We extract real-time order books, spot prices, futures contracts, trade histories, and token metadata from KuCoin. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Spot Markets objects from kucoin.com. All fields typed and schema-versioned.
"symbol": "KCS-USDT", "base_currency": "KCS", "quote_currency": "USDT", "last_price": 9.42, "volume_24h": 1245032.14, "price_change_pct": 2.45, "high_24h": 9.65
| # | symbol | base_currency | quote_currency | last_price | bid_price | ask_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Order Book L2 objects from kucoin.com. All fields typed and schema-versioned.
"symbol": "BTC-USDT", "timestamp": "2026-05-12T09:14:00.124Z", "spread_absolute": 0.1, "mid_price": 64230.55, "depth_bid_1pct": 452.1, "depth_ask_1pct": 398.4
| # | symbol | timestamp | bids_array | asks_array | spread_absolute | spread_pct |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Futures & Perpetual objects from kucoin.com. All fields typed and schema-versioned.
"contract_symbol": "XBTUSDTM", "index_price": 64225.1, "mark_price": 64228.3, "funding_rate": 0.0001, "next_funding_time": "2026-05-12T16:00:00Z", "open_interest": 12500432
| # | contract_symbol | index_price | mark_price | funding_rate | next_funding_time | open_interest |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Trade History objects from kucoin.com. All fields typed and schema-versioned.
"trade_id": "8492018475", "symbol": "ETH-USDT", "price": 3450.25, "size": 2.5, "side": "buy", "timestamp": "2026-05-12T09:14:00.005Z"
| # | trade_id | symbol | price | size | side | timestamp |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Token Metadata objects from kucoin.com. All fields typed and schema-versioned.
"currency": "KCS", "name": "KuCoin Token", "circulating_supply": 96123456, "total_supply": 144123456, "is_margin_enabled": true, "withdrawal_fee": 0.5
| # | currency | name | circulating_supply | total_supply | network_list | withdrawal_fee |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our infrastructure captures high frequency market data, token metadata, and trading bot leaderboards from KuCoin without tripping rate limits or IP bans.
Extract real-time pricing, 24-hour volume, highs, lows, and price changes across all active spot and margin trading pairs.
Capture deep order book states including bid and ask arrays, spread calculations, and liquidity depth at defined intervals.
Monitor mark prices, index prices, funding rates, open interest, and maximum leverage limits for all futures contracts.
Record individual public trades with microsecond timestamps, execution price, size, and taker vs maker flags.
Extract supported deposit and withdrawal networks, circulating supply, total supply, and minimum withdrawal fees per asset.
Scrape top performing grid trading and DCA bot configurations, APR metrics, and runtime durations from KuCoin public leaderboards.
Track dynamic hourly interest rates for borrowing assets in cross and isolated margin markets.
Capture public liquidation orders on the futures market to feed risk models and sentiment indicators.
Execute sub-second polling routines distributed across residential proxy pools to maintain fresh data without triggering 429 errors.
Brief in. Clean data out.
Specify the trading pairs, data types, and required frequency. We design the target schema to match your quantitative models.
We configure extraction routines, proxy rotation, rate limit handling, and data normalisation logic for the KuCoin platform.
We test for timestamp precision, missing ticks, spread anomalies, and schema validation before production deployment.
Clean JSON, CSV, or Parquet files delivered to your AWS S3 bucket, Google BigQuery, or Snowflake instance.
Cryptocurrency exchanges aggressively rate limit data extraction. Here is how we maintain continuous pipelines for high frequency market data.
KuCoin enforces strict IP-based rate limits on public endpoints. We distribute requests across thousands of rotating IPs, ensuring continuous high-frequency extraction without triggering 429 Too Many Requests errors.
Cryptocurrency prices often require 8 to 12 decimal places of precision. Our pipelines use strict decimal types rather than standard floats, ensuring no data corruption occurs during extraction and downstream serialization.
Trading algorithms require exact chronological ordering. We capture KuCoin native server timestamps down to the microsecond and normalise them into ISO 8601 UTC formats for immediate database ingestion.
KuCoin lists new altcoins frequently. Our pipelines monitor the exchange metadata endpoints to automatically detect new trading pairs and instantly add them to the extraction queue.
We monitor extraction streams for stale order books, missing trade ticks, or sudden format changes. If KuCoin alters an endpoint structure, our engineering team is alerted instantly.
Quants feed historical order book snapshots and trade ticks into machine learning models to backtest high-frequency trading strategies.
Trading desks monitor KuCoin prices against Binance, OKX, and Bybit to identify and execute cross-exchange arbitrage opportunities.
Liquidity providers analyse spread dynamics, order book depth, and historical volatility to optimise their quoting algorithms.
Funds track futures open interest, funding rates, and liquidation events to model systemic risk and adjust portfolio exposure.
Analysts monitor retail trading bot configurations and KCS token metrics to gauge retail market sentiment and trend direction.
Universities and research institutions use historical tick data to study market microstructures and cryptocurrency price formation.
"KuCoin processes billions in daily volume across thousands of altcoin pairs, but extracting historical tick data requires infrastructure built for high frequency."
Most trading desks underestimate the engineering required to maintain continuous cryptocurrency data pipelines. Reliable KuCoin extraction demands rate limit circumvention, microsecond timestamp precision, and anomaly monitoring. DataFlirt handles the extraction layer so your quants can focus on alpha generation and strategy execution.
Everything supported by our kucoin.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy and Python 3.12 handle asynchronous request execution and data parsing, optimising throughput for high-frequency market data collection.
We route requests through vast proxy pools to distribute load and circumvent strict IP-based rate limiting imposed by the exchange.
Pipelines orchestrated via Apache Airflow push structured data directly to AWS S3, PostgreSQL, or analytical data warehouses with strict SLA monitoring.
Data delivered to where your team already works — no new tooling required.
About kucoin.com scraping, legality, and pipeline operations.
Ask us directly →Extracting publicly available market data, order books, and trade ticks is generally permissible. DataFlirt only targets public, non-authenticated endpoints and web pages. We do not extract private user data or execute trades. Clients should review KuCoin terms of service and consult legal counsel for specific compliance requirements.
KuCoin enforces strict rate limits on IP addresses. We distribute extraction requests horizontally across thousands of rotating proxy IPs. This allows us to maintain high-frequency polling rates without triggering 429 Too Many Requests errors or IP bans.
Yes. Our pipelines can monitor the KuCoin exchange metadata for new asset listings. Once a new token pair becomes active, it is automatically added to the extraction queue without requiring manual intervention.
Cryptocurrency prices require high precision to avoid floating point errors. Our pipelines extract and store numerical data using strict decimal types, ensuring absolute accuracy for prices, volumes, and funding rates.
We begin capturing and storing trade ticks from the moment your pipeline is commissioned. For historical data prior to the pipeline start date, we can extract available historical logs depending on KuCoin retention limits.
For real-time use cases, we can push data via Webhook with sub-second latency. For analytical use cases, we typically deliver batched Parquet or JSON files to S3 or BigQuery at minute, hourly, or daily intervals.
Yes. We offer a sample dataset covering a subset of trading pairs or a specific time window during the scoping phase. This allows your quantitative team to validate the schema, precision, and timestamp formats before committing.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need daily token metadata updates or continuous high-frequency order book snapshots across thousands of pairs, we build and operate the infrastructure. Tell us your requirements.
