🪙 KuCoin Crypto Tickers Scraper

🚀 Export every KuCoin spot ticker in seconds. Filter 1,000+ trading pairs by quote asset, sort by 24h volume, change, or last price, and get clean price, bid/ask, fee, and coefficient fields. No API key, no registration, no rate-limit headaches.

🕒 Last updated: 2026-05-13 · 📊 23 fields per record · 🪙 1,000+ pairs · 💱 9 quote currencies

The KuCoin Crypto Tickers Scraper queries the official KuCoin public allTickers endpoint and returns 23 fields per record, including last price, best bid and ask, 24h high and low, base and quote volume, taker and maker fee rates, takerCoefficient and makerCoefficient, computed spread in basis points, and ISO timestamps. The actor splits the dashed symbol into baseAsset and quoteAsset so every record is ready for joins without extra parsing.

KuCoin lists pairs against USDT, USDC, BTC, ETH, KCS, DAI, TUSD, EUR, and TRX, and this Actor covers the full spot catalog in one request. Results come back ready to download as CSV, Excel, JSON, or XML. Filtering and sorting run server-side, so you skip the rate-limit dance entirely.

🎯 Target Audience	💡 Primary Use Cases
Quant teams, crypto analysts, arbitrage bots, fee-aware market makers, portfolio dashboards, fintech apps, researchers, journalists	Price snapshots, volume leaderboards, fee-tier monitoring, arbitrage detection, listing trackers, training datasets, KCS pair coverage

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📋 What the KuCoin Tickers Scraper does

Three filtering and sorting workflows in a single run:

• 🌐 Full-catalog export. Every live spot pair on KuCoin in one dataset.
• 💱 Quote-asset filter. Restrict to USDT, USDC, BTC, ETH, KCS, DAI, TUSD, EUR, or TRX markets.
• 📊 Multi-field sorting. Order by quote volume, base volume, 24h percent change, last price, or symbol.

Each record includes symbol, baseAsset, quoteAsset, lastPrice, averagePrice, priceChange, priceChangePercent, 24h high and low, bidPrice and askPrice, computed spreadAbs and spreadBps, volume24h, quoteVolume24h, takerFeeRate, makerFeeRate, takerCoefficient, makerCoefficient, tickerTime, and a scrapedAt timestamp.

💡 Why it matters: KuCoin is one of the few major exchanges that exposes per-pair taker and maker fee rates through the public ticker endpoint. Capturing them with each record is essential for any fee-aware trading strategy or accurate net-PnL backtest.

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🎬 Full Demo

🚧 Coming soon: a 3-minute walkthrough showing how to go from sign-up to a downloaded KuCoin ticker dataset.

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⚙️ Input

Input	Type	Default	Behavior
quoteAsset	string (enum)	""	One of USDT, USDC, BTC, ETH, KCS, DAI, TUSD, EUR, TRX. Empty = all pairs.
maxItems	integer	10	Records to return. Free plan caps at 10, paid plan at 1,000,000.
sortBy	string (enum)	"quoteVolume"	One of quoteVolume, volume, changePercent, lastPrice, symbol.

Example: top 50 USDT pairs by 24h quote volume.

{
    "maxItems": 50,
    "quoteAsset": "USDT",
    "sortBy": "quoteVolume"
}

Example: every KCS-quoted pair sorted by 24h percent change.

{
    "maxItems": 200,
    "quoteAsset": "KCS",
    "sortBy": "changePercent"
}

⚠️ Good to Know: KuCoin reports fee rates per pair, which lets you compute net PnL exactly. Pairs with promotional zero-fee periods will show takerFeeRate or makerFeeRate of 0 for the duration of the promotion.

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📊 Output

Each ticker record contains 23 fields. Download the dataset as CSV, Excel, JSON, or XML.

🧾 Schema

Field	Type	Example
🆔 symbol	string	"BTC-USDT"
🔗 url	string	"https://www.kucoin.com/trade/BTC-USDT"
🪙 baseAsset	string | null	"BTC"
💱 quoteAsset	string | null	"USDT"
💰 lastPrice	number | null	79111.8
📐 averagePrice	number | null	80292.67347734
📈 priceChange	number | null	-1176
📊 priceChangePercent	number | null	-1.46
🔺 highPrice24h	number | null	81313.9
🔻 lowPrice24h	number | null	78771.9
🟦 bidPrice	number | null	79111.8
🟧 askPrice	number | null	79111.9
↔️ spreadAbs	number | null	0.1
🎯 spreadBps	number | null	0.0126
📉 volume24h	number | null	2111.0628860570073
💵 quoteVolume24h	number | null	169293542.1792166
💸 takerFeeRate	number | null	0.001
💸 makerFeeRate	number | null	0.001
🧮 takerCoefficient	number | null	1
🧮 makerCoefficient	number | null	1
🕓 tickerTime	ISO 8601 | null	"2026-05-13T08:36:42.000Z"
🕒 scrapedAt	ISO 8601	"2026-05-13T08:37:00.000Z"

📦 Sample records

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✨ Why choose this Actor

	Capability
🌐	Full spot catalog. 1,000+ live trading pairs across 9 quote currencies in one run.
💸	Per-pair fee rates. Taker and maker fees and coefficients on every record. Rare in public ticker feeds.
🔖	Clean baseAsset and quoteAsset. Parsed from the dashed KuCoin symbol, never a guess.
📊	Server-side sorting. Quote volume, base volume, change percent, last price, or symbol order applied before pagination.
⚡	Fast. 10 tickers in under 5 seconds, full catalog in under a minute.
🎯	Computed spreads. Absolute spread and basis-point spread calculated per record.
🚫	No API key. Works against public KuCoin endpoints. No login required.

📊 Capturing the live fee rate alongside each ticker is the difference between a backtest that looks good on paper and one that survives live execution.

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📈 How it compares to alternatives

Approach	Cost	Coverage	Refresh	Filters	Setup
⭐ KuCoin Tickers Scraper (this Actor)	$5 free credit, then pay-per-use	1,000+ pairs	Live per run	quote asset, sort	⚡ 2 min
Direct KuCoin REST polling	Free, with rate limits	Same	Real-time	Build your own	🐢 Hours
Paid market data APIs	$99+/month	Multi-exchange	Streaming	Many	⏳ Hours
CSV exports from analytics sites	Free, often stale	Subset	Hourly or daily	None	🕒 Variable

Pick this Actor when you want quote-asset filtering, native fee fields, and zero pipeline maintenance.

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🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the KuCoin Crypto Tickers Scraper page on the Apify Store.
3. 🎯 Set input. Pick a quote asset (or leave empty for all pairs), choose a sort order, and set maxItems.
4. 🚀 Run it. Click Start and let the Actor collect your data.
5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.

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💼 Business use cases

🤖 Trading bots and arbitrage Cross-exchange spread monitoring against Binance, Bybit, OKX Triangular arbitrage scans across USDT, BTC, ETH, KCS quotes Fee-aware net-PnL routing Latency-tolerant pricing for swing strategies	📊 Analytics and dashboards Volume leaderboards and top-mover panels Spread monitoring with basis-point precision Historical snapshots stitched from scheduled runs Treasury and portfolio rebalancing inputs
🪙 Listings and trackers New-listing alerts when symbols appear on KuCoin Native KCS-quoted pair coverage Long-tail altcoin discovery via 24h volume sort Delisting detection by diffing successive runs	🧪 Research and journalism Quant research datasets for backtests Stories on fee structures and promotional zero-fee pairs Stablecoin depeg or spread anomalies Educational material with real exchange data

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🔌 Automating KuCoin Tickers Scraper

Control the scraper programmatically for scheduled runs and pipeline integrations:

• 🟢 Node.js. Install the apify-client NPM package.
• 🐍 Python. Use the apify-client PyPI package.
• 📚 See the Apify API documentation for full details.

The Apify Schedules feature lets you trigger this Actor on any cron interval. Every minute, hourly, or daily refreshes keep downstream price tables in sync automatically.

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🌟 Beyond business use cases

Live ticker data powers more than trading desks. The same structured records support research, education, civic projects, and personal initiatives.

🎓 Research and academia Microstructure papers on bid/ask spread dynamics Fee-rate impact studies across quote markets Reproducible datasets with versioned scheduled pulls Coursework on time-series and volatility modeling	🎨 Personal and creative Hobby trading dashboards and portfolio trackers Side projects that ping Telegram or Discord on price moves Visualizations and infographics for crypto blogs Toy datasets for learning pandas, DuckDB, or Polars
🤝 Non-profit and civic Transparency reports on exchange fees and liquidity Investigative journalism on volume reporting Educational materials for financial-literacy programs Open datasets for academic crypto research consortia	🧪 Experimentation Train classifiers on price-action regimes Prototype agent pipelines that watch spreads Backtest mean-reversion ideas with real ticks Test alert systems against historical snapshots

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🤖 Ask an AI assistant about this scraper

Open a ready-to-send prompt about this ParseForge actor in the AI of your choice:

• 💬 ChatGPT
• 🧠 Claude
• 🔍 Perplexity
• 🅒 Copilot

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❓ Frequently Asked Questions

🧩 How does it work?

The Actor calls the public KuCoin market/allTickers endpoint, applies your quote-asset and sort filters in memory, and emits one clean record per pair. No browser automation, no captchas, no credentials.

📏 How fresh is the data?

Every run hits the live allTickers endpoint, so the dataset reflects the spot market at the moment of the run. The tickerTime field shows the exact server time of the snapshot.

💸 Why include fee rates?

KuCoin is one of the few major exchanges that exposes per-pair taker and maker fee rates through the public ticker endpoint. Capturing them on every record is essential for accurate net-PnL backtests and any fee-aware routing logic.

🔁 How often is the dataset refreshed?

The Actor refreshes on every run. Schedule it on any cron interval, from every minute to daily.

🪙 Does it include new listings?

Yes. The allTickers endpoint returns every active pair, so freshly listed symbols appear automatically.

⏰ Can I schedule regular runs?

Yes. Use Apify Schedules to run this Actor on any cron interval and keep a downstream database in sync.

⚖️ Is this data legal to use?

KuCoin publishes ticker data on public endpoints intended for application access. Review the venue terms for your specific use case, but raw ticker snapshots are generally considered public market data.

💼 Can I use this data commercially?

Yes. Raw market data is widely used in commercial products. You are responsible for complying with venue terms and any downstream regulatory requirements.

💳 Do I need a paid Apify plan to use this Actor?

No. The free Apify plan is enough for testing and small runs (10 records per run). A paid plan lifts the limit and gives you access to scheduling, higher concurrency, and larger datasets.

🔁 What happens if a run fails or gets interrupted?

Apify automatically retries transient errors. If a run still fails, you can inspect the log in the Runs tab, fix the input, and re-run. Partial datasets from failed runs are preserved.

🆘 What if I need help?

Our support team is here to help. Contact us through the Apify platform or use the Tally form linked below.

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🔌 Integrate with any app

KuCoin Tickers Scraper connects to any cloud service via Apify integrations:

• Make - Automate multi-step workflows
• Zapier - Connect with 5,000+ apps
• Slack - Get price alerts in your channels
• Airbyte - Pipe ticker data into your warehouse
• GitHub - Trigger runs from commits and releases
• Google Drive - Export datasets straight to Sheets

You can also use webhooks to trigger downstream actions when a run finishes. Push fresh prices into your trading backend, or alert your team in Slack.

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🔗 Recommended Actors

• 📊 Binance Crypto Prices Scraper - Spot and futures prices from the largest centralized exchange
• 🟣 Bybit Tickers Scraper - Spot and derivatives tickers from Bybit
• 🐙 Kraken Crypto Exchange Scraper - Spot pairs and OHLC from Kraken
• 🦎 CoinGecko Cryptocurrency Scraper - Cross-exchange aggregated prices, market cap, and ranks
• 🐝 CoinPaprika Crypto Tickers Scraper - Multi-exchange ticker rollups

💡 Pro Tip: browse the complete ParseForge collection for more exchange and market-data scrapers.

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🆘 Need Help? Open our contact form to request a new scraper, propose a custom data project, or report an issue.

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⚠️ Disclaimer: this Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by KuCoin or any of its affiliates. All trademarks mentioned are the property of their respective owners. Only publicly available market data is collected.