🪙 MEXC Crypto Tickers Scraper

🚀 Export every MEXC spot ticker in seconds. Filter 2,400+ trading pairs by quote asset, sort by 24h volume or price action, and get clean price, bid/ask, and volume fields. No API key, no registration, no rate-limit headaches.

🕒 Last updated: 2026-05-13 · 📊 23 fields per record · 🪙 2,400+ pairs · 💱 7 quote currencies

The MEXC Crypto Tickers Scraper queries the official MEXC public market data endpoints and returns 23 fields per record, including last price, bid/ask quotes, 24h high and low, base and quote volume, computed spread in basis points, and ISO timestamps. The actor joins the live ticker feed with the spot exchange info catalog so every record carries clean baseAsset and quoteAsset values rather than a single concatenated symbol string.

MEXC is one of the largest centralized exchanges by listed pair count, and this Actor covers the full spot catalog across USDT, USDC, BTC, ETH, EUR, TUSD, and FDUSD quote markets. Results come back ready to download as CSV, Excel, JSON, or XML in under a minute. Filtering and sorting run server-side, so you skip the rate-limit dance entirely.

🎯 Target Audience	💡 Primary Use Cases
Quant teams, crypto analysts, arbitrage bots, market-making desks, portfolio dashboards, fintech apps, researchers, journalists	Price snapshots, volume leaderboards, arbitrage detection, spread monitoring, listing trackers, market-cap proxies, training datasets

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📋 What the MEXC Tickers Scraper does

Three filtering and sorting workflows in a single run:

• 🌐 Full-catalog export. Every live spot pair on MEXC in one dataset.
• 💱 Quote-asset filter. Restrict to USDT, USDC, BTC, ETH, EUR, TUSD, or FDUSD 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, prevClosePrice, priceChange, priceChangePercent, 24h high and low, bidPrice and bidQty, askPrice and askQty, computed spreadAbs and spreadBps, volume24h, quoteVolume24h, openTime, closeTime, and a scrapedAt timestamp.

💡 Why it matters: crypto data goes stale fast. Rolling your own poller means handling rate limits, parsing string-typed numerics, splitting concatenated symbols, and refreshing exchange metadata. This Actor handles all of that and ships a clean typed record.

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🎬 Full Demo

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

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⚙️ Input

Input	Type	Default	Behavior
quoteAsset	string (enum)	""	One of USDT, USDC, BTC, ETH, EUR, TUSD, FDUSD. 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, priceChangePercent, lastPrice, symbol.

Example: top 50 USDT pairs by 24h quote volume.

{
    "maxItems": 50,
    "quoteAsset": "USDT",
    "sortBy": "quoteVolume"
}

Example: every BTC-quoted pair sorted by 24h percent change.

{
    "maxItems": 200,
    "quoteAsset": "BTC",
    "sortBy": "priceChangePercent"
}

⚠️ Good to Know: MEXC publishes new listings frequently, so the pair count moves up and down day to day. The Actor pulls the live exchange-info catalog on every run, so freshly listed pairs appear without code changes.

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📊 Output

Each ticker record contains up to 23 fields. Download the dataset as CSV, Excel, JSON, or XML.

🧾 Schema

Field	Type	Example
🆔 symbol	string	"BTCUSDT"
🔗 url	string	"https://www.mexc.com/exchange/BTCUSDT"
🪙 baseAsset	string | null	"BTC"
💱 quoteAsset	string | null	"USDT"
💰 lastPrice	number | null	79123.7
📈 priceChange	number | null	-1176.3
📊 priceChangePercent	number | null	-1.46
🕐 prevClosePrice	number | null	80300
🟢 openPrice	number | null	80300
🔺 highPrice24h	number | null	81325.02
🔻 lowPrice24h	number | null	78760.57
🟦 bidPrice	number | null	79117.49
📦 bidQty	number | null	0.056678
🟧 askPrice	number | null	79117.5
📦 askQty	number | null	0.25222921
↔️ spreadAbs	number | null	0.01
🎯 spreadBps	number | null	0.0013
📉 volume24h	number | null	4048.0944574
💵 quoteVolume24h	number | null	325079955.83
🧮 tradeCount24h	number (optional)	null
🕓 openTime	ISO 8601 | null	"2026-05-13T08:36:42.051Z"
🕔 closeTime	ISO 8601 | null	"2026-05-13T08:36:57.096Z"
🕒 scrapedAt	ISO 8601	"2026-05-13T08:37:00.000Z"

📦 Sample records

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✨ Why choose this Actor

	Capability
🌐	Full spot catalog. 2,400+ live trading pairs across 7 quote currencies in one run.
🔖	Clean baseAsset and quoteAsset. Joined from MEXC exchange info, never guessed from string splitting.
📊	Server-side sorting. Quote volume, base volume, 24h percent change, last price, or symbol order applied before pagination.
⚡	Fast. 10 tickers in under 5 seconds, full catalog in under a minute.
🎯	Computed spreads. Absolute spread and basis-point spread calculated per record.
🔁	Always fresh. Every run hits the live ticker/24hr endpoint. No stale snapshot.
🚫	No API key. Works against the public MEXC endpoints. No login or rate-limit account needed.

📊 Live exchange ticker data is the foundation of every arbitrage scanner, market-cap leaderboard, and on-chain analytics dashboard.

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📈 How it compares to alternatives

Approach	Cost	Coverage	Refresh	Filters	Setup
⭐ MEXC Tickers Scraper (this Actor)	$5 free credit, then pay-per-use	2,400+ pairs	Live per run	quote asset, sort	⚡ 2 min
Direct MEXC 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, server-side sorting, 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 MEXC 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 arbitrage Cross-exchange spread monitoring against Binance, Bybit, OKX Triangular arbitrage scans across USDT, BTC, ETH quotes Liquidity routing for retail order flow Latency-tolerant pricing for swing strategies	📊 Analytics and dashboards Volume leaderboards and top-mover panels Custom market-cap and float screens Historical snapshots stitched from scheduled runs Treasury and portfolio rebalancing inputs
🪙 Listings and trackers New-listing alerts when symbols appear on MEXC Stablecoin pair coverage across USDT, USDC, TUSD, FDUSD Long-tail altcoin discovery via 24h volume sort Delisting detection by diffing successive runs	🧪 Research and journalism Quant research datasets for backtests Stories on volume share between exchanges Stablecoin depeg or spread anomalies Educational material with real exchange data

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🔌 Automating MEXC 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 Market-efficiency tests across quote currencies 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 volume reporting 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 MEXC exchangeInfo and ticker/24hr endpoints, joins symbol metadata, applies your quote-asset and sort 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 ticker endpoint, so the dataset reflects the spot market at the moment of the run. The openTime and closeTime fields on each record indicate the exact window the 24h rollup covers.

🔁 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 exchange info catalog on every run, so freshly listed pairs appear automatically. No code change required.

⏰ 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?

MEXC 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 happens if a run fails or gets interrupted?

Apify automatically retries transient errors. If a run still fails, you can inspect the log in the Runs tab, fix the input, and re-run. Partial datasets from failed runs are preserved.

📐 Why is tradeCount24h sometimes missing?

MEXC does not return a 24h trade count for every pair. The field is included only when the upstream API populates it. Older or low-activity pairs may not have it.

🆘 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

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