# Yahoo Finance Stock Scraper (`mangudai/yahoo-finance-stock-scraper`) Actor Scrape live stock quotes and full historical OHLCV price data from Yahoo Finance. No login, no API key. Give it tickers or company names and get clean rows for stocks, ETFs, indices, crypto, and FX. - **URL**: https://apify.com/mangudai/yahoo-finance-stock-scraper.md - **Developed by:** [MangudΓ€i](https://apify.com/mangudai) (community) - **Categories:** E-commerce, Open source - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.85 / 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. 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 stock scraper Pull live stock quotes and full historical price data from Yahoo Finance without a login or an API key. Give it a list of tickers or a few company names and it returns clean, structured rows you can drop straight into a spreadsheet, a dashboard, or a model. It reads Yahoo's public chart and search JSON endpoints and routes every request through Apify Proxy, so it stays reliable at scale. It works for stocks, ETFs, indices, mutual funds, crypto pairs, and FX pairs. ### What you get Two output modes, set with the `mode` field. Quote mode (default) returns one row per ticker with the current market snapshot: price, day change and percent change, previous close, day high and low, volume, 52 week high and low, currency, exchange, and the quote timestamp. History mode returns one row per candle across the range and interval you pick: date, open, high, low, close, adjusted close, and volume. Ranges run from a single day to the full history, with daily, weekly, monthly, and intraday intervals. ### Input - `tickers`: symbols to scrape, for example `AAPL`, `MSFT`, `^GSPC`, `BTC-USD`, `EURUSD=X`. - `searchQueries`: company or asset names to resolve into symbols, for example `apple` or `coca cola`. - `mode`: `quote` or `history`. - `range` and `interval`: the window and candle size for history mode. - `maxSearchResults`: how many symbols to keep from each search query. - `proxyConfiguration`: Apify Proxy settings. Keep it on for scale. The default run scrapes AAPL, MSFT, TSLA, GOOGL, and AMZN in quote mode, so the first run returns a filled dataset with no setup. ### Example quote row ```json { "symbol": "AAPL", "shortName": "Apple Inc.", "regularMarketPrice": 327.5, "currency": "USD", "dayChange": 10.5, "dayChangePercent": 3.31, "previousClose": 317.0, "regularMarketDayHigh": 328.72, "regularMarketDayLow": 317.32, "regularMarketVolume": 60780931, "fiftyTwoWeekHigh": 328.73, "fiftyTwoWeekLow": 201.5, "fullExchangeName": "NasdaqGS", "regularMarketTime": "2026-07-15T20:00:00Z" } ```` ### Notes Data comes from Yahoo Finance public endpoints and is provided as is for research and analysis. Symbols follow Yahoo's format: a caret for indices (`^GSPC`), a dash for crypto (`BTC-USD`), and `=X` for FX (`EURUSD=X`). # Actor input Schema ## `tickers` (type: `array`): Ticker symbols to scrape, for example AAPL, MSFT, TSLA. Works for stocks, ETFs, indices (^GSPC), crypto pairs (BTC-USD), and FX pairs (EURUSD=X). ## `searchQueries` (type: `array`): Company or asset names to resolve into ticker symbols, for example apple or coca cola. Each query is looked up and the top matches are scraped alongside the tickers above. ## `mode` (type: `string`): quote returns one compact row per ticker with the current market snapshot. history returns one row per candle in the OHLCV time series. ## `range` (type: `string`): Time window for history mode and the previous-close reference in quote mode. ## `interval` (type: `string`): Candle interval for history mode. Intraday intervals only work with short ranges. ## `maxSearchResults` (type: `integer`): How many top symbols to keep from each search query. ## `proxyConfiguration` (type: `object`): Apify Proxy routes requests through rotating IPs. Recommended to keep on for scale. ## Actor input object example ```json { "tickers": [ "AAPL", "MSFT", "TSLA", "GOOGL", "AMZN" ], "mode": "quote", "range": "1mo", "interval": "1d", "maxSearchResults": 1, "proxyConfiguration": { "useApifyProxy": true } } ``` # Actor output Schema ## `datasetOutput` (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 = { "tickers": [ "AAPL", "MSFT", "TSLA", "GOOGL", "AMZN" ], "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("mangudai/yahoo-finance-stock-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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", "MSFT", "TSLA", "GOOGL", "AMZN", ], "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("mangudai/yahoo-finance-stock-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "tickers": [ "AAPL", "MSFT", "TSLA", "GOOGL", "AMZN" ], "proxyConfiguration": { "useApifyProxy": true } }' | apify call mangudai/yahoo-finance-stock-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=mangudai/yahoo-finance-stock-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Yahoo Finance Stock Scraper", "description": "Scrape live stock quotes and full historical OHLCV price data from Yahoo Finance. No login, no API key. Give it tickers or company names and get clean rows for stocks, ETFs, indices, crypto, and FX.", "version": "0.0", "x-build-id": "JxjN7dsNWzaN330Eo" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/mangudai~yahoo-finance-stock-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-mangudai-yahoo-finance-stock-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/mangudai~yahoo-finance-stock-scraper/runs": { "post": { "operationId": "runs-sync-mangudai-yahoo-finance-stock-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/mangudai~yahoo-finance-stock-scraper/run-sync": { "post": { "operationId": "run-sync-mangudai-yahoo-finance-stock-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "tickers": { "title": "Stock tickers", "type": "array", "description": "Ticker symbols to scrape, for example AAPL, MSFT, TSLA. Works for stocks, ETFs, indices (^GSPC), crypto pairs (BTC-USD), and FX pairs (EURUSD=X).", "items": { "type": "string" } }, "searchQueries": { "title": "Search queries", "type": "array", "description": "Company or asset names to resolve into ticker symbols, for example apple or coca cola. Each query is looked up and the top matches are scraped alongside the tickers above.", "items": { "type": "string" } }, "mode": { "title": "Output mode", "enum": [ "quote", "history" ], "type": "string", "description": "quote returns one compact row per ticker with the current market snapshot. history returns one row per candle in the OHLCV time series.", "default": "quote" }, "range": { "title": "History range", "enum": [ "1d", "5d", "1mo", "3mo", "6mo", "1y", "2y", "5y", "10y", "ytd", "max" ], "type": "string", "description": "Time window for history mode and the previous-close reference in quote mode.", "default": "1mo" }, "interval": { "title": "History interval", "enum": [ "1m", "5m", "15m", "30m", "60m", "1d", "1wk", "1mo" ], "type": "string", "description": "Candle interval for history mode. Intraday intervals only work with short ranges.", "default": "1d" }, "maxSearchResults": { "title": "Max results per search query", "minimum": 1, "maximum": 20, "type": "integer", "description": "How many top symbols to keep from each search query.", "default": 1 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Apify Proxy routes requests through rotating IPs. Recommended to keep on for scale.", "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 } } } } } } } } } } ```