We extract articles, author metadata, publication timestamps, comment sections, and media assets from Mirror. 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 Article Content objects from mirror.co.uk. All fields typed and schema-versioned.
"article_id": "31489201", "headline": "Premier League title race predictions", "author_name": "John Cross", "published_at": "2026-05-12T09:14:00Z", "category": "Sport > Football", "tags": "['Premier League', 'Arsenal', 'Manchester City']", "word_count": 842
| # | article_id | url | headline | subheadline | author_name | author_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Author Metadata objects from mirror.co.uk. All fields typed and schema-versioned.
"name": "John Cross", "profile_url": "https://www.mirror.co.uk/authors/john-cross/", "role": "Chief Football Writer", "twitter_handle": "@johncrossmirror", "article_count": 4821, "bio": "John Cross has been the Daily Mirror's Chief Football Writer since 2015."
| # | author_id | name | profile_url | role | twitter_handle | article_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Comment Sections objects from mirror.co.uk. All fields typed and schema-versioned.
"comment_id": "c_892147", "article_id": "31489201", "user_name": "RedDevil99", "timestamp": "2026-05-12T10:22:00Z", "comment_text": "Spot on analysis. The midfield battle will decide it.", "upvotes": 42, "replies_count": 3
| # | comment_id | article_id | user_name | timestamp | comment_text | upvotes |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Category Feeds objects from mirror.co.uk. All fields typed and schema-versioned.
"section_name": "Politics", "parent_section": "News", "url": "https://www.mirror.co.uk/news/politics/", "trending_topics": "['General Election', 'Prime Minister', 'NHS']", "last_updated": "2026-05-12T11:00:00Z", "page_number": 1
| # | section_name | parent_section | url | trending_topics | top_headlines | last_updated |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Media Assets objects from mirror.co.uk. All fields typed and schema-versioned.
"asset_id": "img_482910", "article_id": "31489201", "asset_type": "image", "url": "https://i2-prod.mirror.co.uk/incoming/article.jpg", "caption": "Players celebrating the winning goal", "credit": "Getty Images"
| # | asset_id | article_id | asset_type | url | caption | credit |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Mirror scraper extracts structured news data across all categories: breaking news, sports, opinion, and entertainment. We handle dynamic comment sections and varying article templates automatically.
Headline, subheadline, body text, publication timestamps, and category taxonomy captured cleanly without advertising boilerplate.
Extract author names, profile URLs, biographies, social handles, and historical article counts to track journalistic output.
Capture user comments, upvotes, downvotes, and threaded replies. Useful for public sentiment and audience reaction analysis.
Extract all metadata tags associated with articles to map topic clusters and trending subjects.
Extract image URLs, captions, credits, and alt text embedded within article bodies and galleries.
Monitor live blogs and breaking news feeds for real-time updates and timestamped event logs.
Extract match reports, transfer gossip, player ratings, and opinion columns from the dedicated sports sections.
Track changes to headlines and body text over time. We hash article content and emit diffs when stories are updated.
Run historical archive exports or configure continuous pipelines at hourly, daily, or real-time cadences.
Brief in. Clean data out.
Provide category URLs, author profiles, or keyword sets. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for mirror.co.uk.
Schema validation, null-rate checks, and sample article extraction before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
News sites deploy complex caching, dynamic rendering, and anti-bot systems. Here is how we ensure reliable data extraction.
Mirror uses JavaScript to lazy-load images, embed social media posts, and render comment sections. We use Playwright to execute page scripts, triggering lazy loads and capturing data that static HTML parsers miss.
News publishers use different templates for standard articles, live blogs, galleries, and opinion pieces. Our extraction logic uses multiple fallback chains (CSS, XPath, LD+JSON) to handle template variations without breaking the pipeline.
High-volume scraping triggers rate limits and CAPTCHAs. We route requests through UK residential proxies with realistic browser fingerprints and randomised timing to maintain uninterrupted access.
Breaking news stories are updated frequently. We maintain a hash index of article content and emit diffs when headlines or body text change, providing a clear audit trail of editorial revisions.
Every run emits structured logs to our observability stack. We alert on schema drift, null-rate spikes, and coverage drops, ensuring data continuity for your downstream applications.
Agencies track brand mentions, executive coverage, and crisis communications across national news outlets.
Financial analysts and political researchers mine comment sections and opinion pieces to gauge public reaction to events.
Machine learning teams use large corpora of journalistic text to train natural language processing and generation models.
Marketers analyse tag frequency and category velocity to identify emerging consumer interests and trending topics.
Researchers track narrative propagation and editorial changes to study information flow in digital media.
Publishers monitor competitor output volume, author productivity, and topic coverage to inform their own editorial strategy.
"Mirror produces thousands of articles weekly, representing a massive corpus of public sentiment and breaking news. Capturing this requires dedicated extraction infrastructure."
News publishers deploy aggressive caching and dynamic rendering to serve millions of readers. Extracting reliable data requires handling lazy-loaded comment sections, varying article templates, and real-time update tracking. DataFlirt manages this infrastructure so your data science teams can focus on NLP and sentiment analysis.
Everything supported by our mirror.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. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across UK regions. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
Pipelines run on AWS Lambda (burst) and ECS (sustained). 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 mirror.co.uk scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available news articles is generally permissible. DataFlirt targets only public, non-authenticated article text and metadata. We do not extract personal data from registered users or bypass paywalls. Clients should review publisher terms of service and consult legal counsel for specific use cases.
Mirror uses JavaScript to render comment sections and lazy-load images. We use Playwright to execute these scripts and trigger API calls, capturing the full dataset that standard HTTP requests miss.
Real-time streaming pipelines can monitor specific category feeds or live blogs, achieving sub-5-minute latency from publication to delivery via Webhook.
Yes. We can crawl site archives and sitemaps to extract historical articles, subject to availability on the publisher's site.
Yes. We hash the content of extracted articles and re-check them at configured intervals. If the publisher updates the headline or body text, we emit a diff record.
Our smallest packages start at defined category or author monitoring. For full-site historical extraction, we price based on volume and compute requirements. Contact us for a scoped quote.
Absolutely. We provide a sample run of up to 500 articles as part of the pre-engagement scoping process to validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a historical archive dump or a continuous live news feed — we scope, build, and operate the pipeline. Tell us what you need.
