We extract full article text, author profiles, comment threads, Wirecutter recommendations, and NYT Cooking recipes. 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 nytimes.com. All fields typed and schema-versioned.
"url": "https://www.nytimes.com/2026/05/12/technology/ai-infrastructure.html", "headline": "The Next Era of Compute Infrastructure", "author_name": "Cade Metz", "publish_date": "2026-05-12T14:30:00Z", "section": "Technology", "word_count": 1420, "tags": "['Artificial Intelligence', 'Data Centers', 'Semiconductors']"
| # | url | headline | subheadline | author_name | publish_date | modified_date |
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Complete list of extractable fields for Authors objects from nytimes.com. All fields typed and schema-versioned.
"author_id": "cade-metz", "name": "Cade Metz", "title": "Technology Correspondent", "bio": "Cade Metz is a technology correspondent covering artificial intelligence, driverless cars, robotics, virtual reality, and other emerging areas.", "twitter_handle": "@cademetz", "article_count": 412, "latest_article_url": "https://www.nytimes.com/2026/05/12/technology/ai-infrastructure.html"
| # | author_id | name | title | bio | twitter_handle | article_count |
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Complete list of extractable fields for Comments objects from nytimes.com. All fields typed and schema-versioned.
"comment_id": "11849201", "article_url": "https://www.nytimes.com/2026/05/12/technology/ai-infrastructure.html", "user_name": "Jane Doe", "user_location": "San Francisco, CA", "comment_body": "This analysis misses the constraints on power grids.", "timestamp": "2026-05-12T15:45:22Z", "upvotes": 342, "ny_times_pick": true
| # | comment_id | article_url | user_name | user_location | comment_body | timestamp |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Wirecutter objects from nytimes.com. All fields typed and schema-versioned.
"product_name": "Sony WH-1000XM5", "category": "Electronics > Headphones", "review_url": "https://www.nytimes.com/wirecutter/reviews/best-wireless-headphones/", "top_pick_status": "Top Pick", "price": 349.99, "pros": "['Excellent noise cancellation', 'Comfortable fit']", "update_date": "2026-04-10T09:00:00Z"
| # | product_name | category | review_url | top_pick_status | price | retailer_links |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for NYT Cooking objects from nytimes.com. All fields typed and schema-versioned.
"recipe_name": "Classic Roast Chicken", "author": "Melissa Clark", "yield": "4 servings", "prep_time": "15 minutes", "rating": 4.8, "review_count": 12450, "tags": "['Dinner', 'Chicken', 'Roast']"
| # | recipe_name | author | yield | prep_time | ingredients | instructions |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our NYT scraper handles every layer of the publication: standard articles, interactive graphics, Wirecutter reviews, NYT Cooking recipes, and deeply nested comment threads.
Capture body text, subheadings, blockquotes, and inline media descriptions with perfect structural fidelity.
Parse complex bylines to extract individual author profiles, bios, social handles, and historical article counts.
Extract paginated comment threads, including nested replies, upvote counts, user locations, and NYT Pick status.
Extract top picks, pricing, pros, cons, and affiliate retailer links from Wirecutter review pages.
Structure ingredients, step-by-step instructions, yield, prep times, and user ratings from the cooking section.
Map articles to their primary sections, subsections, and specific topic tags for precise categorisation.
Extract high-resolution image URLs, captions, video links, and interactive graphic references.
Bypass strict article meter limits using advanced session management and residential IP rotation.
Track original publication dates alongside subsequent modification and correction timestamps.
Brief in. Clean data out.
Provide section URLs, author profiles, search queries, or historical date ranges. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and paywall handling for nytimes.com.
Schema validation, null-rate checks, and normalisation across different article templates before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
News sites heavily protect their content and use complex, dynamic templates. Here is how we stay resilient.
NYT enforces strict article limits. We use residential ISP proxies with realistic browser fingerprints and full cookie session management to ensure uninterrupted access across millions of URLs.
Comments, interactive graphics, and NYT Cooking features require full DOM execution. We run Playwright browser sessions to trigger lazy-loads and capture data that headless HTTP clients miss entirely.
The Upshot, standard articles, and interactive features use different DOM structures. Our selector strategy uses multiple fallback chains per field so a layout change does not break your data pipeline.
News articles are updated frequently after publication. We maintain a hash index of last-seen values per field. Subsequent runs only push diffs, providing a clean changelog of article revisions.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, schema drift, and coverage drops, responding before you notice.
AI teams use the high-quality editorial text corpus to train language models, sentiment classifiers, and summarisation engines.
PR firms and corporate intelligence teams track brand mentions, executive quotes, and narrative trends across major publications.
Researchers mine the comment sections to gauge public opinion on political events, cultural shifts, and economic policies.
Publishers analyse NYT content strategy, publication frequency, and topic coverage to benchmark their own editorial operations.
Retailers and manufacturers track Wirecutter reviews and top picks to monitor product reception and competitor positioning.
Sociologists and political scientists track long-term linguistic shifts, framing differences, and topic prominence over decades of archives.
"The New York Times provides the highest quality English language text corpus available today, but extracting structured metadata across decades of archives requires serious infrastructure."
Most teams underestimate the investment required to build a reliable news scraper. Handling strict paywalls, React hydration for comment threads, and multi-template normalisation across interactive articles requires dedicated engineering. DataFlirt absorbs that complexity so your data scientists can focus on model training and analysis, not proxy rotation.
Everything supported by our nytimes.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, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows for comments.
We maintain pools of residential ISP proxies across US regions. Rotation happens per-request with sticky sessions to bypass article meter limits safely.
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 nytimes.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information is generally permissible under applicable law, reinforced by the hiQ v. LinkedIn ruling. DataFlirt targets only public, non-authenticated editorial data. We do not extract personal user data or circumvent strict authentication walls. Clients should review NYT Terms of Service and consult legal counsel for specific use cases.
We use residential ISP proxies and strict session management to rotate identities before hitting the article meter limit. This ensures consistent access to the public-facing content without requiring paid subscriber credentials.
Yes. We execute full JavaScript rendering to load the React-based comment application, extracting all paginated threads, nested replies, upvotes, and NYT Pick badges.
Yes. Interactive graphics and data journalism pieces often use bespoke DOM structures. Our selectors are built to normalise these edge cases, extracting the core text and metadata regardless of the visual presentation.
Yes. We extract product names, top pick status, pros, cons, pricing, and affiliate retailer links from all Wirecutter review categories.
Real-time streaming pipelines achieve sub-15-minute latency for new article publication monitoring. Full historical archive dumps depend on the requested date range and volume.
Yes. We maintain hash signatures for article body text. If an article is updated post-publication, we capture the diff and emit a new record with the modified timestamp.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off historical archive dump for NLP training or a continuous real-time feed for media monitoring, we scope, build, and operate the pipeline. Tell us what you need.
