Binance Market Data Scraper — Spot, 24h Stats & Klines | No Auth | from $0.50/1K

Built for quant traders, algo-strategy builders, and crypto dashboards that need clean, structured Binance OHLCV data for backtesting — without a paid exchange data subscription.

No authentication required. 3,500+ trading pairs. from $0.50/1,000 tickers or $1.00/1,000 klines (Pay Per Event).

Scrape live Binance spot market data via the official public REST API. No authentication required.

What it does

Three modes:

Mode	What you get	Use case
tickers (default)	Full 24h rolling stats: price, change%, high, low, volume, trade count	Market monitoring, alerts, analysis
symbols	Lightweight last price only	Quick price snapshots for many pairs
klines	OHLCV candlestick history for any interval (1m → 1M)	Backtesting, charting, quant strategies

Supports all 3,500+ Binance spot trading pairs. Fetch one symbol, a curated list, or all pairs in a single run.

Output schema

Tickers / Symbols (modes: tickers, symbols)

Field	Type	Description
symbol	string	Trading pair (e.g. BTCUSDT)
base_asset	string	Base coin (e.g. BTC)
quote_asset	string	Quote coin (e.g. USDT)
last_price	number	Last traded price
price_change_24h	number	Absolute price change over 24h
price_change_pct_24h	number	Percentage price change over 24h
high_24h	number	24h high price
low_24h	number	24h low price
volume_24h	number	Base asset volume over 24h
quote_volume_24h	number	Quote asset volume over 24h
open_price	number	Opening price at start of 24h window
count_trades	integer	Number of trades in 24h window
parse_confidence	number	Data quality score (0.0–1.0)
warnings	array	Machine-readable warning codes

Klines (mode: klines)

Field	Type	Description
symbol	string	Trading pair
base_asset	string	Base coin
quote_asset	string	Quote coin
open_time	string	ISO 8601 UTC candle open time
close_time	string	ISO 8601 UTC candle close time
open_price	number	Opening price
high_price	number	High price
low_price	number	Low price
close_price	number	Closing price
volume	number	Base asset volume
quote_volume	number	Quote asset volume
count_trades	integer	Number of trades in candle
taker_buy_base_volume	number	Taker buy base asset volume
taker_buy_quote_volume	number	Taker buy quote asset volume
interval	string	Candle interval (1d, 1h, etc.)
parse_confidence	number	Data quality score
warnings	array	Warning codes

Input options

Option	Default	Description
mode	tickers	What to scrape: tickers, symbols, or klines
symbols	[]	Trading pairs to fetch. Empty = fetch ALL active pairs
klineSymbol	BTCUSDT	Symbol for klines mode
interval	1d	Kline interval: 1m 3m 5m 15m 30m 1h 2h 4h 6h 8h 12h 1d 3d 1w 1M
maxItems	500	Max records. 0 = no limit
quoteAssetFilter	``	(Advanced) Filter all-pairs by quote asset (e.g. USDT)
activeOnly	true	(Advanced) Skip non-TRADING status pairs
klineLimit	100	(Advanced) Candles per klines request (max 1000)

Example inputs

All USDT pairs (24h stats):

{
  "mode": "tickers",
  "symbols": [],
  "quoteAssetFilter": "USDT",
  "maxItems": 0
}

Top 3 pairs (quick price):

{
  "mode": "symbols",
  "symbols": ["BTCUSDT", "ETHUSDT", "SOLUSDT"]
}

BTC daily candlesticks (last 365 days):

{
  "mode": "klines",
  "klineSymbol": "BTCUSDT",
  "interval": "1d",
  "klineLimit": 365
}

Pricing example

Pay per result (PPE). Charged per record pushed:

Fetch	Records	Cost
3 specific pairs (tickers mode)	3	~$0.002
All USDT pairs (tickers, ~500 pairs)	500	~$0.25
100 daily BTC klines	100	~$0.10
All 3,500+ active spot pairs	~3,500	~$1.75

FAQ

Do I need a Binance account or API key? No. All endpoints used are public Binance market data — no authentication of any kind is required.

What formats can I export to? JSON, CSV, and Excel via the Apify dataset download or the REST API. Kline data maps directly to pandas DataFrame for backtesting.

Can I schedule this to run automatically? Yes. Set up a schedule in Apify Console or trigger via webhook from n8n / Make. Common use: run tickers mode every minute for a live dashboard.

What if a symbol returns empty or an error? Invalid symbols are skipped with a log warning — the actor does not crash. The warnings field in each record flags data-quality issues. Failed symbols appear in the failedDetails output key.

Notes

• No authentication required. All endpoints used are public Binance market data.
• Geo-availability: api.binance.com is accessible globally. If geo-blocked in your region, the actor will use data-api.binance.vision as a fallback automatically.
• Rate limits: Binance uses weight-based rate limiting. Single-symbol fetches use minimal weight; fetching all 3,500+ pairs at once uses higher weight but is still within public limits.
• parse_confidence: every record includes parse_confidence (0.0–1.0) so downstream pipelines can filter low-quality rows without manual inspection.
• Not affiliated with Binance. This actor uses the official Binance public REST API documented at https://binance-docs.github.io/apidocs/

Competitor comparison

Scraper	Approach	Price	Klines?	No auth?
This actor	Official Binance public API	PPE $0.50–1/1K	yes	yes
binance-price-fetcher (typical)	3rd-party lib	rental $9/mo	no	sometimes
exchange-data-scraper	HTML scraping	flat fee	no	no

Use with AI agents (MCP)

This actor is callable as a tool by AI agents (Claude Desktop, Cursor, VS Code, n8n, LangGraph, CrewAI, or any MCP-compatible client) via Apify's hosted Model Context Protocol server. An agent uses it to look up live Binance spot prices, 24h stats, or OHLCV kline history mid-conversation — e.g. "what is the current BTCUSDT price?", "show me the last 30 daily candles for ETHUSDT".

Point your MCP client at this tool:

{
  "mcpServers": {
    "apify": {
      "command": "npx",
      "args": [
        "mcp-remote",
        "https://mcp.apify.com/?tools=bovi/binance-scraper",
        "--header",
        "Authorization: Bearer <YOUR_APIFY_TOKEN>"
      ]
    }
  }
}

Minimal input an agent can send:

{ "mode": "symbols", "symbols": ["BTCUSDT", "ETHUSDT"] }

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Integrations

Built for quant traders and algo-strategy builders feeding OHLCV and 24h market stats into backtesting pipelines — the JSON/dataset output drops into the tools you already run, no glue code:

• n8n / Make / Zapier — trigger a run or pipe every new dataset item into 500+ apps (Google Sheets, Airtable, Slack, HubSpot, your database) with no code: n8n, Make, Zapier.
• Webhooks — fire your own endpoint the moment a run finishes, to push results straight into your pipeline (docs).
• MCP server — expose this actor as a tool to Claude, Cursor, or any MCP client so an AI agent can pull this data mid-conversation (guide).
• API & SDKs — fetch the dataset as JSON, CSV, or Excel through the Apify REST API or the Python / JS SDKs.

See all Apify integrations.