We extract full text, author metadata, publication timestamps, and category tags from theage.com.au. 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 theage.com.au. All fields typed and schema-versioned.
"url": "https://www.theage.com.au/politics/federal/example-article", "headline": "Federal budget targets inflation", "author": "Jane Doe", "published_date": "2026-05-12T09:14:00Z", "category": "Politics", "tags": "['Federal Budget', 'Inflation', 'Economy']", "word_count": 1240
| # | url | headline | subheadline | author | published_date | updated_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Author Metadata objects from theage.com.au. All fields typed and schema-versioned.
"name": "Jane Doe", "role": "Chief Political Correspondent", "twitter_handle": "@janedoe", "bio": "Jane covers federal politics and economic policy.", "article_count": 452, "profile_image": "https://static.theage.com.au/author/jane-doe.jpg"
| # | author_id | name | role | twitter_handle | bio | |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Comments & Engagement objects from theage.com.au. All fields typed and schema-versioned.
"comment_id": "c_9823749", "user_name": "MelbourneReader", "comment_text": "This budget fails to address housing affordability.", "timestamp": "2026-05-12T10:22:00Z", "upvotes": 45, "is_subscriber": true
| # | comment_id | article_id | user_name | comment_text | timestamp | upvotes |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Market News objects from theage.com.au. All fields typed and schema-versioned.
"ticker": "BHP", "company_name": "BHP Group", "sentiment_score": 0.65, "sector": "Mining", "published_date": "2026-05-12T08:30:00Z", "author": "John Smith"
| # | ticker | company_name | mention_context | sentiment_score | related_articles | sector |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search Results objects from theage.com.au. All fields typed and schema-versioned.
"keyword": "interest rates", "position": 1, "headline": "RBA holds cash rate steady", "section": "Business", "date": "2026-05-11", "author": "Jane Doe"
| # | keyword | position | article_url | headline | snippet | date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our scraper handles the complexities of Nine Entertainment's web properties, parsing clean article text, bypassing soft blocks, and extracting structured metadata from dynamic layouts.
Capture headline, subheadline, body paragraphs, and blockquotes while stripping out advertisements and promotional modules.
Extract bylines, roles, and profile metadata to track specific journalists and opinion writers over time.
Parse image URLs, captions, and embedded video metadata directly from the article DOM.
Index articles by primary section, sub-section, and topical tags for precise filtering.
Extract user comments, upvotes, timestamps, and subscriber badges from loaded comment sections.
Isolate financial reporting and market updates from the Business section for sentiment analysis.
Recognise and normalise cross-posted content from other Nine network properties like The Sydney Morning Herald.
Run hourly or daily pipelines to capture breaking news and subsequent article revisions.
Convert complex CMS layouts into clean, normalised JSON structures ready for NLP processing.
Brief in. Clean data out.
Provide target sections, authors, or keyword lists. We design the extraction schema together.
We configure Scrapy and Playwright crawlers, proxy rotation, and DOM parsing logic for theage.com.au.
Schema validation, null-rate checks, and text completeness verification before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
News publishers employ complex CMS structures and dynamic loading. Here is how we ensure reliable data extraction.
Comments and certain interactive visualisations on The Age require JavaScript execution. We run full browser sessions to trigger lazy-loading and capture user engagement metrics.
Publisher layouts change frequently for special features and long-form journalism. Our selector strategy uses fallback chains to ensure body text is always captured regardless of template variations.
High-frequency scraping triggers security blocks. We distribute requests across Australian residential IP pools with randomised timing to mimic normal reading behaviour.
Raw HTML contains significant noise. Our pipeline strips out inline advertisements, newsletter signups, and related-article widgets to deliver clean article text.
We monitor schema drift and null rates in real time. If a section redesign breaks extraction, our team is alerted and deploys fixes rapidly.
PR agencies and corporate communications teams track brand mentions and executive coverage across major Australian publications.
Financial analysts process business and political news to gauge market sentiment and predict policy impacts.
Hedge funds extract company mentions and economic reporting to inform algorithmic trading models.
Media researchers monitor specific journalists to analyse reporting bias, topic frequency, and publication volume.
Machine learning teams use high-quality, professionally edited news text to train large language models on Australian vernacular.
Publishers monitor article output, topic coverage, and author productivity to benchmark against Nine Entertainment properties.
"The Age represents a critical historical and real-time record of Australian political discourse. None of it is queryable unless you build the pipeline."
Extracting data from modern news publishers requires navigating dynamic content loading and complex DOM structures tied to specific CMS platforms. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our theage.com.au 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 manages JavaScript rendering for dynamic comments and lazy-loaded images.
We maintain pools of residential ISP proxies across AU regions to prevent rate limiting and maintain access to regional content.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About theage.com.au scraping, legality, and pipeline operations.
Ask us directly →DataFlirt only extracts publicly accessible information. We do not use stolen credentials or hack paywalls. We extract available preview text, metadata, and fully public articles as presented to non-authenticated users or search engine crawlers.
We can configure pipelines to run hourly for breaking news sections, or daily for comprehensive site-wide sweeps. Webhook delivery ensures you receive data immediately after extraction.
Yes. Our parsing logic can be adapted for The Sydney Morning Herald, Brisbane Times, and WAtoday, providing a unified schema across the network.
We track the 'updated_date' timestamp and can re-scrape URLs to capture editorial changes, appending them as new versions in your database.
Yes. We use headless browsers to render and extract the comment section, including user names, timestamps, text, and upvote counts.
Engagements typically start with a defined section or keyword list with daily delivery. Contact us with your specific data requirements for a custom quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a historical archive dump or a continuous feed of Australian political coverage, we scope, build, and operate the pipeline. Tell us what you need.
