# Dividend & ETF Scraper (`sheshinmcfly/dividend-etf-scraper`) Actor Extract full dividend history and ETF data from Yahoo Finance by ticker: every dividend's ex-date and amount, trailing-twelve-month payout, plus ETF expense ratio, yield, top holdings, sector weightings and returns. No login or API key needed. Export to JSON, CSV or Excel. - **URL**: https://apify.com/sheshinmcfly/dividend-etf-scraper.md - **Developed by:** [Sheshinmcfly](https://apify.com/sheshinmcfly) (community) - **Categories:** News, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 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 ## Dividend & ETF Scraper Get **complete dividend histories and rich ETF data** for any stock or fund from Yahoo Finance — no login, no API key, no paid data provider. Feed it a list of tickers and receive clean structured JSON: every dividend a company has ever paid (ex-date + amount), trailing-twelve-month payout, plus for ETFs the expense ratio, yield, top holdings, sector weightings and historical returns. Perfect for dividend investors, income portfolios, ETF research and fintech apps. ### What data you get **Dividend history** (any dividend-paying stock or ETF): - Full list of dividends — each with ex-date and amount, sorted oldest to newest. - `dividendCount`, `firstDividendDate`, `lastDividendDate`, `latestDividend`. - `ttmDividend` — total dividends paid in the trailing twelve months. **ETF profile** (for funds/ETFs): - `category`, `family`, `legalType`, `expenseRatio`, `yield`. - `ytdReturn`, `threeYearReturn`, `fiveYearReturn`, `beta3Year`, `totalAssets`, `navPrice`, `inceptionDate`. - `holdings` — top holdings with symbol, name and weight. - `sectorWeightings` — allocation by sector. - `equityPriceToEarnings`, `equityPriceToBook`. ### How to use 1. Open the Actor and enter one or more **Ticker symbols** (e.g. `AAPL`, `SPY`, `KO`, `SCHD`). 2. Under **Data to extract**, pick **Dividend history**, **ETF profile**, or both. 3. Click **Start**. Results land in the dataset — export to JSON, CSV or Excel, or pull via the API. ### Use cases - **Dividend investors** — build a complete payout history and TTM yield for any watchlist. - **Income portfolios** — track dividend growth, frequency and cuts across holdings. - **ETF research** — compare expense ratios, yields, holdings overlap and sector exposure. - **Fintech & dashboards** — power a dividend calendar or ETF screener without scraping Yahoo yourself. - **Backtesting** — align historical dividend events with price data for total-return analysis. ### Input | Field | Type | Description | |-------|------|-------------| | `symbols` | array | Ticker symbols to fetch, e.g. `["AAPL","SPY","KO"]`. Required. | | `dataTypes` | array | Any of `dividends`, `etfProfile`. Default `["dividends"]`. | | `proxyConfiguration` | object | Apify proxy settings. Datacenter works; use Residential only if rate-limited. | ### Output Each dataset item is one symbol. Example (abridged): ```json { "symbol": "SPY", "dividends": [ { "date": "1993-03-19", "amount": 0.213 }, { "date": "2026-03-21", "amount": 1.797 } ], "dividendCount": 134, "lastDividendDate": "2026-03-21", "latestDividend": 1.797, "ttmDividend": 6.83, "etf": { "category": "Large Blend", "expenseRatio": 0.000945, "yield": 0.0098, "holdings": [{ "symbol": "NVDA", "name": "NVIDIA Corp", "holdingPercent": 0.0789 }], "sectorWeightings": [{ "sector": "technology", "weight": 0.34 }] }, "scrapedAt": "2026-06-15T00:00:00.000Z" } ```` ### Performance & cost The Actor calls Yahoo Finance's lightweight JSON endpoints — no headless browser — so runs are fast and cheap. Dividend history uses an open endpoint; ETF data shares a single cookie + token across the run. Cost scales with the number of symbols, billed per result (see pricing). ### Pricing This Actor uses **pay per result**: you are charged only for the symbols it returns. | What you pay for | Price | |------------------|-------| | Per result (one symbol) | $0.005 | No monthly rental and no platform fees beyond your Apify plan. ### Related actors Part of a financial-data toolkit — combine dividends and ETF data with prices, calendars and on-chain data: - **[SEC EDGAR Scraper](https://apify.com/sheshinmcfly/sec-edgar-scraper)** — company filings, Form 4 insider trades, XBRL financials and 13F fund holdings. - **[Yahoo Finance Scraper](https://apify.com/sheshinmcfly/yahoo-finance-scraper)** — real-time quotes, fundamentals and historical OHLCV by ticker. - **[Financial Calendar Scraper](https://apify.com/sheshinmcfly/financial-calendar-scraper)** — earnings, dividends, splits and IPO calendars from Nasdaq. - **[FinViz Stock Screener](https://apify.com/sheshinmcfly/finviz-stock-screener)** — top gainers, losers, valuation, technicals and ~50 fields per stock. - **[Etherscan Top Holders](https://apify.com/sheshinmcfly/etherscan-top-holders)** — top token holders and balances on Ethereum. ### Keywords dividend history, dividend scraper, ETF holdings, expense ratio, dividend yield, ex-dividend date, ETF data, dividend tracker, Yahoo Finance dividends, dividend growth, ETF sector weightings, income investing, dividend aristocrats, fund holdings. ### Disclaimer This Actor collects publicly available financial data for informational purposes only. It requires no login and accesses no private or personal data. The output is **not** financial advice — always verify figures with official sources before making investment decisions. Respect the data source's terms and use the collected data responsibly and in compliance with applicable laws. # Actor input Schema ## `symbols` (type: `array`): Stock or ETF ticker symbols to fetch, e.g. AAPL, SPY, KO, VOO, SCHD. ## `dataTypes` (type: `array`): Which data blocks to include for each symbol. ## `proxyConfiguration` (type: `object`): Apify datacenter proxies work for Yahoo Finance. Switch to Residential only if you hit rate limits. ## Actor input object example ```json { "symbols": [ "AAPL", "SPY", "KO" ], "dataTypes": [ "dividends" ], "proxyConfiguration": { "useApifyProxy": true } } ``` # Actor output Schema ## `dataset` (type: `string`): All extracted symbols stored in the default dataset. # 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": [ "AAPL", "SPY", "KO" ], "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("sheshinmcfly/dividend-etf-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": [ "AAPL", "SPY", "KO", ], "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("sheshinmcfly/dividend-etf-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": [ "AAPL", "SPY", "KO" ], "proxyConfiguration": { "useApifyProxy": true } }' | apify call sheshinmcfly/dividend-etf-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=sheshinmcfly/dividend-etf-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Dividend & ETF Scraper", "description": "Extract full dividend history and ETF data from Yahoo Finance by ticker: every dividend's ex-date and amount, trailing-twelve-month payout, plus ETF expense ratio, yield, top holdings, sector weightings and returns. No login or API key needed. Export to JSON, CSV or Excel.", "version": "0.1", "x-build-id": "lZuhXjEZcf7ibcjgg" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/sheshinmcfly~dividend-etf-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-sheshinmcfly-dividend-etf-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/sheshinmcfly~dividend-etf-scraper/runs": { "post": { "operationId": "runs-sync-sheshinmcfly-dividend-etf-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/sheshinmcfly~dividend-etf-scraper/run-sync": { "post": { "operationId": "run-sync-sheshinmcfly-dividend-etf-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Ticker symbols", "type": "array", "description": "Stock or ETF ticker symbols to fetch, e.g. AAPL, SPY, KO, VOO, SCHD.", "items": { "type": "string" } }, "dataTypes": { "title": "Data to extract", "type": "array", "description": "Which data blocks to include for each symbol.", "items": { "type": "string", "enum": [ "dividends", "etfProfile" ], "enumTitles": [ "Dividend history (full ex-date + amount series, TTM, latest)", "ETF profile (expense ratio, yield, holdings, sector weightings, returns)" ] }, "default": [ "dividends" ] }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Apify datacenter proxies work for Yahoo Finance. Switch to Residential only if you hit rate limits.", "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 } } } } } } } } } } ```