GuruFocus Fundamentals Scraper

Get 100+ fundamental data points for any stock ticker in structured JSON — valuation multiples, profitability scores, balance sheet health, growth estimates, dividends, risk metrics, and more.

No spreadsheet wrangling. No manual copy-paste from financial websites. Just feed in your tickers, get back clean, structured data ready for analysis.

What does GuruFocus Fundamentals Scraper do?

GuruFocus Fundamentals Scraper takes a list of stock ticker symbols (e.g. AAPL, MSFT, NVDA) and returns one complete JSON record per ticker with ~100 fundamental data points scraped from GuruFocus summary pages.

Each ticker requires several page visits to collect all data. The scraper handles this automatically — visiting multiple pages per ticker, extracting the relevant metrics, and merging everything into a single structured output item.

Use it to power stock screeners, quantitative analysis, portfolio monitoring, AI-powered research agents, or any workflow where you need structured fundamental data without manual effort.

What data do you get?

Each record covers 10 analytical domains:

Category	What's included	Fields
Company	Name, exchange, sector, industry, ISIN, index membership, IPO date, employees, description	10
Price & Market	Current price, daily change, 52-week range, market cap, enterprise value, volume, shares outstanding	13
Valuation	P/E (TTM, forward, NRI, Shiller), PEG, P/S, P/B, P/FCF, EV/EBITDA, EV/Revenue, FCF yield, GF Value, WACC, Graham Number, DCF models, and more	30+
Profitability	Score (0-10), revenue, EPS, margins (net, EBITDA, FCF, OCF), ROE, ROA, ROIC, moat score, tariff resilience	17
Financial Health	Score (0-10), debt ratios, interest coverage, Piotroski F-Score, Altman Z-Score, Beneish M-Score, liquidity ratios, working capital cycle	15
Growth	Score (0-10), 3-year historical growth (revenue, EBITDA, EPS, FCF, book value), analyst estimates 3-5y	8
Dividend	Yield, payout ratio, 3-year growth, forward yield, yield-on-cost, buyback ratio, shareholder yield	7
Risk	Beta, Sharpe ratio (3y), Sortino ratio (3y), volatility	4
Technicals	RSI (14), ATR (14), SMA (20), 12-1 month momentum	4
GF Score	GuruFocus composite quality score (0-100) combining all five dimensions	1

How to scrape GuruFocus fundamental data

1. Click Try for free on the GuruFocus Fundamentals Scraper page.
2. Enter your stock ticker symbols (e.g. AAPL, MSFT, NVDA).
3. Click Start and wait for the run to finish.
4. Preview your data in the Output tab, or download it as JSON, CSV, or Excel.

That's it. No configuration needed beyond the ticker list.

Input

The only required input is a list of ticker symbols. You can optionally adjust concurrency and request limits.

Field	Type	Required	Description
tickers	string[]	Yes	Stock ticker symbols to scrape (e.g. AAPL, MSFT, GOOGL)
maxRequestsPerCrawl	integer	No	Max pages the crawler can visit. Default: 500
maxConcurrency	integer	No	Max parallel requests. Lower if you get rate-limited. Default: 3

Example input:

{
    "tickers": ["AAPL", "MSFT", "NVDA", "GOOGL", "AMZN"]
}

Output

Each ticker produces one JSON object. You can download the dataset in JSON, CSV, Excel, XML, or HTML format.

The output is organized into multiple table views in the Apify Console:

• Overview — Scores, identity, and key price metrics for quick screening
• Valuation Multiples — All 30+ valuation ratios and intrinsic value estimates
• Quality & Health — Profitability, financial health, growth, dividends, and risk combined

Here is a condensed example for one ticker:

{
    "ticker": "MCD",
    "gfScore": 88,
    "company": {
        "name": "McDonald's Corp",
        "exchange": "NYSE",
        "sector": "Consumer Cyclical",
        "industry": "Restaurants",
        "isin": "US5801351017",
        "totalEmployees": 150000,
        "ipoDate": "1966-07-05",
        "indexMembership": ["Dow 30", "S&P 500", "Russell 1000"]
    },
    "price": {
        "currency": "USD",
        "current": 307.01,
        "changePct": 0.71,
        "weekLow52": 283.47,
        "weekHigh52": 341.75,
        "marketCap": 218640000000,
        "enterpriseValue": 271980000000
    },
    "valuation": {
        "gfValue": 322.44,
        "gfValueLabel": "Fairly Valued",
        "peTtm": 25.69,
        "peForward": 23.2,
        "pegRatio": 3.07,
        "psRatio": 8.18,
        "evToEbitda": 19.12,
        "evToRevenue": 10.12,
        "fcfYieldPct": 3.29,
        "waccPct": 5.63,
        "grahamNumber": null,
        "peterLynchFairValue": null
    },
    "profitability": {
        "score": 9,
        "revenueTtm": 26884000000,
        "epsTtm": 11.95,
        "netMarginPct": 31.85,
        "roicTtmPct": 16.97,
        "moatScore": 9
    },
    "financialHealth": {
        "score": 4,
        "piotroskiFScore": 8,
        "altmanZScore": 3.28,
        "beneishMScore": -2.59,
        "currentRatio": 0.95,
        "debtToEbitda": 3.81
    },
    "growth": {
        "score": 7,
        "revenueGrowth3yPct": 6.3,
        "epsGrowth3yPct": 6.5,
        "epsGrowthEst3_5yPct": 8.46
    },
    "dividend": {
        "dividendYieldPct": 2.39,
        "payoutRatio": 0.59,
        "shareholderYieldPct": 2.15
    },
    "risk": {
        "beta": 0.361,
        "sharpeRatio3y": 0.03,
        "volatilityPct": 16.66
    },
    "technicals": {
        "rsi14": 39.3,
        "sma20": 313.045,
        "momentum12_1mPct": 9.42
    },
    "meta": {
        "url": "https://www.gurufocus.com/stock/MCD/summary",
        "scrapedAt": "2026-04-09T09:22:48.637Z"
    }
}

Fields return null when data is not available for a given ticker (e.g. Graham Number for companies with negative equity).

How much does it cost to scrape GuruFocus?

Each ticker result costs $0.008 (~$8 per 1,000 tickers). Apify gives you $5 free usage credits every month on the Apify Free plan, which covers roughly 600 tickers per month at no cost.

Tickers	Cost
10	$0.08
100	$0.80
500	$4.00
1,000	$8.00

For larger volumes or scheduled runs, the $29/month Starter plan gives you enough credits for thousands of tickers per month.

Tips for getting the best results

• Start small — Test with 5-10 tickers first to verify you're getting the data you need.
• Use standard ticker symbols — The scraper uses the same ticker format as GuruFocus (e.g. AAPL, BRK.B, TSM). Check the GuruFocus site if you're unsure about the correct symbol.
• Lower concurrency if needed — If you notice failed requests, reduce maxConcurrency to 1 or 2. The default of 3 works well for most runs.
• Schedule regular runs — Use Apify Schedules to automatically refresh your data daily or weekly.
• Combine with other tools — Export to Google Sheets, feed into Make/Zapier workflows, or use the Apify API to pull data directly into your applications.

Integrations

You can connect GuruFocus Fundamentals Scraper with other tools using the Apify platform integrations:

• Google Sheets — Automatically export results to a spreadsheet
• Zapier / Make — Trigger workflows when new data is available
• Slack / Email — Get notified when a run finishes
• REST API — Pull data programmatically into any application
• MCP Server — Use with AI agents and LLM pipelines

FAQ

What tickers are supported? Any ticker available on GuruFocus, including US stocks (NYSE, NASDAQ), international stocks, and ADRs. Use the same ticker format as the GuruFocus website.

How often is the data updated on GuruFocus? GuruFocus updates its data as new filings and market data become available. The scraper collects whatever is currently displayed on the summary pages at the time of the run.

Can I scrape thousands of tickers? Yes. We've tested runs with 500+ tickers successfully. For very large runs, increase the maxRequestsPerCrawl limit accordingly (each ticker requires approximately 7 page visits).

What if a ticker returns null values? Some fields are naturally null for certain companies. For example, Graham Number requires positive equity and earnings, so it will be null for companies like McDonald's that have negative equity. This is expected behavior — the data simply isn't available on GuruFocus for that metric.

Can I use this data commercially? This scraper is intended for personal and professional research purposes. GuruFocus data is subject to their Terms of Use. Users are responsible for complying with GuruFocus terms, including proper attribution when sharing data. Redistribution or resale of GuruFocus data requires a commercial data license from GuruFocus.

Is it legal to scrape GuruFocus? Web scraping of publicly available data is generally legal. However, you should review and comply with GuruFocus's Terms of Use. This scraper is designed for personal research and analysis, which is permitted under their terms. If you're unsure about your specific use case, please seek professional legal advice.

Support and feedback

If you find a bug or have a feature request, please open an issue on the Issues tab.

Data sourced from GuruFocus. All GuruFocus data is subject to their Terms of Use.