# Decrypt Scraper (`dadhalfdev/decrypt-scraper`) Actor Want to track the latest breaking news and narrative shifts across Web3, AI, and crypto? This Decrypt makes it super easy! Select your preferred section or topic (News, AI, DeFi, Business, NFTs, Gaming, and more), and the scraper will extract up to 100 full articles. - **URL**: https://apify.com/dadhalfdev/decrypt-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 $4.00 / 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 ## 📰 Decrypt Crypto News Scraper Want to track the latest breaking news and narrative shifts across Web3, AI, and crypto? This **[Decrypt](https://decrypt.co/)** scraper makes it super easy! Just **choose your favorite section or topic** (News, AI, DeFi, Business, NFTs, Gaming, and more), and the scraper will extract up to 100 full articles, neatly packing headlines, full text, and publication dates into a CSV or JSON file. ![Decrypt Website](https://i.postimg.cc/tgDdd9MB/Screenshot-From-2026-03-23-17-48-15.png) ### 💡 Perfect for... - **Trading & Market Desks:** Track breaking headlines and narrative shifts around major tokens, DeFi platforms, 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 Decrypt say about X 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:** Choose from Decrypt areas like News, Editor's Picks, Business, AI, Technology, NFTs, Coins, DeFi, Gaming, Markets, or Opinion. 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, reading time, and formatted publication dates. - ⏱️ **Listing Depth:** Automatically scrolls the category feed and clicks "Load More" until enough article links are collected 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`, `title`, `date`, `reading_time` - **Categorization:** `category`, `sub_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 Decrypt area you care about, e.g., News, AI, DeFi, Markets). 3. **Set `max_articles`** (how many articles you want to scrape, up to 100). 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": "Business", "max_articles": 20 } ```` **Output Example:** ```json { "url": "https://decrypt.co/326331/wyoming-plots-august-debut-wyst-state-stablecoin", "title": "'Public Good': Wyoming Plots August Debut for WYST Stablecoin", "category": "Business", "sub_category": "Law and Order", "date": "2025-06-21T10:30:00", "reading_time": "4 min read", "content": "In brief\nWyoming lawmakers have been talking about introducing a stablecoin since 2022.\nThe asset, WYST, is now targeted to launch on August 20 during the Wyoming Blockchain Symposium.\nThis week, the U.S. Senate passed the GENIUS Act, which would create a legal framework for stablecoins.\n\nThe Cowboy State moved one step closer to issuing its own stablecoin.\n\nThe state-backed Wyoming Stable Token Commission said this week that the WYST cryptocurrency's debut will likely occur on August 20 at the Wyoming Blockchain Symposium in Jackson...", "author": "Mat Di Salvo", "author_url": "https://decrypt.co/author/mathewdisalvo" } ``` **Parameters:** | Parameter | Type | Required | Description | |-----------|------|----------|-------------| | `category` | string | No | Decrypt feed to scrape: `News`, `Editor's Picks`, `Business`, `AI`, `Technology`, `NFTs`, `Coins`, `DeFi`, `Gaming`, `Markets`, `Opinion`. Default: `News`. | | `max_articles` | integer | No | Target number of articles to collect from the listing (increments as links load). Min 10, max 100, default 100. | # Actor input Schema ## `category` (type: `string`): The category of articles to be scraped. ## `max_articles` (type: `integer`): The maximum number of articles to be scraped. ## Actor input object example ```json { "category": "News", "max_articles": 100 } ``` # Actor output Schema ## `overview` (type: `string`): Table view of scraped Decrypt articles using the dataset 'overview' view. ## `results` (type: `string`): All scraped Decrypt articles 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 = { "category": "News" }; // Run the Actor and wait for it to finish const run = await client.actor("dadhalfdev/decrypt-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 = { "category": "News" } # Run the Actor and wait for it to finish run = client.actor("dadhalfdev/decrypt-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 '{ "category": "News" }' | apify call dadhalfdev/decrypt-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=dadhalfdev/decrypt-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Decrypt Scraper", "description": "Want to track the latest breaking news and narrative shifts across Web3, AI, and crypto? This Decrypt makes it super easy!\nSelect your preferred section or topic (News, AI, DeFi, Business, NFTs, Gaming, and more), and the scraper will extract up to 100 full articles.", "version": "0.1", "x-build-id": "tMB7b0Cf0hovXgv2B" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/dadhalfdev~decrypt-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-dadhalfdev-decrypt-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/dadhalfdev~decrypt-scraper/runs": { "post": { "operationId": "runs-sync-dadhalfdev-decrypt-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/dadhalfdev~decrypt-scraper/run-sync": { "post": { "operationId": "run-sync-dadhalfdev-decrypt-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "category" ], "properties": { "category": { "title": "Category", "enum": [ "News", "AI", "Business", "Technology", "NFTs", "Coins", "DeFi", "Gaming", "Markets", "Opinion" ], "type": "string", "description": "The category of articles to be scraped.", "default": "News" }, "max_articles": { "title": "Maximum Number of Articles", "minimum": 10, "maximum": 100, "type": "integer", "description": "The maximum number of articles to be scraped.", "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 } } } } } } } } } } ```