We extract full article text, publication metadata, author intelligence, and public comments from the Times of India network. 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 timesofindia.indiatimes.com. All fields typed and schema-versioned.
"article_id": "104928371", "headline": "Markets hit new lifetime highs amid strong global cues", "author": "TOI Business Desk", "publish_date": "2026-05-14T08:30:00Z", "category": "Business", "sub_category": "India Business", "tags": "['Sensex', 'Nifty', 'Stock Market', 'RBI']"
| # | article_id | url | headline | subheadline | author | publish_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Authors objects from timesofindia.indiatimes.com. All fields typed and schema-versioned.
"author_id": "AUTH_9821", "name": "Siddharth Sharma", "role": "Senior Editor", "article_count": 1432, "location": "New Delhi", "twitter_handle": "@sidsharma_toi", "profile_url": "https://timesofindia.indiatimes.com/toireporter/author-Siddharth-Sharma.cms"
| # | author_id | name | profile_url | role | article_count | recent_articles |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Categories objects from timesofindia.indiatimes.com. All fields typed and schema-versioned.
"section_name": "Bengaluru News", "parent_section": "City", "region": "Karnataka", "top_headline": "Traffic diversions announced for upcoming marathon", "trending_topics": "['BBMP', 'Traffic Police', 'Weather']", "last_updated": "2026-05-14T09:15:22Z"
| # | section_name | url | top_headline | article_count | trending_topics | last_updated |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Comments objects from timesofindia.indiatimes.com. All fields typed and schema-versioned.
"comment_id": "CMT_8839210", "article_id": "104928371", "user_name": "Rajesh K", "comment_text": "This rally seems disconnected from the actual macroeconomic indicators.", "upvotes": 42, "downvotes": 3, "timestamp": "2026-05-14T10:05:00Z"
| # | comment_id | article_id | user_name | comment_text | timestamp | upvotes |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Search Results objects from timesofindia.indiatimes.com. All fields typed and schema-versioned.
"keyword": "electric vehicles policy", "rank": 1, "article_id": "104911220", "headline": "Govt announces new subsidies for EV manufacturing", "section": "Auto", "publish_date": "2026-05-12T14:20:00Z", "match_score": 0.94
| # | keyword | rank | article_id | headline | snippet | publish_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Times of India is a high-volume news ecosystem with heavy ad-loads and varied DOM structures. Our pipeline strips the bloat, normalises the text, and delivers structured editorial data.
Extract clean body text, headlines, and subheadlines while filtering out injected ads, recommended read widgets, and promotional banners.
Capture bylines, author profile URLs, and publication timestamps to map journalist coverage areas and publication frequency.
Target specific city subdomains and sections. Extract hyper-local news coverage across Mumbai, Delhi, Bengaluru, Chennai, and tier-2 cities.
Extract user comments, upvote/downvote ratios, and timestamps from dynamic discussion threads for sentiment analysis.
Capture editorial tags and topic keywords assigned to each article to build taxonomy graphs and track trending subjects.
Monitor the homepage and top-level category feeds at high frequency to capture breaking news within minutes of publication.
Extract high-resolution image URLs, captions, and embedded video identifiers associated with the core article.
Navigate infinite scroll pagination on category pages and author profiles to ensure complete historical data capture.
Configure hourly, daily, or weekly pipeline runs. Push clean JSON or Parquet directly into your data warehouse.
Brief in. Clean data out.
Provide target sections, keywords, author lists, or historical date ranges. We map the extraction schema.
We configure Scrapy / Playwright crawlers, implement ad-blocker rules to save compute, and handle pagination.
Schema validation, null-rate checks on article body text, and timestamp normalisation before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting clean text from timesofindia.indiatimes.com requires navigating dense ad networks, dynamic content loading, and varied page templates.
TOI pages load dozens of third-party trackers and ad scripts. Our Playwright instances block these network requests at the browser level, reducing page load times by 80% and preventing dynamic DOM shifts during extraction.
Comments and subsequent articles load dynamically via AJAX as the user scrolls. We intercept these background API calls directly, extracting the raw JSON payloads rather than scraping the rendered HTML, ensuring higher speed and accuracy.
The DOM structure for a 'City' news article differs entirely from an 'Entertainment' gallery or a 'Business' live blog. We maintain specific parser classes for each TOI sub-template, routing the HTML to the correct extraction logic automatically.
Publish dates appear in various formats ('2 hours ago', 'Updated: May 14, 2026', 'IST 14:30'). Our pipeline parses and converts all temporal data into standard ISO 8601 UTC timestamps for consistent database ingestion.
We automatically detect TOI+ premium articles. Instead of returning truncated text, the pipeline flags the record as gated, extracting all available metadata (headline, author, tags) while explicitly marking the body as inaccessible.
Agencies track brand mentions, executive quotes, and crisis coverage across national and regional city editions.
AI researchers ingest massive volumes of Indian English editorial text to train regional language models and classification systems.
Financial analysts correlate news sentiment and public comments on business articles with market movements and policy announcements.
Brands monitor competitor product launches, funding announcements, and leadership changes reported in the business and tech sections.
Supply chain and risk management platforms parse hyper-local city news for reports of protests, infrastructure failures, or weather disruptions.
PR professionals build databases of authors, tracking their publication frequency and specific topic beats for targeted pitching.
"Times of India represents the largest digital news corpus in the subcontinent, but extracting clean text from its ad-heavy DOM requires precision engineering."
Most teams fail at parsing TOI due to heavy JavaScript ad injection, infinite scroll layouts, and inconsistent DOM structures across City, Business, and Entertainment sections. DataFlirt strips the noise, parses the core editorial content, and delivers structured text ready for NLP pipelines. You get clean data, not HTML soup.
Everything supported by our timesofindia.indiatimes.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 manages URL queues and deduplication. Playwright handles the heavy DOM, executing JavaScript only where necessary and blocking ads to optimise compute.
We configure browser contexts to drop requests to known ad networks and tracking pixels, speeding up page hydration and reducing proxy bandwidth costs.
Pipelines run on Kubernetes clusters. Airflow handles scheduling for high-frequency homepage checks versus deep historical archive crawls.
Data delivered to where your team already works — no new tooling required.
About timesofindia.indiatimes.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available news articles and metadata is generally permissible for analysis and non-competing use cases. DataFlirt extracts only public, non-authenticated data. We do not bypass paywalls (TOI+) or extract PII beyond public author bylines. Clients must ensure their downstream use complies with copyright law and TOI's terms of service.
Our pipeline identifies the TOI+ paywall boundary. For these articles, we extract the available public metadata (headline, author, publish date, tags, snippet) and flag the record as 'gated=true', omitting the truncated body text.
Yes. We can crawl the Times of India archives by date or search parameters to build historical datasets spanning years, useful for NLP training or long-term sentiment analysis.
For time-sensitive use cases, we configure pipelines to poll specific category feeds or the homepage at high frequency (e.g., every 5 minutes), delivering new articles via Webhook immediately upon detection.
Yes. We intercept the AJAX calls responsible for loading user comments, capturing the comment text, user name, timestamp, and upvote/downvote scores.
We use Playwright's network interception capabilities to block requests to known ad servers, video auto-players, and tracking scripts. This ensures the pipeline only downloads editorial content, improving reliability.
We typically engage for continuous monitoring pipelines or large-scale historical extractions (e.g., 50,000+ articles). Contact us with your specific URL list, keyword set, or category requirements for a scoped quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a historical archive of business news or a real-time feed of city coverage — we scope, build, and operate the extraction. Tell us what you need.
