We extract full text articles, author metadata, comment threads, and publication timestamps from The Telegraph. 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 Articles objects from telegraph.co.uk. All fields typed and schema-versioned.
"article_id": "tel-art-98241", "url": "https://www.telegraph.co.uk/news/2026/05/12/example-article/", "headline": "Chancellor announces new fiscal policy measures", "author_name": "Ben Wright", "published_date": "2026-05-12T08:30:00Z", "section": "Politics", "premium_flag": true, "word_count": 1240
| # | article_id | url | headline | subheadline | author_name | published_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Authors objects from telegraph.co.uk. All fields typed and schema-versioned.
"author_id": "auth-742", "name": "Ben Wright", "role": "Associate Editor", "twitter_handle": "@_benwright_", "bio": "Ben Wright is an Associate Editor writing on business and politics.", "profile_url": "https://www.telegraph.co.uk/authors/b/ba-be/ben-wright/", "article_count": 482, "latest_article_date": "2026-05-12T08:30:00Z"
| # | author_id | name | role | twitter_handle | bio | article_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Comments objects from telegraph.co.uk. All fields typed and schema-versioned.
"comment_id": "cmt-882193", "article_id": "tel-art-98241", "username": "UKVoter2026", "comment_text": "This policy completely misses the structural issues in the current market.", "timestamp": "2026-05-12T09:15:22Z", "upvotes": 142, "replies_count": 12, "is_moderated": false
| # | comment_id | article_id | user_id | username | comment_text | timestamp |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Frontpage & Sections objects from telegraph.co.uk. All fields typed and schema-versioned.
"section_name": "Business", "url": "https://www.telegraph.co.uk/business/", "top_headline": "Markets rally on interest rate freeze", "featured_articles": "['tel-art-98242', 'tel-art-98243']", "trending_topics": "['Interest Rates', 'FTSE 100', 'Housing Market']", "layout_position": "hero_banner", "scraped_at": "2026-05-12T10:00:00Z", "sponsored_slots": 2
| # | section_name | url | top_headline | featured_articles | trending_topics | layout_position |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Telegraph Money objects from telegraph.co.uk. All fields typed and schema-versioned.
"ticker": "HSBA.L", "company_name": "HSBC Holdings plc", "current_price": 684.2, "change_pct": 1.2, "market_cap": "128.4B", "sector": "Financials", "article_mentions": "['tel-art-98200']", "scraped_timestamp": "2026-05-12T10:05:00Z"
| # | ticker | company_name | current_price | change_pct | market_cap | sector |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Telegraph scraper handles complex media platform layers: paywall detection, dynamic comment rendering, historical archive pagination, and author metadata tracking.
Capture headline, subheadline, body text, tags, and publication timestamps. Text is returned clean and NLP ready.
Automatically identify Telegraph Premium articles. Extract available preview text and metadata without triggering account blocks.
Extract fully rendered comment threads, user handles, timestamps, and upvote counts using Playwright browser automation.
Track journalist output, topics covered, and bio updates across the entire editorial staff.
Navigate the sitemap and date based archives to extract historical reporting spanning decades.
Track layout changes, top headlines, and editor picks at high frequency to monitor editorial prioritisation.
Extract stock mentions, financial recommendations, and market data embedded within business section articles.
Capture embedded image URLs, video placeholders, and infographic captions associated with the reporting.
Monitor articles for post publication edits, headline A/B testing, and stealth updates.
Brief in. Clean data out.
Provide target sections, author lists, or historical date ranges. We design the extraction schema together.
We configure Playwright crawlers, residential proxies, and comment rendering logic for telegraph.co.uk.
Schema validation, null rate checks, and text normalisation tests before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Media sites employ strict rate limiting and dynamic rendering. Here is how we stay resilient and why teams choose managed infrastructure over DIY.
The Telegraph loads comments dynamically via API calls bound to user interaction. We run full Playwright browser sessions to trigger lazy loading and extract complete conversation threads.
Articles often switch between free and premium states. Our pipeline detects paywall triggers, captures available metadata, and flags the record status cleanly without throwing extraction errors.
Extracting historical data requires navigating complex, deeply nested sitemaps. We distribute crawl tasks across thousands of nodes to process years of archives in hours.
Raw HTML contains inline ads, newsletter signups, and related article widgets. Our parsers strip non editorial DOM elements, returning clean paragraphs ready for sentiment analysis.
High volume requests to media sites trigger WAF blocks. We route traffic through UK based residential proxies, mimicking legitimate reader behaviour to maintain pipeline stability.
Agencies track client mentions, sentiment shifts, and crisis developments across breaking news and opinion pieces.
Machine learning teams use high quality British English journalistic text to train language models and classifiers.
Quantitative funds analyse business section reporting and comments to gauge market sentiment and consumer confidence.
Media analysts monitor publication frequency, topic focus, and editorial bias across specific contributors.
Investors extract stock recommendations and market commentary from Telegraph Money to inform trading algorithms.
Universities study political discourse, framing, and historical reporting trends over decades of archive data.
"The Telegraph archive represents over a century of British journalistic record. Extracting this requires precise traversal logic, not just simple HTTP gets."
News media scraping presents unique challenges: strict paywalls, dynamically loaded comment sections, and frequent layout changes. DataFlirt builds pipelines that bypass rate limits and normalise article text into clean, NLP ready datasets so your data science teams can focus on analysis.
Everything supported by our telegraph.co.uk 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 sitemap traversal. Playwright manages JavaScript execution for comment sections and interactive charts.
We route requests through UK based residential proxies to match expected geographic traffic patterns and avoid WAF rate limits.
Pipelines run on AWS Lambda for burst archive extraction and ECS for sustained daily monitoring. Scheduled via Apache Airflow.
Data delivered to where your team already works — no new tooling required.
About telegraph.co.uk scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information is generally permissible under applicable law, reinforced by rulings like hiQ v. LinkedIn. DataFlirt extracts only public, non authenticated news data and metadata. We do not bypass paywalls to steal premium content or extract personal data. Clients should review The Telegraph Terms of Service and consult legal counsel.
Our standard pipelines detect the premium flag and extract the headline, author, publication date, and any publicly visible preview text. We do not circumvent the paywall. Full text extraction of premium content requires the client to provide valid authentication credentials.
Yes. We can traverse the digital archives back to inception, extracting historical reporting based on specific date ranges, authors, or keyword parameters.
Yes. We use Playwright to execute the necessary JavaScript, triggering the comment API to load full conversation threads, including upvotes and usernames.
For media monitoring use cases, we configure high frequency polling pipelines that check frontpage layouts and breaking news sections with sub 5 minute latency.
Our minimum engagement typically starts with a defined historical archive dump or a continuous daily feed of specific sections. Contact us with your volume requirements for a precise quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a historical archive export or continuous real time media monitoring, we scope, build, and operate the pipeline. Tell us what you need.
