Google Finance Stock & News Scraper

Extract real-time stock prices, P/E ratios, market cap, EPS, 52-week ranges, dividend yields, company info, and the latest news directly from Google Finance — in structured JSON, ready for analysis, AI pipelines, or CRM import.

No API key required. No monthly subscription. Pay only per ticker scraped.

Works with: Apify MCP Server (Claude, ChatGPT), LangChain, n8n, Make.com, Zapier, and direct REST API.

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What does Google Finance Scraper do?

Google Finance Scraper visits the Google Finance quote page for each stock ticker you provide and extracts the full data panel — price, fundamentals, company profile, and recent news — returning a clean, structured JSON record per ticker.

Built for investors, financial analysts, AI agents, and data engineers who need reliable, real-time stock data without the cost of Bloomberg, Refinitiv, or paid financial APIs.

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What data can you extract from Google Finance?

Field	Type	Example
ticker	string	"AAPL"
exchange	string	"NASDAQ"
company_name	string	"Apple Inc."
current_price	number	175.43
currency	string	"USD"
price_change	number	2.15
price_change_percent	number	1.24
previous_close	number	173.28
day_range_low	number	172.90
day_range_high	number	176.10
year_low	number	142.65
year_high	number	199.62
market_cap	string	"2.74T"
market_cap_usd	number	2740000000000
pe_ratio	number	28.5
forward_pe	number	26.2
dividend_yield	number	0.52
average_volume	number	55000000
eps	number	6.46
beta	number	1.29
revenue_ttm	string	"383.29B"
net_income_ttm	string	"96.99B"
employees	integer	164000
ceo	string	"Tim Cook"
founded	string	"1976"
headquarters	string	"Cupertino, CA"
website	string	"https://apple.com"
description	string	Company description
news	array	Up to 5 recent news articles

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How to scrape Google Finance stock data

1. Click Try for free to open the actor in Apify Console
2. Enter your tickers as an array — e.g. ["AAPL:NASDAQ", "TSLA:NASDAQ", "NVDA:NASDAQ"]
3. Enable or disable Include News (default: on)
4. Set Max results if you want to limit the run
5. Click Start — results appear in seconds per ticker
6. Download as JSON, CSV, or Excel

Ticker format

Tickers can be passed with or without an exchange:

• "AAPL:NASDAQ" — ticker + exchange (most reliable)
• "AAPL" — ticker only, defaults to NASDAQ
• "TSLA", "MSFT", "GOOGL" — all work without exchange

For non-US exchanges: "BP:LON" (London), "SAP:FRA" (Frankfurt), "SHOP:TSX" (Toronto).

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How to use Google Finance Scraper with Claude and ChatGPT (MCP)

Connect via the Apify MCP Server and ask naturally:

"What is Apple's current P/E ratio and market cap?"

"Get me the stock price, EPS, and latest news for TSLA, NVDA, and AMD"

"Is MSFT trading above its 52-week average? What's the dividend yield?"

"Fetch financials for my portfolio: AAPL, MSFT, GOOGL, AMZN, META, NVDA"

The AI automatically selects and runs this actor, returning structured results it can reason over and summarize.

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Use cases for Google Finance scraping

Portfolio monitoring — Schedule daily runs for your watchlist and track price, P/E, and EPS changes over time. Webhook the results to Google Sheets or Slack.

Financial research — Bulk-fetch fundamentals for entire sectors (e.g. all S&P 500 tech stocks) for comparative analysis without a Bloomberg terminal.

AI investment agents — Feed live Google Finance data to Claude or GPT-4 via MCP so your AI can answer real-time questions about valuations, earnings, and news.

News aggregation — Collect the latest financial news across dozens of tickers in a single run. Feed into RAG pipelines, sentiment analysis, or trading signals.

Competitor analysis — Track a competitor's market cap, revenue, and share price movement alongside your own company's metrics.

n8n / Make.com pipelines — Trigger runs on a schedule, push results to databases, send Slack summaries, or sync with your BI dashboard automatically.

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How much does Google Finance Scraper cost?

Volume	Price per ticker
Any volume	$0.02 per ticker

Example: Fetching data for 50 tickers costs $1.00. Fetching your full S&P 500 watchlist (500 tickers) costs $10.00.

You only pay for successful results. Failed tickers are not charged.

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API and integration

REST API

curl -X POST "https://api.apify.com/v2/acts/khadinakbar~google-finance-scraper/runs" \
  -H "Authorization: Bearer YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "tickers": ["AAPL:NASDAQ", "TSLA:NASDAQ", "MSFT:NASDAQ"],
    "includeNews": true,
    "maxResults": 10
  }'

JavaScript / Node.js

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_TOKEN' });

const run = await client.actor('khadinakbar/google-finance-scraper').call({
    tickers: ['AAPL:NASDAQ', 'TSLA:NASDAQ', 'NVDA:NASDAQ'],
    includeNews: true,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
// [{ ticker: 'AAPL', current_price: 175.43, pe_ratio: 28.5, ... }, ...]

Python

from apify_client import ApifyClient

client = ApifyClient('YOUR_TOKEN')

run = client.actor('khadinakbar/google-finance-scraper').call(
    run_input={
        'tickers': ['AAPL:NASDAQ', 'TSLA:NASDAQ', 'NVDA:NASDAQ'],
        'includeNews': True,
    }
)

items = list(client.dataset(run['defaultDatasetId']).iterate_items())
for stock in items:
    print(f"{stock['ticker']}: ${stock['current_price']} | P/E: {stock['pe_ratio']}")

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FAQ

Q: Does this work for non-US stocks? A: Yes — include the exchange suffix in your ticker: "HSBA:LON" for HSBC on London Stock Exchange, "SAP:FRA" for SAP on Frankfurt, "RY:TSX" for Royal Bank on Toronto. Most major global exchanges are supported.

Q: How fresh is the data? A: The actor fetches live data from Google Finance at the time of the run. Prices reflect the last trade price Google Finance shows — typically real-time or 15-minute delayed depending on the exchange.

Q: Why does it use residential proxies? A: Google detects and blocks datacenter IP addresses on their own properties. Residential proxies are necessary to maintain a high success rate. This is built into the actor — you don't need to configure anything.

Q: Can I scrape hundreds of tickers at once? A: Yes. The actor supports up to 1,000 tickers per run. For large batches (100+), expect roughly 5–10 minutes of runtime due to residential proxy speeds.

Q: What happens if a ticker fails? A: Failed tickers are logged but not charged. The actor continues with the remaining tickers. Check the actor log for any failures and their reasons.

Q: Can I schedule recurring runs? A: Yes — use Apify's built-in scheduler to run daily, weekly, or at any custom interval. Connect webhooks to push results automatically to Sheets, Slack, HubSpot, or any endpoint.

Q: Is scraping Google Finance legal? A: This actor only extracts publicly available data that anyone can view in a browser. See Apify's guide on web scraping legality.

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Integrations

This actor works with every major integration platform:

• Apify MCP Server — use with Claude, ChatGPT, Cursor for natural-language financial queries
• n8n — trigger runs, push results to databases or webhooks
• Make.com (Integromat) — automate financial data pipelines
• Zapier — connect to 5,000+ apps without code
• LangChain — feed live stock data into AI agents and RAG pipelines
• Google Sheets — sync daily stock data automatically
• Airtable — build financial dashboards from live data