Scrape real-time and historical cryptocurrency prices, order book depth, DeFi protocol metrics, on-chain signals, exchange listings, and social sentiment from 200+ crypto platforms and exchanges. Structured data for trading tools, portfolio applications, and blockchain research.
Cryptocurrency data scraping is the automated collection of structured market, on-chain, and ecosystem data from crypto exchanges, aggregator platforms, DeFi protocols, and blockchain analytics services. The crypto data landscape is uniquely rich and complex: real-time prices across hundreds of exchanges and thousands of trading pairs, order book depth that changes in milliseconds, DeFi protocol TVL and yield metrics that update with every on-chain transaction, NFT floor prices and collection volumes, social media sentiment that moves markets, and regulatory and listing event data that creates sharp price discontinuities.
Unlike traditional financial markets, crypto operates 24 hours a day, 365 days a year across a fragmented landscape of centralised exchanges (CEXes), decentralised exchanges (DEXes), and chain-native protocols. Each exchange has its own data format, API structure, and rate limiting behaviour. Aggregating this data into a unified, consistent feed — across both CEX and DEX sources — requires infrastructure purpose-built for crypto's specific characteristics.
DataFlirt's cryptocurrency scraping covers the full data stack. At the market data layer: OHLCV prices, trading volumes, and order book depth across major exchanges. At the DeFi layer: TVL, liquidity pool composition, yield rates, and protocol health metrics from DeFiLlama and protocol-native sources. At the on-chain signal layer: whale wallet activity, exchange inflows and outflows, miner behaviour, and network-level metrics that serve as leading indicators for price action. At the sentiment layer: social volume, Twitter/X mentions, Reddit activity, and fear and greed index signals.
The India angle is relevant here too. WazirX, CoinDCX, ZebPay, and BitBns are the primary Indian crypto exchanges, and they carry Indian Rupee trading pairs and liquidity data that is not visible on international aggregators. DataFlirt covers these Indian platforms alongside global exchanges, enabling clients to monitor the Indian crypto market specifically.
Comprehensive extraction built for reliability, accuracy, and scale.
Live OHLCV data across 200+ centralised and decentralised exchanges — tick data for major pairs, minute-level for broader coverage.
Level 2 order book data (full bid/ask depth) for major trading pairs on supported exchanges — updated at sub-second frequency.
TVL, liquidity pool composition, APY/APR yields, protocol revenue, and governance token holder data from DeFiLlama and protocol sources.
Whale wallet movements, exchange inflow/outflow, staking ratios, miner reserves, network hash rate, and active address trends.
Exchange rankings, trading volumes, fee structures, listed assets, and new listing announcement monitoring.
Twitter/X mention volume, Reddit post activity, Telegram channel metrics, and fear-and-greed index signals linked to token identifiers.
Every field you need, structured and ready to use downstream.
A proven process that turns any source into clean structured data — reliably.
{ "status": "success", "exchange": "binance", "scraped_at": "2025-03-21T14:22:00Z", "pair": "BTC/USDT", "quote": { "price": 84210.50, "24h_high": 85480.00, "24h_low": 82100.00, "volume_24h":28410000000, "change_24h":"-1.24%" }, "defi": { "tvl_usd": 48200000000, "top_protocol":"Lido" } }
Built on proven open-source tools and cloud infrastructure — no vendor lock-in.
Persistent WebSocket connections to major exchange APIs deliver price and order book updates with sub-second latency.
ccxt library provides normalised access to 200+ exchange APIs — unified interface across CEX REST and WebSocket endpoints.
TimescaleDB hypertables provide high-performance time-series queries over tick data, OHLCV, and metric histories at any resolution.
On-chain and API-based collection from Uniswap, Aave, Curve, Lido, and other major protocols for TVL, yield, and liquidity data.
Blockchain node queries, Etherscan/BSCScan API collection, and Nansen/Glassnode scraping for wallet behaviour and network metrics.
Price and volume data normalised across exchanges — adjusted for fee differences, quote currency, and pair naming conventions.
From solo analysts to enterprise data teams — here's how organizations use this data.
The cryptocurrency market never sleeps, never pauses, and never waits for your data pipeline to catch up. DataFlirt delivers the high-frequency, high-fidelity crypto data infrastructure — from tick-level CEX feeds to DeFi protocol metrics to on-chain signals — that trading teams, product builders, and researchers need to stay ahead of a market that measures opportunity in seconds.
Start free and scale as your data needs grow.
For small teams and projects getting started with data.
For growing teams with serious data requirements.
For large organizations with custom requirements.
Everything you need to know before getting started.
Join data teams worldwide using DataFlirt to power products, research, and operations with reliable, structured web data.
