📈 ETF Directory Scraper

🚀 Export ETF data with expense ratios, AUM, returns, and categories in seconds. No account needed - just run and download.

🕒 Last updated: 2026-05-22 · 📊 14 fields per record · 4,500+ ETFs · US market coverage

Pull structured data from the ETF Database screener - tickers, fund names, issuers, expense ratios, assets under management, categories, index tracked, YTD returns, 1-year returns, and average daily volume. Data is collected in real time via the ETF Database public API and detail pages.

The dataset covers all US-listed ETFs tracked by ETF Database (etfdb.com), sourced from live market data. Every record includes the core metrics passive investors and financial researchers need most.

---

Target Audience / Use Cases

Audience	Use Case
Passive investors	Screen ETFs by expense ratio, AUM, and category
Financial researchers	Build ETF comparison datasets
Portfolio managers	Track universe of available ETFs and performance
Fintech developers	Power ETF search and filter tools
Data journalists	Analyze ETF industry trends and market data
Educators	Teach passive investing concepts with real data

---

📋 What the ETF Directory Scraper does

• Fetches all 4,500+ US-listed ETFs from the ETF Database screener API
• Enriches each record with issuer, expense ratio, inception date, and index tracked from ETF detail pages
• Supports sorting by AUM, YTD return, or average volume
• Filters by asset class (Equity, Fixed Income, Commodity, Currency, Alternatives)
• Respects free/paid user limits automatically
• Returns clean, structured JSON/CSV ready for download

💡 Why it matters: ETF data is scattered across dozens of fund company websites. This scraper unifies it into one flat dataset you can filter, sort, and analyze in minutes.

---

🎬 Full Demo

🚧 Coming soon

---

⚙️ Input

Field	Type	Default	Description
maxItems	integer	10	Number of ETFs to return. Free users limited to 10.
assetClass	string	All	Filter by asset class: Equity, Fixed Income, Commodity, Currency, Alternatives, Asset Allocation
sortBy	string	assets	Sort field: assets (AUM), ytd (YTD return), average_volume

Example 1 - Top 100 ETFs by AUM:

{
  "maxItems": 100,
  "sortBy": "assets"
}

Example 2 - Top 50 Bond ETFs:

{
  "maxItems": 50,
  "assetClass": "Fixed Income",
  "sortBy": "assets"
}

⚠️ Good to Know: Free users are automatically limited to 10 items. Create a free account w/ $5 credit to unlock up to 1,000,000 records.

---

📊 Output

Field	Type	Example
📌 ticker	string	"VOO"
📛 name	string	"Vanguard S&P 500 ETF"
🔗 url	string	"https://etfdb.com/etf/VOO/"
🏢 issuer	string	"Vanguard"
💰 expenseRatio	number	0.0003
💵 aum	number	956804 (millions USD)
🗂️ category	string	"Large Cap Growth Equities"
📦 assetClass	string	"Equity"
📈 ytdReturn	number	9.23 (%)
📊 oneYearReturn	number	26.59 (%)
📉 avgVolume	number	9301940
🧭 indexTracked	string	"S&P 500 Index"
🗓️ inceptionDate	string	"Sep 07, 2010"
⏱️ scrapedAt	string	"2026-05-22T02:17:44.069Z"
❌ error	string	null

Sample records:

[
  {
    "ticker": "VOO",
    "name": "Vanguard S&P 500 ETF",
    "url": "https://etfdb.com/etf/VOO/",
    "issuer": "Vanguard",
    "expenseRatio": 0.0003,
    "aum": 956804,
    "category": "Large Cap Growth Equities",
    "assetClass": "Equity",
    "ytdReturn": 9.23,
    "oneYearReturn": 26.59,
    "avgVolume": 9301940,
    "indexTracked": "S&P 500 Index",
    "inceptionDate": "Sep 07, 2010",
    "scrapedAt": "2026-05-22T02:17:44.069Z"
  },
  {
    "ticker": "IVV",
    "name": "iShares Core S&P 500 ETF",
    "url": "https://etfdb.com/etf/IVV/",
    "issuer": "BlackRock, Inc.",
    "expenseRatio": 0.0003,
    "aum": 817532,
    "category": "Large Cap Growth Equities",
    "assetClass": "Equity",
    "ytdReturn": 9.23,
    "oneYearReturn": 26.6,
    "avgVolume": 7973494,
    "indexTracked": "S&P 500 Index",
    "inceptionDate": "May 15, 2000",
    "scrapedAt": "2026-05-22T02:17:44.631Z"
  }
]

---

✨ Why choose this Actor

• Zero configuration - runs out of the box with no API keys or accounts
• Real-time data from ETF Database - not cached or stale
• Complete field set - 14 fields per ETF including expense ratio, AUM, and 1-year return
• Asset class filtering - drill down into equity, bonds, commodities, or alternatives
• Handles 4,500+ ETFs - full US ETF universe in one dataset
• Clean numerics - AUM in millions, expense ratio as decimal, returns as percentage floats

---

📈 How it compares to alternatives

Feature	This Actor	Manual scraping	Financial APIs
No API key required	Yes	Yes	No
4,500+ ETFs	Yes	Slow	Varies
Expense ratio included	Yes	Manual	Sometimes
Category classification	Yes	Manual	Rarely
Index tracked	Yes	Manual	Rarely
Export to CSV/JSON	One click	Manual	Manual
Cost	Free (10 items) / Paid	Free but time-consuming	Monthly subscription

---

🚀 How to use

1. Go to the ETF Directory Scraper on Apify
2. Click Try for free
3. Set maxItems, optionally filter by assetClass or change sortBy
4. Click Start
5. Download results as JSON, CSV, Excel, or XML

---

💼 Business use cases

ETF Screening and Selection

Build automated screeners that filter by expense ratio thresholds, AUM minimums, and category. Identify the lowest-cost ETFs in any asset class.

Portfolio Research and Construction

Compare ETFs across the same category side by side. Analyze tracking differences, issuer concentration, and fund age via inception date.

Passive Investing Analysis

Track the evolution of the ETF industry - average expense ratios by category, AUM growth by issuer, and adoption of index-based strategies.

Financial Education

Use real ETF data to teach students about passive investing, index funds, and portfolio diversification with up-to-date market facts.

---

🔌 Automating ETF Directory Scraper

Connect to Make (formerly Integromat), Zapier, or any webhook to automate ETF data collection:

• Make: Trigger the actor on a schedule, send results to Google Sheets
• Zapier: New dataset item triggers Slack notification or database insert
• REST API: Call via https://api.apify.com/v2/acts/parseforge~etf-com-scraper/runs with your token

---

🌟 Beyond business use cases

Academic Research

Study passive investing adoption, expense ratio compression over time, or ETF market concentration by issuer.

Creative Projects

Build a personal ETF discovery tool or portfolio optimizer using real fund data.

Non-profit and Education

Teach financial literacy with real market data - compare low-cost index funds vs. expensive active funds.

Personal Experimentation

Explore the universe of ETFs - find niche thematic ETFs, newly launched funds, or the highest-yield bond ETFs.

---

🤖 Ask an AI assistant about this scraper

You can ask your favorite AI assistant:

"How do I use the ParseForge ETF Directory Scraper to find the cheapest S&P 500 ETFs?" "What ETF data fields does the Apify etf-com-scraper return?" "How do I filter ETFs by asset class with the ParseForge scraper?"

---

❓ Frequently Asked Questions

🔍 Where does the data come from? Data is collected in real time from ETF Database (etfdb.com), which aggregates data from fund companies, exchanges, and market data providers.

💰 How is AUM measured? AUM is reported in millions of USD as shown on ETF Database.

📊 What does expenseRatio represent? It is the annual fund operating expense as a decimal. For example, 0.0003 means 0.03% (3 basis points per year).

🆓 How many ETFs can free users get? Free users get up to 10 ETFs. Upgrade to access the full 4,500+ ETF universe.

📅 How current is the data? Data is scraped live at the time of your run. ETF Database updates daily.

🏢 Which issuers are included? All issuers on ETF Database are included - Vanguard, BlackRock, State Street, Invesco, Fidelity, and hundreds more.

🧭 What does indexTracked mean? It is the benchmark index the ETF aims to replicate. Active ETFs may have null here.

🗂️ What categories are available? ETF Database uses its own category taxonomy - Large Cap Growth Equities, Corporate Bonds, Gold, etc. Use the assetClass filter for broad groupings.

📈 Are returns real-time? Returns reflect the most recent data available on ETF Database at run time.

🔢 How many ETFs are in the database? The ETF Database currently tracks 4,591 US-listed ETFs.

---

🔌 Integrate with any app

Export to Google Sheets, Airtable, PostgreSQL, MongoDB, Slack, Excel, or any REST API. Apify supports webhook triggers, scheduled runs, and direct API access.

---

🔗 Recommended Actors

Actor	Description
OurAirports Global Airport Database Scraper	Global airport data with IATA codes, coordinates, and runway info
Stock Analysis Scraper	Public company financials and stock data
Financial Data Scraper	Broad financial market datasets

💡 Pro Tip: browse the complete ParseForge collection for more financial and data scrapers.

---

Disclaimer: This tool collects publicly available data from ETF Database for research and informational purposes. Always verify data with official fund documents before making investment decisions. ETF data changes daily - run frequency should match your data freshness requirements.