📈 Multpl Scraper - S&P 500 PE Ratio & Economic Data

🚀 Export S&P 500 P/E ratios, Shiller CAPE, dividend yield, inflation (CPI), earnings and more to CSV, Excel, JSON or XML in seconds.

Multpl.com is the go-to public source for long-run S&P 500 and U.S. macroeconomic time series. This actor extracts any of the 7 supported metrics - P/E ratio, Shiller CAPE, dividend yield, earnings per share, annual returns, CPI inflation, and S&P 500 price - as clean structured records. Data goes back to the late 1800s for most metrics.

All data is fetched live from Multpl.com HTML tables. No cache, no stale data.

Coverage: 7 metrics covering S&P 500 valuation, income, and U.S. macroeconomics. Monthly data back to 1871 (depending on metric). Annual aggregates also available.

Audience	Use Cases
Quant analysts	Backtest valuation-based strategies using P/E or CAPE
Financial researchers	Study long-run market cycles and inflation regimes
Data journalists	Chart historical S&P 500 valuations with context
Portfolio managers	Monitor current P/E and dividend yield vs. historical averages
Economists	Track CPI inflation and real S&P 500 earnings over decades
Developers	Feed financial dashboards and alerting systems

📋 What the Multpl Scraper does

• Fetches live HTML tables from Multpl.com - no stale cached data
• Supports 7 metrics: P/E Ratio, Shiller P/E (CAPE), Dividend Yield, Earnings Per Share, Annual Returns, CPI Inflation, S&P 500 Price
• Returns monthly or annual granularity per metric
• Parses and cleans numeric values (removes % and $ symbols)
• Normalizes dates to ISO 8601 format (YYYY-MM-DD)
• Limits free users to 10 items automatically - paid users get up to 1,000,000
• Outputs clean records ready for CSV/Excel/JSON/XML download

💡 Why it matters: Multpl.com is one of the only free public sources for S&P 500 P/E ratio history going back to 1871. This actor turns those HTML tables into structured, downloadable datasets with a single click.

📊 Data fields

Each record includes: date, metric, metricName, period, results, scrapedAt, url, value, valueRaw. These field names come straight from the actor's dataset schema, so what you see here is what lands in your dataset.

🚀 How to use

1. Create a free Apify account w/ $5 credit
2. Open the Multpl Scraper actor page
3. Select your metric (e.g. S&P 500 P/E Ratio)
4. Choose monthly or annual period
5. Set maxItems (10 for preview, up to 1,000,000 for full history)
6. Click Start and wait a few seconds
7. Download your dataset as CSV, Excel, JSON, or XML

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💡 Pro Tip: browse the complete ParseForge collection for 80+ public data scrapers covering finance, government, real estate, jobs, and more.

Disclaimer: This actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Multpl.com. All data is fetched from publicly accessible pages. Use responsibly and in accordance with Multpl.com's terms of service.

🆘 Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.

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