🪙 Huobi (HTX) Crypto Tickers Scraper

🚀 Export every Huobi (HTX) spot ticker in seconds. Filter 600+ trading pairs by quote asset, sort by 24h volume, change, or last price, and get clean OHLC, bid/ask, and 24h trade count fields. No API key, no registration, no rate-limit headaches.

The Huobi (HTX) Crypto Tickers Scraper queries the official Huobi public market endpoints and returns 21 fields per record, including last price, 24h open, high and low, base and quote volume, 24h trade count, best bid and ask with sizes, computed spread in basis points, and ISO timestamps. The actor joins the live ticker feed with the symbols catalog so every record carries clean baseAsset and quoteAsset values rather than a single concatenated symbol string.

Huobi was rebranded to HTX and remains one of the longest-running centralized exchanges by listing count, with strong coverage of USDT, USDC, BTC, ETH, HUSD, TRX, and HT pairs. This Actor exports the full spot catalog in one request. Results come back ready to download as CSV, Excel, JSON, or XML.

🎯 Target Audience	💡 Primary Use Cases
Quant teams, crypto analysts, arbitrage bots, market-microstructure researchers, portfolio dashboards, fintech apps, journalists	Price snapshots, volume leaderboards, trade-count proxies, arbitrage detection, HT and HUSD pair coverage, training datasets

📋 What the Huobi (HTX) Tickers Scraper does

Three filtering and sorting workflows in a single run:

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

Each record includes symbol, baseAsset, quoteAsset, lastPrice, openPrice, priceChange, priceChangePercent, 24h high and low, bidPrice and bidSize, askPrice and askSize, computed spreadAbs and spreadBps, volume24h, quoteVolume24h, tradeCount24h, tickerTime, and a scrapedAt timestamp.

💡 Why it matters: the 24h trade count is rare on public ticker feeds and is a strong proxy for genuine retail activity vs synthetic volume. Capturing it on every record lets you spot pairs where reported volume looks suspicious next to a thin trade count.

📊 Data fields

Each record includes: askPrice, askSize, baseAsset, bidPrice, bidSize, highPrice24h, lastPrice, lowPrice24h, openPrice, priceChange, priceChangePercent, quoteAsset, quoteVolume24h, scrapedAt, spreadAbs, spreadBps, symbol, tickerTime, tradeCount24h, url, 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 Huobi (HTX) 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 Huobi, HTX, or any of their 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.

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