# Yahoo Finance Quotes Scraper (`flamboyant_liner/yahoo-finance-quotes-scraper`) Actor

Live quotes with 90 market fields, company fundamentals (valuation, financials, key statistics, profile) and OHLCV price history for any Yahoo Finance symbol: stocks, ETFs, indices, crypto, FX and futures worldwide. No API key.

- **URL**: https://apify.com/flamboyant\_liner/yahoo-finance-quotes-scraper.md
- **Developed by:** [Khrystyna Skotte](https://apify.com/flamboyant_liner) (community)
- **Categories:** Lead generation, Automation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.80 / 1,000 records

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?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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 Scraper — quotes, fundamentals & price history

Any Yahoo Finance symbol in, structured data out — **stocks, ETFs, indices, crypto, FX and futures**,
US and international. Three data sets, pick any combination:

- **Quote** — live price and 40 market fields: change, volume, market cap, P/E (trailing & forward),
  EPS, price-to-book, 52-week range, moving averages, dividend yield, pre/post-market prices.
- **Fundamentals** — valuation and key statistics, financial data (margins, growth, cash, debt,
  analyst targets and recommendations), and the company profile (sector, industry, employees,
  officers, description).
- **Price history** — OHLCV candles with adjusted close, from 1-minute bars to monthly, up to full history.

No API key, no login, no browser. Batches 50 symbols per request.

### Input

| Field | Default | Notes |
|---|---|---|
| `symbols` | `["AAPL","MSFT","NVDA"]` | Yahoo symbols: `SPY`, `^GSPC`, `BTC-USD`, `EURUSD=X`, `GC=F`, `SAP.DE`, `7203.T` |
| `dataTypes` | `["quote"]` | Any of `quote`, `fundamentals`, `history` |
| `historyRange` | `1mo` | `1d` … `max` |
| `historyInterval` | `1d` | `1m` … `1mo` (intraday intervals are limited by Yahoo to recent ranges) |
| `maxItems` | `10` | One record per quote, per fundamentals set, or per candle |

### Output

```json
{ "dataType": "quote", "symbol": "AAPL", "shortName": "Apple Inc.", "exchange": "NMS", "currency": "USD", "regularMarketPrice": 319.97, "regularMarketChangePercent": 1.24, "regularMarketVolume": 48211300, "marketCap": 4669700046848, "trailingPE": 36.61, "forwardPE": 30.2, "fiftyTwoWeekLow": 169.21, "fiftyTwoWeekHigh": 325.9, "dividendYield": 0.33, "scrapedAt": "2026-09-06T20:00:00.000Z" }
{ "dataType": "history", "symbol": "AAPL", "date": "2026-09-05T13:30:00.000Z", "open": 316.1, "high": 321.4, "low": 315.2, "close": 319.97, "adjClose": 319.97, "volume": 48211300 }
{ "dataType": "fundamentals", "symbol": "AAPL", "financialData": { "totalRevenue": 416000000000, "grossMargins": 0.468, "targetMeanPrice": 335.2, "recommendationKey": "buy" }, "assetProfile": { "sector": "Technology", "industry": "Consumer Electronics", "fullTimeEmployees": 166000 } }
```

### Use cases

Portfolio and watchlist tracking, screening on valuation and growth fields, feeding pricing models
and backtests with clean OHLCV, and enriching company lists with sector, size and financials.

### Notes

- Symbols Yahoo does not know are skipped with a warning, never failing the run.
- Fundamentals modules are returned as nested objects with Yahoo's field names; numeric fields are unwrapped to plain numbers.

# Actor input Schema

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

Yahoo Finance symbols: stocks (AAPL), ETFs (SPY), indices (^GSPC), crypto (BTC-USD), FX (EURUSD=X), futures (GC=F), non-US listings (SAP.DE, 7203.T).

## `dataTypes` (type: `array`):

Quote = live price + 90 market fields. Fundamentals = valuation, financials, key statistics, company profile. History = OHLCV candles.

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

How far back for price history.

## `historyInterval` (type: `string`):

Candle size for price history.

## `maxItems` (type: `integer`):

Cap on records (one per quote, per fundamentals set, or per candle).

## `proxyConfiguration` (type: `object`):

Optional. Yahoo answers datacenter IPs; residential is only needed at very high volume.

## Actor input object example

```json
{
  "symbols": [
    "AAPL",
    "MSFT",
    "NVDA"
  ],
  "dataTypes": [
    "quote"
  ],
  "historyRange": "1mo",
  "historyInterval": "1d",
  "maxItems": 10,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `records` (type: `string`):

Dataset of quotes, fundamentals and candles (JSON).

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("flamboyant_liner/yahoo-finance-quotes-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("flamboyant_liner/yahoo-finance-quotes-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 '{}' |
apify call flamboyant_liner/yahoo-finance-quotes-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,flamboyant_liner/yahoo-finance-quotes-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/RE2a8zJsGj0w6BsEG/builds/Mr0ZKf5Lbv9ep5Myh/openapi.json