We extract breaking news, editorial archives, author profiles, video metadata, and fact-check reports from India Today. 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 & News objects from indiatoday.in. All fields typed and schema-versioned.
"article_id": "IT-849201", "headline": "RBI holds repo rate steady at 6.5%", "subheadline": "The central bank maintains status quo on interest rates for the sixth consecutive time.", "author": "Business Desk", "publish_date": "2026-02-08T10:30:00Z", "category": "Business", "word_count": 845, "tags": "['RBI', 'Repo Rate', 'Economy', 'Shaktikanta Das']"
| # | article_id | url | headline | subheadline | author | publish_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Author Profiles objects from indiatoday.in. All fields typed and schema-versioned.
"author_id": "AUTH-492", "name": "Rajdeep Sardesai", "designation": "Consulting Editor", "twitter_handle": "@sardesairajdeep", "article_count": 1240, "location": "New Delhi", "recent_articles": "['IT-849201', 'IT-849155']"
| # | author_id | name | profile_url | designation | bio | twitter_handle |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Video & Media objects from indiatoday.in. All fields typed and schema-versioned.
"video_id": "VID-99382", "title": "Prime Time Debate: State Elections 2026", "duration_seconds": 2450, "upload_date": "2026-04-12T20:00:00Z", "show_name": "News Today", "category": "Politics", "view_count": 450210
| # | video_id | title | description | duration_seconds | upload_date | view_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Fact Check objects from indiatoday.in. All fields typed and schema-versioned.
"claim": "Viral video shows new bridge collapse in Mumbai", "rating": "False", "conclusion": "The video is from a 2018 incident in a different country.", "publish_date": "2026-05-01T14:15:00Z", "fact_checker": "AFWA Team", "viral_platform": "WhatsApp"
| # | fact_id | claim | rating | conclusion | publish_date | fact_checker |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Magazine Archive objects from indiatoday.in. All fields typed and schema-versioned.
"issue_date": "2026-01-15", "cover_story_title": "The Tech Decade", "volume": "49", "page_count": 120, "price_inr": 150, "digital_available": true, "articles_list": "['IT-MAG-101', 'IT-MAG-102']"
| # | issue_id | issue_date | cover_story_title | editor_note | articles_list | page_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our India Today scraper handles high-frequency feed polling, deep archive pagination, and ad-tech evasion to deliver clean, structured editorial data.
Headlines, subheadlines, bylines, publication timestamps, and clean body text stripped of ad injections and promotional widgets.
Monitor breaking news feeds and live blogs with sub-minute latency to capture updates as they are published.
Extract claims, verdicts, and source citations from the Anti Fake News War Room (AFWA) section.
Map articles to specific journalists. Track publication frequency, topics covered, and author metadata.
Capture titles, descriptions, upload dates, and view counts from the India Today video and Live TV sections.
Traverse historical sitemaps and search pagination to extract decades of archival reporting and magazine issues.
Extract data across the network including India Today (English), Aaj Tak (Hindi), and regional language portals.
Capture internal category structures, keywords, and topic tags assigned to each article for NLP classification.
Track stealth edits. We capture update timestamps and diff article bodies to log post-publication modifications.
Brief in. Clean data out.
Provide categories, author names, or date ranges. We design the extraction schema together.
We configure Scrapy crawlers, CDN cache-busting logic, and proxy rotation for indiatoday.in.
Schema validation, null-rate checks, and text-cleanliness verification before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
News publishers deploy heavy caching and ad-tech. Here is how we ensure clean data extraction.
Media sites inject JavaScript ads, newsletter signups, and related-article links directly into the DOM of the article body. Our parsers use strict XPath boundaries to extract only the editorial text, discarding promotional noise.
India Today uses aggressive edge caching via CDNs. For breaking news pipelines, we append cache-busting parameters and rotate request headers to ensure we fetch the absolute latest version of an article, not a stale edge node copy.
Category pages and author profiles rely on JavaScript-driven infinite scroll or complex API pagination. We reverse-engineer the underlying XHR requests to paginate through thousands of articles without rendering the heavy frontend.
News articles are frequently updated after initial publication. Our database maintains a hash of the article body. When a URL is re-crawled, we log the diff and emit a new version record if the editorial content has changed.
High-frequency polling triggers rate limits and WAF blocks. We distribute requests across a pool of Indian residential IPs, maintaining legitimate request volumes per node to ensure uninterrupted data flow.
PR agencies and corporate comms teams track brand mentions, sentiment, and share of voice across national news.
AI teams harvest high-quality, linguistically diverse editorial text to train Large Language Models on Indian English and Hindi contexts.
Think tanks and researchers aggregate election coverage, opinion pieces, and fact checks to analyse media bias and political trends.
Quant funds ingest breaking business news and RBI policy updates with sub-minute latency for algorithmic trading signals.
Social media platforms and researchers integrate AFWA fact-check data to build automated misinformation detection systems.
Data scientists use historical article archives to model the evolution of specific topics over decades of reporting.
"India Today holds decades of political, economic, and social reporting in its archives. Extracting this corpus at scale requires bypassing aggressive CDN caching and ad-tech layers."
News publishers deploy heavy caching, dynamic ad-injections, and bot mitigation to protect their content. DataFlirt handles the proxy rotation, pagination logic, and schema normalisation so your data science teams receive clean text corpuses ready for NLP pipelines.
Everything supported by our indiatoday.in scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
High-throughput Scrapy spiders combined with lxml for rapid, strict XPath parsing of HTML structures, ensuring clean text extraction.
Pools of residential ISP proxies across Indian regions to bypass WAF rules and distribute request loads during high-frequency polling.
Pipelines run on AWS Lambda for burst scaling during breaking news events. Airflow handles scheduling and SLA alerting.
Data delivered to where your team already works — no new tooling required.
About indiatoday.in scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available facts and headlines is generally permissible. However, reproducing full article bodies may implicate copyright law depending on your jurisdiction and use case (e.g., fair use for NLP training vs. commercial republication). DataFlirt operates as a data extraction conduit. Clients must ensure their downstream use complies with copyright laws and India Today's Terms of Service.
Yes. Our pipeline supports the entire India Today Network, including Aaj Tak, Business Today, and regional language portals using the same unified schema.
For monitored categories or homepages, we configure high-frequency polling pipelines capable of detecting and extracting new URLs within 60 seconds of publication.
We extract the metadata (URLs, captions, alt text, upload dates) for media assets. We do not download or host the actual MP4 or JPG files, but provide the direct links in your payload.
We extract all publicly visible metadata (headlines, author, publication date, and preview snippets). We do not bypass authentication walls or extract full text from India Today Premium.
Yes. We can poll specific URLs at defined intervals, hash the article body, and emit a new record if the content changes, capturing stealth edits post-publication.
We recommend JSONL or Parquet. These formats preserve the nested structure of tags, categories, and multi-paragraph body text without the delimiter issues common in CSV files.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a historical archive dump for model training or a real-time feed for media monitoring, we build and operate the pipeline. Tell us your requirements.
