📈 IEX Cloud Replacement — Stock Data API
Pricing
Pay per usage
📈 IEX Cloud Replacement — Stock Data API
Drop-in IEX Cloud replacement. Quote, stats, chart, news endpoints. IEX-compatible response shape, Yahoo Finance backend.
Pricing
Pay per usage
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0.0
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Developer
Stephan Corbeil
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2
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1
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6 days ago
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Drop-in replacement for IEX Cloud. Quote, stats, chart, news endpoints — same response shape, free-tier pricing, no API key juggling. Built for devs whose integrations broke when IEX Cloud shut down.
Why this exists: IEX Cloud shut down August 31, 2024 after being acquired by IEXSD. Thousands of finance dashboards, Slack bots, Zapier workflows, trading journals, and portfolio trackers went dark overnight. The official replacement path (IEX Cloud → Intrinio, Polygon, or Tiingo) is either expensive ($79+/mo), requires code rewrites, or has a much narrower free tier.
This actor returns data in IEX Cloud's exact JSON field shape so existing code that expects latestPrice, marketCap, week52High, changePercent, etc. continues to work with a single base-URL change.
🔑 Features
- IEX-compatible response shape —
latestPrice,companyName,changePercent,week52High,marketcap,peRatio, and all the fields your code already parses - 4 endpoint families —
quote,stats,chart_*(1d/5d/1m/6m/1y),news - Batch-friendly — pass up to 50 symbols in one call, pay per symbol returned
- Yahoo Finance backend — free upstream source, no IEX token or monthly fee
- Pay-per-event pricing — $0.001 per symbol. Cheaper than any paid stock API on the market at low volume.
- Zero browser, zero scraping — uses the public
yfinancelibrary. Millisecond-latency per call.
💼 Common Use Cases
- Resurrect old dashboards — Grafana, Metabase, Retool boards that died when IEX Cloud went dark
- Portfolio trackers — personal finance spreadsheets using IEX Cloud /quote endpoint
- Slack / Discord price bots —
/price AAPLcommands wired through Zapier → Apify - Trading journals — nightly snapshots of holdings with latestPrice + ytdChange
- Robo-advisor prototypes — factor screens based on peRatio, marketcap, beta
- Algorithmic trading notebooks — historical OHLCV pulled through
chart_1y - News sentiment pipelines — pull recent headlines per ticker for NLP analysis
📥 Input Example — Real-Time Quotes
{"symbols": ["AAPL", "MSFT", "TSLA", "NVDA"],"endpoint": "quote"}
📥 Input Example — Key Statistics
{"symbols": ["AAPL"],"endpoint": "stats"}
📥 Input Example — 1 Year Historical
{"symbols": ["AAPL", "MSFT"],"endpoint": "chart_1y"}
📥 Input Example — News Headlines
{"symbols": ["NVDA"],"endpoint": "news","newsLimit": 20}
📤 Output — Quote (IEX-compatible shape)
{"symbol": "AAPL","companyName": "Apple Inc.","primaryExchange": "NMS","latestPrice": 228.52,"latestSource": "Yahoo Finance","previousClose": 226.34,"change": 2.18,"changePercent": 0.00963,"open": 226.80,"high": 229.87,"low": 225.97,"volume": 48720311,"avgTotalVolume": 52334120,"marketCap": 3452893000000,"peRatio": 34.82,"week52High": 237.49,"week52Low": 164.08,"ytdChange": 0.142,"currency": "USD"}
🐍 Python SDK Example
from apify_client import ApifyClientclient = ApifyClient("YOUR_APIFY_TOKEN")run = client.actor("nexgendata/iex-cloud-replacement").call(run_input={"symbols": ["AAPL", "MSFT", "GOOGL"],"endpoint": "quote"})for item in client.dataset(run["defaultDatasetId"]).iterate_items():print(item["symbol"], item["latestPrice"], item["changePercent"])
🌐 cURL Example
curl -X POST "https://api.apify.com/v2/acts/nexgendata~iex-cloud-replacement/run-sync-get-dataset-items?token=YOUR_TOKEN" \-H "Content-Type: application/json" \-d '{"symbols": ["AAPL", "MSFT", "TSLA"],"endpoint": "quote"}'
🔄 Migrating from IEX Cloud
If your old code looked like this:
r = requests.get(f"https://cloud.iexapis.com/stable/stock/{sym}/quote?token={IEX_TOKEN}")
Replace with:
r = requests.post(f"https://api.apify.com/v2/acts/nexgendata~iex-cloud-replacement/run-sync-get-dataset-items?token={APIFY_TOKEN}",json={"symbols": [sym], "endpoint": "quote"})
The response field names are identical (latestPrice, companyName, marketCap, week52High, etc.), so your downstream parsing code keeps working.
🔗 Zapier / Make.com Integration
- Google Sheets row added → Run actor with symbol → Append price data to row
- Daily trigger → Fetch watchlist quotes → Post to Slack
- Notion database → Sync market cap + PE ratio nightly
❓ FAQ
Q: What data provider is behind this?
Yahoo Finance, accessed through the public yfinance Python library. Data quality matches IEX Cloud's free tier.
Q: Is this real-time or delayed? Near real-time during market hours (Yahoo provides 15-minute delayed quotes for most US equities; exchange-delayed or live for some). For institutional-grade real-time, use Polygon or IEX's enterprise successor.
Q: Can I use this for algo trading? For paper trading, research, and non-latency-critical strategies — yes. For live production trading with tight latency requirements, use a dedicated market data feed.
Q: What tickers are supported?
Anything Yahoo Finance covers: US equities, international equities (with .L, .TO, .DE suffixes), ETFs, mutual funds, currency pairs, crypto. Index tickers need ^ prefix (e.g. ^GSPC).
Q: What happens if Yahoo Finance changes their API?
yfinance is actively maintained and handles Yahoo's occasional API changes. We pin a version range that's proven stable.
Q: Is there a rate limit? Apify platform sets the limit (typically hundreds of symbols per minute are fine). Yahoo Finance may throttle if you hammer 1000+ symbols back-to-back — batch sensibly.
💰 Pricing (Pay-Per-Event)
- Actor start: $0.005
- Symbol returned: $0.001
Typical run cost: $0.005 + $0.001 × (num symbols). A 50-symbol watchlist = $0.055. Cheaper than any tiered subscription at low volume.
🔗 Related NexGenData Actors
- SaaS Pricing Tracker — track competitor SaaS pricing
- Shopify Spy — Shopify competitive analysis
- Google Trends Scraper — trend-adjust stock signals with search volume
🚀 Apify Affiliate Program
New to Apify? Sign up with our referral link for free platform credits.
An IEX Cloud drop-in for finance devs, quant hobbyists, and anyone whose dashboard died on August 31, 2024. Built by NexGenData.