# MEXC Crypto Ticker Scraper - Prices, 24h Change & Volume (`ninhothedev/mexc-scraper`) Actor $0.5/1K 🔥 MEXC crypto scraper! Price, 24h change & volume for 2000+ spot pairs. No key. JSON, CSV, Excel or API in seconds. Track markets for trading, bots & portfolios ⚡ - **URL**: https://apify.com/ninhothedev/mexc-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 ## MEXC Crypto Ticker Scraper Scrape live **MEXC** spot-market data for **every trading pair** in one run: last price, 24h price change, 24h change %, 24h high/low, best bid/ask, and both base and quote 24h volume. It pulls straight from MEXC's **public REST API** — **no API key, no login, no wallet connection** required. Fast, cheap, and reliable: one clean HTTP request returns 2,000+ spot tickers, which the actor normalizes into flat, analysis-ready JSON records. ### What you get One dataset item per trading pair, for example: ```json { "symbol": "BTCUSDT", "last_price": 63956.59, "open": 64772.19, "price_change": -815.6, "change_pct_24h": -1.25, "high_24h": 65808.36, "low_24h": 63737.16, "bid": 63945.81, "ask": 63945.82, "base_volume_24h": 7720.50198394, "quote_volume_24h": 500330164.12, "source": "mexc", "scraped_at": "2026-07-24T18:00:00+00:00" } ```` > **Note on `change_pct_24h`:** MEXC's raw API returns `priceChangePercent` as a > **fraction** (e.g. `-0.0125`). This actor normalizes it to a human-readable > **percent number** (`-1.25`), rounded to 2 decimals, so you can use it directly. ### Output fields | Field | Description | |-------|-------------| | `symbol` | Trading pair, e.g. `BTCUSDT` | | `last_price` | Last traded price | | `open` | 24h open price | | `price_change` | Absolute 24h price change | | `change_pct_24h` | 24h change as a percent number (normalized, 2 dp) | | `high_24h` | 24h high | | `low_24h` | 24h low | | `bid` | Best bid price | | `ask` | Best ask price | | `base_volume_24h` | 24h volume in base asset | | `quote_volume_24h` | 24h volume in quote asset | | `source` | Always `mexc` | | `scraped_at` | UTC ISO timestamp of the scrape | All numeric fields are nullable and safely coerced to floats. ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `mode` | select | `tickers` | Scrape mode. `tickers` = all spot pairs | | `symbolFilter` | string | – | Case-insensitive substring filter, e.g. `USDT`, `BTC` | | `maxItems` | integer | `500` | Max records to return (cap `5000`) | Example input: ```json { "mode": "tickers", "symbolFilter": "USDT", "maxItems": 500 } ``` ### Use cases - **Crypto trading** — feed a live snapshot of MEXC prices and spreads into your strategy. - **Market monitoring** — track 24h movers, volume spikes, and top gainers/losers. - **Trading bots** — poll normalized tickers for automated buy/sell signals. - **Portfolio tracking** — value holdings and monitor P\&L across hundreds of pairs. ### Pricing Extremely cheap to run: a full scrape of every MEXC spot pair costs roughly **~$0.5 per 1,000 results** in platform usage — a single request covers the entire exchange. ### Related actors If you trade across exchanges, check out the rest of the collection: - [OKX Crypto Ticker Scraper](https://apify.com/ninhothedev/okx-scraper) - [Gate.io Crypto Ticker Scraper](https://apify.com/ninhothedev/gateio-scraper) - [HTX (Huobi) Crypto Ticker Scraper](https://apify.com/ninhothedev/htx-scraper) - [KuCoin Crypto Ticker Scraper](https://apify.com/ninhothedev/kucoin-scraper) ### Disclaimer This actor only accesses **public** MEXC market data. It does not place trades, access accounts, or handle funds. Not financial advice. # Actor input Schema ## `mode` (type: `string`): What to scrape. Currently 'tickers' returns 24h ticker statistics (price, change, volume) for all MEXC spot trading pairs. ## `symbolFilter` (type: `string`): Optional case-insensitive substring filter applied to each symbol. For example 'USDT' returns only USDT-quoted pairs, 'BTC' returns all BTC markets. Leave empty to return every pair. ## `maxItems` (type: `integer`): Maximum number of ticker records to push to the dataset (after filtering). Default 500, hard cap 5000. ## Actor input object example ```json { "mode": "tickers", "symbolFilter": "USDT", "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/mexc-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/mexc-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/mexc-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ninhothedev/mexc-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "MEXC Crypto Ticker Scraper - Prices, 24h Change & Volume", "description": "$0.5/1K 🔥 MEXC crypto scraper! Price, 24h change & volume for 2000+ spot pairs. No key. JSON, CSV, Excel or API in seconds. Track markets for trading, bots & portfolios ⚡", "version": "0.1", "x-build-id": "bq9d4vSOtcSZSaeEt" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ninhothedev~mexc-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ninhothedev-mexc-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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~mexc-scraper/runs": { "post": { "operationId": "runs-sync-ninhothedev-mexc-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~mexc-scraper/run-sync": { "post": { "operationId": "run-sync-ninhothedev-mexc-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": { "mode": { "title": "Scrape mode", "enum": [ "tickers" ], "type": "string", "description": "What to scrape. Currently 'tickers' returns 24h ticker statistics (price, change, volume) for all MEXC spot trading pairs.", "default": "tickers" }, "symbolFilter": { "title": "Symbol filter (substring)", "type": "string", "description": "Optional case-insensitive substring filter applied to each symbol. For example 'USDT' returns only USDT-quoted pairs, 'BTC' returns all BTC markets. Leave empty to return every pair." }, "maxItems": { "title": "Maximum items", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum number of ticker records to push to the dataset (after filtering). Default 500, hard cap 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 } } } } } } } } } } ```