We extract articles, author bylines, comment sections, and financial news from The Times. 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 thetimes.co.uk. All fields typed and schema-versioned.
"article_url": "https://www.thetimes.co.uk/article/example-news-story", "headline": "Chancellor announces new tax brackets for upcoming fiscal year", "author_name": "Steven Swinford", "publish_date": "2026-03-14T08:30:00Z", "section": "Politics", "word_count": 845, "paywalled": true
| # | article_url | headline | subheadline | author_name | publish_date | updated_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Authors objects from thetimes.co.uk. All fields typed and schema-versioned.
"name": "Steven Swinford", "role": "Political Editor", "twitter_handle": "@Steven_Swinford", "article_count": 1420, "latest_article_url": "https://www.thetimes.co.uk/article/example-news-story", "profile_image_url": "https://www.thetimes.co.uk/imageserver/image/example.jpg"
| # | author_id | name | role | twitter_handle | bio | article_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Comments objects from thetimes.co.uk. All fields typed and schema-versioned.
"comment_id": "c_98237492", "user_name": "John Smith", "user_badge": "Subscriber", "comment_text": "This policy will have significant implications for small businesses.", "timestamp": "2026-03-14T09:15:22Z", "upvotes": 42
| # | comment_id | article_url | user_name | user_badge | comment_text | timestamp |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Sections objects from thetimes.co.uk. All fields typed and schema-versioned.
"section_name": "Business", "section_url": "https://www.thetimes.co.uk/business", "top_story_url": "https://www.thetimes.co.uk/article/markets-rally", "last_updated": "2026-03-14T10:05:00Z", "trending_topics": "['Inflation', 'FTSE 100', 'Interest Rates']", "article_count": 156
| # | section_name | section_url | top_story_url | article_count | last_updated | trending_topics |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search Results objects from thetimes.co.uk. All fields typed and schema-versioned.
"keyword": "interest rates", "position": 1, "headline": "Bank of England holds interest rates steady", "article_url": "https://www.thetimes.co.uk/article/boe-rates", "publish_date": "2026-03-13T12:00:00Z", "section": "Economy"
| # | keyword | position | headline | article_url | publish_date | author_name |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our scraper handles every layer of The Times platform: breaking news, opinion sections, author profiles, and user comments, with session management and paywall parsing built in.
Extract headlines, body text, subheadings, and metadata across all sections of The Times and The Sunday Times.
Capture bylines, biographies, social media links, and historical article counts for every journalist.
Extract user comments, upvotes, subscriber badges, and nested replies across popular opinion pieces.
Track front page changes, breaking news banners, and story positioning at hourly intervals.
Extract public metadata from paywalled articles, or ingest full text using client-provided subscriber sessions.
Parse high-resolution image URLs, captions, and embedded video links directly from the article DOM.
Extract market updates, business news parsing, and company mentions from the Business section.
Extract internal article tags and categories to build relationship graphs of trending topics.
Run continuous pipelines for breaking news or execute bulk exports for historical archive analysis.
Brief in. Clean data out.
Provide section URLs, keywords, or author names. We map the required data fields.
We configure Scrapy and Playwright crawlers, proxy routing, and session management for thetimes.co.uk.
Schema validation, null-rate checks, and sample article parsing before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket or data warehouse on agreed cadence.
News sites employ paywalls and dynamic content loading. Here is how we maintain reliable extraction for The Times.
The Times uses strict paywall overlays and cookie consent banners. We manage session state and headers to reliably extract public metadata without triggering aggressive bot blocks.
Comment sections and embedded media are rendered via JavaScript. We use full browser execution to trigger lazy-loading and capture the complete DOM.
News publishers frequently alter article layouts for special features. Our selectors use multiple fallback chains to ensure consistent data extraction across standard and interactive templates.
We maintain state on previously scraped URLs and only extract articles when the published or updated timestamp changes, saving compute and storage costs.
Our observability stack alerts us to sudden drops in text extraction volume, indicating a potential change in paywall logic or DOM structure.
Agencies track client mentions, executive quotes, and brand sentiment across tier-one publications.
Hedge funds parse business news and market commentary to inform algorithmic trading models.
Data scientists analyse comment sections to gauge public reaction to political announcements and policies.
Corporations monitor industry news to identify competitor strategies and market movements.
Universities build historical corpora of journalism to study linguistic trends and media bias.
Publishers analyse article tags and engagement metrics to understand what content drives reader interest.
"The Times holds decades of premium journalism and financial reporting, but extracting structured data requires navigating strict paywalls and dynamic article layouts."
Most teams underestimate the investment required to scrape premium news sites: handling paywall overlays, rendering lazy-loaded comments, and maintaining selectors across different article templates. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our thetimes.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, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows.
We maintain pools of residential ISP proxies across UK regions. Rotation happens per-request with sticky sessions where required.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting.
Data delivered to where your team already works — no new tooling required.
About thetimes.co.uk scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available metadata, headlines, and snippets is generally permissible. Extracting full paywalled text requires adherence to copyright law and The Times terms of service. Clients must supply their own credentials for subscriber-only access and are responsible for how they use the data.
By default, we extract the public metadata, headline, author, and available snippet. If you require full article text, you must provide active subscriber session cookies, which our infrastructure will rotate and maintain.
For monitored sections, we can achieve sub-15-minute latency for new article detection and extraction via continuous polling.
Yes, we can crawl historical search results and sitemaps to extract past articles, subject to the same public metadata or subscriber session rules.
Our minimum engagement typically covers daily extraction of specific sections or keyword searches. Contact us with your exact requirements for a scoped quote.
Yes. We provide a sample run of up to 100 articles or search results to validate schema fit and data quality before signing a contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off archive dump or a continuous news feed across all sections, we scope, build, and operate the pipeline. Tell us what you need.
