# Google Finance Intraday Scraper (`thescrappa/google-finance-intraday-scraper`) Actor Scrape minute-level intraday price and volume graph data from Google Finance for charting, dashboards, trading research, and market monitoring workflows. - **URL**: https://apify.com/thescrappa/google-finance-intraday-scraper.md - **Developed by:** [Scrappa](https://apify.com/thescrappa) (community) - **Categories:** Business, Developer tools, Automation - **Stats:** 2 total users, 1 monthly users, 83.3% 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 Intraday Scraper Scrape minute-level intraday price and volume graph data from Google Finance for charting, trading dashboards, watchlists, market monitoring, and research workflows. The actor wraps Scrappa's `/api/google-finance/intraday` endpoint and writes one Apify dataset item per intraday graph point. ### What you get - Minute-level intraday price points - Price, change, percent change, and volume per point - Symbol, exchange, and currency metadata - Batch input so you can fetch multiple tickers in one Apify run - Run-level summary saved to key-value store record `OUTPUT` ### Input ```json { "symbols": [ { "symbol": "AAPL", "exchange": "NASDAQ" }, { "symbol": "MSFT", "exchange": "NASDAQ" } ], "hl": "en", "gl": "us" } ```` `exchange` is optional, but recommended. Without it, Scrappa attempts to resolve the exchange before fetching intraday graph data, which can add latency and may fail for ambiguous symbols. ### Output The dataset contains one item per intraday graph point: ```json { "position": 1, "date": "Jun 16 2025, 09:30 AM UTC-04:00", "date_iso": "2025-06-16T13:30:00.000Z", "price": 198.42, "change": 1.25, "percent_change": 0.63, "volume": 3482103, "symbol": "AAPL", "exchange": "NASDAQ", "currency": "USD", "request_symbol": "AAPL", "request_exchange": "NASDAQ", "request_hl": "en", "request_gl": "us" } ``` ### Notes Intraday availability depends on Google Finance and the current trading session. Some symbols may return no data outside supported markets or sessions. For higher-volume Google Finance data extraction or direct API access, use Scrappa's Google Finance API at `https://scrappa.co/api/google-finance/intraday`. # Actor input Schema ## `symbols` (type: `array`): Ticker symbols to process in one Apify run. Batching avoids one run per ticker and keeps Apify overhead low. ## `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 { "symbols": [ { "symbol": "AAPL", "exchange": "NASDAQ" } ], "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 = { "symbols": [ { "symbol": "AAPL", "exchange": "NASDAQ" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("thescrappa/google-finance-intraday-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 = { "symbols": [{ "symbol": "AAPL", "exchange": "NASDAQ", }] } # Run the Actor and wait for it to finish run = client.actor("thescrappa/google-finance-intraday-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 '{ "symbols": [ { "symbol": "AAPL", "exchange": "NASDAQ" } ] }' | apify call thescrappa/google-finance-intraday-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=thescrappa/google-finance-intraday-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Finance Intraday Scraper", "description": "Scrape minute-level intraday price and volume graph data from Google Finance for charting, dashboards, trading research, and market monitoring workflows.", "version": "1.0", "x-build-id": "TJYEuKmf5bRcQaA7f" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/thescrappa~google-finance-intraday-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-thescrappa-google-finance-intraday-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-intraday-scraper/runs": { "post": { "operationId": "runs-sync-thescrappa-google-finance-intraday-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-intraday-scraper/run-sync": { "post": { "operationId": "run-sync-thescrappa-google-finance-intraday-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": [ "symbols" ], "properties": { "symbols": { "title": "Symbols", "minItems": 1, "type": "array", "description": "Ticker symbols to process in one Apify run. Batching avoids one run per ticker and keeps Apify overhead low.", "items": { "type": "object", "required": [ "symbol" ], "properties": { "symbol": { "title": "Symbol", "type": "string", "description": "Ticker symbol to fetch, such as AAPL, MSFT, TSLA, or VOO.", "minLength": 1, "maxLength": 20 }, "exchange": { "title": "Exchange", "type": "string", "description": "Google Finance exchange code, such as NASDAQ, NYSE, NSE, LON, TSE, or CRYPTO. Recommended to avoid symbol ambiguity.", "maxLength": 40 } } } }, "hl": { "title": "Language", "maxLength": 10, "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 } } } } } } } } } } ```