WhiteBIT Crypto Tickers Scraper

WhiteBIT Crypto Tickers Scraper

Scrape live crypto tickers from WhiteBIT, filtered by quote currency and sorted by volume, price, or change. Every ticker returns its symbol, last price, 24h volume, and percent change. No API key required. Export to CSV, JSON, Excel, or XML.

WhiteBIT lists hundreds of spot trading pairs, but checking them manually or building a custom WebSocket client takes time you could spend on analysis. This Actor reads the public ticker endpoint directly, lets you pick a quote currency like USDT or BTC, and returns a clean dataset of the pairs that matter to you.\n\nIt is a fast, one-shot scraper for the current market snapshot, not a streaming feed.

Who uses it	What they scrape WhiteBIT for
Crypto traders	Spot the top movers on WhiteBIT in the last 24 hours before placing a trade.
Quantitative analysts	Pull a daily snapshot of USDT pairs into a backtesting pipeline.
Market data aggregators	Add WhiteBIT prices to a multi-exchange dashboard or database.
Portfolio trackers	Update the current value of assets held on WhiteBIT.

What it does

This Actor collects live WhiteBIT ticker data for all available pairs or a filtered subset, and returns each ticker as a flat row with symbol, last price, 24h volume, and 24h percent change.

• 💱 Quote currency filter: restrict results to USDT, USDC, USD, or BTC pairs, or pull all pairs at once.
• 📊 Flexible sorting: order by 24h volume, 24h percent change, last price, or symbol alphabetically.
• 🔢 Result cap: set a maximum number of tickers to collect, from 1 up to 1,000,000 per run.
• 📁 Multi-format export: download your dataset as CSV, JSON, Excel, or XML.

Results export to CSV, JSON, Excel, or XML, or straight from the API.

What you can do with WhiteBIT data

📈 Scan top volume pairs.

A trader runs the Actor sorted by 24h volume for USDT pairs to see which coins are moving the most liquidity right now.

📉 Catch biggest losers and gainers.

An analyst sorts by 24h percent change to identify extreme movers on WhiteBIT for a morning volatility report.

💰 Track BTC-denominated markets.

A researcher filters by BTC quote currency to study altcoin performance against Bitcoin without dollar noise.

🗄️ Feed a data warehouse.

A data engineer schedules a daily run pulling all pairs into a cloud bucket, keeping a history of WhiteBIT prices.

Why choose this scraper

	What you get
No API key	Reads the public WhiteBIT endpoint, so you skip registration and rate-limit headaches.
Clean flat schema	Every row is one trading pair with its price, volume, and change, ready for spreadsheets or scripts.
One-shot snapshot	Grabs the current ticker state in a single run, ideal for periodic jobs or ad-hoc checks.

How it compares

No other Store actor targets WhiteBIT the same way, so the honest comparison is with the alternatives teams actually weigh.

	WhiteBIT Crypto Tickers Scraper	Build it in-house	By hand
Setup	Run it now, zero config	Days of engineering	None, but hours per pull
When WhiteBIT changes	Maintained for you	You fix it	You re-learn the page
Proxies, retries, anti-bot	Built in	Your problem	Browser only
Output	Fixed JSON schema, CSV/Excel export	Whatever you build	Copy-paste
Cost	Pay per result	Engineering time	Analyst hours

Configure the run

Drive the Actor by choosing a quote currency, a sort order, and a maximum number of tickers; only matching pairs land in your dataset. The Input tab lists every parameter.

A first run with the defaults:

{
 "maxItems": 10,
 "sortBy": "volume"
}

A larger pull:

{
 "maxItems": 200,
 "sortBy": "volume"
}

Pricing

Pay-per-result: $0.0335 per result collected. You pay only for the results written to your dataset.

Results collected	Approximate cost
100 results	$3.35
1,000 results	$33.50
10,000 results	$335.00

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 WhiteBIT 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 WhiteBIT 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/whitebit-tickers-scraper"

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

Troubleshooting

Why am I getting fewer tickers than my maxItems setting?

The Actor returns only the pairs that match your quote currency filter. If WhiteBIT has fewer pairs for that quote currency than your maxItems value, you will get all of them. Try setting the quote currency to 'All pairs' to see the full list.

The run failed with a timeout error.

WhiteBIT's public endpoint may be temporarily slow or unreachable. Wait a minute and retry the run. If the problem persists, check WhiteBIT's status page for any announced downtime.

Some fields show null or zero values.

Newly listed pairs or pairs with no trades in the last 24 hours may have a null last price or zero volume. This is expected behavior from the exchange, not a scraper error.

The sort order looks wrong in my CSV.

The Actor sorts the data before writing it to the dataset. If you open the CSV in Excel, make sure Excel is not applying its own auto-sort. The raw file preserves the requested order.

Can I filter by base currency instead of quote?

The input schema only supports filtering by quote currency. To isolate a specific base asset like BTC, pull all pairs and filter the symbol column in your spreadsheet or script for pairs starting with BTC_.

FAQ

Question	Answer
Do I need a WhiteBIT account or API key?	No. The Actor reads the public ticker endpoint that WhiteBIT exposes without authentication. You do not need to register or generate keys.
How fresh is the data?	The Actor fetches the current ticker snapshot at the moment the run starts. It does not stream updates, so schedule frequent runs if you need near-real-time data.
Can I get only USDT pairs?	Yes. Set the Quote Currency Filter to USDT and the Actor returns only pairs where the quote asset is USDT.
What does the 24h percent change field represent?	It is the price change over the last 24 hours expressed as a percentage, as reported by WhiteBIT's ticker endpoint.
How many tickers can I collect in one run?	You can set the maximum anywhere from 1 to 1,000,000. The actual number returned depends on how many pairs match your quote currency filter.
Can I sort by the highest price?	Yes. Choose 'Last price (desc)' in the Sort By dropdown to get pairs ordered from the highest last traded price to the lowest.
Does this Actor support WhiteBIT futures or margin markets?	No, it only reads the spot market ticker endpoint. Futures and margin tickers are not included.
What output formats are supported?	You can export your dataset to CSV, JSON, Excel, or XML directly from the Apify platform.
Can I run this on a schedule?	Yes. Apify supports scheduled runs. Set it to run every hour, day, or any cron interval you need.
Is the 24h volume in quote or base currency?	WhiteBIT reports the 24h volume in the quote currency. For a BTC_USDT pair, the volume is denominated in USDT.

Related actors

• coinmarketcap-scraper: Use this if you need broader market data, rankings, and historical snapshots across thousands of coins, not one exchange.

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 WhiteBIT. 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.