# Yahoo Finance Scraper (`cryptosignals/yahoo-finance-scraper`) Actor Pull financial data from Yahoo Finance. Get stock quotes, historical prices, financials, analyst ratings, news, and key statistics. Ideal for trading bots, portfolio tracking, and market research. PPE pricing — pay only for results. - **URL**: https://apify.com/cryptosignals/yahoo-finance-scraper.md - **Developed by:** [Web Data Labs](https://apify.com/cryptosignals) (community) - **Categories:** News - **Stats:** 4 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $3.00 / 1,000 result 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 Pull live stock quotes and ticker-specific news from Yahoo Finance — without registering for a paid market-data API or maintaining your own scraping stack. Built for trading bots, portfolio dashboards, and market-research pipelines. ### Why this is harder than it looks Yahoo Finance still publishes one of the most complete free finance datasets on the web — but turning it into a reliable feed is its own engineering project: - The undocumented endpoints behind the site change shape without notice. - Quote pages are heavily client-rendered and decorated with anti-automation friction. - Building rate-limited, retry-safe ingestion across thousands of tickers is non-trivial. - Keeping the parser stable while Yahoo redesigns its layouts is a maintenance treadmill. This actor abstracts all of that. You hand it a list of tickers and a data type — you get clean JSON back. ### Features - **Quote data** — current price, day change, day range, volume, market cap, P/E, and more. - **Ticker news** — recent headlines and links for each symbol. - **Bulk tickers** — request many symbols in a single run. - **Pay-per-result pricing** — pay only for items actually returned. - **No API key, no Yahoo account, no rate-limit headaches.** ### Input ```json { "tickers": ["AAPL", "MSFT", "GOOGL"], "dataType": "quote", "maxItems": 10 } ```` | Field | Type | Description | |-------|------|-------------| | `tickers` | array | List of ticker symbols (e.g. `AAPL`, `MSFT`, `TSLA`, `BTC-USD`). **Required.** | | `dataType` | string | `quote` for price/stat snapshots, or `news` for recent headlines per ticker. | | `maxItems` | integer | Max items per ticker (1–100). Mostly relevant for `news`. | ### Output (quote) ```json { "ticker": "AAPL", "price": 192.34, "change": 1.27, "changePercent": 0.66, "previousClose": 191.07, "open": 191.50, "dayLow": 190.88, "dayHigh": 193.10, "volume": 48211530, "marketCap": 3010000000000, "peRatio": 31.2, "currency": "USD" } ``` ### Output (news) ```json { "ticker": "AAPL", "title": "Apple announces new product line", "publisher": "Reuters", "publishedAt": "2026-05-06T09:14:00Z", "url": "https://finance.yahoo.com/news/..." } ``` ### Use cases - **Trading bots and signal pipelines** — feed live prices into your model. - **Portfolio dashboards** — refresh holdings with current valuations. - **Backtesting and research** — collect quote snapshots over time. - **News-driven strategies** — pull ticker-tagged headlines for sentiment analysis. - **Investor reporting** — generate weekly snapshots of a watchlist. ### Get started 1. Click **Run** with the default input — `AAPL`, `MSFT`, `GOOGL` quotes. 2. Replace tickers with your own watchlist. 3. Switch `dataType` to `news` for headline ingestion. 4. Schedule it on Apify or call from your code via the Apify API. > **Disclaimer:** Data is sourced from publicly available pages on Yahoo Finance. Provided as-is for informational purposes — not financial advice. Verify against an official market-data feed before trading on it. # Actor input Schema ## `tickers` (type: `array`): List of stock ticker symbols (e.g. AAPL, MSFT, GOOGL) ## `dataType` (type: `string`): Type of data to extract ## `maxItems` (type: `integer`): Maximum number of results per ticker ## Actor input object example ```json { "tickers": [ "AAPL", "MSFT", "GOOGL" ], "dataType": "quote", "maxItems": 10 } ``` # 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 = { "tickers": [ "AAPL", "MSFT", "GOOGL" ] }; // Run the Actor and wait for it to finish const run = await client.actor("cryptosignals/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 = { "tickers": [ "AAPL", "MSFT", "GOOGL", ] } # Run the Actor and wait for it to finish run = client.actor("cryptosignals/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 '{ "tickers": [ "AAPL", "MSFT", "GOOGL" ] }' | apify call cryptosignals/yahoo-finance-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=cryptosignals/yahoo-finance-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Yahoo Finance Scraper", "description": "Pull financial data from Yahoo Finance. Get stock quotes, historical prices, financials, analyst ratings, news, and key statistics. Ideal for trading bots, portfolio tracking, and market research. PPE pricing — pay only for results.", "version": "1.0", "x-build-id": "z81wHVVvhknW6lAgw" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/cryptosignals~yahoo-finance-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-cryptosignals-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/cryptosignals~yahoo-finance-scraper/runs": { "post": { "operationId": "runs-sync-cryptosignals-yahoo-finance-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/cryptosignals~yahoo-finance-scraper/run-sync": { "post": { "operationId": "run-sync-cryptosignals-yahoo-finance-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "tickers" ], "properties": { "tickers": { "title": "Stock Tickers", "type": "array", "description": "List of stock ticker symbols (e.g. AAPL, MSFT, GOOGL)", "items": { "type": "string" } }, "dataType": { "title": "Data Type", "enum": [ "quote", "news" ], "type": "string", "description": "Type of data to extract", "default": "quote" }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of results per ticker", "default": 10 } } }, "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 } } } } } } } } } } ```