🪙 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.

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

📋 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.

📊 Data fields

Each record includes: askPrice, askSize, baseAsset, bidPrice, bidSize, highPrice24h, lastPrice, lowPrice24h, openPriceUtc, priceChangePercent24h, priceChangePercentUtc, quoteAsset, quoteVolume24h, scrapedAt, spreadAbs, spreadBps, symbol, tickerTime, url, usdtVolume24h, volume24h. All 21 field names come from a real production run, so what you see here is what lands in your dataset.

🚀 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.

🔗 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.

⚠️ 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.

🆘 Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.

For faster answers, join our Discord. It's the best place to get support and suggest new actors.