# Cointelegraph Scraper (`dadhalfdev/cointelegraph-scraper`) Actor Want to track the latest breaking news and narrative shifts across the crypto space? This Cointelegraph scraper makes it super easy! Just choose your favorite section or topic (Latest News, Markets, Bitcoin, Ethereum, Regulation, and more), and the scraper will extract up to 200 full articles. - **URL**: https://apify.com/dadhalfdev/cointelegraph-scraper.md - **Developed by:** [Marco Rodrigues](https://apify.com/dadhalfdev) (community) - **Categories:** News, Other - **Stats:** 3 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 results 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 ## 📰 Cointelegraph Crypto News Scraper Want to track the latest breaking news and narrative shifts across the crypto space? This **[Cointelegraph](https://cointelegraph.com/)** scraper makes it super easy! Just **choose your favorite section or topic** (Latest News, Markets, Bitcoin, Ethereum, Regulation, and more), and the scraper will extract up to 200 full articles, neatly packing headlines, full text, and publication dates into a CSV or JSON file. ![Cointelegraph Website](https://i.postimg.cc/283NWx0M/Screenshot-From-2026-03-23-18-43-11.png) ### 💡 Perfect for... - **Trading & Market Desks:** Track breaking headlines and narrative shifts around major tokens and macro trends as structured time series. - **Sentiment & NLP Pipelines:** Run classifiers or LLMs on titles, descriptions, and full article bodies to score fear/greed, controversy, or entity mentions over time. - **Crypto Bots & Alerts:** Feed fresh URLs and summaries into Telegram/Discord bots or trading assistants. - **Data Analysts:** Download clean, structured data for visualizations, dashboards, or predictive market models. - **📚 RAG Systems:** Chunk `content` and metadata into vector stores so agents can answer "What did Cointelegraph say about Bitcoin last week?" with citations. - **🔗 AI Workflows:** Integrate seamlessly with LangChain, OpenClaw, Claude Code and other AI frameworks that need structured news data. ### ✨ Why you'll love this scraper - 🎯 **Editorial Sections & Tags:** Choose from Cointelegraph areas like Latest News, Markets, Bitcoin, Blockchain, Ethereum, Altcoins, or Regulation. The scraper automatically maps them to the right listing URLs. - ⚙️ **Deep Content Extraction:** Extracts not just the headline, but the full article body, author details, short description, and formatted publication dates. - ⏱️ **Listing Depth:** Automatically scrolls the category feed and listens to the background API to quickly collect article links to meet your exact needs. - 👤 **Clean Structured Data:** Returns highly structured data ready for immediate analysis, bypassing the need to parse raw HTML. ### 📦 What's inside the data? For every single article, you will get: - **Core Details:** `url` (Link), `title`, `description`, `published_date`, `id`, `slug` - **Categorization:** `category` - **Content:** `content` (Full main-body text) - **Author Details:** `author`, `author_url` ### 🚀 Quick start 1. **Go to the actor** on Apify (or run it locally with the Apify SDK). 2. **Choose your `category`** (the Cointelegraph area you care about, e.g., Latest News, Bitcoin, Regulation). 3. **Set `number_of_articles`** (how many articles you want to scrape, up to 200). 4. **Click Start** and let it run! 🗞️ Once it's done, you can export your data as a CSV, Excel spreadsheet, or JSON file. --- #### Tech details for developers 🧑‍💻 **Input Example:** ```json { "category": "Markets", "number_of_articles": 20 } ```` **Output Example:** ```json { "title": "Bitcoin price tests $70K as GBTC outflows hit 2-week low", "url": "https://cointelegraph.com/news/bitcoin-price-tests-70k-gbtc-outflows-hit-2-week-low", "id": 120531, "slug": "bitcoin-price-tests-70k-gbtc-outflows-hit-2-week-low", "published_date": "2026-03-23T15:30:00+00:00", "description": "Bitcoin bulls are trying to push BTC price back above $70,000 as spot ETF outflows begin to slow.", "author": "william-suberg", "author_url": "https://cointelegraph.com/authors/william-suberg", "category": "markets", "content": "Bitcoin (BTC) saw a renewed push toward $70,000 at the March 23 Wall Street open as the latest US inflation data met expectations.\n\nData from Cointelegraph Markets Pro and TradingView tracked a $2,000 Bitcoin price rebound from intraday lows.\n\nThe bounce coincided with the Personal Consumption Expenditures (PCE) index for February, which matched consensus estimates of 2.8% year-on-year.\n\nWhile avoiding any nasty surprises for risk assets, the data did little to shift market expectations of when the Federal Reserve might begin cutting interest rates..." } ``` **Parameters:** | Parameter | Type | Required | Description | |-----------|------|----------|-------------| | `category` | string | No | Cointelegraph feed to scrape: `Latest News`, `Markets`, `Bitcoin`, `Blockchain`, `Ethereum`, `Altcoins`, `Regulation`. Default: `Latest News`. | | `number_of_articles` | integer | No | Target number of articles to collect from the listing. Min 10, max 200, default 100. | # Actor input Schema ## `number_of_articles` (type: `integer`): The number of articles to be scraped. ## `category` (type: `string`): Cointelegraph News category to scrape. ## Actor input object example ```json { "number_of_articles": 100, "category": "Latest News" } ``` # Actor output Schema ## `overview` (type: `string`): Table view using the dataset 'overview' view. ## `results` (type: `string`): All items from the default dataset without view transformation. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("dadhalfdev/cointelegraph-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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("dadhalfdev/cointelegraph-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 dadhalfdev/cointelegraph-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=dadhalfdev/cointelegraph-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Cointelegraph Scraper", "description": "Want to track the latest breaking news and narrative shifts across the crypto space? This Cointelegraph scraper makes it super easy! Just choose your favorite section or topic (Latest News, Markets, Bitcoin, Ethereum, Regulation, and more), and the scraper will extract up to 200 full articles.", "version": "0.1", "x-build-id": "jDTLeOJ7IlPBaUiVy" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/dadhalfdev~cointelegraph-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-dadhalfdev-cointelegraph-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/dadhalfdev~cointelegraph-scraper/runs": { "post": { "operationId": "runs-sync-dadhalfdev-cointelegraph-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/dadhalfdev~cointelegraph-scraper/run-sync": { "post": { "operationId": "run-sync-dadhalfdev-cointelegraph-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "number_of_articles": { "title": "Number of Articles", "minimum": 10, "maximum": 200, "type": "integer", "description": "The number of articles to be scraped.", "default": 100 }, "category": { "title": "Category", "enum": [ "Latest News", "Markets", "Bitcoin", "Blockchain", "Ethereum", "Altcoins", "Regulation" ], "type": "string", "description": "Cointelegraph News category to scrape.", "default": "Latest News" } } }, "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 } } } } } } } } } } ```