# Bitfinex Crypto Ticker Scraper - Price, Volume & 24h Change (`ninhothedev/bitfinex-scraper`) Actor $0.5/1K 🔥 Bitfinex crypto scraper! Price, bid/ask, 24h volume & change for all pairs. No key. JSON, CSV, Excel or API in seconds. Track markets for trading, bots & portfolios ⚡ - **URL**: https://apify.com/ninhothedev/bitfinex-scraper.md - **Developed by:** [ninhothedev](https://apify.com/ninhothedev) (community) - **Categories:** Developer tools, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.50 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Bitfinex Crypto Ticker Scraper Scrape **live ticker data for every trading pair on Bitfinex** — last price, bid, ask, 24-hour change %, 24-hour volume, daily high and low — in a single run. Powered by the official Bitfinex public REST API, so there is **no API key, no login, and no rate-limit headaches**. Perfect for crypto traders, market-monitoring dashboards, trading bots, and portfolio trackers that need clean, structured price data on demand. --- ### What it does This actor calls Bitfinex's public `v2/tickers` endpoint and returns one clean record per trading pair. It automatically skips funding-market symbols and normalizes the exchange's compact positional-array format into readable JSON. - **All trading pairs** in one run (270+ pairs). - **Optional symbol filter** — grab just `USD`, `BTC`, `ETH` pairs, or anything else. - **Clean, typed output** — every numeric field parsed to a float, everything nullable. - **Fast & cheap** — a single API call, no browser, tiny memory footprint. ### Example use cases - **Crypto trading** — pull real-time prices and spreads for order routing. - **Market monitoring** — feed a dashboard or alert system with 24h change and volume. - **Trading bots** — schedule the actor and stream fresh tickers into your strategy engine. - **Portfolio tracking** — value holdings using the latest last-price per pair. ### Input | Field | Type | Description | |-------|------|-------------| | `mode` | select | What to scrape. `tickers` returns all trading pairs. | | `symbolFilter` | string | Optional case-insensitive substring filter on the pair symbol, e.g. `USD`. Leave empty for all pairs. | | `maxItems` | integer | Max records to store. Default `500`, max `5000`. | #### Example input ```json { "mode": "tickers", "symbolFilter": "USD", "maxItems": 500 } ```` ### Output Each dataset item looks like this: ```json { "symbol": "BTCUSD", "last_price": 63947.0, "bid": 63949.0, "ask": 63966.0, "daily_change": -973.0, "change_pct_24h": -1.5, "volume_24h": 1072.39944949, "high_24h": 65848.0, "low_24h": 63759.0, "source": "bitfinex", "scraped_at": "2026-07-24T12:00:00+00:00" } ``` | Field | Description | |-------|-------------| | `symbol` | Trading pair, with the leading `t` stripped (e.g. `BTCUSD`). | | `last_price` | Last traded price. | | `bid` / `ask` | Best bid / best ask. | | `daily_change` | Absolute 24h price change. | | `change_pct_24h` | 24h change in percent, rounded to 2 decimals. | | `volume_24h` | 24h trading volume (in the base currency). | | `high_24h` / `low_24h` | 24h high / low. | | `source` | Always `bitfinex`. | | `scraped_at` | UTC ISO-8601 timestamp of the scrape. | ### Pricing Runs are cheap — a single lightweight API call. Expect roughly **~$0.50 per 1,000 runs** on the Apify platform depending on your plan. Schedule it as often as you need for near-real-time data. ### Related crypto scrapers - [OKX Scraper](https://apify.com/ninhothedev/okx-scraper) - [Kraken Crypto Scraper](https://apify.com/ninhothedev/kraken-crypto-scraper) - [KuCoin Scraper](https://apify.com/ninhothedev/kucoin-scraper) - [Coinbase Crypto Scraper](https://apify.com/ninhothedev/coinbase-crypto-scraper) ### FAQ **Do I need a Bitfinex API key?** No. This uses the public market-data endpoint only. **How fresh is the data?** It reflects Bitfinex's live ticker at the moment of the run. **Can I get a single pair?** Yes — set `symbolFilter` to the exact symbol, e.g. `BTCUSD`. **Is funding-market data included?** No, only trading pairs are returned. # Actor input Schema ## `mode` (type: `string`): What to scrape. Currently 'tickers' returns every Bitfinex trading pair with its live price, 24h change, and volume. ## `symbolFilter` (type: `string`): Optional case-insensitive substring filter on the pair symbol. For example 'USD' returns only USD-quoted pairs, 'BTC' returns pairs that contain BTC. Leave empty to return all trading pairs. ## `maxItems` (type: `integer`): Maximum number of ticker records to store in the dataset. Default 500, maximum 5000. ## Actor input object example ```json { "mode": "tickers", "symbolFilter": "USD", "maxItems": 500 } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("ninhothedev/bitfinex-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("ninhothedev/bitfinex-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call ninhothedev/bitfinex-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ninhothedev/bitfinex-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Bitfinex Crypto Ticker Scraper - Price, Volume & 24h Change", "description": "$0.5/1K 🔥 Bitfinex crypto scraper! Price, bid/ask, 24h volume & change for all pairs. No key. JSON, CSV, Excel or API in seconds. Track markets for trading, bots & portfolios ⚡", "version": "0.1", "x-build-id": "pqnCoej4S848PoSIB" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ninhothedev~bitfinex-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ninhothedev-bitfinex-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/ninhothedev~bitfinex-scraper/runs": { "post": { "operationId": "runs-sync-ninhothedev-bitfinex-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/ninhothedev~bitfinex-scraper/run-sync": { "post": { "operationId": "run-sync-ninhothedev-bitfinex-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "mode" ], "properties": { "mode": { "title": "Scrape mode", "enum": [ "tickers" ], "type": "string", "description": "What to scrape. Currently 'tickers' returns every Bitfinex trading pair with its live price, 24h change, and volume.", "default": "tickers" }, "symbolFilter": { "title": "Symbol filter (optional)", "type": "string", "description": "Optional case-insensitive substring filter on the pair symbol. For example 'USD' returns only USD-quoted pairs, 'BTC' returns pairs that contain BTC. Leave empty to return all trading pairs." }, "maxItems": { "title": "Maximum items", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum number of ticker records to store in the dataset. Default 500, maximum 5000.", "default": 500 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```