We extract full text articles, author metadata, F+ paywall flags, financial news, and comment threads from FAZ.NET. 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 faz.net. All fields typed and schema-versioned.
"url": "https://www.faz.net/aktuell/politik/inland/example-article.html", "headline": "Die neuen Beschlüsse der Regierung", "author": "Eckart Lohse", "published_at": "2026-05-12T08:30:00Z", "category": "Politik", "is_fplus": false, "reading_time_mins": 4
| # | url | headline | subheadline | author | published_at | updated_at |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Authors objects from faz.net. All fields typed and schema-versioned.
"name": "Eckart Lohse", "profile_url": "https://www.faz.net/redaktion/eckart-lohse-1111.html", "role": "Verantwortlicher Redakteur", "twitter_handle": "@example_handle", "article_count": 842, "bio": "Berichtet über die Innenpolitik aus Berlin."
| # | author_id | name | profile_url | role | bio | twitter_handle |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Comments objects from faz.net. All fields typed and schema-versioned.
"comment_id": "c_9823471", "username": "KlausMuller88", "text": "Das sehe ich völlig anders. Die wirtschaftlichen Folgen sind nicht absehbar.", "timestamp": "2026-05-12T09:15:22Z", "upvotes": 42, "is_reply": false
| # | comment_id | article_url | username | text | timestamp | upvotes |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Financial News objects from faz.net. All fields typed and schema-versioned.
"ticker_symbol": "DAX", "company_name": "Deutsche Börse", "headline": "DAX schließt im Plus nach EZB Entscheidung", "market_sentiment": "positive", "published_at": "2026-05-12T17:45:00Z", "related_tickers": "['BMW', 'SAP', 'ALV']"
| # | ticker_symbol | company_name | article_url | headline | market_sentiment | published_at |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search Results objects from faz.net. All fields typed and schema-versioned.
"keyword": "Zinssenkung", "rank": 1, "article_url": "https://www.faz.net/aktuell/finanzen/ezb-zinsen.html", "headline": "EZB senkt den Leitzins", "date": "2026-05-12", "category": "Finanzen"
| # | keyword | rank | article_url | headline | snippet | date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our FAZ.NET scraper handles German news extraction at scale. We parse complex article layouts, manage F+ paywall logic, and extract deeply nested comment threads with full JavaScript rendering.
Body text, headings, blockquotes, and inline images. Extracted at URL level with strict category mapping.
Identify gated versus free content accurately. Extract public metadata and snippets without violating access controls.
Names, roles, profiles, and social links. Track journalist output and specialisations over time.
Extract user discussions, upvotes, and reply chains. Requires full JavaScript execution for dynamic loading.
Categories like Politik and Wirtschaft. Precise publication and modification timestamps for temporal analysis.
Extract market news, ticker associations, and company mentions from the Finanzen section.
High resolution image URLs, captions, and photographer credits tied to specific editorial contexts.
Crawl historical sitemaps for past data. Reconstruct timelines over years of German media coverage.
Run one off historical exports or configure continuous pipelines at hourly cadences for media monitoring.
Brief in. Clean data out.
Provide target sections, keywords, or date ranges. We design the extraction schema together.
We configure Scrapy and Playwright crawlers, proxy rotation, and UTF-8 normalisation for German text.
Schema validation, null rate checks, encoding verification, and payload inspection before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
News scraping requires strict adherence to changing DOMs, paywall logic, and bot defences. Here is how we maintain data integrity.
Our crawlers use residential ISP proxies located in Germany with realistic browser fingerprints trained on actual user behaviour. This prevents blocklisting and ensures access to region locked media.
We detect F+ articles via metadata flags. We extract the available public snippet and categorise the record as gated without attempting unauthorised access or credential stuffing.
FAZ.NET comments load via dynamic asynchronous requests. We run full Playwright browser sessions with JavaScript execution to expand nested threads and capture complete discussions.
Article templates vary across standard news, live blogs, and multimedia pieces. We use fallback selector chains to ensure stable extraction regardless of the specific layout.
Strict UTF-8 handling guarantees clean extraction of German umlauts and special characters. We ensure no malformed text enters your downstream NLP pipelines.
Track brand mentions, executive coverage, and crisis PR across top tier German media.
Correlate FAZ Wirtschaft news sentiment with DAX market movements and specific ticker symbols.
Train German language models on high quality editorial corpora and complex sentence structures.
Analyse coverage bias, entity mentions, and public reaction in the comment sections.
Track how competitors are covered in DACH publications to refine corporate messaging.
Perform longitudinal studies on media discourse, topic frequency, and editorial trends over time.
"Frankfurter Allgemeine Zeitung represents the highest quality German editorial data. Extracting it requires navigating complex layouts, strict bot defences, and dynamic paywalls."
News scraping fails when teams rely on simple HTTP clients that break on modern JavaScript heavy media sites. DataFlirt manages the residential proxies, browser rendering, and selector maintenance required to extract clean, UTF-8 compliant text from FAZ.NET at scale. You focus on NLP and analysis. We handle the infrastructure.
Everything supported by our faz.net 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 retry logic. Playwright handles JavaScript rendering and dynamic content expansion.
We maintain pools of residential ISP proxies across Germany. Rotation happens per request to bypass rate limits.
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 faz.net scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information is generally permissible. DataFlirt targets only public, non authenticated editorial data. We do not bypass F+ paywalls or extract personal user data. Clients should review terms of service and consult legal counsel.
We extract the headline, public snippet, and metadata, flagging the record as F+. We do not bypass the paywall to extract gated body text.
Our pipelines enforce strict UTF-8 encoding. All umlauts and special characters are preserved natively without corruption.
Yes. We use Playwright to execute the JavaScript required to load and expand nested comment threads, capturing text, timestamps, and upvote metrics.
We can configure pipelines to poll RSS feeds or specific category pages hourly, ensuring you receive breaking news records within minutes of publication.
Yes. We traverse historical sitemaps to extract articles dating back years, providing a complete corpus for NLP training or longitudinal research.
Yes. We build pipelines for Süddeutsche Zeitung, Die Welt, NZZ, and other major German language publications using unified schemas.
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. We scope, build, and operate the pipeline. Tell us what you need.
