# CoinDesk News Scraper (`lulzasaur/coindesk-scraper`) Actor Scrape CoinDesk crypto news articles with full text, author, date, tags, and category. Filter by section (markets, policy, tech, consensus) or search query. Structured JSON-LD extraction. - **URL**: https://apify.com/lulzasaur/coindesk-scraper.md - **Developed by:** [lulz bot](https://apify.com/lulzasaur) (community) - **Categories:** Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 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 ## CoinDesk News Scraper Scrape CoinDesk articles and crypto news with full article text, author information, publication dates, tags, and categories. ### Features - **Full article extraction** — title, subtitle, body text, author, date, tags, image - **Section filtering** — browse Markets, Policy, Tech, or Consensus Magazine - **Search** — find articles by keyword (e.g. "bitcoin ETF", "ethereum merge") - **JSON-LD extraction** — uses CoinDesk's structured data for reliable parsing - **Batch processing** — scrape up to 500 articles per run ### Input | Field | Type | Description | |-------|------|-------------| | `searchQuery` | string | Search term for articles. Leave empty to browse by section. | | `section` | select | Filter by section: all, markets, policy, tech, consensus-magazine | | `maxResults` | integer | Maximum articles to scrape (1-500, default 50) | | `proxyConfiguration` | object | Optional proxy configuration | ### Output Each article in the dataset contains: ```json { "title": "Bitcoin Falls After Trump Tariff Announcement", "subtitle": "The crypto market reacted sharply to new trade tensions", "author": "Will Canny", "authors": [ { "name": "Will Canny", "jobTitle": "Finance Reporter", "url": "https://www.coindesk.com/author/will-canny" } ], "section": "markets", "publishedAt": "2026-04-25T18:53:48.734Z", "modifiedAt": "2026-04-25T19:00:36.313Z", "url": "https://www.coindesk.com/markets/2026/04/25/bitcoin-falls-...", "body": "Full article text here...", "bodyLength": 2847, "tags": ["Bitcoin", "Donald Trump", "Markets"], "image": "https://www.coindesk.com/resizer/...", "scrapedAt": "2026-04-25T20:00:00.000Z" } ```` ### Output fields | Field | Description | |-------|-------------| | `title` | Article headline | | `subtitle` | Article subtitle/abstract | | `author` | Author name(s), comma-separated | | `authors` | Array of author objects with name, jobTitle, url | | `section` | CoinDesk section (markets, policy, tech, etc.) | | `publishedAt` | ISO 8601 publication timestamp | | `modifiedAt` | ISO 8601 last modified timestamp | | `url` | Full article URL | | `body` | Full article body text | | `bodyLength` | Character count of body text | | `tags` | Array of article tags/topics | | `image` | Featured image URL | | `scrapedAt` | When the scrape was performed | ### Use cases - **Crypto market research** — track news sentiment across Bitcoin, Ethereum, altcoins - **Regulatory tracking** — monitor crypto policy and regulation news - **Content aggregation** — build crypto news feeds and dashboards - **Sentiment analysis** — analyze article text for market sentiment signals - **Historical research** — collect article archives by topic or section ### Example usage #### Browse latest market news ```json { "section": "markets", "maxResults": 20 } ``` #### Search for Bitcoin ETF articles ```json { "searchQuery": "bitcoin ETF", "maxResults": 100 } ``` #### Scrape all sections ```json { "section": "all", "maxResults": 200 } ``` ### Notes - CoinDesk uses Next.js with server-side rendering. The scraper extracts JSON-LD structured data from article pages for reliable data extraction. - Rate limiting is built in to avoid overwhelming the server. - Body text extraction uses multiple fallback strategies for maximum coverage. - Articles are deduplicated by URL before scraping. # Actor input Schema ## `searchQuery` (type: `string`): Search term for articles (e.g. 'bitcoin ETF', 'ethereum merge'). Leave empty to browse by section. ## `section` (type: `string`): Filter articles by CoinDesk section. ## `maxResults` (type: `integer`): Maximum number of articles to scrape. ## `proxyConfiguration` (type: `object`): Optional proxy to use for requests. ## Actor input object example ```json { "searchQuery": "", "section": "all", "maxResults": 50 } ``` # 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("lulzasaur/coindesk-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("lulzasaur/coindesk-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 lulzasaur/coindesk-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lulzasaur/coindesk-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "CoinDesk News Scraper", "description": "Scrape CoinDesk crypto news articles with full text, author, date, tags, and category. Filter by section (markets, policy, tech, consensus) or search query. Structured JSON-LD extraction.", "version": "1.0", "x-build-id": "jKNoPToAAM5TuN9TT" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lulzasaur~coindesk-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lulzasaur-coindesk-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lulzasaur~coindesk-scraper/runs": { "post": { "operationId": "runs-sync-lulzasaur-coindesk-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lulzasaur~coindesk-scraper/run-sync": { "post": { "operationId": "run-sync-lulzasaur-coindesk-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchQuery": { "title": "Search Query", "type": "string", "description": "Search term for articles (e.g. 'bitcoin ETF', 'ethereum merge'). Leave empty to browse by section.", "default": "" }, "section": { "title": "Section", "enum": [ "all", "markets", "policy", "tech", "consensus-magazine" ], "type": "string", "description": "Filter articles by CoinDesk section.", "default": "all" }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of articles to scrape.", "default": 50 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional proxy to use for requests." } } }, "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 } } } } } } } } } } ```