# Yahoo Finance Scraper: Quotes, Fundamentals & Movers (`scrapemint/yahoo-finance-scraper`) Actor

Yahoo Finance quotes for any stock, ETF, index or crypto with 90+ fields: price, valuation, margins, cash and debt, analyst targets and ratings, rating changes, earnings dates, ETF holdings and company profile. Plus gainers, losers, most active, trending, 52-week movers, crypto and screeners.

- **URL**: https://apify.com/scrapemint/yahoo-finance-scraper.md
- **Developed by:** [Ken M](https://apify.com/scrapemint) (community)
- **Categories:** Business, News
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $4.00 / 1,000 full quotes

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/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

## Yahoo Finance Scraper: Quotes, Fundamentals & Movers

Data from **Yahoo Finance** for any stock, ETF, index, crypto, currency or future, and Yahoo's market lists:

- **Quotes:** price, change, volume, pre/post-market, 52-week range, moving averages and market cap
- **Valuation:** P/E (trailing and forward), PEG, price/book, price/sales, EV/revenue, EV/EBITDA, EPS
- **Financials:** revenue and growth, margins, EBITDA, cash, debt, debt/equity, ROE, ROA, free cash flow
- **Ownership and shorts:** shares outstanding, float, insider and institutional %, short % of float, short ratio
- **Analysts:** recommendation, number of analysts, mean/median/high/low **price targets** and upside, the buy/hold/sell split, and the **latest upgrades and downgrades** with firm and new target
- **Earnings and dividends:** next earnings date with EPS and revenue estimates, the last quarters' actual vs estimated EPS, dividend rate and yield, ex-dividend date
- **ETFs:** fund family, category, expense ratio, total assets, yield, **top holdings** with weights
- **Company profile:** sector, industry, employees, website, country and business description
- **Market lists:** day gainers, losers, most active, trending, 52-week gainers and losers, top ETFs, crypto by market cap, gainers and losers, plus Yahoo's research screeners (undervalued growth, most shorted, aggressive small caps...)

No Yahoo account, no API key, no proxy. $0.004 per full quote, $0.001 per list row, no start fee.

### What you get

Quote: `symbol`, `name`, `quoteType`, `exchange`, `currency`, `marketState`, `price`, `change`, `changePercent`, `previousClose`, `open`, `dayLow`, `dayHigh`, `volume`, `averageVolume3m`, `preMarketPrice`, `postMarketPrice`, `marketCap`, `fiftyTwoWeekLow`, `fiftyTwoWeekHigh`, `fiftyDayAverage`, `twoHundredDayAverage`, `beta`, `trailingPE`, `forwardPE`, `pegRatio`, `priceToBook`, `priceToSales`, `enterpriseValue`, `evToRevenue`, `evToEbitda`, `trailingEps`, `forwardEps`, `dividendRate`, `dividendYield`, `payoutRatio`, `exDividendDate`, `sharesOutstanding`, `floatShares`, `shortPercentOfFloat`, `shortRatio`, `heldPercentInsiders`, `heldPercentInstitutions`, `revenue`, `revenueGrowth`, `earningsGrowth`, `grossMargins`, `operatingMargins`, `profitMargins`, `ebitda`, `totalCash`, `totalDebt`, `debtToEquity`, `currentRatio`, `returnOnEquity`, `returnOnAssets`, `freeCashflow`, `operatingCashflow`, `recommendation`, `recommendationMean`, `analystCount`, `targetMeanPrice`, `targetMedianPrice`, `targetHighPrice`, `targetLowPrice`, `targetUpside`, `analystRatings`, `latestRatingChanges`, `nextEarningsDate`, `earningsEstimateAvg`, `revenueEstimateAvg`, `recentQuarters`, `returnYtd`, `return1y`, `return3y`, `return5y`, `fundFamily`, `fundCategory`, `expenseRatio`, `totalAssets`, `fundYield`, `topHoldings`, `sector`, `industry`, `employees`, `website`, `country`, `city`, `description`, `url`

List row: `list`, `listTitle`, `rank`, `symbol`, `name`, `price`, `change`, `changePercent`, `volume`, `averageVolume3m`, `marketCap`, `peRatio`, `fiftyTwoWeekLow`, `fiftyTwoWeekHigh`, `fiftyTwoWeekChangePercent`, `sector`, `industry`, `exchange`, `analystRating`, `circulatingSupply`, `url`

### Example input

Full quotes for a watchlist:

```json
{
  "symbols": ["AAPL", "NVDA", "SPY", "BTC-USD", "^GSPC"]
}
```

Today's gainers and losers, with the full quote for each:

```json
{
  "lists": ["gainers", "losers"],
  "listDetails": true,
  "maxListRows": 25
}
```

A Yahoo screener:

```json
{
  "screeners": ["undervalued_growth_stocks"]
}
```

### Example output

```json
{
  "type": "quote",
  "symbol": "AAPL",
  "name": "Apple Inc.",
  "price": 343.46,
  "changePercent": 0.4269,
  "marketCap": 5012516765696,
  "trailingPE": 39.39,
  "forwardPE": 35.86,
  "revenueGrowth": 0.164,
  "profitMargins": 0.276,
  "recommendation": "buy",
  "analystCount": 39,
  "targetMeanPrice": 329.38,
  "targetUpside": -0.041,
  "analystRatings": { "strongBuy": 6, "buy": 19, "hold": 13, "sell": 3, "strongSell": 3 },
  "nextEarningsDate": "2026-11-02T20:00:00.000Z",
  "sector": "Technology",
  "industry": "Consumer Electronics",
  "url": "https://finance.yahoo.com/quote/AAPL/"
}
```

### Uses

- **Watchlists and dashboards:** schedule your tickers and get fundamentals, targets and earnings dates in one table
- **Stock screening:** pull a list or screener and the full quote for each name
- **Analyst tracking:** follow rating changes and target moves across a portfolio
- **ETF research:** expense ratios, assets and top holdings side by side

### Pricing

- **$0.004** per full quote
- **$0.001** per list or screener row
- No start fee. Unknown symbols and empty runs are free.

### Notes

- Each market list and screener returns its **top 100**. Yahoo's own pages show the same first 100.
- Ratios come as decimals: `0.164` revenue growth is 16.4%. `changePercent` on lists and quotes is already in percent.
- Indexes, crypto and currencies have no fundamentals or analysts; those fields are empty.
- Prices are as Yahoo shows them: real time for US stocks on Yahoo's free feed, delayed for some exchanges.
- Price history and options chains are not included. Use [Stock Price History](https://apify.com/scrapemint/stock-price-history-scraper) and [Stock Options](https://apify.com/scrapemint/stock-options-scraper).

# Actor input Schema

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

Tickers or Yahoo quote URLs: stocks (AAPL), ETFs (SPY), indexes (^GSPC), crypto (BTC-USD), currencies (EURUSD=X), futures (CL=F), foreign listings (VOD.L, 7203.T). One full quote row each.

## `lists` (type: `array`):

Yahoo's market lists, top 100 each.

## `screeners` (type: `array`):

Yahoo research screener ids or URLs, e.g. undervalued_growth_stocks, growth_technology_stocks, aggressive_small_caps, most_shorted_stocks, undervalued_large_caps, small_cap_gainers. Top 100 each.

## `listDetails` (type: `boolean`):

Fetch the full quote (fundamentals, analysts, profile) for every symbol in the lists and screeners, charged as quote rows. Off = the list's own columns.

## `maxListRows` (type: `integer`):

Top N of each list or screener, up to 100.

## Actor input object example

```json
{
  "symbols": [
    "AAPL",
    "NVDA",
    "SPY"
  ],
  "lists": [],
  "screeners": [],
  "listDetails": false,
  "maxListRows": 100
}
```

# Actor output Schema

## `rows` (type: `string`):

Quotes with fundamentals, analysts and profile; list rows with price, change, volume and market cap.

## `summary` (type: `string`):

Rows per source and any that failed.

# 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",
        "NVDA",
        "SPY"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapemint/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",
        "NVDA",
        "SPY",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("scrapemint/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",
    "NVDA",
    "SPY"
  ]
}' |
apify call scrapemint/yahoo-finance-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapemint/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/CcJt0mPWmxnBO0WMI/builds/YWZkQtZLHUv1Scp8i/openapi.json