# Yahoo Finance API Scraper (`rl1987/yahoofinance-api-scraper`) Actor Yahoo Finance market data via the mobile API: real-time quotes, symbol search, and full company summary/financials. Human-friendly inputs (search terms) resolved through Yahoo's own mobile search endpoint. - **URL**: https://apify.com/rl1987/yahoofinance-api-scraper.md - **Developed by:** [R.L.](https://apify.com/rl1987) (community) - **Categories:** Other - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.50 / 1,000 symbol data rows 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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 πŸ—‚οΈ β€” Scrape Yahoo Finance.com Symbol, Name, Type, Exchange **Yahoo Finance Scraper** β€” Yahoo Finance market data via the mobile API: real-time quotes, symbol search, and full company summary/financials. Human-friendly inputs (search terms) resolved through Yahoo's own mobile search endpoint. It reads Yahoo Finance's own API directly, so it's **fast, reliable and complete** β€” no flaky HTML parsing, no headless browser. Export to **JSON, CSV, Excel, or an API**. --- ### ✨ Why use this Yahoo Finance Scraper? - 🟒 **No code required** β€” set your input, click **Start**, download your data. - ⚑ **Fast & accurate** β€” reads Yahoo Finance's own private API and returns structured JSON, not scraped HTML. - 🧾 **Rich, structured data** β€” every field below, clean and ready to use. - πŸ” **Full pagination** β€” collects results to your `maxItems` cap. - πŸ’Έ **Transparent pay-per-result pricing** β€” pay only for the rows you get. - πŸ“€ **Export anywhere** β€” JSON, CSV, Excel, XML, or pull it live via the Apify API. --- ### 🎯 What can you do with Yahoo Finance data? - **Market & competitor research** β€” analyse Yahoo Finance records at scale. - **Price & availability monitoring** β€” track changes over time. - **Data science & trend analysis** β€” build clean datasets. - **Lead generation & enrichment** β€” feed Yahoo Finance data into your own tools. --- ### πŸ“₯ What data does the Yahoo Finance Scraper extract? Each row includes: `symbol`, `shortName`, `quoteType`, `exchange`, `currency`, `regularMarketPrice`, `regularMarketChange`, `regularMarketChangePercent`, `regularMarketVolume`, `marketCap`, `regularMarketDayRange`, `fiftyTwoWeekRange`, `trailingPE`, `quote` …and more. See the full **Data table** below. --- ### πŸš€ How to scrape Yahoo Finance.com (3 steps) 1. **Set your input** β€” provide `query` or `symbols` (see the table below; defaults work out of the box). 2. **Pick options** β€” filters, a `proxyConfiguration`, and a `maxItems` cap. 3. **Run & export** β€” click **Start**, then download the dataset as JSON/CSV/Excel or fetch it via the API. --- ### βš™οΈ Input | Field | Type | Default | Description | | --- | --- | --- | --- | | `query` | string | `apple` | A human-friendly search string (e.g. 'apple', 'tesla', 'S&P 500', 'bitcoin'). Resolved to the best-matching symbol via Yahoo's own mobile search endpoint. | | `symbols` | array of string | – | Optional explicit ticker symbols (e.g. AAPL, MSFT, BTC-USD). Advanced: bypasses search resolution. | | `resultsPerQuery` | integer | `1` | How many matching symbols to keep from each search term. | | `includeSummary` | boolean | `true` | Fetch the full company summary/financials detail (30 quoteSummary modules) for each symbol. | | `includeHistory` | boolean | `false` | Fetch a price-history time series (chart) for each symbol. | | `historyRange` | enum | `1mo` | Range for price history when enabled. β€” one of `1d`, `5d`, `1mo`, `3mo`, `6mo`, `1y`, `2y`, `5y`, `10y`, `ytd`, `max` | | `historyInterval` | enum | `1d` | Candle interval for price history. β€” one of `1m`, `5m`, `15m`, `30m`, `1h`, `1d`, `1wk`, `1mo` | | `region` | string | `US` | Market region code (e.g. US, GB, DE). | | `lang` | string | `en-US` | Language code (e.g. en-US). | | `maxItems` | integer | `0` | 0 = all resolved symbols. | | `proxyConfiguration` | object | Apify Proxy | Route requests through a proxy (Apify Proxy by default). | #### Example input ```jsonc { "query": "apple", "resultsPerQuery": 1, "includeSummary": true, "includeHistory": false, "historyRange": "1mo", "historyInterval": "1d", "region": "US", "lang": "en-US", "maxItems": 0, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ```` *** ### πŸ“€ Output Each result is a JSON object like this: ```jsonc { "symbol": "TSLA", "shortName": "Tesla, Inc.", "quoteType": "EQUITY", "exchange": "NMS", "currency": "USD", "regularMarketPrice": 394.045, "regularMarketChange": -8.85498, "regularMarketChangePercent": -2.1978111, "regularMarketVolume": 19107152, "marketCap": 1479924252672, "regularMarketDayRange": "390.96 - 399.63", "fiftyTwoWeekRange": "293.55 - 498.83", "trailingPE": 361.5092, "quote": { "…": "80 fields" }, "summary": { "…": "30 fields" }, "chart": { "meta": { "…": "25 fields" }, "timestamp": [ 1780925400, 1781011800, "…+19 more" ], "indicators": { "quote": [ { "…": "5 fields" } ], "adjclose": [ { "…": "1 fields" } ] } }, "searchMatch": { "…": "15 fields" } } ``` *** ### 🧾 Data table | Field | Type | Description | | --- | --- | --- | | `symbol` | text | Symbol | | `shortName` | text | Name | | `quoteType` | text | Type | | `exchange` | text | Exchange | | `currency` | text | Currency | | `regularMarketPrice` | number | Price | | `regularMarketChange` | number | Change | | `regularMarketChangePercent` | number | Change % | | `regularMarketVolume` | number | Volume | | `marketCap` | number | Market cap | | `regularMarketDayRange` | text | Day range | | `fiftyTwoWeekRange` | text | 52-week range | | `trailingPE` | number | Trailing P/E | | `quote` | object | Full quote | | `summary` | object | Summary & financials | | `chart` | object | Price history | | `searchMatch` | object | Search match | *** ### πŸ’° Pricing β€” pay per result This actor uses **pay-per-event** pricing: you pay only for the rows it delivers. | You scrape | Price | | --- | --- | | **Symbol data row** | **$2.00 per 1,000 rows** | *** ### πŸ”Œ Use the Yahoo Finance Scraper via API Run it programmatically with the [Apify API](https://docs.apify.com/api/v2): ```bash curl -X POST "https://api.apify.com/v2/acts/yahoofinance-api-scraper/runs?token=YOUR_TOKEN" \ -H 'Content-Type: application/json' \ -d '{ "query": "apple", "resultsPerQuery": 1, "includeSummary": true, "includeHistory": false, "historyRange": "1mo", "historyInterval": "1d", "region": "US", "lang": "en-US", "maxItems": 0, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' ``` Or with the Apify CLI: `apify call yahoofinance-api-scraper -i input.json -o`. *** ### ❓ FAQ **Do I need an account or API key for Yahoo Finance?** No. The actor talks to Yahoo Finance's public/mobile API for you β€” you only need an Apify account. **Do I need a proxy?** A proxy is recommended for reliable runs; set `proxyConfiguration` (Residential is safest for geo-restricted or bot-protected sites). **What export formats are supported?** JSON, CSV, Excel, XML, JSONL, RSS, or live via the Apify API and dataset endpoints. **Is scraping this legal?** You are responsible for how you use the data. Scrape only public record data and comply with Yahoo Finance.com's Terms and applicable law (e.g. GDPR/CCPA for personal data). *** ### πŸ› οΈ How it works The actor impersonates Yahoo Finance's official app/site and calls its private API the same way the app does, then normalises each response into the flat record above. No browser, no HTML scraping β€” just clean, structured data. *** ### πŸ“Œ Good to know - Scrape only public record data and respect Yahoo Finance.com's Terms of Service and robots policy. - For personal data, comply with GDPR/CCPA and applicable law β€” you are the data controller. - Fields can be `null` when Yahoo Finance doesn't expose them for a given record. *** ### ⭐ Found this useful? Give the **Yahoo Finance Scraper** a star on Apify and check out my other `apify-*-api-scraper` actors. # Actor input Schema ## `query` (type: `string`): A human-friendly search string (e.g. 'apple', 'tesla', 'S\&P 500', 'bitcoin'). Resolved to the best-matching symbol via Yahoo's own mobile search endpoint. ## `symbols` (type: `array`): Optional explicit ticker symbols (e.g. AAPL, MSFT, BTC-USD). Advanced: bypasses search resolution. ## `resultsPerQuery` (type: `integer`): How many matching symbols to keep from each search term. ## `includeSummary` (type: `boolean`): Fetch the full company summary/financials detail (30 quoteSummary modules) for each symbol. ## `includeHistory` (type: `boolean`): Fetch a price-history time series (chart) for each symbol. ## `historyRange` (type: `string`): Range for price history when enabled. ## `historyInterval` (type: `string`): Candle interval for price history. ## `region` (type: `string`): Market region code (e.g. US, GB, DE). ## `lang` (type: `string`): Language code (e.g. en-US). ## `maxItems` (type: `integer`): 0 = all resolved symbols. ## `proxyConfiguration` (type: `object`): Route requests through a proxy (Apify Proxy by default). ## Actor input object example ```json { "query": "apple", "resultsPerQuery": 1, "includeSummary": true, "includeHistory": false, "historyRange": "1mo", "historyInterval": "1d", "region": "US", "lang": "en-US", "maxItems": 0, "proxyConfiguration": { "useApifyProxy": true } } ``` # Actor output Schema ## `results` (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": "apple", "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("rl1987/yahoofinance-api-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 = { "query": "apple", "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("rl1987/yahoofinance-api-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 '{ "query": "apple", "proxyConfiguration": { "useApifyProxy": true } }' | apify call rl1987/yahoofinance-api-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=rl1987/yahoofinance-api-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Yahoo Finance API Scraper", "description": "Yahoo Finance market data via the mobile API: real-time quotes, symbol search, and full company summary/financials. Human-friendly inputs (search terms) resolved through Yahoo's own mobile search endpoint.", "version": "0.0", "x-build-id": "5XZhM6JLnaeIwLBJd" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/rl1987~yahoofinance-api-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-rl1987-yahoofinance-api-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/rl1987~yahoofinance-api-scraper/runs": { "post": { "operationId": "runs-sync-rl1987-yahoofinance-api-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/rl1987~yahoofinance-api-scraper/run-sync": { "post": { "operationId": "run-sync-rl1987-yahoofinance-api-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "query": { "title": "Search term", "type": "string", "description": "A human-friendly search string (e.g. 'apple', 'tesla', 'S&P 500', 'bitcoin'). Resolved to the best-matching symbol via Yahoo's own mobile search endpoint." }, "symbols": { "title": "Symbols", "type": "array", "description": "Optional explicit ticker symbols (e.g. AAPL, MSFT, BTC-USD). Advanced: bypasses search resolution.", "items": { "type": "string" } }, "resultsPerQuery": { "title": "Symbols per search term", "type": "integer", "description": "How many matching symbols to keep from each search term.", "default": 1 }, "includeSummary": { "title": "Include summary & financials", "type": "boolean", "description": "Fetch the full company summary/financials detail (30 quoteSummary modules) for each symbol.", "default": true }, "includeHistory": { "title": "Include price history", "type": "boolean", "description": "Fetch a price-history time series (chart) for each symbol.", "default": false }, "historyRange": { "title": "History range", "enum": [ "1d", "5d", "1mo", "3mo", "6mo", "1y", "2y", "5y", "10y", "ytd", "max" ], "type": "string", "description": "Range for price history when enabled.", "default": "1mo" }, "historyInterval": { "title": "History interval", "enum": [ "1m", "5m", "15m", "30m", "1h", "1d", "1wk", "1mo" ], "type": "string", "description": "Candle interval for price history.", "default": "1d" }, "region": { "title": "Region", "type": "string", "description": "Market region code (e.g. US, GB, DE).", "default": "US" }, "lang": { "title": "Language", "type": "string", "description": "Language code (e.g. en-US).", "default": "en-US" }, "maxItems": { "title": "Max items", "type": "integer", "description": "0 = all resolved symbols.", "default": 0 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Route requests through a proxy (Apify Proxy by default).", "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 } } } } } } } } } } ```