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Stock Price Tracker — Real-Time Quotes for Stocks, ETFs, Crypto, Forex & Indices

Fetch real-time price quotes for stocks, ETFs, indices, crypto, forex, mutual funds, and futures from Yahoo Finance in a single batched call. Built for AI portfolio agents, watchlist automations, trading bots, and high-volume price monitoring — sub-second per ticker, agent-friendly schema, $0.001 per ticker resolved.

What you get

One row per ticker with the fields a tracking job actually needs — price, change, day range, volume, market cap, 52-week range — and no junk (no internal Yahoo IDs, no MIME blobs, no ten-level-deep nesting).

Pricing — $0.001 per ticker

Failed tickers are not charged. Typical run cost:

• 10-ticker watchlist: $0.01
• 50-ticker portfolio: $0.05
• 500-ticker universe: $0.50 (well under the $1 x402 default agent prepay)

Quick start

Watchlist (concise output, ~150 tokens/row)

{
"tickers":["AAPL","MSFT","NVDA","TSLA","GOOGL"],
"responseFormat":"concise"
}

Mixed-asset portfolio (detailed output)

{
"tickers":[
"AAPL","MSFT",
"BTC-USD","ETH-USD",
"^GSPC","^IXIC",
"EURUSD=X","USDJPY=X",
"GC=F","CL=F",
"VFIAX"
],
"responseFormat":"detailed",
"includePostMarket":true
}

Bulk universe (500 tickers, lower concurrency)

{
"tickers":["AAPL","MSFT","..."],
"responseFormat":"concise",
"concurrency":3
}

Symbol formats — Yahoo Finance conventions

The actor auto-normalizes common alternate formats — AAPL:NASDAQ → AAPL, .DJI → ^DJI, BTC/USD → BTC-USD, EUR/USD → EURUSD=X. If you have legacy Google Finance ticker syntax in your pipeline, paste it as-is.

Use cases

AI trading & portfolio agents (MCP-first)

# Claude / GPT agent calling the actor via Apify MCP
quotes = mcp.call_actor(
"khadinakbar/stock-price-tracker",
input={"tickers":["AAPL","BTC-USD"],"responseFormat":"concise"},
)
# → ~300 tokens of clean JSON, ready to reason over

The output schema is flat, semantically named, and consistent across runs — exactly what an LLM tool-caller wants. concise mode keeps a 50-ticker portfolio under 8k tokens; detailed mode under 16k.

Scheduled watchlists

Run every 15 minutes via Apify Schedules:

apify schedule create \
--actor khadinakbar/stock-price-tracker \
--cron"*/15 9-17 * * 1-5"\
--input'{"tickers": ["AAPL","MSFT","NVDA","GOOGL","META","TSLA"]}'

Each run pushes one row per ticker stamped with timestamp — the dataset becomes a price time-series for free.

Trading bots / alerting

Pair with a webhook or downstream actor that compares the latest price against a threshold. The detailed format includes bid/ask for spread checks and volume/averageVolume for liquidity filters.

Market research / dashboards

Pull a basket of tickers (sector ETFs + their components, or a custom factor universe) once a day and feed straight into a BI tool — fields are display-ready (marketCap, fiftyTwoWeekHigh, twoHundredDayAverage).

When to use this actor — and when NOT to

✅ Use this for current/latest prices, watchlists, portfolio snapshots, market-state checks, agent tool calls.

❌ Don't use this for:

• Historical OHLCV time-series — use a dedicated history scraper. This actor returns the latest snapshot only.
• Deep fundamentals (P/E ratio, EPS, dividend history, analyst ratings, news) — use google-finance-stock-news-scraper.
• Symbol search by company name — this actor takes exact Yahoo symbols only.
• Streaming / sub-15s real-time — Yahoo Finance is delayed 15 minutes for some exchanges; for true real-time you need a paid market-data feed.

Reliability

• Yahoo Finance v7 quote endpoint (with crumb auth) is the primary path — single batched call for up to 50 tickers per request.
• Yahoo Finance v8 chart endpoint is the per-symbol fallback for any ticker the v7 batch couldn't resolve (delisted symbols, rare futures, exchange-specific edge cases). No crumb required, more permissive.
• Crumb cookie auto-rotation — the auth crumb is fetched once per run and cached for 30 minutes. On 401/403 it's invalidated and re-fetched automatically.
• Concurrency-safe batching — 50 symbols/batch, configurable parallel batches.
• Per-ticker error rows — when a symbol can't be resolved, you still get a row with error, errorType, and a fix suggestion. The dataset never silently drops a ticker.
• No charge on failure — ticker-price-fetched only fires when at least price/bid/ask is present.

Output formats — concise vs detailed

concise (~150 tokens/row) — for AI agents, dashboards, watchlists where you only need the price + delta + market state. 9 fields.

detailed (~300 tokens/row, default) — full quote with day range, volume, market cap, 52-week range, moving averages, and pre/post-market prices. 25 fields.

For a 50-ticker run that's the difference between 7,500 tokens (fits in a single agent prompt) and 15,000 tokens (still fits in Claude's tool-output budget).

Technical notes

• Built with Crawlee + got-scraping for proper TLS fingerprinting; no headless browser overhead.
• Apify Proxy enabled by default; works without proxy for small runs.
• Memory: 256 MB minimum, 512 MB default — light enough that a typical 50-ticker run costs ~$0.0001 in compute on top of PPE.
• Open-source actor pattern; outputs match the format expected by the Apify MCP server.

Legal & data attribution

Stock, ETF, mutual fund, and index quotes are scraped from publicly accessible Yahoo Finance endpoints. Quote data is sourced and time-stamped per Yahoo Finance; consult Yahoo's terms before redistributing. This actor is independent of and not affiliated with Yahoo, Verizon, or Apollo Global Management. Use of this data for trading is at your own risk — Yahoo Finance prices are typically delayed 15 minutes for US equities and may not reflect best execution prices.

FAQ

How many symbols can I track with Stock Price Tracker?

There is no hard cap. Stock Price Tracker batches requests against Yahoo Finance's quote endpoint, so even 500–1,000 tickers complete in a single short run. For very large universes, lower concurrency to stay polite to the upstream API.

Can I integrate Stock Price Tracker with other apps?

Yes. Every Apify actor exposes a REST API, webhooks, and Zapier / Make / n8n integrations out of the box. Schedule a run, push results to Google Sheets, BigQuery, Snowflake, S3, or any HTTP endpoint with no glue code.

Can I use Stock Price Tracker with the Apify API?

Yes. The actor is fully API-driven. Start a run with POST /v2/acts/khadinakbar~stock-price-tracker/runs and read the dataset with GET /v2/datasets/{id}/items. Both the JS and Python Apify clients are supported.

Can I use Stock Price Tracker through an MCP Server?

Yes. The actor is MCP-ready and exposed as apify--stock-price-tracker in the Apify MCP server. Drop it into Claude Desktop, Cursor, Continue, or any MCP-compatible client and call it as a tool — the input schema is described for LLMs.

Do I need an API key to track stock prices?

No. Stock Price Tracker uses public Yahoo Finance endpoints — no API key, no token, no signup. You only need an Apify account to run the actor and receive results.

Is this stock data real-time?

Yahoo Finance prices are typically delayed 15 minutes for US equities and may be near-real-time for some assets (futures, crypto). Use Stock Price Tracker for monitoring, dashboards, watchlists, and research — not for high-frequency trading execution.

Your feedback

Open an issue on the actor's Apify Store page or message @khadinakbar. Suggestions on input schema, output fields, and new tickers/markets are welcome.

Related actors

• Google Finance Scraper — deep fundamentals (P/E, EPS, dividends, news) per ticker.
• Yahoo Finance Scraper — Yahoo Finance all-in-one — quotes, OHLC history, financials, analyst ratings, options & earnings.
• Amazon Competitor Price Tracker — same time-series pattern for Amazon ASINs.
• Crypto Price Tracker — BTC/ETH/SOL + 17K altcoins via CoinGecko + Binance fallback.

Browse the full portfolio at apify.com/khadinakbar.

Support

Open an issue on the actor's Apify Store page or reach out via apify.com/khadinakbar. Pull-request style suggestions on input schema or output fields are welcome.