We extract news articles, opinion pieces, author histories, and comment corpora from Haaretz. 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 haaretz.com. All fields typed and schema-versioned.
"article_id": "1.10234567", "url": "https://www.haaretz.com/israel-news/...", "title": "New Legislation Proposed in Knesset", "author": "Amir Tibon", "publish_date": "2026-05-12T08:30:00Z", "section": "Israel News", "paywalled": true
| # | article_id | url | title | subtitle | author | publish_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Authors objects from haaretz.com. All fields typed and schema-versioned.
"author_id": "A4592", "name": "Anshel Pfeffer", "role": "Senior Correspondent", "twitter_handle": "@AnshelPfeffer", "article_count": 842, "latest_article_date": "2026-05-11T14:20:00Z"
| # | author_id | name | role | bio | twitter_handle | article_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Comments objects from haaretz.com. All fields typed and schema-versioned.
"comment_id": "C982374", "article_id": "1.10234567", "user_name": "TelAvivReader", "comment_text": "This analysis misses the broader economic context.", "timestamp": "2026-05-12T09:15:22Z", "upvotes": 45, "downvotes": 3
| # | comment_id | article_id | user_name | comment_text | timestamp | upvotes |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Live Blogs objects from haaretz.com. All fields typed and schema-versioned.
"blog_id": "LB562", "title": "Live Updates: Election Day", "status": "active", "start_time": "2026-11-03T05:00:00Z", "event_count": 124, "latest_update_time": "2026-11-03T18:45:00Z", "section": "Elections"
| # | blog_id | title | status | start_time | end_time | event_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Topics & Tags objects from haaretz.com. All fields typed and schema-versioned.
"tag_id": "T892", "tag_name": "Supreme Court", "url": "https://www.haaretz.com/tags/supreme-court", "article_count": 1450, "category": "Judiciary", "trending_score": 88.5, "last_updated": "2026-05-12T10:00:00Z"
| # | tag_id | tag_name | url | article_count | related_tags | trending_score |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Our Haaretz pipeline processes bilingual content, dynamic live blogs, and strict paywalls to deliver structured text data for your NLP and media monitoring workflows.
Capture complete article bodies, subtitles, pull quotes, and embedded media captions across all sections and opinion pieces.
Extract content from both the English (haaretz.com) and Hebrew (haaretz.co.il) editions with appropriate character encoding.
Track journalist output, biographical data, social handles, and historical publication frequencies.
Parse user comments, upvote metrics, and reply hierarchies to gauge reader sentiment and engagement.
Monitor continuous news feeds, extracting individual timestamped updates and event markers as they happen.
Capture tags, categories, publication timestamps, update histories, and related article links.
Manage authenticated sessions and cookie jars to access premium content for licensed users.
Extract audio metadata, episode descriptions, and embedded video URLs from multimedia features.
Run deep crawls across archival pages to build extensive historical datasets for training models.
Brief in. Clean data out.
Provide section URLs, specific tags, author lists, or date ranges. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, session management, and authentication handling for haaretz.com.
Schema validation, null rate checks, language encoding verification, and sample datasets before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
News sites deploy dynamic loading and strict access controls. Here is how we maintain data flow.
Haaretz uses strict paywalls. We manage authenticated sessions, rotate cookies, and handle token expiration automatically to ensure uninterrupted access to full text content for authorized clients.
Live blogs and comment sections load dynamically via JavaScript. We use Playwright to execute page scripts, trigger infinite scrolls, and capture asynchronous XHR responses.
Handling both English and Hebrew content requires strict encoding standards. Our pipeline normalises all text to UTF-8, stripping invisible characters and preserving bidirectional text formatting.
To avoid rate limits and IP bans, we route requests through residential proxies located in Israel and the US, mimicking natural reader traffic patterns.
News articles are frequently updated after initial publication. We track update timestamps and hash body content to emit new records only when substantial edits occur.
AI teams ingest high quality bilingual news corpora to train large language models and translation engines.
PR agencies and corporate communications teams track brand mentions, geopolitical events, and crisis developments.
Quantitative analysts parse opinion pieces and comment threads to gauge public sentiment on specific policies or market events.
Political scientists and historians analyse publication trends, author bias, and editorial shifts over long time horizons.
Risk management platforms use live blog data to detect and alert on emerging geopolitical incidents in real time.
Other media organisations monitor publication velocity, topic coverage, and author engagement metrics.
"Haaretz provides critical geopolitical reporting and opinion data, but extracting it requires navigating strict paywalls and bilingual site architectures."
News media extraction requires handling complex DOM structures, continuous live blog updates, and aggressive anti-bot measures. DataFlirt manages the proxy rotation, session persistence, and parsing logic so your data science teams receive clean text corpora ready for NLP pipelines.
Everything supported by our haaretz.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 crawl orchestration and deduplication. Playwright handles JavaScript rendering for dynamic comments and live blogs. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies. Rotation happens per request with sticky sessions where authenticated access is required to bypass rate limits.
Pipelines run on AWS Lambda and ECS. 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 haaretz.com scraping, legality, and pipeline operations.
Ask us directly →Yes, provided you supply valid authentication credentials for an account with the appropriate subscription access. We manage the session cookies and token rotation to extract the full text.
Yes. Our pipeline can target haaretz.com (English) and haaretz.co.il (Hebrew). We ensure proper UTF-8 encoding and handle right to left text structures appropriately.
For actively monitored live blogs, we can configure polling intervals as frequent as every 5 minutes, delivering new updates via Webhook or streaming directly to your database.
Yes. We parse the comment sections, including user names, timestamps, comment text, upvote counts, and nested reply structures.
We can extract historical archives as far back as the site taxonomy allows. Deep historical crawls are typically executed as one off batch processes before continuous monitoring begins.
We track publication and modification timestamps. If an article is updated, we capture the new version and emit a fresh record, allowing you to track editorial changes over time.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a full historical archive dump or continuous live blog monitoring, we scope, build, and operate the pipeline. Tell us what you need.
