Decrypt Crypto News Scraper

A powerful tool for collecting the latest cryptocurrency news from Decrypt in a clean, structured format. It helps analysts, researchers, and builders track trends, monitor markets, and extract full article content efficiently.

     

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Introduction

The Decrypt Crypto News Scraper gathers up-to-date crypto and blockchain news articles from Decrypt across multiple categories. It solves the problem of manually tracking fast-moving crypto news by delivering structured, ready-to-use data. This project is ideal for analysts, content teams, researchers, and developers building data-driven crypto products.

Crypto News Intelligence Pipeline

• Extracts full-length articles with metadata in one run
• Supports multiple crypto-focused categories and subcategories
• Delivers consistent, structured output for analysis and storage
• Designed for scalable news monitoring workflows

Features

Feature	Description
Category-based scraping	Collect articles by specific crypto and blockchain categories.
Full content extraction	Retrieves complete article text, not just summaries.
Author & metadata capture	Includes author names, publication dates, and reading time.
Configurable limits	Control how many articles are collected per run.
Structured JSON output	Clean, analysis-ready data format.

---

What Data This Scraper Extracts

Field Name	Field Description
title	Headline of the crypto news article.
category	Main news category selected for scraping.
sub_category	Specific topic or subcategory of the article.
link	Direct URL to the original article.
date	Publication date and time in ISO format.
reading_time	Estimated time required to read the article.
content	Full textual content of the article.
author	Name of the article’s author.

---

Example Output

[
  {
    "title": "'Public Good': Wyoming Plots August Debut for WYST Stablecoin",
    "category": "Business",
    "sub_category": "Law and Order",
    "link": "https://decrypt.co/326331/wyoming-plots-august-debut-wyst-state-stablecoin",
    "date": "2025-06-21T10:30:00Z",
    "reading_time": "4 min read",
    "content": "Wyoming lawmakers have discussed introducing a stablecoin since 2022. The asset, WYST, is now targeted to launch during the Wyoming Blockchain Symposium...",
    "author": "Mat Di Salvo"
  }
]

---

Directory Structure Tree

Decrypt Scraper (Crypto News)/
├── src/
│   ├── main.py
│   ├── scraper/
│   │   ├── decrypt_client.py
│   │   ├── article_parser.py
│   │   └── category_mapper.py
│   ├── utils/
│   │   ├── date_utils.py
│   │   └── text_cleaner.py
│   └── config/
│       └── settings.example.json
├── data/
│   ├── sample_output.json
│   └── sample_input.json
├── requirements.txt
└── README.md

---

Use Cases

• Crypto analysts use it to monitor daily news, so they can identify market-moving events early.
• Research teams use it to collect historical articles, so they can analyze trends and narratives.
• Content aggregators use it to source articles, so they can build curated crypto news platforms.
• Developers use it to feed datasets into dashboards, so they can power real-time insights.

---

FAQs

What categories are supported? The scraper supports major Decrypt categories such as AI, Business, Technology, NFTs, Coins, DeFi, Gaming, Markets, and Opinion.

Can I control how many articles are collected? Yes, you can configure the maximum number of articles per run, typically between 10 and 100.

Does it extract full article text or summaries only? It extracts the complete article content, including all readable sections.

Is the output suitable for analytics pipelines? Yes, the structured JSON format is optimized for databases, dashboards, and machine learning workflows.

---

Performance Benchmarks and Results

Primary Metric: Processes up to 100 full-length articles per run with consistent extraction speed.

Reliability Metric: Maintains a high success rate across multiple categories with stable parsing.

Efficiency Metric: Optimized requests and parsing minimize redundant processing and resource usage.

Quality Metric: High data completeness, capturing full content and metadata for the majority of articles.

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