock and crypto quotes plus historical OHLCV data from Yahoo Finance. Get price, 52-week range, volume, exchange, and price history for any ticker. No login or API key needed.", "version": "1.0", "x-build-id": "AErxsSiVD6wkXUfMy" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/fascinating_lentil~yahoo-finance-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-fascinating_lentil-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/fascinating_lentil~yahoo-finance-scraper/runs": { "post": { "operationId": "runs-sync-fascinating_lentil-yahoo-finance-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/fascinating_lentil~yahoo-finance-scraper/run-sync": { "post": { "operationId": "run-sync-fascinating_lentil-yahoo-finance-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "symbols": { "title": "Ticker Symbols", "type": "array", "description": "Stock or crypto symbols, e.g. \"AAPL\", \"MSFT\", \"BTC-USD\", \"EURUSD=X\".", "default": [ "AAPL" ], "items": { "type": "string" } }, "searchQueries": { "title": "Search Queries", "type": "array", "description": "Company or asset names to look up and resolve to ticker symbols (e.g. \"apple\", \"bitcoin\").", "default": [], "items": { "type": "string" } }, "includeHistorical": { "title": "Include Historical Prices", "type": "boolean", "description": "If enabled, each quote includes a historical OHLCV time series.", "default": false }, "historicalRange": { "title": "Historical Range", "enum": [ "1d", "5d", "1mo", "3mo", "6mo", "1y", "2y", "5y", "10y", "ytd", "max" ], "type": "string", "description": "Time range for historical data (used when 'Include Historical Prices' is on).", "default": "1mo" }, "historicalInterval": { "title": "Historical Interval", "enum": [ "1m", "5m", "15m", "30m", "60m", "1d", "1wk", "1mo" ], "type": "string", "description": "Candle interval for historical data.", "default": "1d" }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. Yahoo Finance is generally open; enable proxies to avoid rate limits on large runs.", "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 } } } } } } } } } } ```