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🚀 CoinDesk Pro Scraper: Full Article Body & Metadata

The most accurate and comprehensive scraper for CoinDesk. Unlike standard scrapers that only fetch titles and short descriptions, this professional-grade Actor extracts the Complete Full Text (본문 전체 원문) and precise Author metadata (작성자 정보).

Optimized for AI/LLM Training, Sentiment Analysis, and Crypto Market Monitoring. (AI 모델 학습, 감성 분석, 암호화폐 시장 모니터링에 최적화된 고품질 스크래퍼입니다.)

✨ Key Features (주요 기능)

• 📖 Full Text Extraction: Extracts the actual, complete article body text without missing paragraphs. (기사 요약이 아닌 실제 본문 전체 텍스트를 누락 없이 수집)
• 👤 Accurate Metadata: Captures detailed metadata including Author, Published Date, and internal URLs. (작성자, 발행 날짜 등 상세 메타데이터 포함)
• ⏭️ Smart Pagination: Automatically navigates through pagination / 'Load More' actions to fetch an unlimited number of articles based on your limit. (페이지네이션 자동 인식으로 무제한 기사 수집 지원)
• 🛡️ Anti-Blocking: Integrates seamlessly with Apify Proxy to guarantee stability and prevent IP bans during mass scraping. (Apify Proxy 연동으로 대량 수집 시 IP 완벽 우회 및 차단 방지)
• 🤖 AI-Ready Data: Outputs clean, structured JSON ready for immediate integration into your data pipelines and analysis tools. (즉시 데이터 분석에 활용 가능한 깨끗한 JSON 포맷 제공)

📥 Input Options (입력 옵션)

(Start URLs에는 수집을 원하는 기사 목록 카테고리 링크를 넣고, Max Items에는 최대 수집 개수를 지정하세요.)

📂 Output Example (데이터 출력 예시)

The extracted data is stored in the default dataset. Inside, you will find clean JSON objects like this:

{
"title":"Crypto’s biggest exchange fights back against allegations of moving billions of Iran-linked money",
"summary":"SponsoredByZoomexJan 31, 2026",
"url":"https://www.coindesk.com/business/2026/02/24/binance-accuses-the-wsj...",
"publishedDate":"2026-02-25T11:06:02.789Z",
"author":"Olivier Acuna",
"fullText":"Crypto exchange Binance accused The Wall Street Journal Tuesday of publishing \"false information\" in a Monday article about the exchange allegedly firing employees investigating funds moving through the exchange to sanctioned entities.\n\nRichard Teng, Binance co-CEO, accused the WSJ of \"inaccurate reporting...\"",
"source":"CoinDesk"
}

💡 Use Cases (활용 사례)

• Quantitative Trading & NLP: Process full-text articles through NLP models to gauge market sentiment for Bitcoin, Ethereum, and major altcoins.
• Aggregator Platforms: Automate your daily crypto news feed aggregation.
• LLM Context Generation: Feed high-quality, up-to-date crypto journalism into customized GPT wrappers or RAG systems.

Need Customization? (맞춤형 제작 문의)

If you require extraction of specific custom fields, integration with external databases, or a new scraper for sites like Cointelegraph, The Block, or Decrypt, feel free to reach out via the Issues tab.