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Bitcoin OHLC Candlestick Data (7 Days) - CoinGecko

Open, high, low and close candles for Bitcoin over the last seven days, in the 4-hour steps CoinGecko sets for this window. One row per candle with the UTC timestamp, the date and the change inside the candle - for charting libraries, indicators and short backtests that need OHLC rather than a single daily price. Switch ids to any coin and days to 1, 14, 30, 90, 180 or 365.

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CoinGecko Scraper — Crypto Prices, Market Cap, Volume, Trending
CoinGecko Scraper — Crypto Prices, Market Cap, Volume, Trendingyadroo/coingecko-markets
Coin id
Date
Timestamp
Price
+8 fields
Text
Number
Boolean
List
Object

Input

Coin ids:bitcoin
Days back:7
Quote currency:usd

Output fields

Coin id
Date
Timestamp
Price
Open
High
Low
Close
Market cap
24h volume
Change %
Quote currency

How it works

Sign up on Apify or log in

The CoinGecko Scraper — Crypto Prices, Market Cap, Volume, Trending Actor is ready to run with the inputs already set for "Bitcoin OHLC Candlestick Data (7 Days) - CoinGecko". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Bitcoin OHLC Candlestick Data (7 Days) - CoinGecko" task

The CoinGecko Scraper — Crypto Prices, Market Cap, Volume, Trending Actor will start running based on the input automatically. You can also change all the input fields, like coin ids, days back, and more, to match your specific use case.

Receive the "Bitcoin OHLC Candlestick Data (7 Days) - CoinGecko" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as coin id, date, timestamp, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Bitcoin OHLC Candlestick Data (7 Days) - CoinGecko" task via API.

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Integrate "Bitcoin OHLC Candlestick Data (7 Days) - CoinGecko" into your workflow

Connect "Bitcoin OHLC Candlestick Data (7 Days) - CoinGecko" with 100+ integrations, or run it via API or MCP.

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