🪙 Bitget Crypto Tickers Scraper

🚀 Export every Bitget spot ticker in seconds. Filter 600+ trading pairs by quote asset, sort by 24h volume or price action, and get clean price, bid/ask, and USDT-denominated volume fields. No API key, no registration, no rate-limit headaches.

🕒 Last updated: 2026-05-13 · 📊 21 fields per record · 🪙 600+ pairs · 💱 6 quote currencies

The Bitget Crypto Tickers Scraper queries the official Bitget v2 public market endpoints and returns 21 fields per record, including last price, 24h and UTC-rollover percent change, best bid and ask with sizes, 24h high and low, base, quote, and USDT-denominated volume, computed spread in basis points, and ISO timestamps. The actor joins the live ticker feed with the spot symbol catalog so every record carries clean baseAsset and quoteAsset values.

Bitget supports pairs against USDT, USDC, BTC, ETH, EUR, and BRL, 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, copy-trading platforms, crypto analysts, arbitrage bots, portfolio dashboards, fintech apps, researchers, journalists	Price snapshots, USDT-volume leaderboards, UTC-rollover monitoring, arbitrage detection, listing trackers, BRL and EUR pair coverage

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📋 What the Bitget Tickers Scraper does

Three filtering and sorting workflows in a single run:

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

Each record includes symbol, baseAsset, quoteAsset, lastPrice, openPriceUtc, priceChangePercent24h, priceChangePercentUtc, 24h high and low, bidPrice and bidSize, askPrice and askSize, computed spreadAbs and spreadBps, volume24h, quoteVolume24h, usdtVolume24h, tickerTime, and a scrapedAt timestamp.

💡 Why it matters: Bitget is unusual in publishing two percent-change figures - a rolling 24h figure and a UTC-rollover figure - on the same endpoint. Capturing both lets you reconcile daily PnL tables that use either convention without re-running the scraper.

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🎬 Full Demo

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

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⚙️ Input

Input	Type	Default	Behavior
quoteAsset	string (enum)	""	One of USDT, USDC, BTC, ETH, EUR, BRL. 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 BRL-quoted pair sorted by 24h percent change.

{
    "maxItems": 100,
    "quoteAsset": "BRL",
    "sortBy": "changePercent"
}

⚠️ Good to Know: Bitget exposes usdtVolume24h alongside the native quote volume, which makes cross-quote leaderboards much cleaner. Use it when you want a single comparable volume figure for BTC-quoted, ETH-quoted, and stable-quoted markets at once.

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📊 Output

Each ticker record contains 21 fields. Download the dataset as CSV, Excel, JSON, or XML.

🧾 Schema

Field	Type	Example
🆔 symbol	string	"BTCUSDT"
🔗 url	string	"https://www.bitget.com/spot/BTCUSDT"
🪙 baseAsset	string | null	"BTC"
💱 quoteAsset	string | null	"USDT"
💰 lastPrice	number | null	79120.01
🟢 openPriceUtc	number | null	80502.45
📊 priceChangePercent24h	number | null	-1.486
📊 priceChangePercentUtc	number | null	-1.717
🔺 highPrice24h	number | null	81320
🔻 lowPrice24h	number | null	78766.71
🟦 bidPrice	number | null	79120
📦 bidSize	number | null	1.955276
🟧 askPrice	number | null	79120.01
📦 askSize	number | null	2.513006
↔️ spreadAbs	number | null	0.01
🎯 spreadBps	number | null	0.0013
📉 volume24h	number | null	3737.656104
💵 quoteVolume24h	number | null	300592091.87277
💵 usdtVolume24h	number | null	300592091.87276916
🕓 tickerTime	ISO 8601 | null	"2026-05-13T08:37:01.327Z"
🕒 scrapedAt	ISO 8601	"2026-05-13T08:37:02.000Z"

📦 Sample records

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✨ Why choose this Actor

	Capability
🌐	Full spot catalog. 600+ live trading pairs across 6 quote currencies in one run.
💵	USDT-denominated volume. Apples-to-apples leaderboards across BTC, ETH, EUR, and BRL pairs without manual conversion.
📊	Dual percent-change fields. Rolling 24h and UTC-rollover figures on every record.
🔖	Clean baseAsset and quoteAsset. Joined from Bitget spot symbol info, never guessed.
⚡	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 Bitget v2 endpoints. No login required.

📊 The dual UTC and rolling percent-change fields are the difference between a daily P&L table that ties out and one that drifts every time you change reporting conventions.

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📈 How it compares to alternatives

Approach	Cost	Coverage	Refresh	Filters	Setup
⭐ Bitget Tickers Scraper (this Actor)	$5 free credit, then pay-per-use	600+ pairs	Live per run	quote asset, sort	⚡ 2 min
Direct Bitget 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, dual percent-change 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 Bitget 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 copy-trading Cross-exchange spread monitoring against Binance, Bybit, OKX Triangular arbitrage scans across USDT, BTC, ETH quotes Copy-trading platforms that mirror Bitget's flagship venue Latency-tolerant pricing for swing strategies	📊 Analytics and dashboards USDT-volume leaderboards across all quote markets UTC vs rolling 24h comparison tables Historical snapshots stitched from scheduled runs Treasury and portfolio rebalancing inputs
🌎 Regional and fiat pairs BRL pair coverage for Brazilian markets EUR pair coverage for European users Stablecoin pair coverage across USDT and USDC Long-tail altcoin discovery via 24h volume sort	🧪 Research and journalism Quant research datasets for backtests Stories on UTC vs local-day reporting conventions Stablecoin depeg or spread anomalies Educational material with real exchange data

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🔌 Automating Bitget 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 UTC-rollover vs rolling-window comparison studies 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 liquidity Investigative journalism on regional fiat pairs 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 Bitget v2 spot/public/symbols and spot/market/tickers endpoints, joins symbol metadata, applies your filters server-side, and emits one clean record per pair. No browser automation, no captchas, no credentials.

📏 How fresh is the data?

Every run hits the live tickers 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 are there two percent-change fields?

Bitget publishes both a rolling 24h change and a UTC-rollover change on the same endpoint. The Actor preserves both so you can reconcile dashboards that use either convention without re-running.

💵 What is usdtVolume24h?

A USDT-denominated volume rollup, useful for apples-to-apples leaderboards across pairs that don't share a quote currency. For example, BTC-quoted pairs and BRL-quoted pairs both report a comparable USDT figure.

🔁 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 Actor pulls the live spot symbol catalog on every run, so freshly listed pairs 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?

Bitget 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 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

Bitget 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 Bitget or any of its affiliates. All trademarks mentioned are the property of their respective owners. Only publicly available market data is collected.