BingX Crypto Ticker Scraper - Prices, Volume & 24h Change
Pricing
from $0.50 / 1,000 results
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
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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 numericchange_pct_24hof-2.95 - Converts
closeTimeepoch 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
| Field | Type | Default | Description |
|---|---|---|---|
mode | select | tickers | What to scrape. tickers returns the 24h ticker snapshot for every BingX spot pair. |
symbolFilter | string | (empty) | Case-insensitive substring filter on the BingX symbol (BASE-QUOTE). e.g. USDT, BTC, SOL-USDT. Empty = all pairs. |
maxItems | integer | 500 | Maximum 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
| Field | Type | Meaning |
|---|---|---|
symbol | string | BingX market symbol, format BASE-QUOTE (e.g. BTC-USDT) |
last_price | float | Most recent traded price |
open | float | Price 24 hours ago |
high_24h | float | Highest price in the last 24 hours |
low_24h | float | Lowest price in the last 24 hours |
bid | float | Best bid price on the order book |
ask | float | Best ask price on the order book |
base_volume_24h | float | 24h traded volume in the base asset |
quote_volume_24h | float | 24h traded volume in the quote asset (liquidity proxy) |
price_change | float | Absolute 24h price change |
change_pct_24h | float | 24h change as a percent, rounded to 2 decimals (-2.9 = -2.9%) |
close_time | string | Ticker window close time, ISO-8601 UTC |
source | string | Always bingx |
scraped_at | string | When 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
- Click Try for free / Start
- Optionally set
symbolFilter(e.g.USDT) andmaxItems - Run the Actor - it finishes in seconds
- Download the dataset as JSON, CSV or Excel, or pull it via the Apify API
- Schedule it (every 5 minutes, hourly, daily) to build a price history
Run it locally
git clone https://github.com/notninoo-private/bingx-scraper.gitcd bingx-scraperpip install -r requirements.txtpython -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.
Related crypto scrapers
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.