We extract breaking crypto news, CoinDesk Indices (CDI), author sentiment, and market analysis from coindesk.com. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for News Articles objects from coindesk.com. All fields typed and schema-versioned.
"article_id": "CD-98231", "headline": "Bitcoin Surges Past 70K", "author_name": "Omkar Godbole", "category": "Markets", "publish_date": "2026-10-12T14:30:00Z", "tags": "['Bitcoin', 'Markets', 'ETF']"
| # | article_id | url | headline | subheadline | author_name | publish_date |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Market Data objects from coindesk.com. All fields typed and schema-versioned.
"asset_symbol": "BTC", "current_price": 71240.5, "price_24h_change": 4.2, "volume_24h": 34000000000, "market_cap": 1400000000000, "timestamp": "2026-10-12T14:35:00Z"
| # | asset_symbol | asset_name | current_price | price_24h_change | volume_24h | market_cap |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Author Profiles objects from coindesk.com. All fields typed and schema-versioned.
"full_name": "Nikhilesh De", "role": "Managing Editor for Global Policy", "twitter_handle": "@nikhileshde", "article_count": 1452, "primary_beat": "Regulation", "recent_articles": "['SEC Delays ETF Decision']"
| # | author_id | full_name | role | twitter_handle | linkedin_url | bio |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Newsletters objects from coindesk.com. All fields typed and schema-versioned.
"newsletter_name": "First Mover", "send_date": "2026-10-12", "subject_line": "Bitcoin ETF Inflows Accelerate", "author": "Bradley Keoun", "read_time": "5 min", "featured_assets": "['BTC', 'ETH']"
| # | newsletter_name | edition_id | subject_line | send_date | author | intro_text |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Consensus Events objects from coindesk.com. All fields typed and schema-versioned.
"session_title": "The Future of Layer 2s", "track": "Protocol Village", "start_time": "2026-05-29T10:00:00Z", "speakers": "['Vitalik Buterin']", "event_year": 2026
| # | event_year | session_id | session_title | track | start_time | end_time |
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Our CoinDesk scraper handles every layer of the platform: breaking news feeds, dynamic market tickers, author histories, and Consensus event schedules. Built with anti-bot circumvention and sub-minute polling.
Headline, subheadline, body text, author, timestamps, and embedded media mapped to structured fields.
Extract CoinDesk 20 (CD20) and broad market indices tracking, timestamped per crawl.
Capture crypto prices, 24h volume, market cap, and circulating supply directly from market widgets.
Track specific journalists and their historical coverage bias across specific protocols or assets.
Filter and extract articles mapped to SEC, CFTC, and MiCA tags for compliance intelligence.
Extract speakers, agendas, tracks, and sponsors for all historical and upcoming events.
First Mover, State of Crypto, and Node content extraction, separated from standard editorial flow.
Map articles to specific layer 1 networks, DeFi protocols, or NFTs based on CoinDesk internal taxonomies.
Sub-minute polling on RSS and API endpoints with webhook delivery for breaking news alerts.
Backfill years of crypto market news for quantitative backtesting and NLP model training.
Brief in. Clean data out.
Provide categories, author lists, or historical date ranges. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, and session management for coindesk.com.
Schema validation, null-rate checks, and text-encoding verification before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage.
Crypto news moves markets. Latency and reliability matter. Here is how our infrastructure maintains real-time extraction against modern anti-bot systems.
CoinDesk uses edge protection to block automated traffic. Our crawlers use residential ISP proxies with realistic browser fingerprints and proper TLS hello packets to maintain access without triggering captchas.
For quantitative trading, stale news is useless. We maintain high-frequency polling on RSS feeds, sitemaps, and internal API endpoints to deliver breaking headlines within seconds of publication.
CoinDesk category pages rely on dynamic infinite scroll. We run full Playwright browser sessions with JavaScript execution to trigger lazy-loads and capture deep historical archives.
Editorial platforms frequently alter article templates for special features or sponsored content. Our selectors use multi-layer fallback chains to ensure consistent text extraction regardless of visual layout.
Large historical backfills trigger rate limits. We distribute requests across thousands of residential IPs, randomising request timing to mimic human reading behaviour and avoid subnet bans.
Quantitative funds run NLP sentiment analysis on breaking news to trigger immediate trade execution on crypto exchanges.
Analysts correlate CoinDesk 20 index movements with regulatory announcements to model macro market behaviour.
Layer 1 foundations track PR mentions and protocol coverage frequency against competing networks.
Machine learning teams train crypto-specific LLMs on high-quality editorial content and historical market context.
Sales teams track Consensus speakers and sponsors for lead generation and networking opportunities.
Financial intelligence platforms feed curated crypto news into internal dashboards for portfolio managers.
"CoinDesk remains the system of record for cryptocurrency news. Extracting this editorial layer at low latency is mandatory for modern crypto quantitative models."
Most trading desks underestimate the complexity of scraping publisher sites. Handling Cloudflare challenges, varying article templates, and infinite scroll pagination requires dedicated infrastructure. DataFlirt manages the extraction layer so your quants can focus on signal generation and backtesting.
Everything supported by our coindesk.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration and deduplication. Playwright handles JavaScript rendering and infinite scroll pagination. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies. Rotation happens per-request with sticky sessions where required to navigate Cloudflare edge protection.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About coindesk.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available news and market data from CoinDesk is generally permissible under fair use and public data doctrines. DataFlirt targets only non-authenticated editorial content and public market tickers. We do not bypass paywalls for premium research reports. Clients should consult legal counsel for specific commercial use cases.
Our continuous streaming pipelines poll RSS feeds, sitemaps, and public API endpoints at sub-minute intervals. Breaking news is typically delivered via webhook within 30 to 60 seconds of publication.
Yes. We use residential ISP proxies, TLS fingerprint spoofing, and realistic request headers to navigate edge protection without triggering captchas or IP bans.
Yes. We can execute full historical backfills of the CoinDesk article archive dating back to site inception, delivered as a single batch export.
We extract index data, including the CoinDesk 20, directly from their public market data widgets and underlying JSON endpoints, providing clean time-series data.
We provide clean, normalised text extraction. Sentiment scoring is typically handled downstream by your internal NLP models, though we can integrate basic VADER or FinBERT pipelines upon request.
We deliver data in JSON, CSV, Parquet, or directly to S3, BigQuery, and Snowflake. Real-time news is typically delivered via Webhook.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a historical news archive or a low-latency webhook for breaking market updates, we scope, build, and operate the pipeline. Tell us your requirements.
