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

Scrape live spot market data from Bitget for every trading pair on the exchange - last price, bid/ask spread, 24h high/low/open, base and quote volume, and 24h percent change - in one run. No API key, no signature, no account, no proxy required.

The Actor hits Bitget's official public market endpoint, normalizes every value into clean typed JSON, and pushes one dataset row per trading pair. Export to JSON, CSV, Excel, XML or HTML, or pull it straight into your trading bot through the Apify API.

Over 1,180 spot pairs returned in a single run, including ~1,115 USDT-quoted markets. One run takes a couple of seconds.

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What this Actor does

Feature	Detail
Data source	Bitget public spot market API (/api/v2/spot/market/tickers)
Authentication	None - no API key, no secret, no passphrase
Coverage	Every spot trading pair listed on Bitget (USDT, USDC, BTC, ETH, BRL, EUR quotes...)
Filtering	Case-insensitive symbol substring (USDT, BTC, ETHUSDT)
Speed	Single request, full market snapshot in seconds
Proxy	Not required
Output	Flat, typed, ready for pandas / Sheets / Postgres

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Pricing

This Actor is priced pay-per-result at roughly $0.50 per 1,000 items, on top of the negligible platform compute (it needs only 512 MB and finishes in seconds).

A full market snapshot of ~1,180 pairs costs well under a dollar. A focused run - say the top 200 USDT pairs polled every 15 minutes - costs cents per day. There is no exchange API fee because Bitget's ticker endpoint is public.

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Input

Field	Type	Default	Description
mode	select	tickers	Scrape mode. tickers returns the 24h snapshot for all spot pairs.
symbolFilter	string	(empty)	Optional case-insensitive substring matched against the symbol. USDT returns all USDT markets, BTC returns every pair containing BTC, ETHUSDT returns one market.
maxItems	integer	500	Cap on returned rows (max 5000). Results are sorted by 24h quote volume first, so a small cap still returns the most liquid markets.

Example input - all USDT pairs

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

Example input - full market snapshot

{
  "mode": "tickers",
  "maxItems": 5000
}

Example input - a single pair

{
  "mode": "tickers",
  "symbolFilter": "BTCUSDT",
  "maxItems": 1
}

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Output

One dataset item per trading pair:

{
  "symbol": "BTCUSDT",
  "last_price": 91250.31,
  "bid": 91250.12,
  "ask": 91250.45,
  "high_24h": 92880.0,
  "low_24h": 90105.6,
  "open_24h": 92511.4,
  "base_volume_24h": 4821.55182,
  "quote_volume_24h": 441203877.9,
  "change_pct_24h": -1.36,
  "ts": "2026-07-28T01:50:27.680000+00:00",
  "source": "bitget",
  "scraped_at": "2026-07-28T01:50:29.093450+00:00"
}

Field reference

Field	Type	Meaning
symbol	string	Bitget pair symbol, e.g. BTCUSDT
last_price	float	Most recent trade price
bid	float	Best bid price
ask	float	Best ask price
high_24h	float	Highest price in the rolling 24h window
low_24h	float	Lowest price in the rolling 24h window
open_24h	float	Price 24 hours ago
base_volume_24h	float	24h volume in the base asset
quote_volume_24h	float	24h volume in the quote asset
change_pct_24h	float	24h change as a percent, rounded to 2 decimals (-1.36 = -1.36%)
ts	string	Exchange timestamp, ISO-8601 UTC
source	string	Always bitget
scraped_at	string	Scrape time, ISO-8601 UTC

Every field is nullable and every numeric is a real float - Bitget ships numbers as strings and the 24h change as a fraction (-0.0136); this Actor coerces both so you never have to.

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Use cases

Crypto trading

Build screeners that rank pairs by 24h change or quote volume, spot breakouts against the 24h high, and measure bid/ask spreads before routing an order. The full-market snapshot means you find movers you were not already watching.

Price monitoring

Schedule the Actor every 5, 15 or 60 minutes and stream results into a time-series store to build your own OHLC history, alert on threshold crossings, or watch a stablecoin's peg.

Trading bots

Feed a clean, typed ticker feed into a signal generator or rebalancer without writing exchange plumbing, handling TLS fingerprinting, or maintaining API keys. The Apify API returns the dataset as JSON in one call.

Portfolio tracking

Value multi-asset holdings in USD or BTC terms with a single run, compute daily P&L from open_24h versus last_price, and check cross-exchange divergence by combining with the related scrapers below.

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How to use it

1. Open the Actor on Apify and click Try for free.
2. Optionally set symbolFilter (e.g. USDT) and maxItems.
3. Click Start. Results appear in the dataset within seconds.
4. Export as CSV/JSON/Excel, or grab them programmatically:

curl "https://api.apify.com/v2/acts/ninhothedev~bitget-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"symbolFilter":"USDT","maxItems":200}'

Use Schedules to run it on a cron and Integrations to push results into Google Sheets, Slack, Zapier, Make or a webhook.

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FAQ

Do I need a Bitget API key? No. The ticker endpoint is public and unauthenticated.

Do I need proxies? No. The Actor uses browser-grade TLS impersonation and works fine on Apify's default network.

How fresh is the data? Each row carries the exchange's own ts timestamp, typically less than a second old at scrape time.

Are futures/perpetual markets included? No - this Actor covers Bitget spot markets.

Why is change_pct_24h different from what I saw on the website? Bitget's site sometimes shows UTC-day change. This Actor reports the rolling 24-hour change (change24h), converted from a fraction to a percent.

What if a pair has no bid or ask? Illiquid markets can return empty values. Those fields become null rather than failing the run.

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Related Actors

Track the same asset across exchanges with the rest of the suite:

• OKX Crypto Ticker Scraper
• Gate.io Crypto Ticker Scraper
• HTX Crypto Ticker Scraper
• MEXC Crypto Ticker Scraper

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Legal & fair use

This Actor reads only public, unauthenticated market data published by Bitget for programmatic consumption, and contains no personal data. Respect Bitget's terms of service and keep your scheduling reasonable. Nothing here is financial advice - always validate data before trading on it.