# CryptoPanic News Scraper - Crypto News & Sentiment Data (`trev0n/cryptopanic-news-scraper`) Actor Scrape cryptocurrency news from CryptoPanic with headlines, publication dates, community votes (bullish/bearish), source domains, and affected cryptocurrency tags. Filter by category: hot, rising, bullish, bearish, important, and more. - **URL**: https://apify.com/trev0n/cryptopanic-news-scraper.md - **Developed by:** [Paweł](https://apify.com/trev0n) (community) - **Categories:** News, Developer tools, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $1.00 / 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 ## 📰 CryptoPanic News Scraper 🎯 **Get real-time cryptocurrency news with community sentiment data — headlines, votes, coin tags, and sources — all in one structured dataset.** Automatically extract the latest crypto news from CryptoPanic, the most popular cryptocurrency news aggregator. Each article comes with bullish/bearish votes, affected coin tickers, publication time, and source domain. Perfect for sentiment analysis, trading signals, and market research. ### 🚀 What Does It Do? This scraper collects cryptocurrency news articles from CryptoPanic and delivers **structured, ready-to-use data** with community sentiment metrics. No manual browsing needed — just pick your filter and hit Start. 💡 **Flexible filtering:** - 🔥 **Hot News** — trending articles with the most engagement - 📈 **Rising** — freshly popular news gaining momentum - 🐂 **Bullish / Bearish** — community-voted market sentiment - ⚠️ **Important** — articles flagged as significant by the community - 🪙 **Coin-specific** — filter by BTC, ETH, SOL, or any other coin ### 👥 Who Is This For? | 🏢 Use Case | 💬 How It Helps | | ---------------------------- | ------------------------------------------------------------------------- | | 📊 **Crypto Traders** | Monitor real-time sentiment shifts to inform trading decisions | | 🔬 **Quantitative Analysts** | Feed structured news + vote data into sentiment models and trading bots | | 📰 **Content Creators** | Track trending stories and discover what the crypto community cares about | | 🏦 **Investment Funds** | Aggregate news coverage for portfolio coins with community reaction data | | 🎓 **Researchers** | Build datasets for NLP, sentiment analysis, and crypto market studies | | 📣 **Marketing Teams** | Monitor brand mentions and competitor coverage in the crypto space | ### ✨ Features - 📰 **Full News Feed** — Scrape all recent crypto news with titles, sources, and timestamps - 🗳️ **Community Votes** — Capture bullish, bearish, important, LOL, liked, and disliked vote counts - 🪙 **Coin Tags** — See which cryptocurrencies each article mentions (BTC, ETH, SOL, etc.) - 🔗 **Source Tracking** — Know which publication or domain published each piece - 🎛️ **Smart Filters** — Filter by hot, rising, bullish, bearish, important, LOL, or most commented - 🔍 **Coin Filtering** — Target specific coins (e.g., only BTC and ETH news) - 📰 **Content Type** — Choose between news articles, media posts, or both - 🚫 **No Sponsored Content** — Automatically skips sponsored/promoted posts - ⚡ **Fast & Scalable** — Scrape hundreds of articles in a single run with pagination support - 🔄 **Deduplication** — Never get duplicate articles, even across multiple pages - 📤 **Export Anywhere** — Download results as JSON, CSV, Excel, or push to Google Sheets, Zapier, Make, or your CRM ### 🎛️ Filters & Options | Option | What It Does | | -------------------------- | ---------------------------------------------------------------------------------------- | | 📰 **News Filter** | Choose news category: all, hot, rising, bullish, bearish, important, LOL, most commented | | 📋 **News Kind** | Filter by content type: all, news articles only, or media posts only | | 🪙 **Coins Filter** | Show only news for specific coins (e.g., BTC,ETH,SOL) | | 🔢 **Max Items** | Control how many articles to extract per run | | 📄 **Max Pages** | Limit how many pages of results to load | | ⚙️ **Max Concurrency** | Adjust parallel processing speed | | 🌐 **Proxy Configuration** | Use proxies to avoid rate limiting | ### 📦 What You Get (Output Fields) Every news article includes: #### 📰 Article Info | Field | Example | | ----------------- | ------------------------------------------------------------------- | | headline | `Bitcoin Surges Past $100K as ETF Inflows Hit Record High` | | url | `https://cryptopanic.com/news/31335287/Bitcoin-Surges-Past-100K...` | | source | `coindesk.com` | | publishedAt | `Thu Apr 09 2026 12:55:24 GMT+0200` | | publishedRelative | `2h` | #### 🪙 Cryptocurrency Tags | Field | Example | | ----- | ---------------- | | coins | `["BTC", "ETH"]` | #### 🗳️ Community Votes | Field | Example | | -------------- | ------- | | votesPositive | `12` | | votesNegative | `3` | | votesImportant | `5` | | votesLol | `1` | | votesLiked | `8` | | votesDisliked | `2` | | votesToxic | `0` | | votesSaved | `4` | #### 💬 Engagement | Field | Example | | ------------- | -------------------------- | | commentsCount | `7` | | scrapedAt | `2026-04-09T12:00:00.000Z` | ### 📊 Example Output ```json { "headline": "Exclusive: $250M Asset Manager Breaks Down Morgan Stanley's Bitcoin ETF Impact", "url": "https://cryptopanic.com/news/31297160/Exclusive-250M-Asset-Manager-Breaks-Down-Morgan-Stanleys-Bitcoin-ETF-Impact", "source": "techgaged.com", "publishedAt": "Wed Apr 08 2026 10:28:21 GMT+0200 (Central European Summer Time)", "publishedRelative": "1d", "coins": ["BTC"], "votesPositive": 3, "votesNegative": 0, "votesImportant": 3, "votesLol": 2, "votesLiked": 3, "votesDisliked": 0, "votesToxic": 0, "votesSaved": 0, "commentsCount": 0, "scrapedAt": "2026-04-09T11:08:19.221Z" } ```` ### 📋 Dataset Views The Apify Console gives you **2 ready-made table views** to quickly browse your results: | View | What It Shows | | --------------- | ----------------------------------------------------------- | | 📊 **Overview** | Headline, time, source, coins, positive/negative votes, URL | | 📋 **Detailed** | Every single field — all vote types, comments, timestamps | ### ❓ FAQ **🤔 What is CryptoPanic?** CryptoPanic is the most popular cryptocurrency news aggregator where users vote on articles as bullish, bearish, important, or funny. It's the go-to source for real-time crypto sentiment. **🤔 How accurate are the sentiment votes?** Votes reflect the CryptoPanic community's real-time reaction. Articles with more votes generally provide stronger sentiment signals — great for quantitative analysis and trading models. **🤔 Can I filter news for specific coins?** Yes — enter coin symbols like BTC,ETH,SOL in the Coins Filter field to only get news mentioning those specific cryptocurrencies. **🤔 How many articles can I scrape per run?** Each page loads ~50-60 articles. With pagination (Load More), you can easily collect 500+ articles per run. **🤔 Can I export the data?** Yes — JSON, CSV, Excel, XML, HTML, RSS. You can also push data directly to Google Sheets, Zapier, Make, or any webhook/API endpoint. **🤔 How often should I run this?** For fresh data, run daily or weekly. You can schedule automatic runs on Apify with just a few clicks. **🤔 Does it work with proxies?** Yes — residential proxies are recommended for the best results. The scraper works with Apify's built-in proxy service. ### 🛠️ Need Custom Filters or Features? **I'm happy to customize this scraper for your specific needs!** 🤝 Whether you need: - 🎯 Additional filters (specific date ranges, minimum vote thresholds, particular sources) - 📊 Extra data fields or custom output formats - 🔄 Integration with your CRM, Google Sheets, or database - ⏰ Scheduled scraping with automatic deduplication - 🌐 Scraping from other crypto news platforms alongside CryptoPanic 👉 **Don't hesitate to reach out via private message** — I respond quickly and I'm always open to building exactly what you need. No request is too small or too specific! ### ⚖️ Legal & Ethical Use This scraper collects **only publicly available information** from CryptoPanic. It does not access private data, bypass authentication, or interact with user accounts. Please use the data responsibly and in compliance with applicable laws and platform terms of service. # Actor input Schema ## `filter` (type: `string`): Filter news by category. 'all' returns all recent news. ## `kind` (type: `string`): Type of content to scrape. ## `coins` (type: `string`): Comma-separated list of coin symbols to filter by (e.g., BTC,ETH,SOL). Leave empty for all coins. ## `maxItems` (type: `integer`): Maximum number of news articles to scrape. CryptoPanic limits to ~750 articles per session. ## `maxPages` (type: `integer`): Maximum number of 'Load more' clicks. Each click loads ~50 articles. ## `maxConcurrency` (type: `integer`): Maximum number of pages to process in parallel. ## `proxyConfiguration` (type: `object`): Proxy settings for the scraper. Not required — works without proxy on Apify. ## Actor input object example ```json { "filter": "all", "kind": "all", "maxItems": 100, "maxPages": 20, "maxConcurrency": 1 } ``` # Actor output Schema ## `overview` (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("trev0n/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 ``` ## 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("trev0n/cryptopanic-news-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 trev0n/cryptopanic-news-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=trev0n/cryptopanic-news-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "CryptoPanic News Scraper - Crypto News & Sentiment Data", "description": "Scrape cryptocurrency news from CryptoPanic with headlines, publication dates, community votes (bullish/bearish), source domains, and affected cryptocurrency tags. Filter by category: hot, rising, bullish, bearish, important, and more.", "version": "1.0", "x-build-id": "v1n3kGRS4Co7udqv8" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/trev0n~cryptopanic-news-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-trev0n-cryptopanic-news-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/trev0n~cryptopanic-news-scraper/runs": { "post": { "operationId": "runs-sync-trev0n-cryptopanic-news-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/trev0n~cryptopanic-news-scraper/run-sync": { "post": { "operationId": "run-sync-trev0n-cryptopanic-news-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "filter": { "title": "News Filter", "enum": [ "all", "hot", "rising", "bullish", "bearish", "important", "lol", "commented", "saved" ], "type": "string", "description": "Filter news by category. 'all' returns all recent news.", "default": "all" }, "kind": { "title": "News Kind", "enum": [ "all", "news", "media" ], "type": "string", "description": "Type of content to scrape.", "default": "all" }, "coins": { "title": "Coins Filter", "type": "string", "description": "Comma-separated list of coin symbols to filter by (e.g., BTC,ETH,SOL). Leave empty for all coins." }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 750, "type": "integer", "description": "Maximum number of news articles to scrape. CryptoPanic limits to ~750 articles per session.", "default": 100 }, "maxPages": { "title": "Max Pages", "minimum": 1, "maximum": 200, "type": "integer", "description": "Maximum number of 'Load more' clicks. Each click loads ~50 articles.", "default": 20 }, "maxConcurrency": { "title": "Max Concurrency", "minimum": 1, "maximum": 5, "type": "integer", "description": "Maximum number of pages to process in parallel.", "default": 1 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for the scraper. Not required — works without proxy on Apify." } } }, "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 } } } } } } } } } } ```