# Yahoo Finance Stock & Crypto Scraper (`parseforge/yahoo-finance-scraper`) Actor

Scrape stock and crypto price data from Yahoo Finance. Get OHLCV candles, 52-week highs/lows, market volume, and instrument metadata for any ticker symbol. Configure intervals from 1-minute to monthly across ranges from 1 day to max history.

- **URL**: https://apify.com/parseforge/yahoo-finance-scraper.md
- **Developed by:** [ParseForge](https://apify.com/parseforge) (community)
- **Categories:** Developer tools, Automation, Other
- **Stats:** 12 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $7.00 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

![ParseForge Banner](https://raw.githubusercontent.com/ParseForge/apify-assets/main/banner.jpg)

## 📈 Yahoo Finance Stock and Crypto Scraper

> 🚀 **Collect OHLCV price data for stocks, cryptocurrencies, forex pairs, and ETFs with customizable time intervals from 1 minute to monthly across any date range.**

> 🕒 Last updated: 2026-04-23

Whether you are a trader backtesting strategies, a financial analyst building pricing models, or a researcher studying market patterns, this scraper delivers structured price data for any symbol available on Yahoo Finance. Configure your symbols, pick a time interval, and get historical or intraday data in seconds.

No API keys, no coding, no manual chart scraping. Just enter your tickers, click Start, and download structured market data as JSON, CSV, or Excel.

| 🎯 Target | Yahoo Finance price data (stocks, crypto, forex, ETFs) |
|---|---|
| 🔎 Best for | Trading analysis, financial modeling, portfolio tracking, market research |

---

### 📋 What it does

- Collects open, high, low, close, and volume (OHLCV) data points for any Yahoo Finance symbol
- Supports stocks (AAPL, TSLA), crypto (BTC-USD, ETH-USD), forex (EUR=X), and ETFs (SPY, QQQ, VOO)
- Provides 8 time intervals from 1-minute to monthly and 10 date ranges from 1 day to max history
- Returns instrument metadata including 52-week highs/lows, current price, exchange, currency, and instrument type

---

### 🎬 Demo

🚧 Coming soon

---

### ⚙️ Input

<table>
<thead><tr><th>Field</th><th>Type</th><th>Description</th></tr></thead>
<tbody>
<tr><td>Max Items</td><td>integer</td><td>Free users: limited to 10 data points. Paid users: up to 1,000,000.</td></tr>
<tr><td>Symbols</td><td>string[]</td><td>Stock tickers, crypto pairs, forex symbols, or ETFs (e.g. AAPL, BTC-USD, EUR=X, SPY).</td></tr>
<tr><td>Interval</td><td>select</td><td>Time between data points: 1 Minute, 5 Minutes, 15 Minutes, 30 Minutes, 1 Hour, 1 Day, 1 Week, 1 Month.</td></tr>
<tr><td>Date Range</td><td>select</td><td>How far back to go: 1 Day, 5 Days, 1 Month, 3 Months, 6 Months, 1 Year, 2 Years, 5 Years, 10 Years, Max.</td></tr>
</tbody>
</table>

**Example 1: Daily stock data for one month**
```json
{
    "symbols": ["AAPL", "GOOGL", "BTC-USD"],
    "interval": "1d",
    "range": "1mo",
    "maxItems": 100
}
````

**Example 2: Hourly crypto data for 5 days**

```json
{
    "symbols": ["BTC-USD", "ETH-USD", "SOL-USD"],
    "interval": "1h",
    "range": "5d",
    "maxItems": 500
}
```

> ⚠️ **Good to Know**: Minute-level data is only available for recent dates (typically the last 7 to 30 days). Daily data goes back decades for established stocks. Each symbol takes about 1 second to process.

***

### 📊 Output

#### 🧾 Schema

Each data point includes OHLCV values plus instrument metadata with 18+ fields per record.

<details><summary>📦 Sample output 1 - Apple stock (daily)</summary>

```json
{
    "symbol": "AAPL",
    "name": "Apple Inc.",
    "exchange": "NasdaqGS",
    "currency": "USD",
    "date": "2026-04-08T13:30:00.000Z",
    "open": 195.42,
    "high": 197.15,
    "low": 194.88,
    "close": 196.73,
    "volume": 54231800,
    "currentPrice": 196.73,
    "fiftyTwoWeekHigh": 210.50,
    "fiftyTwoWeekLow": 155.20,
    "dayHigh": 197.15,
    "dayLow": 194.88,
    "marketVolume": 54231800,
    "instrumentType": "EQUITY",
    "scrapedAt": "2026-04-16T12:00:00.000Z"
}
```

</details>

<details><summary>📦 Sample output 2 - Bitcoin (hourly)</summary>

```json
{
    "symbol": "BTC-USD",
    "name": "Bitcoin USD",
    "exchange": "CCC",
    "currency": "USD",
    "date": "2026-04-15T14:00:00.000Z",
    "open": 68450.00,
    "high": 68920.00,
    "low": 68200.00,
    "close": 68780.00,
    "volume": 12500000,
    "currentPrice": 68780.00,
    "fiftyTwoWeekHigh": 73800.00,
    "fiftyTwoWeekLow": 38500.00,
    "instrumentType": "CRYPTOCURRENCY",
    "scrapedAt": "2026-04-16T12:00:00.000Z"
}
```

</details>

<details><summary>📦 Sample output 3 - EUR/USD forex pair</summary>

```json
{
    "symbol": "EUR=X",
    "name": "EUR/USD",
    "exchange": "CCY",
    "currency": "USD",
    "date": "2026-04-14T00:00:00.000Z",
    "open": 1.0892,
    "high": 1.0915,
    "low": 1.0875,
    "close": 1.0901,
    "volume": 0,
    "currentPrice": 1.0901,
    "fiftyTwoWeekHigh": 1.1275,
    "fiftyTwoWeekLow": 1.0345,
    "instrumentType": "CURRENCY",
    "scrapedAt": "2026-04-16T12:00:00.000Z"
}
```

</details>

***

### ✨ Why choose this scraper

| Feature | Details |
|---|---|
| All asset types in one tool | Stocks, crypto, forex, and ETFs from a single scraper |
| 8 time intervals | From 1-minute intraday to monthly candles |
| 10 date ranges | From 1 day to full historical record |
| 52-week highs and lows | Market context included in every record |
| Multiple symbols per run | Batch-collect data for dozens of tickers at once |
| Fast processing | About 1 second per symbol |
| Export as JSON, CSV, or Excel | Download structured data in the format you need |

***

### ✨ Why choose this Actor

| | Capability |
|---|---|
| 🎯 | **Built for the job.** Scoped specifically to this data source so you skip the parser engineering entirely. |
| 🔖 | **Structured output.** Clean, typed fields ready for analysis, dashboards, or downstream pipelines. |
| ⚡ | **Fast.** Optimized request patterns return results in seconds, not minutes. |
| 🔁 | **Always fresh.** Every run pulls live data, so the dataset reflects the source as of run time. |
| 🌐 | **No infra to manage.** Apify handles proxies, retries, scaling, scheduling, and storage. |
| 🛡️ | **Reliable.** Battle-tested across many runs and edge cases, with graceful error handling. |
| 🚫 | **No code required.** Configure in the UI, run from CLI, schedule via cron, or call from any language with the Apify SDK. |

> 📊 Production-grade structured data without the engineering overhead of building and maintaining your own scraper.

***

### 📈 How it compares

| Capability | This scraper | Manual chart browsing |
|---|---|---|
| Batch symbol collection | Dozens of tickers in one run | One chart at a time |
| Structured OHLCV output | Ready for analysis | Copy from charts |
| Flexible intervals | 8 options from 1 min to monthly | Limited chart controls |
| All asset types | Stocks, crypto, forex, ETFs | Separate pages |
| Export formats | JSON, CSV, Excel | Screenshot or manual copy |
| Automated scheduling | Daily or hourly monitoring | Manual visits |
| API access | Programmatic run and retrieval | Not available |

***

### 🚀 How to use

1. [Create a free Apify account](https://console.apify.com/sign-up?fpr=vmoqkp) (includes $5 credit)
2. Search for **Yahoo Finance Scraper** in the Apify Store
3. Enter your symbols, pick an interval and date range
4. Click **Start** and wait for results
5. Download your data as JSON, CSV, or Excel

***

### 💼 Business cases

| Use case | How it helps |
|---|---|
| Algorithmic trading | Feed historical OHLCV data into backtesting and ML models |
| Portfolio monitoring | Track holdings and benchmark performance with automated daily pulls |
| Financial analysis | Build pricing models across stocks, crypto, and forex with structured data |
| Market research | Study correlations, volatility, and trends across asset classes |

***

***

### 💼 Business use cases

<table>
<tr>
<td width="50%" valign="top">

#### 📊 Data & Analytics

- Build trend reports and dashboards from live source data
- Feed BI tools, warehouses, and ML pipelines with structured records
- Run periodic snapshots to track changes over time
- Compare segments, regions, or categories with consistent fields

</td>
<td width="50%" valign="top">

#### 🏢 Operations & Strategy

- Monitor competitor moves, pricing, and inventory shifts
- Build internal directories and lookup tools backed by current data
- Power workflows that depend on fresh source records
- Cut manual data-gathering time from hours to minutes

</td>
</tr>
<tr>
<td width="50%" valign="top">

#### 🎯 Marketing & Growth

- Identify market opportunities and trending topics
- Research target audiences and customer personas at scale
- Power lead-generation pipelines with verified records
- Track sentiment, reviews, or social signals over time

</td>
<td width="50%" valign="top">

#### 🛠️ Engineering & Product

- Prototype features that need real-world data without owning a crawler
- Replace fragile in-house scrapers with a managed Actor
- Wire datasets into your apps via the Apify API or webhooks
- Skip the proxy, retry, and parsing maintenance entirely

</td>
</tr>
</table>

***

### 🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

<table>
<tr>
<td width="50%">

#### 🎓 Research and academia

- Empirical datasets for papers, thesis work, and coursework
- Longitudinal studies tracking changes across snapshots
- Reproducible research with cited, versioned data pulls
- Classroom exercises on data analysis and ethical scraping

</td>
<td width="50%">

#### 🎨 Personal and creative

- Side projects, portfolio demos, and indie app launches
- Data visualizations, dashboards, and infographics
- Content research for bloggers, YouTubers, and podcasters
- Hobbyist collections and personal trackers

</td>
</tr>
<tr>
<td width="50%">

#### 🤝 Non-profit and civic

- Transparency reporting and accountability projects
- Advocacy campaigns backed by public-interest data
- Community-run databases for local issues
- Investigative journalism on public records

</td>
<td width="50%">

#### 🧪 Experimentation

- Prototype AI and machine-learning pipelines with real data
- Validate product-market hypotheses before engineering spend
- Train small domain-specific models on niche corpora
- Test dashboard concepts with live input

</td>
</tr>
</table>

### 🤖 Ask an AI assistant about this scraper

Open a ready-to-send prompt about this ParseForge actor in the AI of your choice:

- 💬 [**ChatGPT**](https://chat.openai.com/?q=How%20do%20I%20use%20the%20Yahoo%20Finance%20Stock%20%26%20Crypto%20Scraper%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.)
- 🧠 [**Claude**](https://claude.ai/new?q=How%20do%20I%20use%20the%20Yahoo%20Finance%20Stock%20%26%20Crypto%20Scraper%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.)
- 🔍 [**Perplexity**](https://perplexity.ai/search?q=How%20do%20I%20use%20the%20Yahoo%20Finance%20Stock%20%26%20Crypto%20Scraper%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.)
- 🅒 [**Copilot**](https://copilot.microsoft.com/?q=How%20do%20I%20use%20the%20Yahoo%20Finance%20Stock%20%26%20Crypto%20Scraper%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.)

### ❓ Frequently Asked Questions

<details>
<summary><b>💳 Do I need a paid Apify plan to run this actor?</b></summary>

No. You can start right now on the free Apify plan, which includes **$5 in free monthly credit**. That is enough to run this actor several times and explore the output before committing to anything. Paid plans unlock higher limits, more concurrent runs, and larger datasets. [Create a free Apify account here](https://console.apify.com/sign-up?fpr=vmoqkp) to get started.

</details>

<details>
<summary><b>🚨 What happens if my run fails or returns no results?</b></summary>

Failed runs are not charged. If the source site changes, proxies get rate-limited, or a specific input matches nothing, re-run the actor or open our [contact form](https://tally.so/r/BzdKgA) and we will investigate. You can also check the run log in the Apify console to see why the run stopped.

</details>

<details>
<summary><b>📏 How many items can I scrape per run?</b></summary>

Free users are limited to **10 items per run** so you can preview the output and confirm the actor works for your use case. Paid users can raise maxItems up to **1,000,000** per run. [Upgrade here](https://console.apify.com/sign-up?fpr=vmoqkp) if you need full scale.

</details>

<details>
<summary><b>🕒 How fresh is the data?</b></summary>

Every run fetches live data at the moment of execution. There is no cache or delay: the records you get reflect what the source returned at that moment. Schedule the actor to maintain a rolling snapshot of the data you need.

</details>

<details>
<summary><b>🧑‍💻 Can I call this actor from my own code?</b></summary>

Yes. Apify exposes every actor as a REST endpoint and ships first-class SDKs for [Node.js](https://docs.apify.com/sdk/js) and [Python](https://docs.apify.com/sdk/python). You can start a run, read the dataset, and handle webhooks from your own app in a few lines. All you need is your Apify API token.

</details>

<details>
<summary><b>📤 How do I export the data?</b></summary>

Every Apify dataset can be downloaded in one click from the console as CSV, JSON, JSONL, Excel, HTML, XML, or RSS. You can also pull results programmatically via the [Apify API](https://docs.apify.com/api/v2) or stream them into BigQuery, S3, and other destinations through built-in integrations.

</details>

<details>
<summary><b>📅 Can I schedule the actor to run automatically?</b></summary>

Yes. Use the Apify scheduler to run the actor on any cadence, from hourly to monthly. Results are saved to your dataset and can be delivered to webhooks, email, Slack, cloud storage, or automation tools such as Zapier and Make.

***

</details>

### 🔌 Automating runs

Schedule the Yahoo Finance Scraper to run hourly, daily, or weekly to maintain an up-to-date price database. Connect with Make or Zapier to trigger runs when markets close. Pair with Google Sheets for automatic spreadsheet updates or Slack for price alerts delivered to your team channel.

### 🔌 Integrate with your tools

- [Make](https://docs.apify.com/platform/integrations/make) - Automate market data workflows
- [Zapier](https://docs.apify.com/platform/integrations/zapier) - Get alerts on price movements
- [Slack](https://docs.apify.com/platform/integrations/slack) - Deliver market updates to your team
- [Google Sheets](https://docs.apify.com/platform/integrations/drive) - Export price data to spreadsheets
- [Airbyte](https://docs.apify.com/platform/integrations/airbyte) - Build data pipelines
- [Webhooks](https://docs.apify.com/platform/integrations/webhooks) - Trigger actions on run completion

***

### 🔌 Integrate with any app

Yahoo Finance Stock and Crypto Scraper connects to any cloud service via [Apify integrations](https://apify.com/integrations):

- [**Make**](https://docs.apify.com/platform/integrations/make) - Automate multi-step workflows
- [**Zapier**](https://docs.apify.com/platform/integrations/zapier) - Connect with 5,000+ apps
- [**Slack**](https://docs.apify.com/platform/integrations/slack) - Get run notifications in your channels
- [**Airbyte**](https://docs.apify.com/platform/integrations/airbyte) - Pipe results into your warehouse
- [**GitHub**](https://docs.apify.com/platform/integrations/github) - Trigger runs from commits and releases
- [**Google Drive**](https://docs.apify.com/platform/integrations/drive) - Export datasets straight to Sheets

You can also use webhooks to trigger downstream actions when a run finishes. Push fresh data into your product backend, or alert your team in Slack.

***

### 🔗 Recommended ParseForge actors

| Actor | What it does |
|---|---|
| [FINRA BrokerCheck Scraper](https://apify.com/parseforge/finra-brokercheck-scraper) | Look up broker and firm registration data |
| [FRED Economic Data Scraper](https://apify.com/parseforge/fred-scraper) | Collect economic time series from the Federal Reserve |
| [World Bank Scraper](https://apify.com/parseforge/world-bank-scraper) | Gather global development indicators for 200+ countries |
| [Pitchbook Investors Scraper](https://apify.com/parseforge/pitchbook-investors-scraper) | Collect investor profiles and portfolio data |
| [PR Newswire Scraper](https://apify.com/parseforge/pr-newswire-scraper) | Track financial press releases and earnings announcements |

***

### 🆘 Need help?

[Contact us through our support form](https://tally.so/r/BzdKgA) to request a new scraper, report an issue, or propose a custom project.

***

> **Disclaimer:** This Actor is an independent tool and is not affiliated with, endorsed by, or connected to Yahoo, Yahoo Finance, or any financial institution. It accesses only publicly available data. This tool is for informational purposes only and does not constitute financial advice.

***

### 🔗 Recommended Actors

- [**🔍 Google Search Scraper**](https://apify.com/parseforge/google-search-scraper) - Multi-engine SERP results with country and language targeting
- [**🗺️ Nominatim OSM Scraper**](https://apify.com/parseforge/nominatim-osm-scraper) - Geocode addresses via OpenStreetMap
- [**📊 Indexmundi Scraper**](https://apify.com/parseforge/indexmundi-scraper) - Global demographic and economic indicators
- [**📰 RAG Web Browser**](https://apify.com/parseforge/rag-web-browser) - Crawl and extract clean text from any URL for AI retrieval
- [**🌐 Website Content Crawler**](https://apify.com/parseforge/website-content-crawler) - Crawl entire sites and export structured content

> 💡 **Pro Tip:** browse the complete [ParseForge collection](https://apify.com/parseforge) for more reference-data scrapers.

# Actor input Schema

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

Free users: Limited to 10 data points. Paid users: Optional, max 1,000,000

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

Stock tickers, crypto pairs, or ETFs. Examples: AAPL, GOOGL, BTC-USD, ETH-USD, EUR=X, SPY

## `interval` (type: `string`):

Time interval between data points.

## `range` (type: `string`):

How far back to get data.

## Actor input object example

```json
{
  "maxItems": 10,
  "symbols": [
    "AAPL",
    "GOOGL",
    "BTC-USD"
  ],
  "interval": "1d",
  "range": "1mo"
}
```

# Actor output Schema

## `overview` (type: `string`):

No description

# 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 = {
    "maxItems": 10,
    "symbols": [
        "AAPL",
        "GOOGL",
        "BTC-USD"
    ],
    "interval": "1d",
    "range": "1mo"
};

// Run the Actor and wait for it to finish
const run = await client.actor("parseforge/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 = {
    "maxItems": 10,
    "symbols": [
        "AAPL",
        "GOOGL",
        "BTC-USD",
    ],
    "interval": "1d",
    "range": "1mo",
}

# Run the Actor and wait for it to finish
run = client.actor("parseforge/yahoo-finance-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 '{
  "maxItems": 10,
  "symbols": [
    "AAPL",
    "GOOGL",
    "BTC-USD"
  ],
  "interval": "1d",
  "range": "1mo"
}' |
apify call parseforge/yahoo-finance-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=parseforge/yahoo-finance-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Yahoo Finance Stock & Crypto Scraper",
        "description": "Scrape stock and crypto price data from Yahoo Finance. Get OHLCV candles, 52-week highs/lows, market volume, and instrument metadata for any ticker symbol. Configure intervals from 1-minute to monthly across ranges from 1 day to max history.",
        "version": "1.0",
        "x-build-id": "lqLeptbw740cmD6Q1"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/parseforge~yahoo-finance-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-parseforge-yahoo-finance-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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/parseforge~yahoo-finance-scraper/runs": {
            "post": {
                "operationId": "runs-sync-parseforge-yahoo-finance-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/parseforge~yahoo-finance-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-parseforge-yahoo-finance-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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",
                "properties": {
                    "maxItems": {
                        "title": "Max Items",
                        "minimum": 1,
                        "maximum": 1000000,
                        "type": "integer",
                        "description": "Free users: Limited to 10 data points. Paid users: Optional, max 1,000,000"
                    },
                    "symbols": {
                        "title": "Symbols",
                        "type": "array",
                        "description": "Stock tickers, crypto pairs, or ETFs. Examples: AAPL, GOOGL, BTC-USD, ETH-USD, EUR=X, SPY",
                        "items": {
                            "type": "string"
                        }
                    },
                    "interval": {
                        "title": "Interval",
                        "enum": [
                            "1m",
                            "5m",
                            "15m",
                            "30m",
                            "1h",
                            "1d",
                            "1wk",
                            "1mo"
                        ],
                        "type": "string",
                        "description": "Time interval between data points."
                    },
                    "range": {
                        "title": "Date Range",
                        "enum": [
                            "1d",
                            "5d",
                            "1mo",
                            "3mo",
                            "6mo",
                            "1y",
                            "2y",
                            "5y",
                            "10y",
                            "max"
                        ],
                        "type": "string",
                        "description": "How far back to get data."
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```
