List Companies with Largest Dividend on NASDAQ + NYSE using Python + Massive

In this tutorial, we are going to write a Python script that finds the companies with the largest dividends on the NYSE and NASDAQ. This is useful if you want to scan large-cap companies and build your own dividend stock list.

This tutorial assumes you have a basic understanding of programming and Python. If you just want the list of companies as of Nov 2025, scroll to the bottom of the page.

Step 1: Create a Massive account

The first step is signing up for a new Massive account. We are going to use the free tier for pulling the stock data.

Massive was previously Polygon.io. You can sign up at massive.com.

Step 2: Choose the exchanges

We are going to call the "All Tickers" endpoint, which takes exchange as a query parameter.

Massive uses Market Identifier Code (MIC) values according to ISO 10383. In plain English, XNAS is Nasdaq and XNYS is NYSE.

exchanges = ['XNAS', 'XNYS']

Step 3: Plan around the API limits

Massive has a limitation of 5 requests per minute, which is fairly slow. The code below will make 5 requests to process a single company.

This will not be an efficient way of finding these stocks because we will scan all stocks to disqualify them. A better approach would be starting with a seeded list.

Step 4: Scaffold the Python script

Start with the API key, exchange list, and function placeholders:

api_key = ''

exchanges = ['XNAS', 'XNYS']

def get_page_of_tickers(offset):
	return []

def find_all_dividend_stocks_on_market():
	return []

def main():
	for exchange in exchanges:
		has_more = True
		while has_more:
			pass

main()

Conclusion

You now have the starting structure for scanning NASDAQ and NYSE tickers with Python and Massive to find large-cap dividend stocks.