# Google Finance Quote Scraper (`thescrappa/google-finance-quote-scraper`) Actor Scrape complete Google Finance quote data for a ticker, including current quote summary, key stats, company profile, financials, news, and related tickers. - **URL**: https://apify.com/thescrappa/google-finance-quote-scraper.md - **Developed by:** [Scrappa](https://apify.com/thescrappa) (community) - **Categories:** Business, Developer tools, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## Google Finance Quote Scraper Scrape complete ticker quote data from Google Finance for market research, portfolio monitoring, enrichment workflows, and investment dashboards. The actor wraps Scrappa's `/api/google-finance/quote` endpoint and returns a structured Apify dataset item for the requested ticker. ### What you get - Current ticker quote summary: name, symbol, exchange, price, currency, price change, percent change, and market status - Key statistics such as previous close, day range, year range, market cap, volume, P/E ratio, dividend yield, and other fields exposed by Google Finance - Company profile/about data - Financial statement rows with quarterly or annual period filtering - Recent news items - Related tickers from Google Finance discovery sections - Full Scrappa response saved to key-value store record `OUTPUT` ### Input ```json { "symbol": "AAPL", "exchange": "NASDAQ", "period_type": "quarterly", "hl": "en", "gl": "us" } ```` `exchange` is optional, but recommended. Without it, Scrappa attempts to resolve the exchange before fetching the quote, which can add latency and may fail for ambiguous symbols. ### Output The dataset contains one quote item for the requested ticker: ```json { "symbol": "AAPL", "exchange": "NASDAQ", "name": "Apple Inc", "current_price": 198.53, "currency": "USD", "price_change": 1.18, "percent_change": 0.6, "market_status": "Closed", "key_stats": { "Previous close": "197.35", "Market cap": "2.96T USD" }, "about": { "description": "Apple Inc. is an American multinational technology company..." }, "financials": [], "news": [], "related_tickers": [], "request_symbol": "AAPL", "request_exchange": "NASDAQ", "request_period_type": "quarterly", "request_hl": "en", "request_gl": "us" } ``` ### Notes For higher-volume Google Finance data extraction or direct API access, use Scrappa's Google Finance API at `https://scrappa.co/api/google-finance/quote`. # Actor input Schema ## `symbol` (type: `string`): Ticker symbol to fetch, such as AAPL, MSFT, TSLA, or VOO. ## `exchange` (type: `string`): Google Finance exchange code, such as NASDAQ, NYSE, NSE, LON, or TSE. Recommended to avoid symbol ambiguity. ## `period_type` (type: `string`): Financial statement period filter. ## `hl` (type: `string`): Google Finance language code, such as en, de, es, or zh-cn. ## `gl` (type: `string`): Two-letter country code, such as us, gb, de, or ca. ## Actor input object example ```json { "symbol": "AAPL", "exchange": "NASDAQ", "period_type": "quarterly", "hl": "en", "gl": "us" } ``` # 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 = { "symbol": "AAPL", "exchange": "NASDAQ" }; // Run the Actor and wait for it to finish const run = await client.actor("thescrappa/google-finance-quote-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 = { "symbol": "AAPL", "exchange": "NASDAQ", } # Run the Actor and wait for it to finish run = client.actor("thescrappa/google-finance-quote-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 '{ "symbol": "AAPL", "exchange": "NASDAQ" }' | apify call thescrappa/google-finance-quote-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=thescrappa/google-finance-quote-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Finance Quote Scraper", "description": "Scrape complete Google Finance quote data for a ticker, including current quote summary, key stats, company profile, financials, news, and related tickers.", "version": "1.0", "x-build-id": "X4JSxTttV2fySGWJm" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/thescrappa~google-finance-quote-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-thescrappa-google-finance-quote-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/thescrappa~google-finance-quote-scraper/runs": { "post": { "operationId": "runs-sync-thescrappa-google-finance-quote-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/thescrappa~google-finance-quote-scraper/run-sync": { "post": { "operationId": "run-sync-thescrappa-google-finance-quote-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": [ "symbol" ], "properties": { "symbol": { "title": "Symbol", "type": "string", "description": "Ticker symbol to fetch, such as AAPL, MSFT, TSLA, or VOO." }, "exchange": { "title": "Exchange", "type": "string", "description": "Google Finance exchange code, such as NASDAQ, NYSE, NSE, LON, or TSE. Recommended to avoid symbol ambiguity." }, "period_type": { "title": "Financials Period", "enum": [ "quarterly", "annual" ], "type": "string", "description": "Financial statement period filter.", "default": "quarterly" }, "hl": { "title": "Language", "type": "string", "description": "Google Finance language code, such as en, de, es, or zh-cn.", "default": "en" }, "gl": { "title": "Country", "maxLength": 2, "type": "string", "description": "Two-letter country code, such as us, gb, de, or ca.", "default": "us" } } }, "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 } } } } } } } } } } ```