# Yahoo Finance Scraper (Quotes, Fundamentals, Financials, News) (`webdatatools/yahoo-finance-scraper`) Actor

Scrape Yahoo Finance for any ticker: live-delayed price, market cap, P/E, EPS, dividends, sector, employees, analyst targets and ratings, plus optional income statements, balance sheet, cash flow, ownership, insider trades, news and price history. No API key.

- **URL**: https://apify.com/webdatatools/yahoo-finance-scraper.md
- **Developed by:** [Murat Uzun](https://apify.com/webdatatools) (community)
- **Categories:** Business, AI, Developer tools
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.90 / 1,000 symbols

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

### What is Yahoo Finance Scraper?

Yahoo Finance Scraper pulls **[Yahoo Finance](https://finance.yahoo.com)** data for any ticker into one clean row per symbol: **price, change, volume, market cap, P/E, EPS, beta, dividend yield, 52-week range, sector, industry, employees, business description, margins, cash and debt, analyst price targets and ratings, next earnings date** — and, when you ask for them, **income statements, balance sheet, cash flow, EPS actual vs. estimate, institutional and insider ownership, insider transactions, recent news and daily OHLCV history**. Stocks, ETFs, international listings, indices, crypto, FX and futures all work. No Yahoo account and no API key. Run it from the Apify Console, the API, a schedule, or an AI agent through MCP.

### What data does Yahoo Finance Scraper extract?

| Group | Fields |
| --- | --- |
| Quote | `symbol`, `name`, `quoteType`, `exchange`, `currency`, `marketState`, `price`, `change`, `changePercent`, `previousClose`, `open`, `dayHigh`, `dayLow`, `volume`, `averageVolume`, `fiftyTwoWeekHigh`, `fiftyTwoWeekLow` |
| Valuation | `marketCap`, `trailingPE`, `forwardPE`, `trailingEps`, `priceToBook`, `beta`, `dividendYield`, `exDividendDate`, `sharesOutstanding` |
| Company | `sector`, `industry`, `country`, `website`, `employees`, `description` |
| Financial health | `totalRevenue`, `revenueGrowth`, `grossMargins`, `operatingMargins`, `profitMargins`, `returnOnEquity`, `totalCash`, `totalDebt`, `debtToEquity`, `freeCashflow` |
| Analysts | `targetMeanPrice`, `targetHighPrice`, `targetLowPrice`, `recommendation`, `analystCount`, `analystRatings` (strong buy … strong sell), `nextEarningsDate` |
| Optional | `financials` (annual + quarterly income, annual balance sheet and cash flow, quarterly EPS vs estimate), `ownership` (insider/institutional %, top holders, insider trades), `news`, `history` (daily OHLCV + adjusted close) |

### How to use Yahoo Finance Scraper

1. Enter **Symbols** exactly as Yahoo Finance writes them: `AAPL`, `SPY`, `VOD.L` (London), `7203.T` (Tokyo), `THYAO.IS` (Istanbul), `^GSPC`, `BTC-USD`, `EURUSD=X`, `GC=F`.
2. Turn on **Include financial statements** and/or **Include ownership** if you need them.
3. Choose how many **news articles** to attach and an optional **price history** range.
4. Click **Start** and export the dataset as JSON, CSV, Excel or HTML, or read it through the API.

### Example input

```json
{
    "symbols": ["NVDA", "THYAO.IS", "VOD.L", "BTC-USD"],
    "includeFinancials": true,
    "includeOwnership": true,
    "newsCount": 3,
    "historyRange": "1mo"
}
```

### Example output (trimmed)

```json
{
    "symbol": "AAPL",
    "name": "Apple Inc.",
    "exchange": "NasdaqGS",
    "currency": "USD",
    "price": 333.69,
    "marketCap": 4869931925504,
    "trailingPE": 38.31,
    "sector": "Technology",
    "employees": 150000,
    "targetMeanPrice": 328.09384,
    "recommendation": "buy",
    "analystRatings": { "strongBuy": 6, "buy": 19, "hold": 13, "sell": 3, "strongSell": 3 },
    "financials": { "incomeAnnual": [{ "endDate": "2025-09-30", "totalRevenue": 416161000000, "netIncome": 112010000000 }] },
    "news": [{ "title": "…", "publisher": "…", "url": "https://…", "publishedAt": "…" }],
    "url": "https://finance.yahoo.com/quote/AAPL"
}
```

### How much does it cost?

**Pricing:** Yahoo Finance Scraper costs **$1.50 per 1,000 symbols** on the free plan, with volume discounts on paid plans — financial statements, ownership, news and price history included in that one row (pay per result, platform usage included).

Tracking a 100-stock watchlist daily costs about $4.50 a month. A symbol Yahoo doesn't know is reported in the run's ERRORS record and is not charged.

### Use cases

- **Stock screeners and watchlists** — valuation, margins and analyst targets for a list of tickers, refreshed on a schedule.
- **Fundamental research** — annual and quarterly statements plus EPS surprises in one dataset.
- **Ownership and insider monitoring** — who holds the stock and what insiders are buying or selling.
- **Feeding AI agents and dashboards** — one structured row per ticker, callable through the Apify MCP server.

### Limits

- Prices are Yahoo's public quotes, typically delayed 15-20 minutes for many exchanges. Do not use them to execute trades.
- Crypto, FX, indices and futures have quote and history data only — company, financial and ownership fields are `null` for them.
- Yahoo only returns news for symbols it has recent articles for; `news` can be empty.
- Data comes from Yahoo's public website endpoints and can change without notice; the Actor is tested daily.

### FAQ

**Do I need a Yahoo Finance or RapidAPI key?** No. The Actor uses the same public endpoints the Yahoo Finance website uses.

**How do I find the right symbol for a non-US stock?** Search the company on finance.yahoo.com and copy the ticker from the URL — it carries the exchange suffix (`.L`, `.T`, `.IS`, `.DE`, `.HK`…).

**Is this investment advice?** No. It retrieves publicly available market data for information only.

**Is scraping Yahoo Finance legal?** The Actor reads public pages and data without logging in. You are responsible for complying with Yahoo's terms and for how you use the data.

### Related Actors

Part of the **webdatatools** web-intelligence suite — every Actor is pay-per-event, reads public data
without a login, and returns one clean row per entity:

Browse the whole suite at [webdatatools](https://paulet4a-commits.github.io/webdatatools/), or call ten of
these Actors straight from Claude, Cursor or Cline with the
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# Actor input Schema

## `symbols` (type: `array`):

Yahoo Finance tickers, one per line: stocks and ETFs (AAPL, SPY), international listings (VOD.L, 7203.T, THYAO.IS), indices (^GSPC), crypto (BTC-USD), FX (EURUSD=X), futures (GC=F).

## `includeFinancials` (type: `boolean`):

Add annual and quarterly income statements, annual balance sheet and cash flow, and quarterly EPS actual vs estimate (stocks only).

## `includeOwnership` (type: `boolean`):

Add insider and institutional ownership percentages, the top 10 institutional holders and recent insider transactions (stocks only).

## `newsCount` (type: `integer`):

Recent news headlines to attach to each symbol, e.g. 5. Set 0 for none.

## `historyRange` (type: `string`):

Optional. Attach daily OHLCV price history for this range.

## `proxyMode` (type: `string`):

auto: direct connection, Apify Residential (US) only if Yahoo refuses it. always: Residential from the start. never: direct only.

## Actor input object example

```json
{
  "symbols": [
    "AAPL",
    "MSFT"
  ],
  "includeFinancials": false,
  "includeOwnership": false,
  "newsCount": 5,
  "historyRange": "none",
  "proxyMode": "auto"
}
```

# Actor output Schema

## `results` (type: `string`):

All symbols from this run.

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "symbols": [
        "AAPL",
        "MSFT"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("webdatatools/yahoo-finance-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "symbols": [
        "AAPL",
        "MSFT",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("webdatatools/yahoo-finance-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).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",
    "MSFT"
  ]
}' |
apify call webdatatools/yahoo-finance-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,webdatatools/yahoo-finance-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/Qwb8hWyPOOkLfBFBm/builds/zJsIcsoN3AdVHyNRr/openapi.json