DappRadar Rankings Scraper

DappRadar Rankings Scraper

Scrape DappRadar dApp rankings, blockchain rankings, and token rankings, up to a million per run. Every dapp comes with its rank, category, chain, and volume. No login or API key. Export to CSV, JSON, Excel, or XML.

DappRadar's official API needs an API key and rate-limits you. This reads the public rankings directly, filtered by category, chain, or keyword, and returns each match in one fixed schema.

Who uses it	What they scrape DappRadar for
Market researchers	Which dApps are trending in a niche this week
Crypto investors	Find high-volume dApps before they go mainstream
dApp developers	Monitor competitor rankings and user activity
Content creators	Pull live rankings for articles and videos

What it does

This Actor collects DappRadar dApp rankings, blockchain rankings, and token rankings, and returns each one as a flat row.

• 📊 Computed signals: rank, category, chain, and volume for each dapp.
• 🔍 Keyword search: find dapps, chains, or tokens by name.
• 🌐 Multi-chain support: covers 150+ chains and 9 categories.
• ⚡ Fast and scalable: collect up to a million dapps per run.

Results export to CSV, JSON, Excel, or XML, or straight from the API.

What you can do with DappRadar data

📈 Track dApp trends.

A market researcher runs the Actor daily on the Games category to see which dApps are gaining volume and adjust their report.

💰 Find investment opportunities.

A crypto investor scrapes the DeFi rankings for dApps with high volume and low rank to spot undervalued projects.

🛠️ Monitor competitors.

A dApp developer scrapes rankings filtered by their chain to track competitor dApps and user activity.

📰 Power content.

A content creator pulls the latest rankings for a weekly newsletter on blockchain gaming.

Why choose this scraper

	What you get
No API key	Scrape public rankings without registration or rate limits
Fixed schema	Every dapp returns the same flat row for easy analysis
Export anywhere	CSV, JSON, Excel, or XML for your pipeline
Scalable	From 1 to 1,000,000 dapps per run

How it compares

This Actor focuses on rankings data, while the competitor also scrapes individual dapp profiles and offers keyword search across all data types.

Feature	ParseForge	DappRadar Scraper
dApp rankings	Yes	Yes
Blockchain rankings	Yes	Yes
Token rankings	Yes	Yes
Individual dapp profiles	Not listed	Yes
Keyword search	Not listed	Yes
Multi-chain support (150+ chains)	Yes	Yes

Configure the run

Drive the Actor from rankings, categories, chains, and keywords, alone or together, and filters run as each dapp is read so only matches reach your dataset. 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

1. Create a free Apify account with $5 in credit.
2. Open the DappRadar Rankings Scraper.
3. Set your inputs and any filters, then click Start.
4. 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 DappRadar 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/dappradar-rankings-scraper"

Then prompt it in plain language to run the scraper and read back the results.

Troubleshooting

Why am I getting no results?

Your filters may be too restrictive. Try removing category or chain filters, or increase the maximum number of dapps.

Why is the run slow?

Scraping a large number of dapps takes time. Reduce the maximum number of dapps or narrow your filters to speed up the run.

Why are some fields empty?

Some dapps may not have data for certain fields, such as volume. This is normal and reflects the public listing.

Can I scrape a specific dapp's profile?

This Actor focuses on rankings. For individual dapp profiles, consider using a dedicated DappRadar profile scraper.

FAQ

Question	Answer
Do I need a DappRadar API key?	No. This Actor scrapes the public rankings directly, so no API key or registration is required.
What data does each dapp row include?	Each row includes the dapp's rank, name, category, chain, and volume, along with other fields from the public listing.
Can I filter by category or chain?	Yes. You can filter by category (DeFi, Games, NFT, etc.) and chain (Ethereum, BNB Chain, etc.) using the input options.
How many dapps can I scrape in one run?	You can set the maximum number of dapps to collect, up to 1,000,000 per run.
What export formats are supported?	You can export the results to CSV, JSON, Excel, or XML.
Does this Actor scrape token rankings?	Yes, it can scrape token rankings in addition to dapp and blockchain rankings.
Is this Actor legal to use?	You should only scrape public data and comply with DappRadar's terms of service. This Actor does not bypass any access controls.
Can I schedule this Actor to run automatically?	Yes, you can schedule runs on Apify to collect rankings at regular intervals.
What if I get no results?	Check your filters. If you filter by a category or chain that has no dapps, you will get an empty dataset. Try broadening your filters.
Does this Actor handle pagination?	Yes, it automatically paginates through the rankings to collect up to the maximum number of dapps you set.

Related actors

Browse the full ParseForge collection for more scrapers.

🆘 Need help? Email parseforge@protonmail.com with your run ID, your input, and what you expected.

⚠️ Disclaimer. This Actor is unofficial and is not affiliated with, endorsed by, or sponsored by DappRadar. 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.