Stock Market Data Scraper — Quotes & Price History

Stock Market Data Scraper — Quotes & Price History — a fast, reliable stock data scraper that needs no API key. Scrape live quotes and historical OHLCV price data for stocks, ETFs, indices, forex, and crypto. You pay only for the results you get: failed or empty runs are always free.

This stock data scraper runs on the Apify platform, so you can call it from the API, run it on a schedule, or export results to JSON, CSV, Excel, or Google Sheets.

What this scraper does

• Extracts structured stock data data with no browser or API key required
• Returns clean JSON, one record per result — ready for sheets, databases, or apps
• Pay-per-result pricing: you are never charged for a run that returns nothing
• Runs on demand or on a schedule, and integrates with 5,000+ apps via the Apify API and webhooks

What data you get

Each result record includes fields such as:

• Symbol (symbol) — e.g. "AAPL"
• Name (name) — e.g. "Apple Inc."
• Price (price) — e.g. 315.13
• Previous Close (previousClose) — e.g. 308.63
• Change (change) — e.g. 6.5
• Change Percent (changePercent) — e.g. 2.1061
• Currency (currency) — e.g. "USD"
• Day High (dayHigh) — e.g. 316.39
• Day Low (dayLow) — e.g. 312.17
• Volume (volume) — e.g. 16848048
• Fifty Two Week High (fiftyTwoWeekHigh) — e.g. 317.4
• Fifty Two Week Low (fiftyTwoWeekLow) — e.g. 201.5
• Exchange (exchange) — e.g. "NasdaqGS"
• Instrument Type (instrumentType) — e.g. "EQUITY"
• Market Time (marketTime) — e.g. "2026-07-10T18:46:08Z"

Input

Field	Type	Description
symbols	array	Tickers to fetch (e.g. AAPL, MSFT, ^GSPC for S&P 500, EURUSD=X for forex, BTC-USD for crypto).
interval	string	Bar interval for history.
range	string	How far back to pull history.
includeQuote	boolean	Emit a live quote record (price, change, day/52-week range) per symbol.
includeHistory	boolean	Emit OHLCV bar records for the chosen interval + range.
maxBars	integer	Keep only the most recent N bars. 0 = all bars in the range.

Example output

{
  "type": "quote",
  "symbol": "AAPL",
  "name": "Apple Inc.",
  "price": 315.13,
  "previousClose": 308.63,
  "change": 6.5,
  "changePercent": 2.1061,
  "currency": "USD",
  "dayHigh": 316.39,
  "dayLow": 312.17,
  "volume": 16848048,
  "fiftyTwoWeekHigh": 317.4,
  "fiftyTwoWeekLow": 201.5,
  "exchange": "NasdaqGS",
  "instrumentType": "EQUITY",
  "marketTime": "2026-07-10T18:46:08Z",
  "timezone": "America/New_York",
  "scrapedAt": "2026-07-10T18:46:09Z"
}

Use cases

• Run market and competitor research
• Enrich due-diligence and financial analysis
• Feed dashboards and reporting pipelines
• Power fintech and investment tools

Run it as a monitor (alerts on new stock data)

Schedule this stock data scraper to run automatically — hourly, daily, or on any cron schedule — with the built-in Apify Scheduler, and have results pushed to you by webhook, email, Slack, or your own app the moment they're ready. It's the easiest way to monitor stock data for changes over time and get alerted the instant something new appears — no manual runs. Because pricing is per result, a scheduled monitor only ever charges you for the data each run actually returns.

Pricing

This actor uses pay-per-result pricing at $0.0003 per record. There is no monthly fee and no start fee — and empty or failed runs cost $0, so you only ever pay for data you actually receive.

Frequently asked questions

Do I need an API key or account for the source? No. This stock data scraper works out of the box with no API key required.

What happens if a run returns no results? You are not charged. Billing is per result, so empty or failed runs are free.

Can I run the stock data scraper on a schedule? Yes. Use the Apify Scheduler to run it hourly, daily, or on any cron schedule, and get results by webhook or API.

What export formats are supported? Results can be exported as JSON, CSV, Excel, HTML, or pushed to Google Sheets, a database, or your own app via the Apify API.

Is the data structured? Yes. Every stock data result is a clean, flat JSON record you can use immediately.