# CryptoPanic News Scraper - Low-costπŸ’²πŸ”₯πŸͺ™πŸ—οΈ (`delectable_incubator/cryptopanic-news-scraper-low-cost`) Actor Scrape CryptoPanic crypto news πŸͺ™πŸ”Ž with a powerful cryptocurrency news scraper. Extract news titles, sources, publication dates, sentiment votes, mentioned cryptocurrencies, and URLs in real time. Ideal for trading signals, sentiment analysis, crypto monitoring, and market trend analytics πŸ“ŠπŸš€ - **URL**: https://apify.com/delectable\_incubator/cryptopanic-news-scraper-low-cost.md - **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community) - **Categories:** News, SEO tools, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.00005 / actor start This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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

--- ### CryptoPanic News Scraper πŸͺ™πŸ“ŠπŸ”Ž The CryptoPanic News Scraper is a powerful and scalable Apify Actor designed to extract structured cryptocurrency news data directly from CryptoPanic public feeds. It enables crypto market monitoring, sentiment analysis, trading intelligence, trend detection, news aggregation, and structured dataset generation for analysts, traders, researchers, and crypto startups. --- ### 🎯 What This Scraper Does Simply configure categories and filters and the scraper handles everything automatically. βœ… Extracts structured cryptocurrency news data βœ… Supports multiple categories and filters βœ… Dynamically combines category + filter combinations βœ… Collects sentiment and engagement signals βœ… Extracts crypto mentions and metadata βœ… Automatically handles feed loading βœ… Generates clean and structured datasets βœ… Ready for trading and analytics workflows βœ… Export-ready output format --- ### πŸ“Š Data Extracted πŸ“° Crypto News Information | Field | Description | | ------------------ | ---------------------------------------- | | πŸ”‘ `newsId` | Unique CryptoPanic news identifier | | πŸ“° `title` | News headline | | πŸ”— `detailUrl` | Direct CryptoPanic article URL | | 🌐 `source` | Original news source | | 🧩 `sourceType` | Source type (media, blog, website, etc.) | | πŸ“„ `rowType` | Content type | | πŸ“… `publishedDate` | Original publication date | | ⏱️ `publishedAgo` | Relative publication time | | πŸ’± `currencies` | Mentioned cryptocurrencies | | πŸ‘ `votes` | Community sentiment & engagement data | --- ### πŸ›  How to Use 1️⃣ Configure Input Select categories and filters: ```` { "categories": \["top-news", "price-analysis"], "filters": \["hot", "bullish"], "maxitems": 100 } ``` 2️⃣ Run the Actor β€’ Loads CryptoPanic news feeds β€’ Applies category and filter combinations β€’ Extracts structured crypto news data β€’ Collects sentiment and engagement metrics β€’ Stops automatically when limits are reached 3️⃣ Export the Dataset Download your results in multiple formats: βœ… JSON βœ… CSV βœ… Excel βœ… XML βœ… HTML --- ### βš™οΈ Input Configuration #### πŸ“₯ Input Example ``` { "categories": \["top-news"], "filters": \["show-all"], "maxitems": 100 } ``` #### Input Fields | Field | Type | Description | | ------------ | ------- | --------------------------------------- | | `categories` | array | List of CryptoPanic news categories | | `filters` | array | Filters applied to each category | | `maxitems` | integer | Maximum number of news items to extract | --- ### πŸ“€ Output Example ``` { "newsId": "30449715", "title": "Vitalik Buterin promotes an update simplifying Ethereum node software", "detailUrl": "https://cryptopanic.com/news/30449715/Vitalik-Buterin-promotes-an-update-simplifying-Ethereum-node-software", "source": "cointelegraph.com", "sourceType": "link", "rowType": "link", "publishedDate": "Sun Mar 15 2026 12:47:31 GMT-0400 (Eastern Daylight Time)", "publishedAgo": "2w", "currencies": \[ "ETH" ], "votes": { "positive": 6, "negative": 1, "important": 3, "comments": 0, "liked": 1, "disliked": 0, "saved": 0, "lol": 1 } } ```` --- ### πŸ“Š Output explanation | Use Case | Description | | -------------------------- | ----------------------------------------------------- | | πŸ“ˆ Crypto Market Analysis | Monitor Bitcoin, Ethereum, and altcoin news trends | | πŸ“Š Sentiment Analysis | Measure bullish and bearish community sentiment | | πŸ€– Trading Signals | Feed structured news into trading bots and algorithms | | 🏒 Research & Intelligence | Track narratives, sources, and market developments | | πŸš€ Trend Detection | Identify emerging crypto topics early | --- ### 🌍 Why Use This Scraper? πŸͺ™ Monitor cryptocurrency news at scale πŸ“Š Analyze crypto sentiment and engagement signals ⚑ Extract structured data from live CryptoPanic feeds 🌍 Track multiple crypto categories simultaneously πŸ€– Automation-ready for recurring monitoring πŸ“¦ Bulk extraction support for large datasets 🧠 Designed for traders, analysts, and research teams πŸš€ Scalable for both small and enterprise workflows --- ### ❓ FAQ How does this scraper work? The scraper loads CryptoPanic news feeds and extracts structured cryptocurrency news data including headlines, publication times, sources, crypto mentions, and sentiment metrics. Can I scrape multiple categories in one run? Yes. You can provide multiple categories and filters that will automatically be combined during extraction. Does the scraper collect sentiment data? Yes. The Actor extracts community voting and engagement signals including positive, negative, important, liked, disliked, and comment counts. Can I monitor crypto trends over time? Yes. You can schedule recurring Apify runs daily or hourly to continuously monitor crypto news and market narratives. Is the data collected live? Yes. Data is extracted directly from live CryptoPanic feeds during every run. What export formats are supported? You can export data as JSON, CSV, Excel, XML, and HTML. Can I use the extracted data commercially? Yes. The extracted data can be used for analytics, trading systems, research, automation workflows, and commercial applications. What happens if the scraper fails? The Actor includes retry mechanisms and automated error handling to improve extraction reliability. How long does a run take? Small extractions usually finish within seconds. Larger multi-category scraping runs may take several minutes depending on volume. --- ### πŸš€ How to Use 1️⃣ Sign up β€” Create a free Apify account 2️⃣ Find the tool β€” Search for "CryptoPanic News Scraper" in the Apify Store 3️⃣ Configure categories β€” Add categories, filters, and extraction limits 4️⃣ Run it β€” Start the Actor and wait for extraction 5️⃣ Export data β€” Download results in JSON, CSV, Excel, XML, or HTML --- ### ⚠️ Disclaimer This tool is an independent solution and is not affiliated with, endorsed by, or sponsored by CryptoPanic. --- ### πŸ’Έ Pricing This scraper runs on a **pay per events subscription model**. You only pay for **successful runs**. πŸ’³ **Price:** $0.79 / 1000 results --- ### Related Actors If you're interested in other Crypto, Finance, News, Trading, Marketplace, Jobs, Real Estate, or Analytics scraping solutions, explore more tools: (Coming soon) --- ### πŸ“¬ Support ⭐⭐⭐⭐⭐ Leave a 5-star rating if you like this tool --- ### 🌍 PrimeScrape Built for scalable web data extraction & automation Contact for custom scraping solutions or enterprise requests via Apify or by email. # Actor input Schema ## `categories` (type: `array`): One or more news categories to scrape. The scraper will scroll each selected category until maxitems is reached. Available categories: β€’ top-news β€” Top News (default) β€’ all β€” All News β€’ media β€” Media (YouTube, videos) β€’ blogs β€” Blogs β€’ news-sites β€” News Sites β€’ following β€” Following β€’ price-analysis β€” Price Analysis β€’ regulation β€” Regulation β€’ ico-news β€” ICO News β€’ events β€” Events ## `filters` (type: `array`): One or more filters to apply. Each selected filter is combined with every selected category. Available filters: β€’ show-all β€” Show all (no filter) β€’ commented β€” Most commented β€’ hot β€” Hot! β€’ rising β€” Rising β€’ bullish β€” Bullish sentiment β€’ bearish β€” Bearish sentiment β€’ important β€” Important β€’ lol β€” LOL β€’ saved β€” Top Saved ## `maxitems` (type: `integer`): Maximum number of news items to collect per (category, filter) combination. ## Actor input object example ```json { "categories": [ "top-news" ], "filters": [ "show-all" ], "maxitems": 100 } ```` # 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 = { "categories": [ "top-news" ], "filters": [ "show-all" ], "maxitems": 100 }; // Run the Actor and wait for it to finish const run = await client.actor("delectable_incubator/cryptopanic-news-scraper-low-cost").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "categories": ["top-news"], "filters": ["show-all"], "maxitems": 100, } # Run the Actor and wait for it to finish run = client.actor("delectable_incubator/cryptopanic-news-scraper-low-cost").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "categories": [ "top-news" ], "filters": [ "show-all" ], "maxitems": 100 }' | apify call delectable_incubator/cryptopanic-news-scraper-low-cost --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=delectable_incubator/cryptopanic-news-scraper-low-cost", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "CryptoPanic News Scraper - Low-costπŸ’²πŸ”₯πŸͺ™πŸ—οΈ", "description": "Scrape CryptoPanic crypto news πŸͺ™πŸ”Ž with a powerful cryptocurrency news scraper. Extract news titles, sources, publication dates, sentiment votes, mentioned cryptocurrencies, and URLs in real time. Ideal for trading signals, sentiment analysis, crypto monitoring, and market trend analytics πŸ“ŠπŸš€", "version": "0.0", "x-build-id": "Z4cMSAyAC9MfLIrjk" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/delectable_incubator~cryptopanic-news-scraper-low-cost/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-delectable_incubator-cryptopanic-news-scraper-low-cost", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/delectable_incubator~cryptopanic-news-scraper-low-cost/runs": { "post": { "operationId": "runs-sync-delectable_incubator-cryptopanic-news-scraper-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/delectable_incubator~cryptopanic-news-scraper-low-cost/run-sync": { "post": { "operationId": "run-sync-delectable_incubator-cryptopanic-news-scraper-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "categories", "filters", "maxitems" ], "properties": { "categories": { "title": "Categories πŸ“‚", "type": "array", "description": "One or more news categories to scrape. The scraper will scroll each selected category until maxitems is reached.\n\nAvailable categories:\nβ€’ top-news β€” Top News (default)\nβ€’ all β€” All News\nβ€’ media β€” Media (YouTube, videos)\nβ€’ blogs β€” Blogs\nβ€’ news-sites β€” News Sites\nβ€’ following β€” Following\nβ€’ price-analysis β€” Price Analysis\nβ€’ regulation β€” Regulation\nβ€’ ico-news β€” ICO News\nβ€’ events β€” Events", "items": { "type": "string", "enum": [ "top-news", "all", "media", "blogs", "news-sites", "following", "price-analysis", "regulation", "ico-news", "events" ], "enumTitles": [ "Top News", "All News", "Media", "Blogs", "News Sites", "Following", "Price Analysis", "Regulation", "ICO News", "Events" ] }, "default": [ "top-news" ] }, "filters": { "title": "Filters πŸ”½", "type": "array", "description": "One or more filters to apply. Each selected filter is combined with every selected category.\n\nAvailable filters:\nβ€’ show-all β€” Show all (no filter)\nβ€’ commented β€” Most commented\nβ€’ hot β€” Hot!\nβ€’ rising β€” Rising\nβ€’ bullish β€” Bullish sentiment\nβ€’ bearish β€” Bearish sentiment\nβ€’ important β€” Important\nβ€’ lol β€” LOL\nβ€’ saved β€” Top Saved", "items": { "type": "string", "enum": [ "show-all", "commented", "hot", "rising", "bullish", "bearish", "important", "lol", "saved" ], "enumTitles": [ "Show All", "Commented", "Hot!", "Rising", "Bullish", "Bearish", "Important", "LOL", "Top Saved" ] }, "default": [ "show-all" ] }, "maxitems": { "title": "Max Items per Category+Filter βš™οΈ", "type": "integer", "description": "Maximum number of news items to collect per (category, filter) combination.", "default": 100 } } }, "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 } } } } } } } } } } ```