We extract full text articles, author profiles, category feeds, and metadata from Metro. 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 metro.co.uk. All fields typed and schema-versioned.
"article_url": "https://metro.co.uk/2026/05/12/example-news-story/", "headline": "Major transport updates announced for London commuters", "subhead": "TfL confirms new schedule changes starting next month.", "author": "Jane Doe", "published_at": "2026-05-12T08:30:00Z", "category": "News", "tags": "['London', 'Transport', 'TfL']", "image_urls": "['https://metro.co.uk/wp-content/uploads/2026/05/train.jpg']"
| # | article_url | headline | subhead | author | published_at | updated_at |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Authors objects from metro.co.uk. All fields typed and schema-versioned.
"author_id": "jane-doe-123", "name": "Jane Doe", "profile_url": "https://metro.co.uk/author/jane-doe/", "bio": "Senior transport correspondent at Metro.", "twitter_handle": "@janedoe_metro", "role": "Senior Reporter", "latest_article_date": "2026-05-12T08:30:00Z"
| # | author_id | name | profile_url | bio | twitter_handle | article_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Category Feeds objects from metro.co.uk. All fields typed and schema-versioned.
"category_name": "Sport", "slug": "sport", "parent_category": "Home", "article_count": 14502, "latest_headline": "Premier League weekend review", "feed_url": "https://metro.co.uk/sport/"
| # | category_name | slug | parent_category | article_count | latest_headline | trending_topics |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Multimedia objects from metro.co.uk. All fields typed and schema-versioned.
"article_url": "https://metro.co.uk/2026/05/12/example-news-story/", "image_url": "https://metro.co.uk/wp-content/uploads/2026/05/train.jpg", "alt_text": "London underground train arriving at station", "caption": "Commuters face delays on the Northern Line.", "credit": "Getty Images", "media_type": "image"
| # | article_url | image_url | alt_text | caption | credit | video_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Metadata objects from metro.co.uk. All fields typed and schema-versioned.
"article_url": "https://metro.co.uk/2026/05/12/example-news-story/", "comment_count": 142, "share_count_fb": 850, "share_count_x": 320, "trending_rank": 4, "scraped_at": "2026-05-12T10:15:22Z"
| # | article_url | comment_count | share_count_fb | share_count_x | view_count | trending_rank |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Metro scraper bypasses ad-heavy DOMs, normalises publication timestamps, and handles infinite scroll pagination to deliver clean, structured article data.
Headlines, subheads, body paragraphs, blockquotes, and inline links extracted cleanly without advertising artifacts.
Published and updated timestamps parsed into ISO 8601 UTC format for accurate chronological indexing.
Track journalist output, bio updates, and social handles across the entire Metro author directory.
Capture categories, sub-categories, and tags to maintain the exact topical structure used by Metro editors.
Extract high-resolution image URLs, alt text, captions, and photographer credits embedded within articles.
Monitor comment counts and social sharing indicators to gauge article velocity and public interest.
Poll category pages and RSS feeds at high frequency to capture breaking news within minutes of publication.
Traverse date-based sitemaps to extract years of historical articles for NLP training and backtesting.
Strip out newsletter signups, related article widgets, and sponsor modules to deliver pure editorial text.
Brief in. Clean data out.
Provide target categories, author profiles, or date ranges. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, and DOM parsing logic for metro.co.uk.
Schema validation, null-rate checks, and text sanitisation review before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
News publishers deploy aggressive caching, dynamic ad loads, and anti-scraping layers. We handle the infrastructure so you get clean text.
Metro injects programmatic advertising and sponsored content directly into the article body DOM. Our parsers use structural heuristics to strip ad containers and retain only editorial paragraphs.
Category pages and author feeds rely on JavaScript-based infinite scroll. We execute Playwright sessions to trigger lazy loading and capture complete article lists.
News sites use heavy edge caching. We append cache-busting parameters and rotate IP addresses to ensure we capture the most recent article updates and breaking news edits.
We normalise HTML entities, strip inline styling, and format blockquotes consistently to ensure the output text is immediately ready for NLP and LLM training pipelines.
Publishers frequently update their CMS templates. We monitor null rates on critical fields like body_text and published_at, automatically adjusting selectors when the DOM changes.
PR agencies track brand mentions, sentiment, and journalist coverage across UK publications.
AI teams ingest high-quality editorial text to train large language models and sentiment classifiers.
Analysts monitor category velocity and keyword frequency to identify emerging cultural and political trends.
Rival publishers track Metro's publication frequency, author output, and topic selection to benchmark editorial strategy.
Quantitative funds parse business and economic news for macroeconomic indicators and market sentiment signals.
News aggregators and specialised feeds ingest structured article data to populate downstream reader applications.
"Editorial text is the foundation of modern NLP, but extracting it cleanly from ad-heavy publisher DOMs requires dedicated infrastructure."
Most teams underestimate the complexity of news scraping: handling infinite scroll feeds, stripping programmatic ad injections, and normalising inconsistent timestamps. DataFlirt absorbs that complexity so your data scientists can focus on analysis, not HTML parsing.
Everything supported by our metro.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 deduplication. Playwright handles JavaScript execution for infinite scroll pagination.
We maintain pools of UK residential proxies to bypass regional restrictions and edge caching layers.
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 metro.co.uk scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available news articles is generally permissible. DataFlirt extracts only public, non-authenticated editorial content. We do not bypass paywalls or extract personally identifiable information of readers. Clients should consult legal counsel regarding copyright and fair use for their specific downstream applications.
Our parsers use structural heuristics to identify and remove programmatic ad containers, newsletter signup forms, and sponsored content blocks, ensuring the final body_text field contains only editorial paragraphs.
Yes. We can traverse Metro's date-based XML sitemaps to extract years of historical publication data for backtesting and NLP model training.
For continuous pipelines, we poll target category pages and RSS feeds at high frequency, achieving sub-5-minute latency from publication to warehouse delivery.
We extract the high-resolution URLs, alt text, and captions for embedded media. We do not download the raw video files, but provide the source links for your systems to process.
Yes. We provide a sample run of up to 500 articles during the scoping phase so you can validate the text sanitisation and schema fit before committing.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a historical archive dump or a real-time breaking news feed, we scope, build, and operate the pipeline. Tell us what you need.
