Google Finance Scraper

Pull structured market data from Google Finance for any list of stocks, ETFs, and market indexes — live quotes, company profiles, earnings vs. estimates, historical price charts back to IPO, news headlines, and related peers. Feed it TICKER:EXCHANGE symbols (or paste quote URLs) and choose exactly which data categories you want per symbol. Built for quant researchers, fintech builders, and financial analysts who need a clean, structured Google Finance feed without maintaining a brittle in-house collector.

Why This Scraper?

• Five structured record types in one run — quotes (with merged company profiles), earnings periods, chart points, news, and related stocks, each tagged with a recordType so you can split them cleanly downstream.
• Eight chart windows from intraday to all-time — 1D, 5D, 1M, 6M, YTD, 1Y, 5Y, and MAX; the MAX window reaches back to a stock's IPO (Apple returns ~2,088 weekly candles, a full year ~252 daily bars, and 1D delivers intraday minute-level bars).
• EPS and revenue actual-vs-estimate per reporting period — every earnings row carries reported EPS and revenue against Wall Street estimates, the surprise percentages, and a beat/miss flag by fiscal quarter.
• After-hours pricing on every quote — extended-hours price, absolute change, and percent change with a timestamp, alongside the regular-session price, day range, 52-week range, market cap, and P/E.
• Full company profiles — CEO name, employee count, founding year, headquarters location, and the business description, localized into the language you pick.
• Related-peer discovery per ticker — Google's own set of comparable stocks for each symbol, each with a live mini-quote, so you get a competitor set without a second query.
• 10 interface languages — English, German, French, Spanish, Italian, Portuguese, Dutch, Japanese, Korean, and Chinese for localized company descriptions and news.
• One-click sector-index discovery — flip a single toggle to add Google Finance's equity sector indexes (Health Care, Materials, Financials, and more) for a market-wide snapshot without listing symbols by hand.
• Pick only what you pay for — a live quote is always included; every other category (profile, earnings, charts, news, related) is an opt-in module, so lean runs stay lean.

Use Cases

Quantitative Research & Backtesting

• Build historical price series per ticker across eight lookback windows, from intraday to IPO
• Assemble EPS and revenue surprise datasets for earnings-drift studies
• Snapshot day range, 52-week range, and volume for volatility models
• Pull all-time candle histories to seed long-horizon backtests

Market Monitoring & Dashboards

• Track live and after-hours prices for a watchlist on a schedule
• Feed change-percent and market-cap fields into a real-time market dashboard
• Alert on earnings beats and misses as new periods report
• Refresh a portfolio's quotes, P/E, and dividend yield on demand

Fintech Apps & Data Products

• Power a brokerage or portfolio app with quotes, profiles, and charts from one source
• Enrich an existing security master with CEO, employee count, and HQ location
• Embed related-peer lists into a stock comparison feature
• Localize company descriptions for a multi-language finance product

Competitive & Sector Research

• Map a company's peer set from its related-stocks list
• Compare market cap, P/E, and revenue across an industry group
• Add equity sector indexes for a top-down market view in one toggle
• Benchmark a target against the sector index it belongs to

News & Sentiment Analysis

• Collect the latest headlines, sources, and links per ticker for sentiment scoring
• Cap news volume per symbol to keep sentiment datasets balanced
• Join news flow to earnings dates to study post-announcement coverage

Getting Started

A Single Stock

The simplest possible run — one ticker with its live quote, profile, news, and related peers:

{
    "stocks": ["AAPL:NASDAQ"]
}

A Watchlist with Chosen Categories

Several symbols, keeping only the quote, profile, and earnings data:

{
    "stocks": ["AAPL:NASDAQ", "MSFT:NASDAQ", "GOOGL:NASDAQ", "TSLA:NASDAQ"],
    "dataModules": ["profile", "financials"]
}

Chart-Heavy Historical Pull

One year of daily candles plus news, with company text in German:

{
    "stocks": ["NVDA:NASDAQ", "AMZN:NASDAQ"],
    "dataModules": ["chart", "news", "profile"],
    "chartWindow": "1Y",
    "maxNewsPerStock": 10,
    "language": "de"
}

Sector-Wide Snapshot

Skip the symbol list entirely and let the actor discover equity sector indexes:

{
    "includeSectorIndexes": true,
    "maxDiscoveredSymbols": 20,
    "dataModules": ["related"]
}

Input Reference

What to Scrape

Parameter	Type	Default	Description
stocks	string[]	["GOOGL:NASDAQ", "AAPL:NASDAQ", "MSFT:NASDAQ"]	Symbols in TICKER:EXCHANGE form (e.g. AAPL:NASDAQ). Works for stocks, ETFs, and market indexes. You can also paste full Google Finance quote URLs. Each symbol is looked up independently.

Discovery

Parameter	Type	Default	Description
includeSectorIndexes	boolean	false	Also add Google Finance's equity sector indexes (Health Care, Materials, Financials, and more) to your results — a quick market-wide snapshot without listing symbols by hand.
maxDiscoveredSymbols	integer	20	When sector indexes are on, limits how many index symbols to add (1–100). Does not affect the symbols you enter above.

Data Categories

Parameter	Type	Default	Description
dataModules	string[]	["profile", "news", "related"]	Which categories to return per symbol. Options: Company profile (CEO, employees, HQ, description), Earnings (EPS & revenue vs. estimates), Price chart history, Latest news articles, Related stocks. A live quote is always included.

Chart & News Options

Parameter	Type	Default	Description
chartWindow	select	1M	How far back the price chart reaches: 1 day (intraday), 5 days, 1 month, 6 months, Year to date, 1 year, 5 years, or Maximum available. Only applies when the Price chart category is selected.
maxNewsPerStock	integer	6	Caps how many news articles to return per symbol (0–50). Only applies when the News category is selected.

Localization

Parameter	Type	Default	Description
language	select	English	Language for Google Finance text such as company descriptions and news. Ten options: English, German, French, Spanish, Italian, Portuguese, Dutch, Japanese, Korean, Chinese (Simplified).

Output

Every row carries a recordType field — quote, financialPeriod, chartPoint, newsArticle, or relatedStock — so you can filter each collection cleanly.

Quote (recordType: "quote")

The parent record for each symbol. Company-profile fields (description, CEO, employees, HQ, founded, market cap, P/E, 52-week range) are merged in when the Company profile category is selected.

{
    "recordType": "quote",
    "ticker": "AAPL",
    "exchange": "NASDAQ",
    "name": "Apple Inc",
    "type": "stock",
    "currency": "USD",
    "country": "United States",
    "price": 229.87,
    "change": 1.42,
    "changePercent": 0.62,
    "previousClose": 228.45,
    "brandColor": "#333333",
    "afterHours": { "price": 230.10, "change": 0.23, "changePercent": 0.10, "timestamp": "2026-07-02T23:59:00+00:00" },
    "lastUpdated": "2026-07-02T20:00:00+00:00",
    "symbol": "AAPL:NASDAQ",
    "url": "https://www.google.com/finance/quote/AAPL:NASDAQ",
    "description": "Apple Inc. is an American multinational technology company...",
    "ceo": "Tim Cook",
    "employees": 164000,
    "founded": 1976,
    "hq": { "city": "Cupertino", "state": "California", "country": "United States" },
    "marketCap": 3480000000000,
    "open": 228.90,
    "high": 230.44,
    "low": 228.10,
    "fiftyTwoWeekHigh": 260.10,
    "fiftyTwoWeekLow": 164.08,
    "avgVolume": 54000000,
    "peRatio": 34.8,
    "dividendYield": 0.44
}

Field	Type	Description
recordType	string	Always "quote"
ticker	string	Symbol ticker (e.g. AAPL)
exchange	string	Exchange code (e.g. NASDAQ)
name	string	Company or instrument name
type	string	stock or instrument (ETF / index)
currency	string	Quote currency
country	string	Country of listing
price	number	Current price
change	number	Absolute price change
changePercent	number	Percent price change
previousClose	number	Previous session close
brandColor	string	Google Finance brand accent color
afterHours	object	Extended-hours price, change, changePercent, and timestamp when available
lastUpdated	string	ISO 8601 quote timestamp
symbol	string	Full TICKER:EXCHANGE symbol
url	string	Google Finance quote URL

Company Profile Fields (merged into the quote)

Present when the Company profile category is selected.

Field	Type	Description
description	string	Business description (localized to language)
ceo	string	Chief executive name
employees	number	Employee count
founded	number	Founding year
hq	object	Headquarters city, state, country, street
marketCap	number	Market capitalization
open / high / low	number	Session open, high, and low
fiftyTwoWeekHigh / fiftyTwoWeekLow	number	52-week price range
avgVolume	number	Average trading volume
peRatio	number	Price/earnings ratio
dividendYield	number	Dividend yield

Earnings Period (recordType: "financialPeriod")

Emitted when the Earnings category is selected — one row per reporting period. This is earnings actual-vs-estimate data (not full financial statements).

{
    "recordType": "financialPeriod",
    "ticker": "AAPL",
    "fiscalYear": 2026,
    "fiscalQuarter": 2,
    "periodType": "quarterly",
    "fiscalEnd": "2026-03-31",
    "revenue": 90753000000,
    "revenueEstimate": 89200000000,
    "eps": 1.53,
    "epsEstimate": 1.50,
    "revenueSurprisePct": 1.74,
    "epsSurprisePct": 2.0,
    "beat": true,
    "currency": "USD",
    "reportedAt": "2026-05-01T20:30:00+00:00"
}

Field	Type	Description
ticker	string	Parent symbol
fiscalYear	number	Fiscal year
fiscalQuarter	number	Fiscal quarter (1–4)
periodType	string	Always quarterly — Google's earnings feed reports by fiscal quarter
fiscalEnd	string	Fiscal period end date
revenue / revenueEstimate	number	Reported revenue vs. estimate
eps / epsEstimate	number	Reported EPS vs. estimate
revenueSurprisePct / epsSurprisePct	number	Surprise vs. estimate, in percent
beat	boolean	Whether the period beat estimates
currency	string	Reporting currency
reportedAt	string	ISO 8601 report timestamp

Chart Point (recordType: "chartPoint")

Emitted when the Price chart category is selected — one row per historical candle. Row count scales with chartWindow (a MAX window can return a couple thousand points).

{
    "recordType": "chartPoint",
    "ticker": "AAPL",
    "date": "2026-07-02T20:00:00+00:00",
    "price": 229.87,
    "change": 1.42,
    "changePercent": 0.62,
    "volume": 48210000
}

Field	Type	Description
ticker	string	Parent symbol
date	string	ISO 8601 candle timestamp
price	number	Price at this point
change / changePercent	number	Change vs. the prior point
volume	number	Volume at this point when available

News Article (recordType: "newsArticle")

Emitted when the Latest news category is selected — capped by maxNewsPerStock.

{
    "recordType": "newsArticle",
    "ticker": "AAPL",
    "title": "Apple unveils new product lineup",
    "snippet": "The company announced updates across its hardware range...",
    "source": "Reuters",
    "url": "https://www.reuters.com/technology/apple-...",
    "thumbnailUrl": "https://encrypted-tbn0.gstatic.com/..."
}

Field	Type	Description
ticker	string	Parent symbol
title	string	Headline
snippet	string	Summary text
source	string	Publisher name
url	string	Article URL
thumbnailUrl	string	Thumbnail image URL

Related Stock (recordType: "relatedStock")

Emitted when the Related stocks category is selected — Google's peer set for the symbol, each with a live mini-quote.

{
    "recordType": "relatedStock",
    "ticker": "AAPL",
    "relatedTicker": "MSFT",
    "relatedExchange": "NASDAQ",
    "name": "Microsoft Corp",
    "currency": "USD",
    "price": 465.12,
    "change": -2.31,
    "changePercent": -0.49
}

Field	Type	Description
ticker	string	Parent symbol this peer relates to
relatedTicker	string	Peer symbol ticker
relatedExchange	string	Peer symbol exchange
name	string	Peer instrument name
currency	string	Peer quote currency
price / change / changePercent	number	Peer live mini-quote

Tips for Best Results

• Always include the exchange suffix. Symbols must be in TICKER:EXCHANGE form (e.g. AAPL:NASDAQ). Bare tickers like AAPL are skipped — the exchange tells Google Finance which listing to load.
• MAX and 1D charts return the most points. A MAX window can be a couple thousand candles per symbol and 1D returns intraday minute bars; narrow chartWindow (e.g. 1M or 1Y) to control both volume and cost when you don't need the full history.
• Turn off modules you don't need. A live quote is always included — leave chart and financials out of dataModules for the fastest, leanest runs.
• Stick to stocks, ETFs, and indexes. Crypto and currency pairs (like BTC-USD or EUR-USD) aren't supported and are skipped automatically — Google Finance only serves a sparkline for those, with no structured quote.
• Set language for localized profiles. Company descriptions and news come back in the language you choose — handy for multi-region products.
• Use includeSectorIndexes for a top-down view. Toggle it on with no stocks at all to pull equity sector indexes as a market-wide snapshot, or combine it with your own watchlist.
• Cap news to keep datasets balanced. Set maxNewsPerStock low (2–5) when you're building sentiment datasets so no single ticker dominates the sample.

Pricing

From $1.00 per 1,000 stocks + $0.08 per 1,000 chart points.

This actor uses a pay-per-event model with two events, so you only pay for the data you actually collect:

• Per stock — charged once per symbol scraped, covering its quote, company profile, earnings, news, and related peers (all bounded).
• Per chart point — charged once per historical price candle collected, and only when the Price chart category is turned on.

You're charged per stock, plus per historical chart point collected — pick the data you need and you only pay for it. Apify's Bronze, Silver, and Gold loyalty discount tiers apply automatically on the platform, so higher tiers pay less per event.

Example Costs

All figures below use the lowest (Gold) tier prices — $1.00 per 1,000 stocks and $0.08 per 1,000 chart points.

Run	Stocks	Chart points	Cost
1,000 stocks — quotes + news + related (no chart)	1,000 × $0.001	0	$1.00
1,000 stocks + 1-month daily charts (~21 pts each = 21,000 pts)	1,000 × $0.001	21,000 × $0.00008	$2.68
1,000 stocks + 1-year daily charts (~252 pts each = 252,000 pts)	1,000 × $0.001	252,000 × $0.00008	$21.16
100 stocks + MAX charts (~2,000 pts each = 200,000 pts)	100 × $0.001	200,000 × $0.00008	$16.10

Chart depth is the main cost driver: a quotes-only run is charged purely per stock, while a MAX-window chart pull adds a per-point charge for thousands of candles. No compute or time-based charges — you pay per stock and per chart point, plus a small fixed per-run start fee.

Apify's loyalty tiers apply automatically, so higher tiers pay less per event:

• Per stock (per 1,000): No discount $1.20 · Bronze $1.13 · Silver $1.07 · Gold $1.00
• Per chart point (per 1,000): No discount $0.095 · Bronze $0.09 · Silver $0.085 · Gold $0.08

Integrations

Export data in JSON, CSV, Excel, XML, or RSS. Connect to 1,500+ apps via:

• Zapier / Make / n8n — Workflow automation
• Google Sheets — Direct spreadsheet export
• Slack / Email — Notifications on new results
• Webhooks — Trigger custom APIs on run completion
• Apify API — Full programmatic access

Legal & Ethical Use

This actor is designed for legitimate financial research, market monitoring, and data-product development. Users are responsible for complying with applicable laws and Google Finance's terms of service, and for respecting content usage rules for any linked articles. Market data may be delayed and is provided for informational purposes only — it is not investment advice. Do not use extracted data for spam, harassment, or any illegal purpose.