Automatically scrapes real-time staking rewards data from major crypto platforms. Ideal for analysts, portfolio trackers, and DeFi projects needing accurate yield insights.
The StakingRewards Crypto Scrapper is a powerful no-code tool designed to scrape and structure cryptocurrency staking data from StakingRewards. Ideal for crypto analysts, DeFi platforms, investors, and developers, this extractor helps you track staking yields, market caps, reward rates, and asset metrics—all in one clean dataset.
With support for custom filtering by category, ecosystem, and timeframes, it offers deep insights across various staking types like Liquid Staking, Proof of Stake, Stablecoins, Testnets, and more.
This extractor scrapes dynamic staking data from StakingRewards, the leading aggregator for Proof-of-Stake and yield-bearing assets.
The data varies slightly by asset type, but common fields include:
assetName
– Full name of the asset (e.g., Ethereum)assetTicker
– Symbol or short code (e.g., ETH)assetLogo
– URL to the asset’s logo(Used for Proof-of-Stake and Ecosystems)
rewardsRate
– Current staking reward rate (%)rewardsRateChange
– Change in reward over selected timeframepriceUSD
– Current USD pricepriceChange
– % price change (24h, 7d, 30d, etc.)stakingMarketCap
– Market cap of staked tokensstakingMarketCapChange
– Change in staking market capstakingRatio
– % of total supply that is stakedreputation
– Validator reputation score (0–100)priceUSD
– Pegged price in USDmarketCap
– Total stablecoin market capmarketCapChange
– Market cap change over timeframetradingVolume
– 24h trading volumetradingVolumeChange
– % change in volumepegAccuracy
– How closely the asset maintains its $1 pegrewardRateRange
– Min and max yield range (e.g., [2, 6])providers
– Number of providers offering stakingprovider
– Name of staking provider (e.g., Lido)rewardsRate
– Current staking APYrewardsRateChange
– Change in APY over timeframemarketCap
– Total value of liquid staked assetsmarketCapChange
– Change in market cappegAccuracy
– Price ratio vs native asset (e.g., stETH:ETH)rewardsRate
– Reward rate for testnet participationrewardsRateChange
– Change in testnet rewardsstakedTokens
– Total tokens staked in testnetstakedTokensChange
– Change in staked volumestakingRatio
– Percentage of supply stakedreputation
– Validator or network reputation scorepriceUSD
– Current asset pricepriceChange
– Price % changemarketCap
– Total market capitalizationtradingVolume
– 24h trading volumetradingVolumeChange
– Volume % changerewardRateRange
– Available staking/yield rangesproviders
– Number of platforms offering rewardsNo coding required! Just follow these steps:
24H
, 7D
, 30D
, 90D
or 1Y
All
, Proof of Stake
, Liquid Staking
, Stablecoins
, Bitcoin & Others
or Testnet
.Ethereum
, Cosmos
, Polkadot
or BNB Chain
1{ 2 "timeframe": "30d", 3 "category": "proof-of-stake", 4 "ecosystem": "none", 5 "maxItems": 100, 6 "maxRequestsPerCrawl": 1, 7 "nameDataset": true 8}
24h
, 7d
, 30d
, 1y
proof-of-stake
, liquid-staking
, stablecoin
, bitcoin-and-others
, testnet
)ethereum-ecosystem
, cosmos-ecosystem
)1
for best stability)false
)After extraction, your structured dataset will look like this:
Standard Asset "category": "proof-of-stake" or "category": "all"
1{ 2 "assetName": "Ethereum", 3 "assetTicker": "ETH", 4 "assetLogo": "https://...ethereum.svg", 5 "rewardsRate": 3.2, 6 "rewardsRateChange": 0.12, 7 "priceUSD": 1800.34, 8 "priceChange": -4.51, 9 "stakingMarketCap": 60000000000, 10 "stakingMarketCapChange": 2.4, 11 "stakingRatio": 28.11, 12 "reputation": 9.3 13}
Testnet Asset "category": "testnet"
1{ 2 { 3 "assetName": "Celestia Testnet", 4 "assetTicker": "TIA-TEST", 5 "assetLogo": "https://...ethereum.svg", 6 "rewardRate": 12.0, 7 "rewardsRateChange": 1.15, 8 "stakedTokens": 590000, 9 "stakedTokensChange": 3.5, 10 "stakingRatio": 64.2, 11 "reputation": 7.5, 12}
Stablecoin "category": "stablecoin"
1{ 2 "assetName": "DAI", 3 "assetTicker": "DAI", 4 "assetLogo": "https://...ethereum.svg", 5 "priceUSD": 1.0, 6 "marketCap": 5200000000, 7 "marketCapChange": -0.9, 8 "tradingVolume": 840000000, 9 "tradingVolumeChange": 4.2, 10 "pegAccuracy": 99.9, 11 "rewardRateRange": [0.5, 8.5], 12 "providers": 12 13}
The StakingRewards Crypto Scrapper can be integrated with multiple platforms, including:
You can also set up webhooks to trigger automatic actions, such as sending job alerts or updating a database whenever a new job is scraped!
🔍 Crypto Market Research – Explore trends in staking, ecosystems, and asset categories
📊 Staking Dashboards & Analytics – Power your visualizations with fresh, structured staking data
📈 Yield Farming Strategy Comparison – Compare APYs, token distributions, and staking models
📡 Token Metrics Aggregation – Centralize staking data across protocols for reporting or alerts
🤖 Automated DeFi Bots – Feed structured staking metrics into bots and automation flows
💼 Institutional Portfolio Analysis – Support due diligence and portfolio management with staking insights
We're always working on improving the performance of our Actors. So if you've got any technical feedback for StakingRewards Crypto Scrapper or simply found a bug, please create an issue on the Actor's Issues tab in Apify Console
Yes! You can use the Apify API to programmatically run extractions and fetch results in real time.
The Apify API gives you programmatic access to the Apify platform. The API is organized around RESTful HTTP endpoints that enable you to manage, schedule, and run Apify actors. The API also lets you access any datasets, monitor actor performance, fetch results, create and update versions, and more.
To access the API using Node.js, use the apify-client
NPM package. To access the API using Python, use the apify-client
PyPI package.
Check out the Apify API reference docs for full details or click on the StakingRewards Crypto Scrapper API tab for code examples.
Our StakingRewards Crypto Scrapper is designed with ethics and compliance in mind. It only accesses public staking data that protocols and platforms have chosen to make available on StakingRewards. It does not collect personal or sensitive user information, such as emails or identity-related details.
Under regulations like the GDPR in the EU and other data protection laws worldwide, scraping personal data without consent is prohibited. Since this tool focuses purely on protocol-level analytics and public metrics, it's safe and legal to use for research, analysis, and automation.
If you’re planning to use the data commercially or at scale, it’s always smart to consult a legal professional. You can also check out Apify’s guide on ethical scraping and legality for more insights.
✅ No coding skills required
✅ Try it for free with Apify's free credits
✅ Download structured job data easily
Yes, if you're scraping publicly available data for personal or internal use. Always review Websute's Terms of Service before large-scale use or redistribution.
No. This is a no-code tool — just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.
It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.
Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.
You can use the Try Now button on this page to go to the scraper. You’ll be guided to input a search term and get structured results. No setup needed!