Quick verdict: Google Finance never had a public API and the unofficial endpoints died around 2017. The 7 working alternatives in 2026 are yfinance (free, Python), Alpha Vantage, IEX Cloud, Polygon.io, Twelve Data, Tiingo, and direct scraping of Yahoo Finance through residential proxies. For free hobby use yfinance wins; for production trading IEX Cloud or Polygon.io; for international coverage Alpha Vantage.
This guide compares the 7 alternatives on data coverage, pricing, rate limits, latency, and code examples — plus when scraping Yahoo Finance directly is more cost-effective than any paid API.
Google's stock-data product has been a consumer-facing widget since launch — never a developer API. The unofficial endpoint at finance.google.com/finance/info?client=ig&q=NASDAQ:AAPL worked until ~2017 and produced JSON; it was deprecated when Google migrated finance to a search-result feature. There has been no replacement since.
If you've found a "Google Finance API" tutorial dated 2020+, it's referencing one of: (1) Google Sheets' GOOGLEFINANCE() function (works only inside Sheets, not callable from outside); (2) cached/stale documentation; (3) a third-party wrapper that scrapes the same Yahoo Finance data the alternatives below use directly.
| Source | Free tier | Paid start | Coverage | Real-time? |
|---|---|---|---|---|
| yfinance (Python) | Unlimited (unofficial) | N/A | Global stocks, ETFs, crypto, forex | 15-min delayed |
| Alpha Vantage | 25 req/day | $49.99/mo | Global, technical indicators, crypto | Yes (premium) |
| IEX Cloud | 50K credits/mo | $9/mo | US equities + options | Yes |
| Polygon.io | 5 req/min, EOD | $99/mo | US stocks, options, crypto, forex | Yes (paid) |
| Twelve Data | 800 req/day | $29/mo | Global stocks + crypto + forex | Yes (paid) |
| Tiingo | 1K req/hr | $10/mo | US equities + crypto + news | Yes (paid) |
| Yahoo Finance scraping | Free (proxy cost) | $1.75/GB | Same as yfinance + manual extras | 15-min delayed |
The default for most retail-trading and academic-research workflows. Reverse-engineers Yahoo Finance and exposes it as a Python API.
pip install yfinance
import yfinance as yf
# Single ticker
aapl = yf.Ticker("AAPL")
print(aapl.info["currentPrice"])
print(aapl.history(period="1mo"))
# Multiple tickers
tickers = yf.Tickers("AAPL MSFT GOOG TSLA")
print(tickers.tickers["AAPL"].info)
# Options chain
opt = aapl.option_chain("2026-06-19")
print(opt.calls.head())
Strengths: Free, unlimited, comprehensive coverage. Weaknesses: No SLA, breaks when Yahoo changes HTML, 15-min delay.
Best free official API. 25 req/day on the free tier, generous enough for daily-update workflows.
import requests
key = "YOUR_KEY"
url = f"https://www.alphavantage.co/query?function=GLOBAL_QUOTE&symbol=AAPL&apikey={key}"
r = requests.get(url)
print(r.json()["Global Quote"]["05. price"])
Lowest-latency US-equity option. 50K free credits/month covers ~10K-50K requests depending on endpoint cost. Paid plans start at $9/mo.
import requests
token = "YOUR_TOKEN"
r = requests.get(f"https://cloud.iexapis.com/stable/stock/AAPL/quote?token={token}")
print(r.json()["latestPrice"])
Best for institutional / high-frequency use. Real-time, options chains, tick-level data. Free tier is 5 req/min, end-of-day only — not enough for active use.
import requests
key = "YOUR_KEY"
r = requests.get(f"https://api.polygon.io/v2/aggs/ticker/AAPL/prev?apiKey={key}")
print(r.json()["results"][0]["c"]) # close price
800 free req/day across stocks, crypto, forex. Plans from $29/mo. Good middle ground for indie-developer workflows.
1,000 req/hr free, $10/mo paid. Strong news API integrated with quote data. Limited coverage (US-focused) but cheap for the volume.
For high-volume scraping where API rate limits become expensive, scraping Yahoo Finance directly through rotating residential proxies can be cheaper. At $2.75/GB residential and ~25 KB per page, that's about $0.07 per 1,000 quote pages — significantly cheaper than IEX at scale.
import requests
from bs4 import BeautifulSoup
proxies = {"https": "http://USER:[email protected]:8080"}
r = requests.get("https://finance.yahoo.com/quote/AAPL", proxies=proxies, timeout=20)
soup = BeautifulSoup(r.text, "lxml")
price = soup.select_one('fin-streamer[data-symbol="AAPL"][data-field="regularMarketPrice"]').get_text()
print(price)
For programmatic scraping at scale, rotate IPs to avoid Yahoo's per-IP rate limits. See our rotating proxies with Python requests guide. Verify proxy egress with our IP lookup tool before launching the scrape.
| If you need... | Pick |
|---|---|
| Free, hobby/research use | yfinance |
| Production with low volume | Tiingo or IEX Cloud ($9-10/mo) |
| Real-time US trading data | IEX Cloud or Polygon.io |
| International coverage | Alpha Vantage or Twelve Data |
| High-volume historical scrape | Yahoo Finance + residential proxies |
| Options chains | Polygon.io (paid) or yfinance |