# Yahoo Finance Scraper (`dami_studio/yahoo-finance-scraper`) Actor Scrape Yahoo Finance with no API key: search symbols by name, get real-time price quotes (price, currency, % change, 52-week range), or pull OHLCV price history for stocks, ETFs, indices, FX and crypto. Clean structured JSON. - **URL**: https://apify.com/dami\_studio/yahoo-finance-scraper.md - **Developed by:** [Dami's Studio](https://apify.com/dami_studio) (community) - **Categories:** Integrations, AI, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $1.00 / 1,000 item returneds 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 Scrape [Yahoo Finance](https://finance.yahoo.com/) with **no API key and no login**. Three modes: - **search** — find ticker symbols by name (e.g. "apple" → AAPL). - **quote** — current price snapshot for one or more symbols. - **history** — OHLCV price history (candles) over a range/interval. Works for stocks, ETFs, indices (`^GSPC`), FX (`EURUSD=X`) and crypto (`BTC-USD`). It calls Yahoo's public JSON endpoints directly (`query1/query2.finance.yahoo.com`) — no HTML parsing, no scraping fragility. ### Input | Field | Type | Default | Notes | |------|------|---------|-------| | `mode` | string | `quote` | `search` \| `quote` \| `history` | | `query` | string | — | Search text (search mode), e.g. `apple` | | `symbols` | array | — | Tickers (quote/history mode), e.g. `["AAPL","MSFT","BTC-USD"]` | | `range` | string | `1mo` | `1d,5d,1mo,3mo,6mo,1y,5y,max` (history) | | `interval` | string | `1d` | `1m,5m,1d,1wk,1mo` (history; intraday needs short range) | | `maxItems` | integer | `100` | Caps history rows / search results | | `proxyConfiguration` | object | `{ "useApifyProxy": false }` | Optional; only needed if Yahoo rate-limits your IP (429) | #### Examples ```json { "mode": "search", "query": "apple", "maxItems": 20 } ```` ```json { "mode": "quote", "symbols": ["AAPL", "MSFT", "BTC-USD"] } ``` ```json { "mode": "history", "symbols": ["AAPL"], "range": "1mo", "interval": "1d" } ``` ### Output **search** rows: ```json { "symbol": "AAPL", "name": "Apple Inc.", "exchange": "NASDAQ", "quoteType": "EQUITY", "sector": "Technology", "industry": "Consumer Electronics" } ``` **quote** rows: ```json { "symbol": "AAPL", "price": 201.0, "currency": "USD", "exchange": "NMS", "previousClose": 198.0, "changePct": 1.52, "fiftyTwoWeekHigh": 260.1, "fiftyTwoWeekLow": 169.2, "marketTime": "2026-06-11T20:00:00.000Z" } ``` **history** rows (one per bar): ```json { "symbol": "AAPL", "date": "2026-05-12T13:30:00.000Z", "open": 210.9, "high": 211.3, "low": 206.7, "close": 207.0, "volume": 51000000 } ``` Every successful row has `ok: true`. Failures and empty results come back as `ok: false` rows with an `errorCode` (`RATE_LIMITED`, `NOT_FOUND`, `NO_RESULTS`, `BAD_INPUT`, `NETWORK`, …) and are **never charged**. ### Pricing Pay-per-result: one charge per successful row (`item`). Diagnostic, empty, and rate-limited rows are not charged. ### Notes - Yahoo **rejects generic User-Agents** — the actor always sends a browser-like UA and rotates it per retry. - Yahoo rate-limits aggressively. On HTTP 429 the actor backs off and retries; persistent limits surface as `RATE_LIMITED` rows. Enable Apify Proxy if you hit this under high volume. - Invalid symbols surface as `NOT_FOUND` rows (other symbols in the batch still return data). # Actor input Schema ## `mode` (type: `string`): What to fetch. "search" = find ticker symbols by name (uses Query). "quote" = current price snapshot for each Symbol. "history" = OHLCV price history for each Symbol over Range/Interval. ## `query` (type: `string`): Company or asset name to search ticker symbols for, e.g. "apple", "vanguard s\&p 500", "bitcoin". Only used when Mode is "search". ## `symbols` (type: `array`): One or more ticker symbols to fetch, e.g. AAPL, MSFT, ^GSPC (S\&P 500 index), EURUSD=X (FX), BTC-USD (crypto). Used by "quote" and "history" modes. ## `range` (type: `string`): How far back the price history goes (history mode). Longer ranges return more rows. ## `interval` (type: `string`): The candle size / sampling interval for history. Intraday intervals (1m, 5m) only work with short ranges (about 1d-1mo). ## `maxItems` (type: `integer`): Maximum number of result rows to return and charge for (caps history bars and search results). Quotes return one row per symbol. ## `notionConnector` (type: `string`): Optional. Write each item as a page into your Notion when the run finishes. Authorize a Notion connector once in Settings → API & Integrations → MCP connectors, then pick it here. Leave empty to skip (default) — results are always saved to the dataset regardless. ## `notionParentId` (type: `string`): Optional. The Notion data source ID of the database to write into (only used if a Notion connector is set). Leave empty to create the pages privately in your workspace instead. ## `proxyConfiguration` (type: `object`): OPTIONAL. Yahoo Finance's chart/search endpoints are public, no-auth JSON APIs, so no proxy is needed and the default routes traffic directly (saving proxy credits). Only enable Apify Proxy if Yahoo rate-limits your IP (HTTP 429) under high volume. ## Actor input object example ```json { "mode": "quote", "query": "apple", "symbols": [ "AAPL", "MSFT", "BTC-USD" ], "range": "1mo", "interval": "1d", "maxItems": 100, "proxyConfiguration": { "useApifyProxy": false } } ``` # Actor output Schema ## `results` (type: `string`): Scraped rows are stored in the default dataset (one row per result). Blocked/empty/error runs return a single uncharged diagnostic row instead. # 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": "apple", "symbols": [ "AAPL", "MSFT", "BTC-USD" ] }; // Run the Actor and wait for it to finish const run = await client.actor("dami_studio/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": "apple", "symbols": [ "AAPL", "MSFT", "BTC-USD", ], } # Run the Actor and wait for it to finish run = client.actor("dami_studio/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": "apple", "symbols": [ "AAPL", "MSFT", "BTC-USD" ] }' | apify call dami_studio/yahoo-finance-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=dami_studio/yahoo-finance-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Yahoo Finance Scraper", "description": "Scrape Yahoo Finance with no API key: search symbols by name, get real-time price quotes (price, currency, % change, 52-week range), or pull OHLCV price history for stocks, ETFs, indices, FX and crypto. Clean structured JSON.", "version": "0.1", "x-build-id": "Voa5yUK0W3W3CPore" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/dami_studio~yahoo-finance-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-dami_studio-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/dami_studio~yahoo-finance-scraper/runs": { "post": { "operationId": "runs-sync-dami_studio-yahoo-finance-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/dami_studio~yahoo-finance-scraper/run-sync": { "post": { "operationId": "run-sync-dami_studio-yahoo-finance-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "mode": { "title": "Mode", "enum": [ "search", "quote", "history" ], "type": "string", "description": "What to fetch. \"search\" = find ticker symbols by name (uses Query). \"quote\" = current price snapshot for each Symbol. \"history\" = OHLCV price history for each Symbol over Range/Interval.", "default": "quote" }, "query": { "title": "Search query (search mode)", "type": "string", "description": "Company or asset name to search ticker symbols for, e.g. \"apple\", \"vanguard s&p 500\", \"bitcoin\". Only used when Mode is \"search\"." }, "symbols": { "title": "Symbols (quote / history mode)", "type": "array", "description": "One or more ticker symbols to fetch, e.g. AAPL, MSFT, ^GSPC (S&P 500 index), EURUSD=X (FX), BTC-USD (crypto). Used by \"quote\" and \"history\" modes.", "items": { "type": "string" } }, "range": { "title": "Range (history / quote mode)", "enum": [ "1d", "5d", "1mo", "3mo", "6mo", "1y", "5y", "max" ], "type": "string", "description": "How far back the price history goes (history mode). Longer ranges return more rows.", "default": "1mo" }, "interval": { "title": "Interval (history mode)", "enum": [ "1m", "5m", "1d", "1wk", "1mo" ], "type": "string", "description": "The candle size / sampling interval for history. Intraday intervals (1m, 5m) only work with short ranges (about 1d-1mo).", "default": "1d" }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of result rows to return and charge for (caps history bars and search results). Quotes return one row per symbol.", "default": 100 }, "notionConnector": { "title": "Notion connector (optional)", "type": "string", "description": "Optional. Write each item as a page into your Notion when the run finishes. Authorize a Notion connector once in Settings → API & Integrations → MCP connectors, then pick it here. Leave empty to skip (default) — results are always saved to the dataset regardless." }, "notionParentId": { "title": "Notion target data source ID", "type": "string", "description": "Optional. The Notion data source ID of the database to write into (only used if a Notion connector is set). Leave empty to create the pages privately in your workspace instead." }, "proxyConfiguration": { "title": "Proxy (optional)", "type": "object", "description": "OPTIONAL. Yahoo Finance's chart/search endpoints are public, no-auth JSON APIs, so no proxy is needed and the default routes traffic directly (saving proxy credits). Only enable Apify Proxy if Yahoo rate-limits your IP (HTTP 429) under high volume.", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```