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How to Scrape CryptoPanic News in Node.js

This example shows how to scrape CryptoPanic news using a pre-built Apify actor — no scraper setup required. Just call the actor via the Apify API and get structured crypto news data back in seconds.

CryptoPanic scraper results

What this example does

  • Calls the piotrv1001/cryptopanic-news-scraper Apify actor
  • Passes an input configuration to the actor
  • Waits for the run to complete
  • Fetches results from the actor's dataset
  • Prints each news item to the console

Prerequisites

Installation

npm install

Environment setup

Copy .env.example to .env and add your Apify API token:

cp .env.example .env

Then open .env and replace your_apify_token_here with your actual token from the Apify console.

Usage

npm start

Code example

import { ApifyClient } from 'apify-client';
import 'dotenv/config';

// Initialize the ApifyClient with your Apify API token
// Set APIFY_TOKEN in your .env file (copy .env.example to get started)
const client = new ApifyClient({
    token: process.env.APIFY_TOKEN,
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("piotrv1001/cryptopanic-news-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

Example output

See sample-output.json for a full example. Each result item contains:

Field Description
title Headline of the news article
date Relative publication date (e.g. "4w", "2d")
coins Array of related coin ticker symbols (e.g. ["BTC", "ETH"])
votes Array of vote counts by category (positive, negative, important, etc.)
source Domain of the original article

Use cases

  • Crypto sentiment analysis — aggregate vote data across news items to gauge market sentiment
  • Coin-specific news feeds — filter results by coin ticker to build targeted feeds for BTC, ETH, or any altcoin
  • Trading signal pipelines — feed scraped headlines and vote counts into NLP or ML models
  • Portfolio monitoring — track news mentions for coins you hold and get alerts on high-vote articles
  • Research and journalism — collect structured crypto news data at scale for analysis or reporting

Try the actor on Apify

Open the CryptoPanic News Scraper on Apify

Related resources

License

MIT