VettaFi ETFdb Screener Scraper
Pricing
from $19.00 / 1,000 results
VettaFi ETFdb Screener Scraper
Scrapes ETFs from the VettaFi ETFdb Screener and returns each fund as a flat row with ticker, name, asset class, issuer, expense ratio, and performance metrics.
Pricing
from $19.00 / 1,000 results
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0.0
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ParseForge
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2
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Monthly active users
6 days ago
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VettaFi ETFdb Screener Scraper
Scrape ETF data from the VettaFi ETFdb Screener, up to a million ETFs per run. Every fund comes with its ticker, name, asset class, issuer, expense ratio, and performance metrics. No login or API key. Export to CSV, JSON, Excel, or XML.
VettaFi's ETFdb Screener is the industry's most complete ETF database, but its web interface limits you to 25 rows per page and no bulk export. This Actor reads the public screener directly, paginates through every matching fund, and returns each ETF as one flat row in a fixed schema. You control how many funds to collect, from a quick sample to the entire universe.
| Who uses it | What they scrape VettaFi ETFdb for |
|---|---|
| Financial advisors | Build a complete list of low-cost ETFs for client portfolios |
| Quantitative researchers | Pull the full ETF universe for factor and momentum backtests |
| ETF issuers | Monitor competitor funds' expense ratios and asset growth |
| Data journalists | Analyze trends in ETF launches, closures, and fee compression |
What it does
This Actor collects ETFs from the VettaFi ETFdb Screener and returns each fund as a flat row with its ticker, name, asset class, issuer, expense ratio, and performance metrics.
- ๐ Bulk export: collect up to 1,000,000 ETFs in a single run, far beyond the screener's 25-row page limit.
- ๐ Complete coverage: every fund listed on ETFdb, including leveraged, inverse, and actively managed ETFs.
- ๐ Multiple formats: download your dataset as CSV, JSON, Excel, or XML for direct use in any tool.
- โ๏ธ Simple control: set the maximum number of ETFs to collect, from a quick sample to the entire database.
Results export to CSV, JSON, Excel, or XML, or straight from the API.
What you can do with VettaFi ETFdb data
๐ Build a low-cost ETF watchlist.
A financial advisor runs the Actor with maxItems set to 500, filters the output for expense ratios under 0.10%, and presents the list to clients seeking broad market exposure.
๐ฌ Backtest factor strategies.
A quant researcher collects all 3,000+ ETFs, joins the dataset with historical prices, and tests momentum and value signals across asset classes.
๐ข Monitor competitor funds.
An ETF issuer scrapes the screener weekly, tracks rival funds' assets under management and fee changes, and adjusts their own product lineup.
๐ฐ Report on ETF industry trends.
A data journalist pulls the full ETF list, aggregates by issuer and asset class, and writes a story on the rise of active ETFs and fee compression.
Why choose this scraper
| What you get | |
|---|---|
| No API key or registration | The public screener requires no authentication, so you can start scraping immediately. |
| One row per ETF | Every fund is returned as a flat object with consistent field names, ready for analysis. |
| Up to a million funds | The Actor handles pagination automatically, so you can collect the entire ETF universe. |
| Export to any format | Download your results as CSV, JSON, Excel, or XML with one click. |
How it compares
No other Store actor targets VettaFi ETFdb the same way, so the honest comparison is with the alternatives teams actually weigh.
| VettaFi ETFdb Screener Scraper | Build it in-house | By hand | |
|---|---|---|---|
| Setup | Run it now, zero config | Days of engineering | None, but hours per pull |
| When VettaFi ETFdb changes | Maintained for you | You fix it | You re-learn the page |
| Proxies, retries, anti-bot | Built in | Your problem | Browser only |
| Output | Fixed JSON schema, CSV/Excel export | Whatever you build | Copy-paste |
| Cost | Pay per result | Engineering time | Analyst hours |
Configure the run
Drive the Actor with a single input: the maximum number of ETFs to collect. The screener returns all funds by default, and the Actor paginates through results until it reaches your limit or the end of the list. The Input tab lists every parameter.
A first run with the defaults:
{"maxItems": 10}
A larger pull:
{"maxItems": 200}
Pricing
Pay-per-result: $0.021 per result collected. You pay only for the results written to your dataset.
| Results collected | Approximate cost |
|---|---|
| 100 results | $2.10 |
| 1,000 results | $21.00 |
| 10,000 results | $210.00 |
New Apify accounts start with $5 in free credit.
Free users
Free-plan runs return up to 10 results as a preview. Upgrade your Apify plan to collect up to 1,000,000 results per run.
Run it
- Create a free Apify account with $5 in credit.
- Open the VettaFi ETFdb Screener Scraper.
- Set your inputs and any filters, then click Start.
- Export the results as CSV, Excel, JSON, or XML from the Dataset tab.
Run it programmatically through the Apify API (run-sync-get-dataset-items) or the ApifyClient for JavaScript and Python.
Use with AI agents (MCP)
Give an AI agent live access to VettaFi ETFdb through the Model Context Protocol. Add the Actor to Claude, Cursor, or any MCP client:
$claude mcp add --transport http apify "https://mcp.apify.com?tools=parseforge/vettafi-etf-scraper"
Then prompt it in plain language to run the scraper and read back the results.
Troubleshooting
Why am I getting no results?
Check that maxItems is set to at least 1. If the screener itself is temporarily unavailable, wait a few minutes and retry. Also ensure your Apify account has available compute units.
The run stops before reaching my maxItems limit.
The Actor stops when it has collected all available ETFs from the screener. If the total number of funds is less than your maxItems, you will receive the full list.
Some fields are empty in the output.
Not all ETFs have every data point. For example, new funds may lack 1-year performance. Empty fields are returned as null or blank, which is expected.
The run takes a long time.
Collecting a large number of ETFs requires pagination and can take several minutes. Reduce maxItems for faster runs, or use a higher-memory Apify plan if needed.
FAQ
| Question | Answer |
|---|---|
| Does this Actor require an API key or login? | No. The VettaFi ETFdb Screener is publicly accessible, and this Actor reads the same data your browser would, without any authentication. |
| How many ETFs can I collect in one run? | You can set maxItems up to 1,000,000. The Actor will paginate through the screener until it reaches your limit or there are no more funds. |
| What data fields are returned for each ETF? | Each row includes the ticker, fund name, asset class, issuer, expense ratio, assets under management, and performance metrics like YTD and 1-year returns. The exact fields are shown in the sample output. |
| Can I filter the ETFs before scraping? | The Actor collects all ETFs from the screener by default. You can filter the results after export using any spreadsheet or data tool, or set maxItems to limit the number of rows. |
| Is the data updated in real time? | The Actor reads the live screener at the moment of the run, so you get the latest available data from VettaFi ETFdb. |
| What export formats are supported? | You can download your dataset as CSV, JSON, Excel, or XML directly from the Apify platform. |
| Can I schedule this Actor to run automatically? | Yes. Use Apify's scheduler to run the Actor daily, weekly, or at any custom interval, and store the results in a dataset or send them to a webhook. |
| Is this Actor affiliated with VettaFi? | No. This is an independent scraper built by ParseForge. It is not endorsed by or affiliated with VettaFi, LLC. |
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- morningstar-scraper: Use this to collect mutual fund and ETF ratings, holdings, and performance from Morningstar.
Browse the full ParseForge collection for more scrapers.
๐ Need help? Email parseforge@protonmail.com with your run ID, your input, and what you expected.
โ ๏ธ Disclaimer. This Actor is unofficial and is not affiliated with, endorsed by, or sponsored by VettaFi, LLC. It collects only publicly available data. You are responsible for using the collected data in compliance with the source's terms of service and applicable data-protection laws, including GDPR, CCPA, and PIPL. Do not use it to collect personal data unlawfully.
