Yahoo Finance Historical Data Scraper

This Apify actor scrapes daily historical stock data from Yahoo Finance for one or more ticker symbols over a specified period.

Overview

The actor fetches daily stock metrics—Open, High, Low, Close, Adjusted Close, and Volume—for given ticker symbols. It outputs structured JSON records to an Apify dataset, with each record tagged by its symbol for easy identification. You can run it locally or on the Apify platform.

Key Features

• Fetches historical daily stock data (Open, High, Low, Close, Adjusted Close, Volume).
• Supports multiple ticker symbols in a single run.
• Configurable date range via yearsOfData input (1-50 years).
• Outputs clean JSON to the default Apify Dataset.
• Handles common cookie consent pop-ups.

Input

Configure the actor using an INPUT.json file or via the Apify Console/API.

Input fields:
- tickerSymbols (Array of strings, required): Stock ticker symbols (e.g., ["AAPL", "MSFT"]). Default is ["^GSPC"].
- yearsOfData (Integer, required): Number of years of historical data to fetch. Min: 1, Max: 50. Default is 1.

Example INPUT.json:

{
  "tickerSymbols": ["MSFT", "GOOG"],
  "yearsOfData": 3
}

Output

Results are stored in the Apify dataset. Each item is a JSON object for one day of data.

Example output item:

{
  "date": "May 30, 2025",
  "open": 170.50,
  "high": 172.30,
  "low": 170.10,
  "close": 171.95,
  "adjClose": 171.95,
  "volume": 25000000,
  "symbol": "AAPL"
}

Output fields: date, open, high, low, close, adjClose, volume, symbol.

How to Use

Running Locally

1. Ensure Node.js and npm are installed.
2. Clone the project and install dependencies: npm install.
3. Optionally, place your INPUT.json file at apify_storage/key_value_stores/default/INPUT.json.
4. Run the actor: apify run (use apify run --purge to clear previous storage).

Running on Apify Platform

1. Push the actor to your Apify account: apify push.
2. On the platform, find your actor and click "Run".
3. Provide input parameters in the "Input" tab.
4. Start the run. Results will be available in the run's "Dataset" tab, downloadable as JSON, CSV, Excel, etc.

Limitations

• Relies on Yahoo Finance's website structure; significant changes may break the actor.
• Fetching long periods (e.g., 30+ years) for multiple tickers can increase run time and resource use.
• Does not handle pagination if Yahoo Finance changes its data loading method.
• Cookie consent handling is based on common selectors; major changes to Yahoo's consent mechanism may require updates.

Support

For issues or suggestions, open an issue on GitHub or contact eray.diler@gmail.com.