We extract article text, author metadata, publication timestamps, category classifications, and comment threads from hs.fi. 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 Metadata objects from hs.fi. All fields typed and schema-versioned.
"article_id": "hs-123456789", "headline": "Hallitus suunnittelee uusia leikkauksia", "authors": "['Matti Meikalainen']", "published_at": "2023-10-24T08:15:00Z", "category": "Politiikka", "paywall_status": true, "word_count": 842
| # | article_id | url | headline | subheadline | authors | published_at |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Article Content objects from hs.fi. All fields typed and schema-versioned.
"article_id": "hs-123456789", "paragraphs": "['Paaministeri ilmoitti tanaan...', 'Oppositio kritisoi paatosta...']", "image_urls": "['https://hs.fi/img/1.jpg']", "quotes": "['Tama on valttamatonta']", "read_time_minutes": 4, "language": "fi"
| # | article_id | url | paragraphs | quotes | image_urls | image_captions |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Author Profiles objects from hs.fi. All fields typed and schema-versioned.
"author_id": "auth-554", "name": "Matti Meikalainen", "role": "Politiikan toimittaja", "email": "matti.m@hs.fi", "article_count": 342, "recent_articles": "['hs-123456789', 'hs-987654321']"
| # | author_id | name | profile_url | role | bio | twitter_handle |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Comments & Engagement objects from hs.fi. All fields typed and schema-versioned.
"comment_id": "c-998877", "article_id": "hs-123456789", "user_name": "Kansalainen88", "timestamp": "2023-10-24T09:30:00Z", "comment_text": "Taysin vaara suunta.", "upvotes": 45, "replies_count": 3
| # | comment_id | article_id | user_name | timestamp | comment_text | upvotes |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Frontpage & Sections objects from hs.fi. All fields typed and schema-versioned.
"section_name": "Etusivu", "snapshot_timestamp": "2023-10-24T12:00:00Z", "top_article_id": "hs-123456789", "top_article_headline": "Hallitus suunnittelee uusia leikkauksia", "trending_articles": "['hs-111', 'hs-222']", "editor_picks": "['hs-333']"
| # | section_name | snapshot_timestamp | top_article_id | top_article_headline | trending_articles | editor_picks |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our hs.fi scraper handles every layer of the platform: article text, dynamic comments, author metadata, and category structures. We manage JavaScript rendering, session handling, and UTF-8 normalisation.
Extract headlines, subheadlines, body paragraphs, and inline media across all hs.fi sections including Kotimaa, Ulkomaat, and Talous.
Capture exact published and updated timestamps to track news velocity and editorial modifications over time.
Map articles to specific journalists, tracking author output, specialization, and historical publication records.
Extract user comments, timestamps, upvote metrics, and nested replies to analyze public sentiment on specific topics.
Identify Tilaajille restricted content versus open-access articles to map subscription strategies and premium content ratios.
Extract internal metadata tags and category hierarchies to understand content clustering and editorial focus.
Capture Lue lisaa related article links to map internal linking structures and topic continuity.
Extract high-resolution image URLs, alt text, and editorial captions embedded within article bodies.
Monitor the hs.fi etusivu frontpage at minute-level intervals to track headline positioning and editorial prioritization.
Brief in. Clean data out.
Specify target categories, historical date ranges, or specific authors. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, handle dynamic pagination, and manage request routing for hs.fi.
Schema validation, null-rate checks, and UTF-8 encoding verification for Finnish characters before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
News sites deploy strict rate limits and dynamic rendering. Here is how we stay resilient.
Hs.fi heavily relies on JavaScript for lazy-loading article bodies, comments, and related links. We run full Playwright browser sessions to hydrate the DOM completely before extraction.
Finnish language text requires strict encoding management. Our pipeline normalises all text outputs to standard UTF-8, ensuring characters are perfectly preserved for NLP downstream.
Comment sections on popular articles paginate dynamically via API calls. We intercept these XHR requests to reconstruct the entire comment tree, including deeply nested replies.
Media sites deploy strict WAF rules to block scraping. We distribute requests across residential IP pools and pace crawls to mimic human reading patterns, avoiding IP bans.
News sites frequently alter layouts for special features or breaking news. We use multi-layer fallback selectors targeting semantic HTML and JSON-LD metadata to ensure pipeline stability.
Track brand mentions, executive quotes, and sentiment across Finland's largest news publication in real time.
Harvest high-quality, editorially reviewed Finnish text to train large language models and translation engines.
Analyze comment sections on political and economic news to gauge public opinion and voter sentiment.
Other media organizations track hs.fi publication velocity, paywall ratios, and category focus to benchmark editorial strategy.
Sociologists and political scientists analyze historical news coverage and framing of specific societal issues.
Quant funds extract macroeconomic news and corporate reporting from the Talous section to inform algorithmic trading models.
"Helsingin Sanomat represents the definitive record of Finnish news and public discourse, but extracting it at scale requires navigating dynamic payloads and strict anti-bot measures."
Building a reliable pipeline for hs.fi involves more than simple HTTP requests. It requires managing JavaScript hydration for comments, handling complex pagination, preserving strict UTF-8 encoding for Finnish text, and circumventing rate limits. DataFlirt manages this infrastructure entirely, delivering structured news data directly to your warehouse so your team can focus on NLP and analysis.
Everything supported by our hs.fi 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 dynamic content loading. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across EU regions. Rotation happens per-request with sticky sessions where required to bypass WAF protections.
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.
Scraping publicly available information from hs.fi is generally permissible under EU law, provided it targets public data. DataFlirt does not bypass paywalls to extract subscriber-only content or extract personal user data. Clients should review Sanoma's ToS and consult legal counsel for specific use cases.
No. We extract the metadata, headlines, and public lead paragraphs of paywalled articles, but we do not use compromised credentials to scrape premium body text. We flag paywalled content using a boolean field.
Our pipelines enforce strict UTF-8 encoding at every stage, from HTTP response parsing to database storage and final file delivery. This ensures characters are preserved perfectly.
Yes. We can traverse historical sitemaps and category archives to extract articles dating back years, depending on the availability of the public URLs.
For editorial tracking, we can configure pipelines to snapshot the hs.fi frontpage at 5-minute intervals, capturing headline changes and article positioning in real time.
Yes. We capture the full comment thread on public articles, including nested replies, timestamps, and upvote/downvote metrics, handling the dynamic pagination required to load them.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a historical archive dump or a continuous news-monitoring feed across all sections. We scope, build, and operate the pipeline. Tell us what you need.
