Google Finance

Google Finance

Get the latest Quotes and Historical data for Stocks, Indexes, Crypto, Exchange rates and more from Google Finance. It's fast and costs little!

NEWSSOCIAL_MEDIASEO_TOOLSApify

⚡ Make sure to increase the Actor's memory and timeout for long runs.

Input

  • Tickers (array)

    Returns data for the listed tickers.

    Expected format: {CODE} or {CODE}:{EXCHANGE} or {CODE}-{CODE} (for Cryptocurrency).

    Examples: GOOGL or GOOGL:NASDAQ or BTC-USD.

  • Process (select)

    • Search

      {CODE} or {CODE}-{CODE} returns a list of potential matches with general information for each ticker.

      {CODE}:{EXCHANGE} returns general information for the exact ticker.

    • Get Price

      {CODE} or {CODE}-{CODE} returns a list of potential matches with price information for each ticker.

      {CODE}:{EXCHANGE} returns price information for the exact ticker.

    • Get History

      {CODE} first tries to find the most relevant exchange, then returns history information.

      Recommended! {CODE}:{EXCHANGE} or {CODE}-{CODE} returns history information without overhead.

  • Batch (integer)

    Number of parallel requests to be executed - only relevant when there is more than 1 ticker.

    Default is 1. The higher the number, the more chances you have to be blocked.

  • Delay (integer)

    For high-volume scraping, make sure to set a reasonable waiting time.

Supported Exchange Codes

Original list: https://www.google.com/googlefinance/disclaimer/

1[
2	"BCBA", "BMV", "BVMF", "CNSX", "CVE", "NASDAQ", "NYSE", "NYSEARCA", "NYSEAMERICAN", "OPRA", "OTCMKTS", "TSE", "TSX", "TSXV",
3	"AMS", "BIT", "BME", "CPH", "EBR", "ELI", "EPA", "ETR", "FRA", "HEL", "ICE", "IST", "LON", "RSE", "STO", "SWX", "VTX", "TAL", "VIE", "VSE", "WSE",
4	"JSE", "TADAWUL", "TLV",
5	"BKK", "BOM", "KLSE", "HKG", "IDX", "KOSDAQ", "KRX", "NSE", "SGX", "SHA", "SHE", "TPE", "TYO",
6	"ASX", "NZE",
7	"MUTF", "MUTF_IN",
8	"INDEXBVMF", "INDEXCBOE", "INDEXCME", "INDEXDJX", "INDEXNASDAQ", "INDEXNYSEGIS", "INDEXRUSSELL", "INDEXSP", "INDEXBMV", "INDEXTSI",
9	"INDEXBIT", "INDEXBME", "INDEXDB", "INDEXEURO", "INDEXFTSE", "INDEXIST", "INDEXSTOXX", "INDEXSWX", "INDEXVIE",
10	"INDEXBKK", "INDEXBOM", "INDEXHANGSENG", "INDEXNIKKEI", "INDEXTYO", "INDEXTOPIX", "IDX", "SHE", "TPE",
11	"INDEXASX", "INDEXNZE",
12	"CBOT", "CME_EMINIS", "COMEX", "NYMEX"
13]

Output

For "Search" and "Get Price", using {CODE}:{EXCHANGE} returns a single entry instead.

Search with {CODE} returns:

1{
2	"ticker": "GOOGL",
3	"data": [
4		{
5			"id": "GOOGL:NASDAQ",
6			"code": "GOOGL",
7			"name": "Alphabet Inc Class A",
8			"exchange": "NASDAQ"
9		},
10		{
11			"id": "GOOGL:BMV",
12			"code": "GOOGL",
13			"name": "Alphabet Inc Class A",
14			"exchange": "BMV"
15		},
16		...
17	]
18}

Get Price with {CODE} returns:

1{
2	"ticker": "GOOGL",
3	"data": [
4		{
5			"id": "/m/07zln7n",
6			"ticker": "GOOGL:NASDAQ",
7			"code": "GOOGL",
8			"exchange": "NASDAQ",
9			"name": "Alphabet Inc Class A",
10			"currency": "USD",
11			"price": {
12				"lastPrice": 191.79,
13				"change": 2.3600006,
14				"changePct": 1.2458432
15			},
16			"previousClose": 189.43,
17			"region": "US",
18			"updateTimestamp": 1735954200,
19			"timezone": "America/New_York",
20			"timezoneOffset": -18000,
21			"afterHrsTrading": {
22				"lastPrice": 191.97,
23				"change": 0.18000793,
24				"changePct": 0.09385679
25			},
26			"previousTimestamp": 1735938001,
27			"afterHrsTimestamp": 1735952308
28		},
29		{
30			"id": "/g/11bbrjxcfr",
31			"ticker": "GOOGL:BMV",
32			"code": "GOOGL",
33			"exchange": "BMV",
34			"name": "Alphabet Inc Class A",
35			"currency": "MXN",
36			"price": {
37				"lastPrice": 3953.04,
38				"change": 57.66992,
39				"changePct": 1.4804735
40			},
41			"previousClose": 3895.37,
42			"region": "MX",
43			"updateTimestamp": 1735939372,
44			"timezone": "America/Mexico_City",
45			"timezoneOffset": -21600,
46			"afterHrsTrading": null,
47			"previousTimestamp": 1735938000,
48			"afterHrsTimestamp": null
49		},
50		...
51	]
52}

Get History returns:

1{
2	"ticker": "GOOGL:NASDAQ",
3	"data": [
4		{
5			"dateTimeUTC": "2025-01-27T14:30:00.000Z",
6			"price": {
7				"lastPrice": 194.83,
8				"change": 0,
9				"changePct": 0
10			},
11			"volume": 237264
12		},
13		{
14			"dateTimeUTC": "2025-01-27T15:00:00.000Z",
15			"price": {
16				"lastPrice": 193.14,
17				"change": -1.6900000000000261,
18				"changePct": -0.008674228814864375
19			},
20			"volume": 1691500
21		},
22		...
23	]
24}

Support

Google Finance does not provide volume for all types (e.g., Cryptocurrency).

Open a new issue for bugs or feature requests. Please share the run URL.

Cheers!

Frequently Asked Questions

Is it legal to scrape job listings or public data?

Yes, if you're scraping publicly available data for personal or internal use. Always review Websute's Terms of Service before large-scale use or redistribution.

Do I need to code to use this scraper?

No. This is a no-code tool — just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.

What data does it extract?

It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.

Can I scrape multiple pages or filter by location?

Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.

How do I get started?

You can use the Try Now button on this page to go to the scraper. You’ll be guided to input a search term and get structured results. No setup needed!