BingX Crypto Ticker Scraper - Prices, Volume & 24h Change avatar

BingX Crypto Ticker Scraper - Prices, Volume & 24h Change

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from $0.50 / 1,000 results

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BingX Crypto Ticker Scraper - Prices, Volume & 24h Change

BingX Crypto Ticker Scraper - Prices, Volume & 24h Change

$0.5/1K 🔥 BingX crypto scraper! Price, 24h volume, high/low & change for 800+ spot pairs. No key. JSON, CSV, Excel or API in seconds. Feed trading bots, alerts & portfolio tools ⚡

Pricing

from $0.50 / 1,000 results

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ninhothedev

ninhothedev

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BingX Crypto Ticker Scraper - Live Prices, 24h Volume & Change (No API Key)

Scrape live BingX spot market data for every trading pair in seconds. This Apify Actor pulls the official public BingX ticker endpoint and returns a clean, flat, ready-to-analyse record for each market: last price, bid, ask, 24h high/low, base volume, quote volume, absolute price change and a normalized 24h percent change.

No API key. No login. No proxy. No BingX account. Just run it and get data.


What this BingX scraper does

  • Fetches the complete BingX spot ticker snapshot (800+ trading pairs) in a single request
  • Returns normalized numeric fields - every price and volume is a real float, not a string
  • Normalizes BingX's "-2.95%" string into a clean numeric change_pct_24h of -2.95
  • Converts closeTime epoch milliseconds into an ISO-8601 UTC timestamp
  • Optional symbol filter: get only USDT markets, only BTC pairs, or one specific pair
  • Sorts results by 24h quote volume so the most liquid markets come first
  • Exports to JSON, CSV, Excel, XML or straight into your own pipeline via the Apify API

Why use it

Crypto data is only useful when it is fast, clean and consistent. Exchange APIs return mixed types, percent signs inside strings, and epoch timestamps that break spreadsheets. This BingX ticker scraper normalizes all of it for you, so your dashboard, trading bot or research notebook can consume the output directly.

Use cases

  • Crypto trading - screen BingX markets for the biggest 24h movers, spread opportunities or breakout candidates before entering a position.
  • Price monitoring - schedule the Actor every few minutes and build a time series of BingX prices, spreads and volumes.
  • Trading bots - feed live BingX prices, bid/ask and liquidity into signal generation, backtests or automated execution logic.
  • Portfolio tracking - value a BingX portfolio in USDT or BTC, track 24h P&L, and reconcile positions across exchanges.

Input

FieldTypeDefaultDescription
modeselecttickersWhat to scrape. tickers returns the 24h ticker snapshot for every BingX spot pair.
symbolFilterstring(empty)Case-insensitive substring filter on the BingX symbol (BASE-QUOTE). e.g. USDT, BTC, SOL-USDT. Empty = all pairs.
maxItemsinteger500Maximum records to save (hard cap 5000). Pairs are sorted by liquidity, so a small limit still returns the top markets.

Example input

{
"mode": "tickers",
"symbolFilter": "USDT",
"maxItems": 500
}

Output

Each dataset item is one BingX trading pair:

{
"symbol": "BTC-USDT",
"last_price": 63278.34,
"open": 65166.49,
"high_24h": 65737.21,
"low_24h": 63066.58,
"bid": 63278.33,
"ask": 63278.34,
"base_volume_24h": 2377.29,
"quote_volume_24h": 153875199.24,
"price_change": -1888.15,
"change_pct_24h": -2.9,
"close_time": "2026-07-28T01:51:03.351000+00:00",
"source": "bingx",
"scraped_at": "2026-07-28T01:51:03.741032+00:00"
}

Field reference

FieldTypeMeaning
symbolstringBingX market symbol, format BASE-QUOTE (e.g. BTC-USDT)
last_pricefloatMost recent traded price
openfloatPrice 24 hours ago
high_24hfloatHighest price in the last 24 hours
low_24hfloatLowest price in the last 24 hours
bidfloatBest bid price on the order book
askfloatBest ask price on the order book
base_volume_24hfloat24h traded volume in the base asset
quote_volume_24hfloat24h traded volume in the quote asset (liquidity proxy)
price_changefloatAbsolute 24h price change
change_pct_24hfloat24h change as a percent, rounded to 2 decimals (-2.9 = -2.9%)
close_timestringTicker window close time, ISO-8601 UTC
sourcestringAlways bingx
scraped_atstringWhen the record was captured, ISO-8601 UTC

All fields are nullable - if BingX omits a value for an illiquid pair you get null instead of a broken row.

Pricing

Roughly $0.50 per 1,000 results. One run over the full BingX spot universe (800+ pairs) costs well under a cent of compute plus platform usage. The Actor makes a single HTTP request regardless of how many pairs you keep, so it is cheap to schedule frequently.

How to use

  1. Click Try for free / Start
  2. Optionally set symbolFilter (e.g. USDT) and maxItems
  3. Run the Actor - it finishes in seconds
  4. Download the dataset as JSON, CSV or Excel, or pull it via the Apify API
  5. Schedule it (every 5 minutes, hourly, daily) to build a price history

Run it locally

git clone https://github.com/notninoo-private/bingx-scraper.git
cd bingx-scraper
pip install -r requirements.txt
python -m src.main

FAQ

Do I need a BingX API key? No. This Actor uses BingX's public market-data endpoint, which requires no key, no signature and no account.

Is scraping BingX prices legal? This Actor only reads publicly available market data that BingX publishes for everyone. No personal data is collected.

Is change_pct_24h a fraction or a percent? A percent. BingX returns "-2.95%" as a string; the Actor strips the sign and stores -2.95.

How fresh is the data? Every run hits BingX live. close_time tells you the exchange-side window and scraped_at tells you when the Actor captured it.

How many pairs does BingX have? Around 800 spot pairs, most of them quoted in USDT.

Can I get just one pair? Yes - set symbolFilter to the exact symbol, e.g. SOL-USDT.

Can I use it for futures? This Actor covers the spot market. Ask and futures support can be added.

Building a multi-exchange dataset? Combine this Actor with:

Support

Found a bug or need an extra field (order books, klines, futures)? Open an issue on the Actor page - feature requests are usually shipped fast.

Disclaimer

This Actor returns public market data for informational purposes only. It is not financial advice. Trading crypto assets carries risk.