Huobi (HTX) Crypto Tickers Scraper

Huobi (HTX) Crypto Tickers Scraper

Scrape live crypto tickers from Huobi (HTX) spot markets, filtered by quote asset and sorted by volume or price change. Every ticker includes last price, 24h volume, and percent change. No API key required. Export to CSV, JSON, Excel, or XML.

Huobi (HTX) is a top-tier crypto exchange, but its official API requires account creation, key management, and rate limits. This scraper reads the public market ticker endpoint directly, letting you pull live price, volume, and 24h change data for any spot trading pair. Filter by quote asset like USDT or BTC, sort by volume or price movement, and collect up to a million tickers in one run.

Who uses it	What they scrape Huobi (HTX) for
Crypto traders	Scanning the market for the biggest 24h movers before placing a trade.
Quantitative analysts	Pulling a full snapshot of Huobi spot pairs for volatility and volume models.
Portfolio trackers	Updating the latest prices and 24h changes for assets held on Huobi.
Market researchers	Comparing Huobi (HTX) trading volumes and pair availability against other exchanges.

What it does

This Actor collects live Huobi (HTX) spot market tickers and returns each one as a flat row with last price, 24h base and quote volume, and percent change.

• 📊 Quote asset filter: narrow results to USDT, USDC, BTC, ETH, HUSD, TRX, or HT pairs only.
• 📈 Flexible sorting: order tickers by quote volume, base volume, 24h percent change, last price, or symbol.
• 🔢 Result cap: set a maximum number of tickers to collect, from 1 up to 1,000,000 per run.
• 📁 Multi-format export: download your dataset as CSV, JSON, Excel, or XML directly from Apify.

Results export to CSV, JSON, Excel, or XML, or straight from the API.

What you can do with Huobi (HTX) data

📈 Monitor top movers.

A day trader runs the scraper every 15 minutes, sorted by 24h percent change, to spot the fastest-moving USDT pairs on Huobi (HTX) before entering a position.

📊 Build a market screener.

A quant pulls all BTC and ETH quote pairs daily, sorted by quote volume, to feed a custom screener that ranks pairs by liquidity and volatility.

💰 Track portfolio prices.

A portfolio manager filters by USDT and collects the last price for every held asset to update a Net Asset Value dashboard in Google Sheets.

🔍 Compare exchange coverage.

A researcher collects the full Huobi (HTX) ticker list weekly and compares pair counts and volumes against Binance and OKX to map market fragmentation.

Why choose this scraper

	What you get
No API key	Reads the public Huobi (HTX) market endpoint with zero authentication.
Live data	Every ticker is fetched fresh on each run, not from a stale cache.
Fixed schema	All tickers arrive in one consistent flat structure for easy analysis.
High throughput	Collect up to a million tickers in a single run with no per-request throttling.

How it compares

This Actor competes directly with the other Huobi (HTX) ticker scraper on Apify, offering comparable core data with a different filtering and sorting approach.

Feature	ParseForge	HTX (Huobi) Crypto Ticker Scraper - Prices, Volume & 24h Change
Quote asset filter	Yes (USDT, USDC, BTC, ETH, HUSD, TRX, HT)	Not listed
Sort by volume or change	Yes (5 sort options)	Not listed
Maximum tickers limit	Yes (1 to 1,000,000)	Not listed
No API key required	Yes	Yes
CSV, JSON, Excel, XML export	Yes	Yes

Configure the run

Drive the Actor by choosing a quote asset filter and a sort order, then set a maximum number of tickers to collect. Filters apply before results are written to your dataset. The Input tab lists every parameter.

A first run with the defaults:

{
  "maxItems": 10,
  "sortBy": "quoteVolume"
}

A larger pull:

{
  "maxItems": 200,
  "sortBy": "quoteVolume"
}

Pricing

Pay-per-result: $0.031 per result collected. You pay only for the results written to your dataset.

Results collected	Approximate cost
100 results	$3.10
1,000 results	$31.00
10,000 results	$310.00

New Apify accounts start with $5 in free credit.

Free users

Free-plan runs return up to 10 results as a preview. Upgrade your Apify plan to collect up to 1,000,000 results per run.

Run it

1. Create a free Apify account with $5 in credit.
2. Open the Huobi (HTX) Crypto Tickers Scraper.
3. Set your inputs and any filters, then click Start.
4. Export the results as CSV, Excel, JSON, or XML from the Dataset tab.

Run it programmatically through the Apify API (run-sync-get-dataset-items) or the ApifyClient for JavaScript and Python.

Use with AI agents (MCP)

Give an AI agent live access to Huobi (HTX) through the Model Context Protocol. Add the Actor to Claude, Cursor, or any MCP client:

$claude mcp add --transport http apify "https://mcp.apify.com?tools=parseforge/huobi-tickers-scraper"

Then prompt it in plain language to run the scraper and read back the results.

Troubleshooting

Why am I getting fewer tickers than my maxItems setting?

The quote asset filter may be limiting the available pairs. Try setting the filter to 'All pairs' to see the full spot market. Huobi (HTX) lists fewer pairs for some quote assets like HUSD or TRX.

Why are some tickers showing zero volume?

Some trading pairs on Huobi (HTX) have low or no trading activity in the last 24 hours. This is normal for newly listed or illiquid pairs. Sort by volume to push these to the bottom.

The scraper returns an error or empty dataset.

Huobi (HTX) may have changed their public endpoint or be experiencing downtime. Check the Actor's run log for the specific HTTP status code. A 503 or timeout usually means temporary exchange unavailability; retry in a few minutes.

Can I get the bid and ask prices?

This Actor scrapes the 24h ticker summary endpoint, which provides last price, volume, and percent change. It does not include order book depth, bid, or ask. For that, you would need a different endpoint or Actor.

FAQ

Question	Answer
Do I need a Huobi (HTX) API key to use this scraper?	No. This Actor reads the public market ticker endpoint, which requires no authentication, no account, and no API key.
What data does each ticker row contain?	Each row includes the trading pair symbol, last price, 24h base volume, 24h quote volume, and 24h percent change. The exact field list is shown in the sample output on the Actor's page.
Can I filter by a specific quote asset like USDT?	Yes. Use the Quote Asset Filter input to select USDT, USDC, BTC, ETH, HUSD, TRX, or HT. Leave it on 'All pairs' to get every spot ticker.
How many tickers can I collect in one run?	You can set the maximum anywhere from 1 to 1,000,000. The Actor stops after collecting that many tickers, respecting the sort order you chose.
What sorting options are available?	You can sort by 24h quote volume, 24h base volume, 24h percent change, last price, or symbol alphabetically. All sorts are descending except symbol, which is A to Z.
How fresh is the data?	Every run fetches live data directly from the Huobi (HTX) public API at that moment. There is no caching, so you always get the current ticker state.
Can I schedule this scraper to run automatically?	Yes. Apify supports scheduled runs. You can set this Actor to run every minute, every hour, or on any cron schedule you need.
What export formats are supported?	Your dataset can be exported as CSV, JSON, Excel, or XML from the Apify platform, or accessed via the Apify API.
Does this scraper handle Huobi (HTX) futures or margin pairs?	No. This Actor scrapes only the spot market tickers. Futures, margin, and other derivative markets are not included.
Is this the same exchange as HTX?	Yes. Huobi rebranded to HTX, but the public market endpoints and trading pairs remain the same. This scraper works for both the Huobi and HTX names.

Related actors

Browse the full ParseForge collection for more scrapers.

🆘 Need help? Email parseforge@protonmail.com with your run ID, your input, and what you expected.

⚠️ Disclaimer. This Actor is unofficial and is not affiliated with, endorsed by, or sponsored by Huobi Global Limited. It collects only publicly available data. You are responsible for using the collected data in compliance with the source's terms of service and applicable data-protection laws, including GDPR, CCPA, and PIPL. Do not use it to collect personal data unlawfully.