We extract full-text articles, publication metadata, author profiles, and breaking news feeds from Asahi Shimbun. 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 News Articles objects from asahi.com. All fields typed and schema-versioned.
"article_id": "AS20260512XYZ", "url": "https://www.asahi.com/articles/AS20260512XYZ.html", "headline": "日銀、金融政策の現状維持を決定", "author": "経済部", "published_at": "2026-05-12T14:30:00Z", "category": "business", "is_paywalled": false, "word_count": 842
| # | article_id | url | headline | subheadline | author | published_at |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Breaking News (Sokuhou) objects from asahi.com. All fields typed and schema-versioned.
"news_id": "FLASH987654", "headline": "東京株式市場、日経平均が一時3万円割れ", "published_at": "2026-05-12T09:15:22Z", "priority_level": "high", "category": "market", "url": "https://www.asahi.com/breaking/987654", "keywords": "['日経平均', '株式市場', '東京証券取引所']"
| # | news_id | headline | summary | published_at | source_desk | priority_level |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Author Profiles objects from asahi.com. All fields typed and schema-versioned.
"author_id": "AUTH_402", "name": "Taro Yamada", "name_kanji": "山田 太郎", "department": "政治部", "bio": "政治部記者。与党担当。", "article_count": 341, "twitter_handle": "@yamada_asahi"
| # | author_id | name | name_kanji | role | department | bio |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Sections & Categories objects from asahi.com. All fields typed and schema-versioned.
"section_id": "politics", "section_name": "政治", "url": "https://www.asahi.com/politics/", "trending_keywords": "['選挙', '国会', '内閣支持率']", "updated_at": "2026-05-12T15:00:00Z", "rss_feed_url": "https://rss.asahi.com/rss/asahi/politics.rdf"
| # | section_id | section_name | parent_section | url | top_articles | trending_keywords |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Editorials (Shasetsu) objects from asahi.com. All fields typed and schema-versioned.
"editorial_id": "ED20260512", "title": "（社説）少子化対策、実行の時", "published_date": "2026-05-12", "topic": "社会・政策", "word_count": 1250, "entities_mentioned": "['政府', '厚生労働省', 'こども家庭庁']", "sentiment_score": -0.2
| # | editorial_id | title | published_date | topic | body_text | sentiment_score |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our Asahi scraper handles complex Japanese text encoding, dynamic content loading, and strict paywall boundaries to deliver clean, normalised news corpora for analysis and LLM training.
Extract clean headlines, subheadlines, and body text. We strip out advertisements, navigation elements, and boilerplate to deliver pure article content.
Sub-minute polling on Asahi's breaking news feeds. Capture high-priority alerts and market-moving headlines the moment they are published.
Automatic handling of Shift-JIS to UTF-8 conversion, normalisation of full-width/half-width characters, and preservation of complex kanji structures.
Accurately flag Asahi Digital Premium articles. We extract available free text and metadata while explicitly marking gated content to prevent null-data errors.
Capture categories, internal tags, publication timestamps, and update histories to track how stories evolve after initial publication.
Extract author names, editorial desks, and contributor biographies. Track output volume and topics by specific journalists.
Deep crawl capabilities for Asahi's historical article database. Extract years of structured news data for longitudinal analysis.
Extract high-resolution image URLs, captions, and photographer credits embedded within news articles and galleries.
Capture internal linking structures and 'related news' modules to build knowledge graphs of connected events and topics.
Run one-off bulk exports for historical corpora or configure continuous pipelines at hourly or real-time cadences.
Brief in. Clean data out.
Provide target categories, date ranges, or specific keywords. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, Japan-based proxy rotation, and text normalisation logic for asahi.com.
Schema validation, Japanese character encoding checks, and paywall boundary verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Scraping Japanese media sites requires specific regional infrastructure and text handling. Here is how we ensure data quality.
Legacy Japanese web infrastructure often mixes encodings and character widths. Our pipeline automatically normalises full-width alphanumeric characters to half-width, handles obscure kanji variants, and ensures strict UTF-8 output without mojibake (garbled text).
Asahi serves different content or enforces stricter rate limits for non-domestic IPs. We route all requests through Japanese residential and mobile proxies to ensure we see the domestic version of the site without triggering geo-blocks.
Asahi Digital relies heavily on a hard paywall for Premium articles. Our scrapers detect the exact DOM boundaries of the paywall, extracting the free teaser text and metadata while explicitly flagging the record as gated, rather than returning broken or incomplete fields.
Category pages and search results on Asahi use JavaScript-heavy infinite scroll and lazy loading. We deploy Playwright to execute necessary JS, trigger pagination events, and hydrate the DOM before extraction.
Asahi uses various Japanese date formats (e.g., Reiwa era dates, relative time like '3 hours ago'). Our pipeline parses these into standard ISO 8601 UTC timestamps for immediate database ingestion.
AI research teams extract massive volumes of high-quality Japanese editorial text to train foundational language models and fine-tune NLP classifiers.
Quantitative hedge funds monitor breaking economic news and corporate announcements to trigger algorithmic trading strategies.
PR agencies and corporate comms teams track brand mentions, sentiment, and crisis events across national media coverage.
Think tanks and researchers analyse editorials and political coverage to track policy shifts, public sentiment, and election trends.
Strategy teams monitor specific industry categories for competitor product launches, executive changes, and market movements.
Sociologists and linguists use historical text corpora to study cultural shifts, language evolution, and media framing over time.
"Asahi Shimbun represents one of the highest-quality Japanese text corpora available — but extracting clean, structured text requires precise parsing and encoding management."
Most teams underestimate the complexity of scraping Japanese media. Handling full-width characters, dynamic pagination, paywall boundaries, and high-frequency breaking news requires specialised infrastructure. DataFlirt manages the extraction pipeline so your data science teams receive clean, analysis-ready Japanese text.
Everything supported by our asahi.com 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 high-throughput crawl orchestration and deduplication. Playwright handles JavaScript rendering for infinite scroll and dynamic category loading.
We maintain dedicated pools of Japanese residential proxies. Rotation happens per-request to ensure domestic content delivery and avoid IP bans.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. Text normalisation happens in-stream before warehouse delivery.
Data delivered to where your team already works — no new tooling required.
About asahi.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available news articles is generally permissible for analysis, indexing, and research purposes, provided it does not violate copyright law by republishing the content wholesale. DataFlirt extracts data for internal client analytics, NLP training, and metadata tracking. We do not bypass authentication to steal paid content. Clients should consult legal counsel regarding their specific use case and Japanese copyright law (which contains specific exceptions for text and data mining).
Our scrapers are programmed to detect the paywall boundary. We extract the headline, metadata, and the free teaser text available to public users. We explicitly flag the 'is_paywalled' boolean field as true, ensuring your dataset accurately reflects which articles are gated.
We handle all encoding translation at the pipeline layer. We normalise full-width alphanumeric characters to half-width, convert historical Shift-JIS where present, and output strict UTF-8 JSON or Parquet files. You will not receive mojibake or corrupted kanji.
Yes. We configure streaming pipelines that poll Asahi's 'Sokuhou' (breaking news) feeds at sub-minute intervals. New articles trigger immediate Webhook POST requests to your endpoints for low-latency financial or PR alerting.
We can crawl Asahi's public archives as far back as the site's pagination allows. For deep historical corpora spanning decades, we execute custom bulk-extraction runs using specific date-range search parameters.
We deliver in JSON, CSV, and Parquet. We can push directly to AWS S3, Google Cloud Storage, BigQuery, or Snowflake. For real-time monitoring, we support HTTP Webhooks.
Absolutely. We provide a sample run of up to 500 articles as part of the pre-engagement scoping process, allowing your data science team to validate the text encoding, schema fit, and field completeness.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a historical Japanese text corpus for LLM training or a real-time breaking news feed — we scope, build, and operate the pipeline. Tell us what you need.
