# CoinGecko Trending Coins and Search Queries Radar (`adaptive_nightmare/coingecko-trending-coins-radar`) Actor

Extract CoinGecko Trending Coins and Search Queries data in clean JSON or CSV. Query by includeCategories, maxCoins for records, engagement metrics, and metadata. Export datasets, run via API or Python/Node.js SDK, schedule runs, or integrate with webhooks with zero proxy fees.

- **URL**: https://apify.com/adaptive_nightmare/coingecko-trending-coins-radar.md
- **Developed by:** [Darim Quraishi](https://apify.com/adaptive_nightmare) (community)
- **Categories:** Business, Automation, Developer tools
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$0.85 / 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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## CoinGecko Trending Coins and Search Queries Radar

Extract top trending cryptocurrencies, viral search queries, market cap ranks, price changes, and trending market sectors from CoinGecko without API keys.

### Features

- Scrapes the official CoinGecko trending feed capturing the most queried coins in real time.
- Captures token names, trading symbols, market cap rankings, and 24-hour USD price changes.
- Retrieves high-resolution asset logo URLs and 7-day sparkline charts.
- Collects trending market categories (such as AI, layer 1, or decentralized finance).
- Operates via public JSON endpoints without API registration tokens or proxy configurations.
- Delivers clean records formatted for export to JSON, CSV, Excel, or automated trading feeds.

### Input parameters

- Include Trending Categories: Boolean flag to include fastest growing market sectors. Default is true.
- Maximum Coins: Maximum number of trending token entries to collect. Default is 15.

### Output dataset fields

Each dataset record contains:

- recordType: Classification of record (trending_coin or trending_category).
- id: Canonical CoinGecko identifier slug.
- name: Full asset or sector title.
- symbol: Ticker symbol (such as BTC, ETH, or SOL).
- marketCapRank: Global market capitalization standing.
- priceUsd: Approximate spot exchange rate in USD.
- priceChange24hUsd: Percentage price change across the preceding 24 hours.
- totalVolumeUsd: Aggregate 24-hour trading turnover in USD.
- sparklineUrl: Direct URL to the weekly price trend sparkline graphic.
- largeLogoUrl: Vector or high-resolution token icon URL.
- coingeckoUrl: Direct link to the asset profile on coingecko.com.
- scrapedAt: UTC timestamp when the data was extracted.

### Use cases

- Market sentiment tracking: Detect emerging meme tokens and breakout protocols before retail exchange listings.
- Social investing bots: Feed trending coins into automated Twitter, Telegram, or Discord market alerts.
- Portfolio research: Monitor rotating capital flow across trending decentralized finance sectors.

# Actor input Schema

## `includeCategories` (type: `boolean`):

Include fastest growing cryptocurrency market categories.

## `maxCoins` (type: `integer`):

Maximum number of trending tokens to collect.

## Actor input object example

```json
{
  "includeCategories": true,
  "maxCoins": 15
}
```

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("adaptive_nightmare/coingecko-trending-coins-radar").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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("adaptive_nightmare/coingecko-trending-coins-radar").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).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 adaptive_nightmare/coingecko-trending-coins-radar --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,adaptive_nightmare/coingecko-trending-coins-radar"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/hmX81RJBnCgmfbYU7/builds/yr5oG4izRTmgVTjE4/openapi.json