StockAnalysis Scraper

StockAnalysis Scraper

Scrape stock data from StockAnalysis.com for any ticker or the full screener, up to a million rows per run. Every stock comes with price, market cap, P/E ratio, volume, sector, and more. No API key. Export to CSV, JSON, Excel, or XML.

StockAnalysis.com has clean, current stock data, but there is no official API and manual export is slow. This Actor reads the public pages directly, either for a list of tickers you choose or across the whole screener with filters, and returns each stock as one flat row. It works for US tickers like AAPL and MSFT, and for non-US tickers using exchange prefixes like LON:HSBA or TSX:RY.

Who uses it	What they scrape StockAnalysis.com for
Market researchers	Which stocks in a sector meet a market cap threshold this week
Quantitative analysts	A clean dataset of fundamentals for backtesting a strategy
Financial journalists	Quick price and valuation snapshots for a list of companies
Portfolio managers	Daily updates on a watchlist of tickers across exchanges
Data engineers	A scheduled feed of stock data into a warehouse or dashboard

What it does

This Actor collects stock data from StockAnalysis.com by ticker or screener filters, and returns each stock as a flat row with price, market cap, P/E ratio, volume, sector, and other fields.

• 🎯 Ticker mode: pass a list of symbols like AAPL, MSFT, or LON:HSBA and get one row per stock.
• 🔍 Screener mode: browse all stocks on StockAnalysis.com and filter by sector, market cap min, and market cap max.
• 🌍 Global coverage: US tickers use the symbol alone, non-US tickers use EXCHANGE:TICKER format.
• 📊 Flat output: every stock is one row with consistent fields, ready for CSV, JSON, Excel, or XML.
• ⚡ No API key: the Actor reads public pages directly, so there is no registration or rate limit to manage.

Results export to CSV, JSON, Excel, or XML, or straight from the API.

What you can do with StockAnalysis.com data

📈 Build a sector watchlist.

A market researcher runs screener mode with sector=technology and marketCapMin=1000000000 to get every large-cap tech stock, then exports the CSV for a weekly report.

🧪 Backtest a fundamental strategy.

A quant passes a list of 500 tickers and uses the P/E ratio and market cap fields to filter for value stocks before running a backtest.

📰 Fact-check a story.

A journalist enters the tickers mentioned in a draft article and gets current price and volume to verify the numbers before publishing.

💼 Monitor a portfolio.

A portfolio manager schedules a daily run for 50 tickers across US and European exchanges and pushes the JSON into a dashboard.

🗄️ Feed a data warehouse.

A data engineer runs screener mode once a week for all stocks, then loads the CSV into Snowflake for internal analytics.

Why choose this scraper

	What you get
No API key	Reads public pages directly, no registration or OAuth
Global tickers	US symbols and exchange-prefixed symbols like EGX:COMI
Screener filters	Sector and market cap range to narrow the universe
Scalable	Up to 1,000,000 stocks per run for paid users
Structured output	One flat row per stock with consistent fields

How it compares

This Actor focuses on ticker and screener data from StockAnalysis.com, while the competitor below also covers ETFs and the other covers analyst articles from a different site.

Feature	ParseForge	Stock Analysis Scraper - Stock & ETF Screener Data	Seeking Alpha Stock Analysis Scraper
Stock data from StockAnalysis.com	Yes	Yes	Not listed
ETF screener data	Not listed	Yes	Not listed
Ticker mode for specific stocks	Yes	Not listed	Yes
Screener mode with sector and market cap filters	Yes	Not listed	Not listed
Analyst articles and ratings	Not listed	Not listed	Yes
No API key required	Yes	Yes	Not listed

Configure the run

Drive the Actor from a list of tickers or from screener mode with sector and market cap filters, and only matching stocks reach your dataset. The Input tab lists every parameter.

A first run with the defaults:

{
 "tickers": [
 "AAPL",
 "MSFT",
 "GOOGL",
 "AMZN",
 "TSLA"
 ],
 "maxItems": 10
}

A larger pull:

{
 "tickers": [
 "AAPL",
 "MSFT",
 "GOOGL",
 "AMZN",
 "TSLA"
 ],
 "maxItems": 200
}

Pricing

Pay-per-result: $0.021 per result collected. You pay only for the results written to your dataset.

Results collected	Approximate cost
100 results	$2.10
1,000 results	$21.00
10,000 results	$210.00

New Apify accounts start with $5 in free credit.

Free users

Free-plan runs return up to 10 results as a preview. Upgrade your Apify plan to collect up to 1,000,000 results per run.

Run it

1. Create a free Apify account with $5 in credit.
2. Open the StockAnalysis Scraper.
3. Set your inputs and any filters, then click Start.
4. Export the results as CSV, Excel, JSON, or XML from the Dataset tab.

Run it programmatically through the Apify API (run-sync-get-dataset-items) or the ApifyClient for JavaScript and Python.

Use with AI agents (MCP)

Give an AI agent live access to StockAnalysis.com through the Model Context Protocol. Add the Actor to Claude, Cursor, or any MCP client:

$claude mcp add --transport http apify "https://mcp.apify.com?tools=parseforge/stockanalysis-scraper"

Then prompt it in plain language to run the scraper and read back the results.

Troubleshooting

Why am I getting no results?

Check that your tickers are in the correct format. US tickers use the symbol alone, non-US tickers need EXCHANGE:TICKER. In screener mode, make sure your filters are not too restrictive.

Why did my run stop after 10 items?

Free users are limited to 10 items as a preview. Upgrade to a paid plan to increase maxItems up to 1,000,000.

Why is my non-US ticker not returning data?

Verify the exchange prefix. For example, use LON:HSBA for London, not HSBA. Check StockAnalysis.com for the exact symbol format.

Why are some fields empty in the output?

StockAnalysis.com may not have data for every field for every stock. Empty fields mean the source page did not show a value.

Why did the run fail with a timeout?

Large screener runs can take time. Try reducing maxItems or narrowing filters. If the problem persists, contact support.

FAQ

Question	Answer
Do I need an API key for StockAnalysis.com?	No. The Actor reads the public pages directly, so there is no registration, OAuth, or key to manage.
Can I scrape non-US stocks?	Yes. Use the EXCHANGE:TICKER format, for example LON:HSBA for the London Stock Exchange or TSX:RY for Toronto.
What is the difference between ticker mode and screener mode?	Ticker mode takes a list of symbols you provide. Screener mode browses all stocks on StockAnalysis.com and applies optional filters like sector and market cap.
How many stocks can I scrape in one run?	Free users are limited to 10 items as a preview. Paid users can set maxItems up to 1,000,000.
What filters are available in screener mode?	You can filter by sector (11 options like technology or healthcare) and by market cap minimum and maximum in USD.
What output formats are supported?	The dataset can be exported to CSV, JSON, Excel, or XML from the Apify platform.
Does the Actor return historical data?	No, it returns the current data shown on StockAnalysis.com at the time of the run. For historical data, schedule regular runs and store the results.
Can I run this on a schedule?	Yes, you can schedule the Actor to run daily, weekly, or at any interval from the Apify console.
Is the data real-time?	The data reflects what StockAnalysis.com displays, which is typically delayed by up to 15 minutes for US markets. It is not a real-time feed.
What if a ticker is not found?	The Actor will skip that ticker and continue with the rest. Check the run log for any skipped symbols.

Related actors

Browse the full ParseForge collection for more scrapers.

🆘 Need help? Email parseforge@protonmail.com with your run ID, your input, and what you expected.

⚠️ Disclaimer. This Actor is unofficial and is not affiliated with, endorsed by, or sponsored by StockAnalysis.com. It collects only publicly available data. You are responsible for using the collected data in compliance with the source's terms of service and applicable data-protection laws, including GDPR, CCPA, and PIPL. Do not use it to collect personal data unlawfully.