Yahoo Finance Stock Data Scraper

Overview

Extract real-time stock quotes, historical prices, and financial data from Yahoo Finance. Supports stocks, ETFs, crypto, forex, and indices. Supports filters (Data Type).

Features

• Search by keywords to find specific results
• Filter results by category or type
• Export data in JSON, CSV, or Excel formats
• Captures pricing information

Use Cases

• Track - Track financial filings and disclosures
• Build - Build datasets for investment research and due diligence
• Monitor - Monitor financial metrics and company performance
• Aggregate - Aggregate financial data for quantitative analysis

Input Parameters

Parameter	Type	Description	Default
symbols	array (required)	List of ticker symbols to fetch data for. Supports stocks (AAPL), crypto (BTC...	["AAPL", "MSFT", "GOOGL"]
dataType	string	Type of data to retrieve	quote
interval	string	Interval between data points (for historical data)	1d
range	string	How far back to fetch historical data	1mo
includePrePost	boolean	Include pre-market and after-hours trading data	false

Output Example

Each result contains structured data like this:

{
  "symbol": "Sample symbol",
  "price": 29.99,
  "change": "Sample change",
  "changePercent": "Sample changePercent",
  "volume": "Sample volume",
  "marketCap": "Sample marketCap",
  "currency": "Sample currency"
}

Pricing

This actor uses pay-per-result pricing:

• $0.001 per result
• $1.00 per 1,000 results

No monthly fees. You only pay for what you scrape. Apify Free plan includes $5/month in platform credits.

How to Run

Apify Console

1. Go to the Yahoo Finance Stock Data Scraper actor page
2. Configure your input parameters
3. Click Start and wait for the results
4. Download data in JSON, CSV, or Excel format

API

curl -X POST "https://api.apify.com/v2/acts/fortuitous_pirate~yahoo-finance-scraper/runs?token=YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"maxItems": 10}'

Python SDK

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("fortuitous_pirate/yahoo-finance-scraper").call(
    run_input={"maxItems": 10}
)

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

Integration

Connect Yahoo Finance Stock Data Scraper with your existing tools and workflows:

• API access - Programmatic access via Apify API
• Webhooks - Get notified when scraping completes
• Scheduling - Set up recurring runs on any schedule
• Zapier / Make - Connect with 5,000+ apps via Apify integrations
• Python / Node.js SDKs - Native client libraries for easy integration