We extract articles, market analysis, author profiles, and Cryptopedia entries from Cointelegraph. 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 cointelegraph.com. All fields typed and schema-versioned.
"url": "https://cointelegraph.com/news/bitcoin-price-surge", "title": "Bitcoin surges past resistance levels", "author_name": "Jane Doe", "publish_date": "2023-10-24T14:30:00Z", "category": "Markets", "views": 15420, "tags": "['Bitcoin', 'Markets', 'Trading']"
| # | url | title | author_name | author_url | publish_date | update_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Market Analysis objects from cointelegraph.com. All fields typed and schema-versioned.
"url": "https://cointelegraph.com/news/eth-analysis", "asset_ticker": "ETH", "price_at_publish": 2450.5, "prediction_type": "Bullish", "author": "John Smith", "publish_date": "2023-10-24T12:00:00Z"
| # | url | title | asset_ticker | price_at_publish | prediction_type | author |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Author Profiles objects from cointelegraph.com. All fields typed and schema-versioned.
"author_id": "jane-doe", "name": "Jane Doe", "bio": "Senior Markets Reporter", "twitter_handle": "@janedoe_crypto", "article_count": 342, "role": "Editor"
| # | author_id | name | bio | twitter_handle | linkedin_handle | article_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Cryptopedia objects from cointelegraph.com. All fields typed and schema-versioned.
"topic": "DeFi", "difficulty_level": "Beginner", "read_time_minutes": 12, "title": "What is Decentralised Finance?", "author": "Cointelegraph Team", "last_updated": "2023-01-15T00:00:00Z"
| # | topic | difficulty_level | read_time_minutes | title | sections_count | author |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Press Releases objects from cointelegraph.com. All fields typed and schema-versioned.
"company_name": "CryptoStartup", "title": "CryptoStartup raises $10M Series A", "publish_date": "2023-10-23T09:00:00Z", "contact_email": "press@cryptostartup.io", "website_url": "https://cryptostartup.io", "tags": "['Funding', 'Series A']"
| # | pr_id | company_name | title | publish_date | content_text | contact_email |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our Cointelegraph scraper parses complex article layouts, handles Cloudflare protection, and structures unstructured text data into clean formats.
Clean text and HTML, stripped of inline ads, related article widgets, and social embeds.
Extract authors, UTC timestamps, tags, and category taxonomies for precise filtering.
Identify asset tickers, price mentions, and embedded chart images within technical analysis pieces.
Scrape journalist bios, social media links, historical article counts, and publication frequency.
Extract structured educational content, including difficulty levels and estimated read times.
Parse complex React layouts used for deep dives, interviews, and investigative features.
Track company announcements, extracting contact details and outbound PR links.
Playwright automation handles dynamic content loading for infinite scroll news feeds.
Webhook delivery pushes breaking news to your systems within 60 seconds of publication.
Brief in. Clean data out.
Provide target categories, tags, or author URLs. We design the extraction schema together.
We configure Scrapy crawlers, Cloudflare bypass, and session management for cointelegraph.com.
Schema validation, null-rate checks, and content parsing verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Crypto news sites deploy aggressive anti-scraping to protect their content. Here is how we maintain reliable pipelines.
Cointelegraph relies heavily on Cloudflare. We use residential proxies and TLS fingerprint spoofing to bypass WAF challenges without triggering reCAPTCHA walls or IP blocks.
React-based rendering requires full browser execution. We use Playwright to trigger infinite scroll pagination and hydrate lazy-loaded article content.
Standard news, Magazine features, and Cryptopedia guides all use different DOM structures. Our selectors use fallback chains to extract core fields regardless of layout.
We remove inline native ads, sponsored widgets, and tracking pixels from the article body, delivering only the editorial content your NLP models need.
Relative times and varied timezone formats are converted into standard UTC ISO-8601 strings, ensuring chronological accuracy for event-driven trading models.
Quant funds parse breaking news and market analysis for sentiment indicators and trading signals.
NLP models ingest article text and tags to gauge retail and institutional sentiment across specific assets.
Crypto PR teams monitor press release volume, topics, and coverage frequency for rival protocols.
LLM builders use the Cryptopedia corpus for domain-specific cryptocurrency knowledge training.
Marketing agencies identify top-performing crypto journalists and opinion leaders based on view counts.
Traders configure webhooks for immediate notification when specific asset tickers are mentioned.
"Cryptocurrency markets react to news in milliseconds. If your sentiment analysis model is waiting on a daily RSS feed, you have already missed the trade."
Building a reliable news scraper requires bypassing Cloudflare, rendering complex React frontends, and normalising unstructured HTML into clean text. DataFlirt handles the extraction infrastructure, delivering structured article data directly to your models so your engineering team can focus on signal generation.
Everything supported by our cointelegraph.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 interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies. Rotation happens per request, bypassing Cloudflare protections without triggering IP bans.
Pipelines run on AWS ECS. Airflow handles scheduling, dependency management, and SLA alerting. All state is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About cointelegraph.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information is generally permissible under applicable law, reinforced by the hiQ v. LinkedIn ruling. DataFlirt targets only public, non-authenticated news and market data. We do not extract personal data or circumvent authentication walls.
We use residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour to bypass WAF challenges.
Yes. We can paginate through the archive to provide a complete historical snapshot of all published articles and Cryptopedia entries.
Yes. Image URLs for hero graphics and embedded technical analysis charts are captured and included in the payload.
Real-time streaming pipelines achieve sub-60-second latency via webhook delivery from the moment an article is published on the site.
Yes. Pipelines can be scoped to specific categories, authors, or tags like Bitcoin, Ethereum, or DeFi.
Both. We deliver stripped text suitable for NLP models, as well as the raw HTML block if your team requires custom parsing.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a historical dump of all Cryptopedia articles or a real-time feed of breaking market news, we build and operate the pipeline. Tell us what you need.
