Gemini Exchange Prices Scraper

Gemini Exchange Prices Scraper — Crypto Tickers, Market Rules, and Candles

Overview

Gemini Exchange Prices Scraper collects publicly available cryptocurrency market data and organizes it into structured dataset records. Choose from ticker snapshots, the trading-pair catalog, symbol details, or OHLC candlestick data.

The actor supports configurable trading pairs, candle intervals, and collection limits. Export the results as JSON, CSV, or Excel through the Apify dataset for market research, price monitoring, and historical charting workflows.

Features

• Ticker snapshots: Collect bid prices, ask prices, last prices, and available trading-volume information.
• Trading-pair catalog: Retrieve the available market symbols.
• Symbol details: Collect available currency information, tick sizes, minimum order sizes, and trading status.
• OHLC candles: Collect open, high, low, and close prices with associated volume.
• Multiple trading pairs: Specify symbols such as btcusd.
• Configurable intervals: Select from supported candlestick timeframes.
• Duplicate prevention: Skip duplicate symbols and candle timestamps.
• Structured dataset: Save records in a flat format suitable for analysis.
• Flexible exports: Download data as JSON, CSV, or Excel.
• Scheduled snapshots: Repeat collection to compare market data across different times.

Use Cases

• Price monitoring: Save bid, ask, and last prices for Bitcoin and other available trading pairs.
• Market discovery: Retrieve the published symbol catalog to review available markets.
• Trading-rule research: Examine price increments, minimum order sizes, and trading status.
• Historical charting: Collect hourly or other supported candlesticks for price analysis.
• Market comparison: Compare snapshots collected at different times.
• Research datasets: Prepare structured market records for Python, Pandas, spreadsheets, or data warehouses.

Input Parameters

Parameter	Type	Default	Description
symbols	Array of strings	["btcusd"]	Trading-pair symbols used in ticker, details, and candle modes.
mode	String	ticker	Collection mode: ticker, symbols, details, or candles.
timeFrame	String	1hr	Candlestick interval used in candles mode.
maxItems	Integer	100	Maximum number of rows to save, including failed-lookup rows. Hard maximum: 1,000.
requestDelaySecs	Number	1	Minimum delay between requests, in seconds.
timeoutSecs	Integer	300	Maximum run duration.
requestTimeoutSecs	Integer	30	Maximum wait for an individual response, in seconds.

Example Input

1. Collect a Bitcoin ticker

{
  "symbols": ["btcusd"],
  "mode": "ticker",
  "timeFrame": "1hr",
  "maxItems": 100,
  "requestDelaySecs": 1,
  "timeoutSecs": 300,
  "requestTimeoutSecs": 30
}

2. Collect the trading-pair catalog

{
  "symbols": [],
  "mode": "symbols",
  "timeFrame": "1hr",
  "maxItems": 1000,
  "requestDelaySecs": 1,
  "timeoutSecs": 300,
  "requestTimeoutSecs": 30
}

3. Collect symbol details

{
  "symbols": ["btcusd", "ethusd"],
  "mode": "details",
  "timeFrame": "1hr",
  "maxItems": 100,
  "requestDelaySecs": 1,
  "timeoutSecs": 300,
  "requestTimeoutSecs": 30
}

4. Collect hourly candles

{
  "symbols": ["btcusd"],
  "mode": "candles",
  "timeFrame": "1hr",
  "maxItems": 100,
  "requestDelaySecs": 1,
  "timeoutSecs": 300,
  "requestTimeoutSecs": 30
}

Supported candle intervals are 1m, 5m, 15m, 30m, 1hr, 6hr, and 1day, subject to availability.

What Data Does This Actor Extract?

The actor produces records according to the selected mode. Ticker records contain current market prices and available volume information. Symbol catalog records identify available trading pairs, while details records contain market configuration information. Candle records contain OHLC prices and base volume.

Extracted Data Fields

Field	Type	Description
symbol	String	Trading-pair identifier, such as btcusd.
bid	String	Best bid price reported by the ticker.
ask	String	Best ask price reported by the ticker.
last	String	Last trade price reported by the ticker.
volume	Object	Available volume amounts and associated timestamp.
quote_currency	String	Quote currency from symbol details, when available.
base_currency	String	Base currency from symbol details, when available.
tick_size	Number	Minimum price increment, when provided.
quote_increment	Number	Quote amount increment, when provided.
min_order_size	String	Minimum order size, when provided.
symbol_status	String	Trading status, such as open, when provided.
wrap_enabled	Boolean	Whether wrapping is enabled, when provided.
product_type	String	Product classification, when available.
contract_type	String	Contract classification, when available.
contract_price_currency	String	Contract price currency, when provided.
time_frame	String	Candlestick interval associated with the record.
candle_time	Integer	Candle open time in milliseconds.
open_price	Number	Candle opening price.
high_price	Number	Highest price during the candle.
low_price	Number	Lowest price during the candle.
close_price	Number	Candle closing price.
candle_volume	Number	Base volume for the candle.
mode	String	Collection mode: ticker, symbols, details, or candles.
scraped_at	String	UTC timestamp indicating when the record was saved.

Fields vary by collection mode and by the information available for each trading pair.

Example Output

{
  "symbol": "btcusd",
  "bid": "83259.14000",
  "ask": "83259.15000",
  "last": "83264.50000",
  "volume": {
    "BTC": "48.7241862",
    "USD": "4056995.0018499",
    "timestamp": 1791753780000
  },
  "mode": "ticker",
  "scraped_at": "2026-10-12T00:00:00+00:00"
}

This example illustrates the ticker output structure. Actual prices, volume amounts, and timestamps vary with market conditions and collection time.

Working with Your Dataset

When the run completes, open the Apify dataset to inspect and export the results.

• JSON: Suitable for structured data processing and application workflows.
• CSV: Useful for Pandas, spreadsheet applications, and analytical pipelines.
• Excel: Convenient for manual review, filtering, and reporting.

Ticker records can be used to compare bid-ask spreads. Symbol details can support market catalog analysis, while candle records can be transformed into time series for charting and historical research.

Check timestamps, available fields, and trading-pair identifiers before combining records from different modes.

Important Notes

• The default collection mode is ticker, with btcusd as the default symbol.
• Supported modes are ticker, symbols, details, and candles.
• The timeFrame setting applies to candle collection only.
• The maximum number of saved rows is 1,000 per run.
• The configured row limit applies to saved results, including failed-lookup rows.
• The trading-pair catalog and candle responses may contain many records; the configured row limit can restrict the number saved.
• Requests are processed sequentially with a minimum delay of one second.
• Duplicate symbols and duplicate candle timestamps are skipped.
• Some fields may be absent depending on the collection mode or the market information provided.
• Results reflect the information available when the actor runs and are not guaranteed to represent current prices after collection.
• Market availability and supported candle intervals depend on the exchange's published data.
• Cryptocurrency prices are volatile. Collected snapshots are intended for research and analysis, not as guaranteed real-time quotes or investment advice.

FAQ

What collection modes are available?

The actor supports ticker snapshots, the trading-pair catalog, symbol details, and candlestick data.

Can I collect multiple trading pairs?

Yes. Supply multiple symbols, such as btcusd and ethusd, for ticker, details, or candle collection.

What information is available in ticker mode?

Ticker records include the available bid, ask, last price, and volume information.

What does symbol details mode provide?

It collects available trading configuration details, such as base and quote currencies, tick size, minimum order size, and trading status.

Which candlestick intervals are supported?

The configured intervals are 1m, 5m, 15m, 30m, 1hr, 6hr, and 1day, subject to availability.

How fresh is the collected market data?

Each run collects the information available at collection time. The scraped_at field records when a row was saved; it does not guarantee a particular exchange response latency.

Why are some fields missing?

The available fields depend on the collection mode and the data returned for a particular market or candle.

Can I export the results to CSV or Excel?

Yes. The completed dataset can be downloaded as JSON, CSV, or Excel.

Disclaimer

This actor is an independent data-collection tool and is not affiliated with, endorsed by, sponsored by, or officially associated with Gemini or its owners. Market data is provided for informational and research purposes. Users are responsible for evaluating the suitability of the collected information for their intended use. Nothing in the dataset constitutes financial advice or a recommendation to buy or sell cryptocurrency.

Is Web Scraping Legal?

Collecting information that is already public is generally legal. Scraping is not the same thing as hacking, and there is no single law that bans it. The limits are the usual ones: do not break into accounts, do not take private or confidential data, and be careful with personal data and copyrighted works. A site's terms can also restrict how you access it. Facts such as a public name, price, or rating are not the same thing as republishing someone's article or photo.

This actor collects information from public pages. It does not log in and it does not bypass access controls.

For a longer explanation, see Apify's article Is web scraping legal?.