# Binance Price History Scraper (`getdataforme/binance-price-history-scraper`) Actor Extract precise historical cryptocurrency price data from Binance with this Apify Actor. Features include flexible time ranges, high-reliability JSON output, and no API keys required. Ideal for market analysis, trading strategies, and research. Start scraping effortlessly today! (218 characters) - **URL**: https://apify.com/getdataforme/binance-price-history-scraper.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** Lead generation, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 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 a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.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/platform/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 ## Binance Price History Scraper ### Title and Introduction ## Binance Price History Scraper The Binance Price History Scraper is a powerful Apify Actor designed to extract historical cryptocurrency price data from Binance. It provides accurate, real-time insights into market trends, enabling users to analyze price movements, volumes, and market capitalization over time. This tool is ideal for traders, analysts, and developers seeking reliable data for informed decision-making. ### Features - **Comprehensive Data Extraction**: Scrapes detailed price history including timestamps, prices, volumes, market caps, and percentage changes across multiple timeframes. - **High Accuracy and Reliability**: Leverages Binance's official APIs to ensure data integrity and minimize errors. - **Flexible Time Range Selection**: Allows users to specify start times via Unix timestamps for targeted historical data retrieval. - **JSON Output Format**: Delivers structured, easy-to-parse data suitable for integration into dashboards, databases, or analytics tools. - **Scalable Performance**: Handles large datasets efficiently, with built-in error handling for robust operation. - **No API Keys Required**: Operates without needing personal Binance API credentials, simplifying setup. - **Customizable Inputs**: Supports unique job IDs for tracking and managing multiple scraping tasks. ### Input Parameters Table | Parameter | Type | Required | Description | Example | |------------|---------|----------|-----------------------------------------------------------------------------|------------------| | id | integer | Yes | Unique identifier for the crawl job, used for tracking and logging purposes. | 1 | | time_start | integer | Yes | Unix timestamp indicating the start time for the historical data crawl. | 1772516875 | ### Example Usage #### Example Input JSON ```json { "id": 1, "time_start": 1772516875 } ```` #### Example Output JSON ```json [ { "timestamp": "2026-03-03T06:05:00.000Z", "price": 67933.56451933006, "volume_24h": 54712750688.2, "market_cap": 1358475981388.6082, "total_supply": 19997125, "circulating_supply": 19997125, "percent_change_1h": -0.323726949115, "percent_change_24h": 2.016874325794, "percent_change_7d": 8.020400560257, "percent_change_30d": -13.495359822413 } ] ``` ### Use Cases - **Market Research and Analysis**: Gather historical data to identify trends and predict future price movements in cryptocurrencies. - **Competitive Intelligence**: Monitor competitors' performance by analyzing volume and market cap changes over time. - **Price Monitoring**: Set up automated alerts or dashboards to track price fluctuations for trading strategies. - **Content Aggregation**: Collect data for blogs, reports, or news articles on crypto market developments. - **Academic Research**: Use historical datasets for studies on economic indicators and blockchain technology. - **Business Automation**: Integrate data into ERP systems or financial models for automated reporting and decision-making. ### Installation and Usage 1. Search for "Binance Price History Scraper" in the Apify Store 2. Click "Try for free" or "Run" 3. Configure input parameters 4. Click "Start" to begin extraction 5. Monitor progress in the log 6. Export results in your preferred format (JSON, CSV, Excel) ### Output Format The output is an array of JSON objects, each representing a data point in the price history. Key fields include: - `timestamp`: ISO 8601 formatted date and time of the data point. - `price`: The cryptocurrency price at that timestamp. - `volume_24h`: 24-hour trading volume. - `market_cap`: Total market capitalization. - `total_supply` and `circulating_supply`: Supply metrics. - `percent_change_1h`, `percent_change_24h`, `percent_change_7d`, `percent_change_30d`: Percentage changes over respective periods. This structured format ensures easy parsing and integration into various applications. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: https://getdataforme.com/contact/ We're here to help you get the most out of this Actor! *** ### PART 2: Generate Description (Max 300 characters) Unlock powerful crypto insights with the Binance Price History Scraper! Extract accurate historical price data, volumes, and market caps effortlessly. Key features: flexible time ranges, high-reliability JSON output, and no API keys needed. Perfect for market analysis, trading strategies, and research. Start scraping today on Apify! (248 characters) # Actor input Schema ## `id` (type: `integer`): Unique identifier for the crawl job. ## `time_start` (type: `integer`): Unix timestamp indicating when the crawl should start. ## Actor input object example ```json { "id": 1, "time_start": 1772516875 } ``` # Actor output Schema ## `results` (type: `string`): No description # 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("getdataforme/binance-price-history-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("getdataforme/binance-price-history-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 getdataforme/binance-price-history-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/binance-price-history-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Binance Price History Scraper", "description": "Extract precise historical cryptocurrency price data from Binance with this Apify Actor. Features include flexible time ranges, high-reliability JSON output, and no API keys required. Ideal for market analysis, trading strategies, and research. Start scraping effortlessly today! (218 characters)", "version": "0.0", "x-build-id": "oOihs3MhCbpqkI1rh" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~binance-price-history-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-binance-price-history-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~binance-price-history-scraper/runs": { "post": { "operationId": "runs-sync-getdataforme-binance-price-history-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~binance-price-history-scraper/run-sync": { "post": { "operationId": "run-sync-getdataforme-binance-price-history-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "id": { "title": "ID", "type": "integer", "description": "Unique identifier for the crawl job.", "default": 1 }, "time_start": { "title": "Start Time", "type": "integer", "description": "Unix timestamp indicating when the crawl should start.", "default": 1772516875 } } }, "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", 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