Morningstar Fund & ETF Scraper

Scrapes public Morningstar quote pages for mutual funds and ETFs. Each dataset item can include the fund name, ticker, ISIN, security ID, category, Morningstar ratings, price, currency, expense ratio, yield, assets, as-of text, and available performance periods.

Input

• startUrls: public Morningstar quote or search URLs. Quote URLs are the most reliable input.
• identifiers: ticker or Morningstar security IDs. These are converted to US ETF or mutual-fund quote URLs according to securityType.
• securityType: etf or mutual-fund for identifier inputs.
• maxResults: 1–100 unique records.
• useApifyProxy: enables the Apify-managed US proxy by default.

Morningstar may challenge automated traffic or restrict some analysis to subscribers. The Actor reports a blocked or empty outcome in SUMMARY and does not fabricate records or bypass access controls. Data fields are only populated when exposed on the public page.

Output and pricing

One valid dataset record is one fund-record PPE event at $0.03. The Actor writes a SUMMARY key-value record with result count, warnings, blocker state, and charged result events.

Example quote URL:

https://www.morningstar.com/etfs/xnas/spy/quote

What data does Morningstar Fund & ETF Scraper return?

Field	Type	Description
securityId	string or null	Morningstar security ID
ticker	string or null	Ticker
isin	string or null	ISIN
name	string	Fund or ETF name
securityType	string or null	Security type
url	string	Morningstar quote URL
category	string or null	Morningstar category
starRating	number or null	Morningstar star rating
medalistRating	string or null	Morningstar Medalist Rating
sustainabilityRating	string or null	Sustainability rating
price	number or null	Price
currency	string or null	Currency
expenseRatio	number or null	Expense ratio (%)
yield	number or null	Yield (%)
assets	number or null	Assets
asOf	string or null	As-of text
performance	object	Performance (%)
scrapedAt	string	Scraped at

Use cases

• Run a one-off research job and export the structured result as JSON, CSV, Excel, XML, or RSS from Apify.
• Schedule the same input to monitor changes over time and send completed datasets to a webhook or integration.
• Feed schema-shaped records into a database, spreadsheet, BI tool, or AI workflow with the source URL retained for verification.

Input example

{
  "startUrls": [
    {
      "url": "https://www.morningstar.com/etfs/xnas/spy/quote"
    }
  ],
  "identifiers": [
    "SPY",
    "VTI"
  ],
  "securityType": "etf",
  "maxResults": 10,
  "useApifyProxy": true
}

Run Morningstar Fund & ETF Scraper with the Apify API

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('muhammadafzal/morningstar-fund-etf-scraper').call({
  "startUrls": [
    {
      "url": "https://www.morningstar.com/etfs/xnas/spy/quote"
    }
  ],
  "identifiers": [
    "SPY",
    "VTI"
  ],
  "securityType": "etf",
  "maxResults": 10,
  "useApifyProxy": true
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

You can also run the Actor from Apify Console, schedules, webhooks, the REST API, Make, Zapier, n8n, or the hosted Apify MCP server.

Responsible use

Use this Actor only for data you are authorized to access. Follow the target website's terms, robots and access policies, and applicable privacy, database, copyright, anti-spam, and data-protection laws. Do not use it to bypass authentication or other access controls, collect private data, harass people, or make high-impact decisions without independent verification.

Support

When reporting a problem, include the Actor run ID, a redacted input, the expected result, and a small public example URL when applicable. Do not post API tokens, cookies, credentials, or personal data in an issue.

Frequently asked questions

Can I schedule Morningstar Fund & ETF Scraper?

Yes. Use an Apify schedule to run the same saved input at a chosen interval, then connect a webhook or integration to process the dataset when the run finishes.

How should I test a new input?

Begin with the prefilled example or a small limit. Confirm that the output fields, source coverage, runtime, and live charges match your workflow before increasing the scope.

How do I export the results?

Open the run's default dataset in Apify Console and export JSON, CSV, Excel, XML, or RSS. Applications can retrieve the same records through the Apify API client or REST dataset endpoint.

Can an AI agent call this Actor?

Yes. Add muhammadafzal/morningstar-fund-etf-scraper through the hosted Apify MCP server or call it through the API. The Actor's input and dataset schemas help agents construct valid requests and interpret returned records.