# Google Finance Historical Prices Scraper (`thescrappa/google-finance-historical-prices-scraper`) Actor Scrape daily, weekly, or monthly historical price and volume time-series data from Google Finance for stock backtesting, charting, and market research workflows. - **URL**: https://apify.com/thescrappa/google-finance-historical-prices-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 $0.20 / 1,000 price points 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 ## Google Finance Historical Prices Scraper Scrape historical price and volume data from Google Finance for stock backtesting, charting, portfolio research, and market monitoring workflows. The actor wraps Scrappa's `/api/google-finance/historical` endpoint and writes one Apify dataset item per historical price point. ### What you get - Daily, weekly, or monthly historical price points - Close price, change, percent change, and volume per point - Symbol, exchange, currency, and previous close metadata - Preset ranges from 1 day to max, or a custom start/end date range - Full Scrappa response saved to key-value store record `OUTPUT` ### Input ```json { "symbol": "AAPL", "exchange": "NASDAQ", "range": 6, "interval": "daily", "hl": "en", "gl": "us" } ```` `exchange` is optional, but recommended. Without it, Scrappa attempts to resolve the exchange before fetching historical prices, which can add latency and may fail for ambiguous symbols. Use either `range` or both `start_date` and `end_date`. Do not send both a preset range and custom dates in the same run. ### Output The dataset contains one item per historical price point: ```json { "position": 1, "date": 1739480400, "date_iso": "2025-02-14", "close": 241.53, "change": 0, "percent_change": 0, "volume": 53614054, "symbol": "AAPL", "exchange": "NASDAQ", "currency": "USD", "previous_close": 275.5, "request_symbol": "AAPL", "request_exchange": "NASDAQ", "request_range": 6, "request_start_date": null, "request_end_date": null, "request_interval": "daily", "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/historical`. # 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. ## `range` (type: `integer`): Preset time range. Use either this or both start\_date and end\_date. ## `start_date` (type: `string`): Custom range start date in YYYY-MM-DD format. Must be used with end\_date and without range. ## `end_date` (type: `string`): Custom range end date in YYYY-MM-DD format. Must be used with start\_date and without range. ## `interval` (type: `string`): Historical data interval. ## `hl` (type: `string`): Google Finance language code, such as en, de, es, or zh-cn. ## `gl` (type: `string`): Country code, such as us, gb, de, or ca. ## Actor input object example ```json { "symbol": "AAPL", "exchange": "NASDAQ", "range": 6, "interval": "daily", "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", "range": 6 }; // Run the Actor and wait for it to finish const run = await client.actor("thescrappa/google-finance-historical-prices-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", "range": 6, } # Run the Actor and wait for it to finish run = client.actor("thescrappa/google-finance-historical-prices-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", "range": 6 }' | apify call thescrappa/google-finance-historical-prices-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=thescrappa/google-finance-historical-prices-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Finance Historical Prices Scraper", "description": "Scrape daily, weekly, or monthly historical price and volume time-series data from Google Finance for stock backtesting, charting, and market research workflows.", "version": "1.0", "x-build-id": "WSfvkon4YiGocXsuZ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/thescrappa~google-finance-historical-prices-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-thescrappa-google-finance-historical-prices-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/thescrappa~google-finance-historical-prices-scraper/runs": { "post": { "operationId": "runs-sync-thescrappa-google-finance-historical-prices-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/thescrappa~google-finance-historical-prices-scraper/run-sync": { "post": { "operationId": "run-sync-thescrappa-google-finance-historical-prices-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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." }, "range": { "title": "Range", "minimum": 1, "maximum": 8, "type": "integer", "description": "Preset time range. Use either this or both start_date and end_date." }, "start_date": { "title": "Start Date", "type": "string", "description": "Custom range start date in YYYY-MM-DD format. Must be used with end_date and without range." }, "end_date": { "title": "End Date", "type": "string", "description": "Custom range end date in YYYY-MM-DD format. Must be used with start_date and without range." }, "interval": { "title": "Interval", "enum": [ "daily", "weekly", "monthly" ], "type": "string", "description": "Historical data interval.", "default": "daily" }, "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": "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 } } } } } } } } } } ```