# 🚀 Google Finance Stock Prices · 50,000 Free Prices/Month (`omkar-cloud/google-finance-stock-prices`) Actor

Google Finance Stock Prices gets you price history ⚡ fast, 🎯 100% accurate and 🔍 ridiculously detailed — OHLC candles from 1-minute to weekly, back to 1980. 💰 $0.10 per 1,000 prices, no start fee. Scrape your first 50,000 prices free every month 🚀

- **URL**: https://apify.com/omkar-cloud/google-finance-stock-prices.md
- **Developed by:** [Omkar Cloud](https://apify.com/omkar-cloud) (community)
- **Categories:** Developer tools, Automation, Integrations
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.10 / 1,000 prices

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Google Finance Stock Prices

Google Finance Stock Prices by Omkar Cloud gets you 🎯 accurate, 🔍 detailed Google Finance price history.

Google Finance rate-limits automated readers and answers heavy use with "unusual traffic" captchas.

Google Finance Stock Prices beats it, so you get the data, and can successfully complete your project.

**$0.10 per 1,000 prices.** And with Apify's free plan you get $5 of credit every month, so your first **~50,000 prices each month are free**.

This is an excellent Actor made by Omkar Cloud, which is Rated Excellent — [4.7 based on 30 reviews on Trustpilot](https://www.trustpilot.com/review/omkar.cloud).

👉 [**Try Google Finance Stock Prices free**](https://apify.com/omkar-cloud/google-finance-stock-prices) — your first ~50,000 prices are Free.

### What can I get

- 🕯️ **OHLC candles** — open, high, low, close and volume for every bar
- ⏱️ **1-minute to weekly bars** — intraday for the last weeks, daily and weekly back to 1980
- 🗓️ **Any window or date range** — 1D, 5D, 1M, 6M, YTD, 1Y, 5Y, MAX or your own dates
- 🌍 **Every asset class** — stocks, ETFs, funds, indexes, futures, currencies and crypto

### Why Google Finance Stock Prices

Most other Google Finance scrapers fail you in one of four ways:

- 🗄️ **Inaccurate, cached, stale data**
- 🧩 **Low-detail data** — a few fields per row, never the full picture
- 💸 **Pay more to get the same data**
- 🪦 **Works today, breaks next month** — nobody maintains it

Google Finance Stock Prices is scraped live on every run, priced honestly, and actively maintained.

### Example: A Daily Candle

```json
{
  "input": "NVDA:NASDAQ",
  "symbol": "NVDA:NASDAQ",
  "name": "NVIDIA Corp",
  "type": "stock",
  "currency": "USD",
  "format": "candles",
  "interval": "1day",
  "time": "2026-08-26T16:00:00-04:00",
  "open": 212.64,
  "high": 213.6,
  "low": 209.23,
  "close": 209.66,
  "volume": 179900004,
  "session": "regular"
}
```

### Get Started with 50,000 Free Prices

1. [Hit **Try for Free Button**](https://apify.com/omkar-cloud/google-finance-stock-prices) — the input is pre-filled with Nvidia, Apple and Bitcoin over the last year.
2. Enjoy your data 😎.

### Pricing

High value, Low price.

| What | Price | What you get |
|---|---|---|
| **Prices** | **$0.10 per 1,000** | One row per bar: time, open, high, low, close, volume (or one closing price per point) |

No start fee — you pay only for the rows you get. Control your spend with **Max prices**: 100,000 prices ≈ $10.

💡 Apify's free plan includes $5 of credit every month — about **50,000 free prices, every month**.

👉 [**Scrape your first 50,000 prices free**](https://apify.com/omkar-cloud/google-finance-stock-prices)

### Run It from Code

Grab your API token from [Integrations Settings here](https://console.apify.com/settings/integrations) and replace `<YOUR_API_TOKEN>` below.

**Python** (`pip install apify-client`)

```python
from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")
run = client.actor("omkar-cloud/google-finance-stock-prices").call(run_input={
    "symbols": ["NVDA:NASDAQ", "AAPL"],
    "startDate": "2020-01-01",
    "interval": "1day",
})
for row in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(row["symbol"], row["time"], row["close"])
```

**Node.js** (`npm install apify-client`)

```javascript
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_API_TOKEN>' });
const run = await client.actor('omkar-cloud/google-finance-stock-prices').call({
    symbols: ['TSLA', 'BTC-USD'],
    window: '5D',
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
```

### 💬 Have Questions? We Have Answers.

You're a business owner — we know how hard completing a project can be. So we offer full support: just message us and we'll reply ✅ with a solution within 1 working day.

[![Message Us on WhatsApp](https://raw.githubusercontent.com/omkarcloud/assets/master/images/whatsapp-us.png)](https://api.whatsapp.com/send?phone=918178804274\&text=I%20need%20help%20with%20using%20the%20Google%20Finance%20Stock%20Prices%20Actor.)

[![Ask Us on Email](https://raw.githubusercontent.com/omkarcloud/assets/master/images/ask-on-email.png)](mailto:happy.to.help@omkar.cloud?subject=Help%20with%20Google%20Finance%20Stock%20Prices%20Actor\&body=I%20need%20help%20with%20using%20the%20Google%20Finance%20Stock%20Prices%20Actor.)

You are important to us — just message us and we will solve your problem ✅ within 1 working day. 🩷 Pinky Promise 🤙!

### Related Actors

💹 [**Google Finance Scraper**](https://apify.com/omkar-cloud/google-finance-scraper) — stocks, ETFs, funds, crypto: price, key stats, profile, financials and analyst ratings. $1 per 1,000 stocks.
🎙️ [**Google Finance Earnings Calls**](https://apify.com/omkar-cloud/google-finance-earnings-calls) — earnings call transcripts with every speaker, timestamped, plus audio. $5 per 1,000 transcripts.

### Popular Actors by Omkar Cloud

- [**G2 Product Scraper**](https://apify.com/omkar-cloud/g2-product-scraper) — G2 product details, ratings & AI-found contacts
- [**Website Email Contact Scraper**](https://apify.com/omkar-cloud/website-email-contact-scraper) — emails, phones & socials from any website
- [**AliExpress Product Scraper**](https://apify.com/omkar-cloud/aliexpress-product-scraper) — live product details, SKU variants, stock & shipping
- [**Booking Scraper**](https://apify.com/omkar-cloud/booking-scraper) — Booking.com hotels: prices, ratings, rooms & amenities
- [**IMDb Scraper**](https://apify.com/omkar-cloud/imdb-scraper) — IMDb titles: ratings, votes, cast, box office & charts

👉 [**Scrape your first 50,000 prices free now**](https://apify.com/omkar-cloud/google-finance-stock-prices)

# Actor input Schema

## `symbols` (type: `array`):

A symbol (NVDA:NASDAQ), a bare ticker (AAPL), a pair (BTC-USD, USD-INR), an index (.INX:INDEXSP) or any google.com/finance/quote link.

## `window` (type: `string`):

Preset time window. Ignored when a start or end date is set.

## `candles` (type: `boolean`):

Open, high, low, close and volume per bar. Off = one closing price per point. Custom date ranges always return candles.

## `startDate` (type: `string`):

YYYY-MM-DD. Daily and weekly history reach back to the listing's first trade (1980 for Apple).

## `endDate` (type: `string`):

YYYY-MM-DD. Defaults to today.

## `interval` (type: `string`):

Bar size for a custom range. Empty = picked from the range length. Currencies and crypto always return daily prices.

## `maxPricesPerSymbol` (type: `integer`):

Keep at most this many rows per symbol (oldest first).

## `maxResults` (type: `integer`):

Stop after this many rows. Caps the cost of a run.

## Actor input object example

```json
{
  "symbols": [
    "NVDA:NASDAQ",
    "AAPL",
    "BTC-USD"
  ],
  "window": "1Y",
  "candles": true,
  "maxPricesPerSymbol": 100000,
  "maxResults": 100000
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "symbols": [
        "NVDA:NASDAQ",
        "AAPL",
        "BTC-USD"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("omkar-cloud/google-finance-stock-prices").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "symbols": [
        "NVDA:NASDAQ",
        "AAPL",
        "BTC-USD",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("omkar-cloud/google-finance-stock-prices").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "symbols": [
    "NVDA:NASDAQ",
    "AAPL",
    "BTC-USD"
  ]
}' |
apify call omkar-cloud/google-finance-stock-prices --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,omkar-cloud/google-finance-stock-prices"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/1OdsObVDyhpjwdybu/builds/6lieIDJyqX8zlR5Rw/openapi.json