We extract full-text articles, author profiles, metadata, and historical archives from Hindustan Times. 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 hindustantimes.com. All fields typed and schema-versioned.
"article_id": "101684920148291", "headline": "RBI keeps repo rate unchanged at 6.5%", "author": "Business Desk", "published_date": "2026-04-12T10:30:00Z", "category": "Business", "tags": "['RBI', 'Repo Rate', 'Indian Economy']", "is_premium": false
| # | article_id | url | headline | subheadline | author | published_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Author Profiles objects from hindustantimes.com. All fields typed and schema-versioned.
"author_id": "auth_84921", "name": "Sunil Prabhu", "role": "Senior Editor", "bio": "Covers national politics and policy decisions from New Delhi.", "twitter_handle": "@sunilprabhu_ht", "article_count": 1420
| # | author_id | name | role | bio | twitter_handle | article_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Category Feeds objects from hindustantimes.com. All fields typed and schema-versioned.
"category_name": "Cities", "sub_category": "Delhi News", "trending_topics": "['Pollution', 'Metro', 'Monsoon']", "feed_timestamp": "2026-05-12T09:14:00Z", "total_results": 4829, "pagination_cursor": "pg_2"
| # | category_name | sub_category | top_story_url | trending_topics | feed_timestamp | article_urls |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for City Editions objects from hindustantimes.com. All fields typed and schema-versioned.
"city_name": "Mumbai", "edition_date": "2026-05-12", "local_headlines": "['BMC announces water cut', 'Traffic curbs in South Mumbai']", "weather_widget_data": "32C, Humid", "local_tags": "['BMC', 'Mumbai Local', 'Traffic']", "top_story": "https://www.hindustantimes.com/cities/mumbai-news/..."
| # | city_name | edition_date | local_headlines | local_authors | weather_widget_data | local_tags |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Multimedia objects from hindustantimes.com. All fields typed and schema-versioned.
"video_id": "vid_94821", "title": "Highlights: India wins T20 series", "duration": "04:12", "view_count": 84921, "published_date": "2026-05-11T20:00:00Z", "category": "Sports"
| # | video_id | title | duration | thumbnail_url | view_count | published_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Hindustan Times scraper navigates infinite scrolls, handles WAF blocks, and parses unstructured editorial layouts into clean, predictable schemas for NLP and media monitoring.
Extract clean, boilerplate-free article text. We strip out inline ads, read-more widgets, and social embeds to deliver pure content bodies.
Capture author names, roles, bios, and social handles. Track publication frequency and beat coverage per journalist.
Navigate sitemaps and date-based archives to extract years of historical news data for backtesting and model training.
Target specific regional editions (Delhi, Mumbai, Bengaluru, etc.) to monitor localised news, civic issues, and regional politics.
Extract keywords, tags, meta descriptions, and OpenGraph data attached to every article for precise categorisation.
Identify paywalled content automatically. We flag 'HT Premium' articles in the metadata so your pipelines handle them predictably.
Monitor live news feeds for updated timestamps. We capture diffs when breaking news articles are revised throughout the day.
Capture high-resolution featured image URLs, inline image captions, and embedded video links associated with the article.
Run one-off bulk historical exports or configure continuous pipelines at 5-minute cadences for real-time media monitoring.
Brief in. Clean data out.
Provide target categories, author profiles, or historical date ranges. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and session management for hindustantimes.com.
Schema validation, null-rate checks, and text-cleaning verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
News sites deploy aggressive caching and dynamic layouts. Here's how we ensure reliable text extraction without the noise.
Category pages and author feeds on Hindustan Times use JavaScript-driven infinite scroll. Our Playwright instances intercept the underlying XHR requests to paginate cleanly without rendering heavy DOM elements.
News articles are littered with 'Also Read' links, newsletter signups, and inline advertisements. We apply strict DOM parsing rules to extract only the editorial body text, ensuring high-quality input for NLP models.
High-volume scraping often triggers Akamai or Cloudflare rate limits. We distribute requests across Indian residential proxy pools and normalise TLS fingerprints to maintain uninterrupted access.
The sports section uses a different DOM structure than the business or astrology sections. We maintain section-specific fallback selectors to ensure data uniformity across the entire domain.
For live election coverage or sports matches, articles update constantly. We track the 'updated_date' timestamp and emit incremental diffs via webhook for real-time applications.
AI teams ingest decades of high-quality Indian English editorial content to train regional language models and sentiment classifiers.
PR agencies and corporate communications teams track brand mentions, executive quotes, and crisis developments in real time.
Hedge funds parse business and economic news feeds to extract macroeconomic signals, RBI policy updates, and corporate earnings sentiment.
Think tanks and researchers monitor election coverage, political sentiment, and regional city-level developments across India.
Media relations professionals track specific authors and beats to optimise press release targeting and relationship management.
Supply chain and risk intelligence platforms monitor local city editions for reports of strikes, weather events, or infrastructure disruptions.
"Hindustan Times publishes thousands of articles daily across dozens of city editions — an invaluable corpus for NLP models, provided you can parse the unstructured DOM."
News extraction requires handling dynamic infinite scrolls, aggressive CDN caching, and layout variations across editorial sections. DataFlirt manages proxy rotation, schema normalisation, and incremental diffs so your data science teams receive clean text corpora without building custom scrapers.
Everything supported by our hindustantimes.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, infinite scroll, and XHR interception. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across Indian regions. Rotation happens per-request to bypass Akamai and Cloudflare WAF restrictions.
Pipelines run on AWS Lambda (burst) and ECS (sustained). 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 hindustantimes.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available news headlines, metadata, and factual reporting is generally permissible under fair use and applicable laws. DataFlirt targets only public, non-authenticated content. We do not bypass paywalls or extract personally identifiable information of readers. Clients should review publisher ToS and consult legal counsel for specific commercial use cases.
We can extract the metadata, headline, and publicly visible summary of HT Premium articles. However, we do not bypass authentication walls to scrape the full paywalled text, as this violates our terms of service.
Hindustan Times maintains extensive digital archives. We can systematically traverse these date-based sitemaps to extract articles dating back over 15 years, depending on the specific category and URL structure availability.
For real-time media monitoring, we configure pipelines to poll specific category feeds or RSS endpoints at 5-minute intervals. New articles are pushed immediately to your systems via Webhook.
Yes. Our extraction pipelines strip out inline advertisements, navigation menus, footer text, social media embeds, and 'read more' promotional links, delivering clean, contiguous strings of editorial body text.
We use multi-layer fallback chains for our DOM selectors. If Hindustan Times redesigns a section, our automated monitoring detects schema drift or null-rate spikes, and our engineers update the selectors — often before your scheduled delivery.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off historical archive dump or a continuous real-time feed of breaking news — we scope, build, and operate the pipeline. Tell us what you need.
