# Yahoo Finance Options & IV Scraper (Cheap and Fast) πŸ“ˆ (`ahmed_jasarevic/yahoo-finance-options`) Actor Extract Yahoo Finance options chain with real-time Implied Volatility (IV), Open Interest, and Volume. Output is perfectly flattened for Excel, CSV, and Google Sheets. - **URL**: https://apify.com/ahmed\_jasarevic/yahoo-finance-options.md - **Developed by:** [Ahmed Jasarevic](https://apify.com/ahmed_jasarevic) (community) - **Categories:** Automation, Developer tools, Other - **Stats:** 1 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $1.20 / 1,000 results 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 Options & IV Scraper πŸ“ˆ A high-performance Apify Actor designed to extract real-time **Options Chain** data directly from Yahoo Finance. Unlike other scrapers, this tool handles complex session management (Cookies & Crumb bypass) and provides a **Flattened Data Structure**β€”perfect for traders, analysts, and Excel users. ### Why choose this Scraper? πŸš€ * **Implied Volatility (IV)**: Get the raw IV data for every strike, essential for risk assessment. * **Flattened Format**: Every option (Call/Put) is a separate row. No more messy nested JSONβ€”just clean, CSV-ready data. * **Crumb & Session Bypass**: Automatically handles Yahoo’s advanced bot protection. * **Real-Time Metadata**: Includes `stockPrice`, `openInterest`, `volume`, and `In-The-Money (ITM)` status. * **Super Fast**: Lightweight and efficient, saving you Apify compute units. --- ### πŸ›  Input Configuration The Actor is simple to configure. You can provide a list of tickers and set a limit on how many options you want per stock. | Field | Type | Default | Description | | :--- | :--- | :--- | :--- | | **tickers** | Array | `["AAPL"]` | List of stock symbols (e.g., `["TSLA", "NVDA", "BTC-USD"]`). | | **limitPerTicker** | Integer | `20` | Number of Calls and Puts to fetch per ticker. | | **proxyConfiguration** | Object | Required | Recommended: **Residential Proxy** for maximum reliability. | #### Example Input JSON ```json { "tickers": ["AAPL", "TSLA", "GOOGL"], "limitPerTicker": 50, "proxyConfiguration": { "useApifyProxy": true } } ```` *** ### πŸ“Š Data Output (Flattened for Excel) The output is structured so that each row represents a single Option contract. This makes it incredibly easy to filter and analyze in Google Sheets, Excel, or Python. #### Example Output: ```json { "ticker": "GOOGL", "stockPrice": 319.43, "type": "PUT", "symbol": "GOOGL260413P00272500", "strike": 272.5, "price": 0.02, "iv": "106.25%", "openInterest": 1, "volume": 0, "itm": false, "expiration": "2026-04-13", "scrapedAt": "2026-04-13T17:25:54.396Z" } ``` *** ### πŸ’‘ Use Cases - **Volatility Analysis**: Track Implied Volatility (IV) changes to predict market moves. - **Options Flow**: Monitor Open Interest and Volume to see where big money is moving. - **Trading Bots**: Feed clean, real-time options data into your automated trading strategies. - **Market Research**: Historical expiration tracking and strike price comparison. ### βš–οΈ Pricing This Actor uses the **Pay-per-result** model. Since each option is a result, you only pay for the specific contracts you extract. *** *Crafted with precision for professional traders. If you find this tool helpful, please leave a ⭐ review!* *** # Actor input Schema ## `tickers` (type: `array`): List of stocks for which you want options (e.g., AAPL, TSLA, NVDA). ## `limitPerTicker` (type: `integer`): Number of Call and Put options to be extracted per ticker. ## `proxyConfiguration` (type: `object`): Recommended: Residential Proxy to avoid blocking by Yahoo. ## Actor input object example ```json { "tickers": [ "AAPL", "TSLA" ], "limitPerTicker": 20, "proxyConfiguration": { "useApifyProxy": true } } ``` # 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 = { "tickers": [ "AAPL", "TSLA" ], "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("ahmed_jasarevic/yahoo-finance-options").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 = { "tickers": [ "AAPL", "TSLA", ], "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("ahmed_jasarevic/yahoo-finance-options").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 '{ "tickers": [ "AAPL", "TSLA" ], "proxyConfiguration": { "useApifyProxy": true } }' | apify call ahmed_jasarevic/yahoo-finance-options --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ahmed_jasarevic/yahoo-finance-options", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Yahoo Finance Options & IV Scraper (Cheap and Fast) πŸ“ˆ", "description": "Extract Yahoo Finance options chain with real-time Implied Volatility (IV), Open Interest, and Volume. Output is perfectly flattened for Excel, CSV, and Google Sheets.", "version": "0.0", "x-build-id": "R9FmgbCXlI7LDhbSy" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ahmed_jasarevic~yahoo-finance-options/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ahmed_jasarevic-yahoo-finance-options", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/ahmed_jasarevic~yahoo-finance-options/runs": { "post": { "operationId": "runs-sync-ahmed_jasarevic-yahoo-finance-options", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/ahmed_jasarevic~yahoo-finance-options/run-sync": { "post": { "operationId": "run-sync-ahmed_jasarevic-yahoo-finance-options", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "tickers" ], "properties": { "tickers": { "title": "Stock Tickers", "type": "array", "description": "List of stocks for which you want options (e.g., AAPL, TSLA, NVDA).", "items": { "type": "string" } }, "limitPerTicker": { "title": "Limit per Ticker", "minimum": 1, "type": "integer", "description": "Number of Call and Put options to be extracted per ticker.", "default": 20 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Recommended: Residential Proxy to avoid blocking by Yahoo." } } }, "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 } } } } } } } } } } ```