📈 Coinbase Order Book, Candles & Trades Scraper

🚀 Pull live Coinbase market depth, OHLCV charts, and tick-level trades in seconds. Filter by pair, sort by volume, choose your order book level. No API key, no registration, no manual CSV wrangling.

🕒 Last updated: 2026-05-16 · 📊 36 fields per record · 818 trading pairs · L1/L2/L3 order book · 6 candle intervals

Coinbase Exchange is the largest US-regulated crypto venue, and the raw market data behind every pair is the substrate of arbitrage bots, portfolio dashboards, and quantitative research. This scraper exposes that substrate as one unified Apify dataset. Every record holds the live ticker, bid and ask depth up to 1,000 levels, OHLCV candles across six timeframes, and the most recent 100 trades. You point it at any of the 818 trading pairs the exchange currently lists, and the actor returns a fully populated record in a few seconds. No keys, no rate limits to manage, no scraping etiquette to relearn.

The integration story is simple. Schedule a run every minute and you have a low-latency price feed for your trading bot. Schedule it hourly and you have an OHLCV warehouse you can backfill into BigQuery or Postgres. Run it on demand to power an arbitrage detector that compares Coinbase against Binance, Kraken, or any other venue you already scrape with ParseForge. The output is flat enough for spreadsheets and structured enough for time-series databases. Pair it with a notebook and you have a research lab. Pair it with Zapier and you have a price alert system. Pair it with your own LLM agent and you have a self-driving market scout.

🎯 Target audience	💡 Primary use cases
Quantitative traders and arbitrage operators	Detect cross-exchange price gaps in real time
Crypto trading bot developers	Stream order book depth into execution engines
DeFi and CeFi portfolio trackers	Refresh asset valuations across 800+ pairs
Market data engineers and analysts	Backfill OHLCV warehouses and tick-level archives
Compliance and treasury teams	Audit fills and price marks against exchange truth

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📋 What the Coinbase Order Book, Candles & Trades Scraper does

• 📡 Live ticker capture. Best bid, best ask, last trade, 24h open, high, low, volume, and 30-day volume in a single call.
• 🪜 Order book depth at three levels. L1 best bid/ask, L2 top-of-book aggregated, or L3 full non-aggregated book.
• 🕯️ OHLCV candles across six intervals. 1-minute, 5-minute, 15-minute, 1-hour, 6-hour, or daily buckets.
• 🔁 Recent trades with side and size. Up to 100 most recent executions per pair with sub-millisecond timestamps.
• 🎛️ Smart filters and sort. Restrict by quote currency, status, or explicit pair list. Sort by 24h volume to grab the top movers.
• 🧾 One flat record per pair. Ticker, book, candles, and trades land on the same row, ready for SQL or pandas.

Every record contains the pair identity (base, quote, display name, status), the live ticker block, derived spread and percentage change, the order book sequence and timestamp, the candle array, the recent trades array, and a precise scrape timestamp. The schema is stable across runs, so you can append snapshots safely.

💡 Why it matters: Coinbase processes billions of dollars in daily volume, and small spread shifts between Coinbase and other venues create arbitrage windows that close in seconds. Owning your own price feed instead of renting one from a paid market data vendor means lower cost, no per-call quotas, and audit-friendly raw data you control.

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🎬 Full Demo

🚧 Coming soon: a 3-minute walkthrough of the input form, a sample run, and an arbitrage notebook that consumes the dataset.

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⚙️ Input

Field	Type	Description	Default
productIds	array of enum	Specific Coinbase Exchange pairs to scrape. Leave empty to pull from the full universe.	["BTC-USD", "ETH-USD", "SOL-USD", "XRP-USD", "DOGE-USD"]
maxItems	integer	Cap on the number of records returned. Free users are limited to 10.	10
quoteCurrencyFilter	enum	Only return pairs quoted in this asset (USD, USDC, USDT, EUR, GBP, BTC, ETH, etc.). Ignored when productIds is set.	Any
statusFilter	enum	Filter by trading status: online or delisted.	online
sortBy	enum	Order the dataset before applying maxItems: product ID, 24h volume, or last price.	volume24h
includeTicker	boolean	Capture live ticker and 24h stats.	true
includeOrderBook	boolean	Capture the order book snapshot.	true
orderBookLevel	enum	Order book detail: 1 (best bid/ask), 2 (top 50 aggregated), or 3 (full non-aggregated book).	2
orderBookMaxLevels	integer	Maximum bid/ask rows per side. 0 means keep everything Coinbase returned.	25
includeCandles	boolean	Capture historical OHLCV candles.	true
candleGranularity	enum	Candle interval in seconds: 60, 300, 900, 3600, 21600, or 86400.	3600
candleStart	string	Optional ISO 8601 start timestamp for the candle range.	(latest 300)
candleEnd	string	Optional ISO 8601 end timestamp for the candle range.	(latest 300)
includeTrades	boolean	Capture the most recent trades on the pair.	true
tradesLimit	integer	Number of recent trades to capture (1 to 100).	50

Example: top 25 USD pairs by 24h volume with L2 depth and 1-hour candles.

{
    "maxItems": 25,
    "quoteCurrencyFilter": "USD",
    "statusFilter": "online",
    "sortBy": "volume24h",
    "includeTicker": true,
    "includeOrderBook": true,
    "orderBookLevel": "2",
    "orderBookMaxLevels": 25,
    "includeCandles": true,
    "candleGranularity": "3600",
    "includeTrades": true,
    "tradesLimit": 50
}

Example: deep BTC-USD snapshot for an arbitrage detector (full L3 book, 1-minute candles, 100 trades).

{
    "productIds": ["BTC-USD"],
    "includeOrderBook": true,
    "orderBookLevel": "3",
    "orderBookMaxLevels": 0,
    "includeCandles": true,
    "candleGranularity": "60",
    "includeTrades": true,
    "tradesLimit": 100
}

⚠️ Good to Know: Coinbase rate-limits public endpoints. The actor handles 429 and 503 responses with exponential backoff, so feel free to fan out across hundreds of pairs. Candle queries return at most 300 buckets per pair per call, which is a Coinbase API constraint, not an actor limitation.

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📊 Output

Every record is one flat object combining identity, ticker, order book, candles, and recent trades.

🧾 Schema

Field	Type	Example
🆔 productId	string	BTC-USD
🔗 url	string	https://exchange.coinbase.com/trade/BTC-USD
🏷️ displayName	string	BTC/USD
🪙 baseCurrency	string	BTC
💵 quoteCurrency	string	USD
🟢 status	string	online
🚫 tradingDisabled	boolean	false
💰 priceLast	number	79134.62
📥 bid	number	79137.97
📤 ask	number	79137.98
↔️ spread	number	0.01
📐 spreadPercent	number	0.000013
🌅 open24h	number	81115.99
🔺 high24h	number	81341.98
🔻 low24h	number	78591.99
📊 volume24h	number	6824.59
📈 volume30day	number	208855.98
↕️ priceChange24h	number	-1981.37
📉 priceChangePercent24h	number	-2.44
🧾 lastTradeId	integer	1019129105
📦 lastTradeSize	number	0.00000047
⏱️ lastTradeTime	string	2026-05-16T01:59:06.996Z
➕ baseIncrement	number	0.00000001
➗ quoteIncrement	number	0.01
💼 minMarketFunds	number	1
🪜 orderBookLevel	integer	2
🔢 orderBookSequence	integer	128270263663
🕰️ orderBookTime	string	2026-05-16T01:59:06.846Z
🟩 bids	array	[{ "price": 79137.97, "size": 0.0002, "numOrders": 1 }, ...]
🟥 asks	array	[{ "price": 79137.98, "size": 0.5977, "numOrders": 6 }, ...]
⏲️ candleGranularitySeconds	integer	3600
🕯️ candles	array	[{ "time": "2026-05-16T01:00:00Z", "open": 79072.88, "high": 79112.81, ... }]
🔁 recentTrades	array	[{ "tradeId": 1019129110, "price": 79137.35, "side": "sell", ... }]
🗓️ scrapedAt	string	2026-05-16T01:59:08.681Z
❗ error	string	(populated only on failure)

📦 Sample records

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✨ Why choose this Actor

Capability	What you get
🪜	Three book levels in one input. Switch between L1, L2, and L3 without writing a separate workflow per use case.
🕯️	Six candle intervals. From 1-minute scalping to 1-day macro analysis, picked from a dropdown.
🔁	Trades, ticker, depth, candles in one record. No joining four CSVs after the fact.
🌐	Every Coinbase pair in scope. 818 trading pairs covered, USD, EUR, GBP, BTC, ETH, stablecoins, the lot.
🚦	Built-in backoff. Handles 429 and 503 from Coinbase gracefully so big runs survive rate-limit spikes.
🧮	Derived metrics included. Spread, spread percentage, 24h change, percentage change, ready to chart.
🚀	No API key. Public Coinbase endpoints only, so you ship a price feed without keys, tokens, or signing logic.

📊 A single run on the top 25 USD pairs returns a fully populated record in under 30 seconds, including L2 depth, 300 hourly candles, and 50 recent trades per pair.

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📈 How it compares to alternatives

Approach	Cost	Coverage	Refresh	Filters	Setup
⭐ Coinbase Order Book, Candles & Trades Scraper (this Actor)	Pay-per-run	818 pairs, L1/L2/L3	On demand or scheduled	Pair, quote, status, sort	Click run
Paid live market data APIs	High monthly subscription	Multi-exchange	Streaming	Limited filtering	API key, signing
Official documentation snippets	Free	Single pair, no depth	Manual	None	Read and copy
Legacy community dumps	Free	Stale	Quarterly at best	None	Manual joins
Self-built websocket client	Engineering hours	Whatever you build	Real time	Whatever you build	Significant engineering

If you want a turnkey snapshot pipeline without renting bandwidth from a paid feed or maintaining a websocket service, this actor is the shortest path.

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🚀 How to use

1. 📝 Sign up for Apify. Create a free account at console.apify.com/sign-up?fpr=vmoqkp.
2. 🎯 Pick your pairs. Add specific product IDs (BTC-USD, ETH-USD, ...) or leave the field empty and let the filters do the work.
3. 🎛️ Choose your modules. Toggle ticker, order book, candles, and trades. Pick the book level and candle interval that match your use case.
4. ▶️ Run. Click Start and watch the dataset fill.
5. 📤 Export. Pull JSON, CSV, or XLSX, or wire the dataset into Make, Zapier, BigQuery, Postgres, or your own webhook.

⏱️ Total time: Under two minutes from sign-up to first dataset row.

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💼 Business use cases

🤖 Trading bot operators Stream order book depth into execution engines Validate price marks across multiple exchanges Backtest strategies against high-resolution candles Detect liquidity gaps and quote spread anomalies	📈 Quantitative analysts Build factor models with consistent OHLCV history Measure slippage with full L3 book reconstructions Audit fills against exchange-truth recent trades Compare cross-pair volatility on demand
💼 Portfolio and treasury teams Refresh mark-to-market across 800+ pairs Track stablecoin pegs against USD and EUR pairs Generate end-of-day NAV inputs for crypto funds Trigger rebalances on spread thresholds	🛠️ Market data engineers Backfill OHLCV warehouses to BigQuery or Postgres Build a price alert layer for consumer apps Feed dashboards in Grafana, Looker, or Metabase Maintain a Coinbase mirror for compliance audits

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🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

🎓 Research and academia Empirical datasets for papers, thesis work, and coursework Longitudinal studies tracking changes across snapshots Reproducible research with cited, versioned data pulls Classroom exercises on data analysis and ethical scraping	🎨 Personal and creative Side projects, portfolio demos, and indie app launches Data visualizations, dashboards, and infographics Content research for bloggers, YouTubers, and podcasters Hobbyist collections and personal trackers
🤝 Non-profit and civic Transparency reporting and accountability projects Advocacy campaigns backed by public-interest data Community-run databases for local issues Investigative journalism on public records	🧪 Experimentation Prototype AI and machine-learning pipelines with real data Validate product-market hypotheses before engineering spend Train small domain-specific models on niche corpora Test dashboard concepts with live input

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🔌 Automating Coinbase Order Book, Candles & Trades Scraper

Wire this actor into the rest of your stack with a few lines of code or a saved schedule.

• 🟢 Node.js client for calling the actor from JavaScript or TypeScript projects.
• 🐍 Python client for notebooks, FastAPI endpoints, or Airflow DAGs.
• 📚 Apify API reference for raw REST integration in any language.

Schedules let you turn the actor into a low-cost market data subscription. Run it every minute for live arbitrage workflows, every hour for OHLCV warehousing, or daily for portfolio mark-to-market. The dataset chains naturally with downstream actors and webhooks, so you can branch on a spread threshold or post a Slack alert when a pair moves more than a configured percentage.

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❓ Frequently Asked Questions

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🔌 Integrate with any app

• Zapier - route every new dataset row to spreadsheets, Slack, or your CRM.
• Make - chain Apify runs into visual automations with conditional logic.
• n8n - self-hosted workflows for full data ownership.
• Google Sheets - drop CSV exports into shared sheets for analyst review.
• Airtable - structured base for cross-asset trackers.
• Slack - push spread alerts and high-volume movers straight into channels.

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🔗 Recommended Actors

• 🦎 CoinGecko Scraper - aggregated crypto prices, market caps, and rankings across exchanges.
• 🪙 Coinlore Crypto Scraper - alternative cross-exchange price aggregator with broad coin coverage.
• 📈 Coinbase Exchange Products Scraper - lighter sibling: product catalog plus ticker plus 24h stats only.
• 💹 Yahoo Finance Scraper - traditional market data covering equities, ETFs, FX, and crypto tickers.
• 📊 Alpha Vantage Scraper - unified market data pull covering quotes, fundamentals, FX, and crypto.

💡 Pro Tip: browse the complete ParseForge collection for more market data and research actors.

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🆘 Need Help? Open our contact form and we will respond within one business day.

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⚠️ Disclaimer: This actor extracts publicly available market data from Coinbase Exchange for informational purposes only. None of the data returned constitutes financial advice. You are responsible for ensuring your use complies with Coinbase's terms of service, applicable securities regulations, and any tax obligations in your jurisdiction.