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Bitget Crypto Tickers Scraper

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from $23.03 / 1,000 results

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Bitget Crypto Tickers Scraper

Bitget Crypto Tickers Scraper

Scrapes live Bitget spot tickers with symbol, last price, 24h base and quote volume, and 24h change percent. Filter by quote asset, sort, and export to CSV, JSON, Excel, or XML.

Pricing

from $23.03 / 1,000 results

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ParseForge

ParseForge

Maintained by Community

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2

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1

Monthly active users

9 days ago

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ParseForge

Bitget Crypto Tickers Scraper

Scrape live Bitget crypto tickers for any spot pair, with price, 24h volume, and change percent. Filter by quote asset, sort by volume or change, and export up to a million rows to CSV, JSON, Excel, or XML. No API key needed.

Bitget's official API requires an account, API keys, and rate limits that slow down bulk data collection. This scraper reads the public spot ticker feed directly, so you can pull current prices, 24h base and quote volume, and 24h change percent for every trading pair on Bitget. Filter by quote asset like USDT or BTC, sort by volume or price change, and get a clean dataset in minutes.

Who uses itWhat they scrape Bitget for
Crypto tradersMonitor price movements and volume across Bitget pairs to spot momentum.
Quantitative analystsBuild datasets of current market snapshots for backtesting and signal research.
Market researchersTrack which quote assets and pairs are most active on Bitget.
Portfolio managersPull current prices for valuation and rebalancing across multiple assets.

What it does

This Actor collects live spot tickers from Bitget and returns each trading pair as a flat row with symbol, last price, 24h base volume, 24h quote volume, and 24h change percent.

  • 💱 Quote asset filter: limit results to pairs quoted in USDT, USDC, BTC, ETH, EUR, or BRL.
  • 📊 Flexible sorting: order by quote volume, base volume, 24h change, last price, or symbol.
  • 🔢 Row limit control: set a maximum number of tickers to return, from 1 up to 1,000,000 for paid users.
  • 📁 Multiple export formats: download your data 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 Bitget data

📈 Monitor market movers.

A trader runs the scraper daily with sortBy set to changePercent and maxItems 50 to see which Bitget pairs gained or lost the most in the last 24 hours.

💹 Build a volume leaderboard.

A market researcher filters by USDT and sorts by quoteVolume to rank the most actively traded USDT pairs on Bitget.

🧮 Feed a pricing model.

A quant analyst pulls all BTC-quoted pairs into a CSV to calculate cross-pair arbitrage opportunities.

📊 Track portfolio values.

A portfolio manager scrapes last prices for a fixed list of symbols to update a dashboard with current valuations.

Why choose this scraper

What you get
No API keyScrape public ticker data without registering a Bitget API account or dealing with rate limits.
Live dataGet current prices and 24h volume for every spot pair on Bitget at the time of the run.
Clean schemaEach ticker is returned as a flat row with consistent field names for easy analysis.
ScalableCollect up to a million tickers per run with a paid Apify plan.

How it compares

This Actor focuses on spot ticker data with flexible filtering and sorting, while the competitors below offer different scopes or additional market types.

FeatureParseForgeBitget Crypto Ticker Scraper - Prices, Volume & 24h ChangeBitget Tickers ScraperListing Radar - CEX New Listing & Delisting Monitor
Spot ticker dataYesYesYesNot listed
Quote asset filterYesNot listedNot listedNot listed
Sorting by volume or changeYesNot listedNot listedNot listed
Futures ticker dataNot listedNot listedYesNot listed
New listing monitoringNot listedNot listedNot listedYes
Bid/ask pricesNot listedYesYesNot listed

Configure the run

Drive the Actor with an optional quote asset filter, a sort order, and a maximum row count. Filters apply before data is written, so your dataset contains only the pairs you need. 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: $0.0307 per result collected. You pay only for the results written to your dataset.

Results collectedApproximate cost
100 results$3.07
1,000 results$30.70
10,000 results$307.00

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 Bitget 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 Bitget 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/bitget-tickers-scraper"

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

Troubleshooting

Why am I getting no results?

Check your quoteAsset filter. If you selected a quote asset that has no active pairs, the dataset will be empty. Try leaving quoteAsset empty to see all pairs.

Why did I only get 10 tickers?

Free Apify plans are limited to 10 items as a preview. Upgrade to a paid plan and set maxItems to a higher number to get more results.

The sort order seems wrong.

All sort options except symbol are descending. If you sort by symbol, results are ascending from A to Z. Make sure you selected the intended field.

Can I scrape futures tickers with this Actor?

No, this Actor only scrapes spot tickers. For futures data, use a scraper that targets Bitget futures endpoints.

The run failed with a timeout.

If you set maxItems very high, the run may take longer. Try reducing maxItems or increasing the Actor's timeout in the run settings.

FAQ

QuestionAnswer
Do I need a Bitget API key to use this scraper?No. The scraper reads Bitget's public spot ticker endpoint, so no API key or account registration is required.
What data does each ticker include?Each row includes the trading pair symbol, last price, 24h base volume, 24h quote volume, and 24h change percent. Additional fields may be present depending on the run.
Can I filter by quote asset?Yes. Use the quoteAsset input to select USDT, USDC, BTC, ETH, EUR, BRL, or leave it empty to get all pairs.
How many tickers can I scrape in one run?Free users are limited to 10 tickers as a preview. Paid users can set maxItems up to 1,000,000.
Can I sort the results?Yes. Sort by quote volume, base volume, 24h change percent, last price, or symbol, in descending order except for symbol which is ascending.
What export formats are supported?You can export the dataset as CSV, JSON, Excel, or XML from the Apify platform.
Does this scraper work for futures tickers?No, this Actor scrapes spot market tickers only. For futures data, consider a dedicated futures scraper.
How often should I run this scraper?Ticker data changes constantly. For near real-time monitoring, schedule runs every few minutes using Apify's scheduler.
Is the data historical or live?The scraper returns the current ticker snapshot at the time of the run. It does not provide historical data.
Can I get only specific trading pairs?There is no direct symbol filter, but you can filter by quote asset and then sort and limit the results to narrow down the list.

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 Bitget 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.