📈 Yahoo Finance Scraper — Stocks & Market Data

What does Yahoo Finance Scraper do?

Yahoo Finance Scraper extracts financial data from Yahoo Finance including stock prices, company financials, analyst recommendations, historical data, and key statistics for any publicly traded company.

Why use Yahoo Finance Scraper?

Manually tracking financial data across hundreds of stocks is impractical. This scraper delivers structured financial data on demand, making it easy to build financial models, track portfolios, or power investment research workflows.

Use cases

• Investment Research: Analyze P/E ratios, revenue growth, and financial metrics across companies
• Portfolio Monitoring: Track stock prices and key metrics for your investment portfolio
• Financial Modeling: Feed real-time financial data into spreadsheets and models
• Market Screening: Screen stocks by financial criteria like market cap, P/E ratio, or dividend yield
• Academic Research: Collect historical stock data for financial analysis and backtesting

Input parameters

Parameter	Type	Description
tickers	Array	Stock ticker symbols (e.g., ["AAPL", "GOOGL", "MSFT"])
maxResults	Number	Maximum results per ticker (default: 1)

Output example

{
    "ticker": "AAPL",
    "name": "Apple Inc.",
    "price": 178.72,
    "change": 2.34,
    "changePercent": 1.32,
    "marketCap": "2.78T",
    "peRatio": 28.5,
    "dividendYield": "0.55%",
    "52WeekHigh": 199.62,
    "52WeekLow": 124.17
}

Pricing

Pay-Per-Event pricing: $1.00 per 1,000 results. Platform fee: $0.005 per start.

Related Actors from NexGenData

• Stock Market Scraper — Real-time prices & trends
• Finviz Stock Screener — Trading signals & data
• Crypto Price Tracker — Real-time crypto data
• Currency Exchange Rates — Real-time FX data

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💻 Code Example — Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("nexgendata/yahoo-finance-scraper").call(run_input={
    # Fill in the input shape from the actor's input_schema
})

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

🌐 Code Example — cURL

curl -X POST "https://api.apify.com/v2/acts/nexgendata~yahoo-finance-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{ /* input schema */ }'

❓ FAQ

Q: How do I get started? Sign up at apify.com, grab your API token from Settings → Integrations, and run the actor via the Apify console, API, Python SDK, or any integration (Zapier, Make.com, n8n).

Q: What's the typical cost per run? See the pricing section below. Most runs finish under $0.10 for typical batches.

Q: Is this actor maintained? Yes. NexGenData maintains 140+ Apify actors and ships updates regularly. Bug reports via the Apify console issues tab get responses within 24 hours.

Q: Can I use the output commercially? Yes — you own the output data. Check the target site's Terms of Service for any usage restrictions on the scraped content itself.

Q: How do I handle rate limits? Apify manages concurrency and retries automatically. For very large batches (10K+ items), run multiple smaller jobs in parallel instead of one mega-job for better reliability.

💰 Pricing

Pay-per-event pricing — you only pay for what you actually extract.

• Actor Start: $0.0001
• result: $0.0080

🔗 Related NexGenData Actors

• RAG Web Browser
• AI Web Scraper
• Hacker News Scraper

🚀 Apify Affiliate Program

New to Apify? Sign up with our referral link — you get free platform credits on signup, and you help fund the maintenance of this actor fleet.

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Built and maintained by NexGenData — 140+ actors covering scraping, enrichment, MCP servers, and automation.