SYSTEM all green source ndtv.com queue 12,491 URLs p99 latency 184ms dataflirt.com · scraper/ndtv-com
RUN · 41 active pipelines · ndtv.com live

NDTV news corpus,
at warehouse scale.

We extract articles, live blog updates, video metadata, and financial reports from NDTV. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.

Articles extracted
45.2K /day
Live updates
112K /run
Video metadata
8.4K /day
Active pipelines
41
Uptime
99.98%
Data Dictionary

Every field we extract from ndtv.com

Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.

Complete list of extractable fields for News Articles objects from ndtv.com. All fields typed and schema-versioned.

article_idurlheadlinesubheadlineauthorpublish_dateupdate_datecategorycontent_bodyimage_urlstags
news_articles
● 200 OK
"article_id": "ndtv-news-849201",
"url": "https://www.ndtv.com/india-news/example-article",
"headline": "Central Bank Announces New Interest Rate Policy",
"author": "NDTV News Desk",
"publish_date": "2026-05-12T09:14:00Z",
"category": "India News",
"tags": "['Economy', 'RBI', 'Interest Rates']"
# article_idurlheadlinesubheadlineauthorpublish_date
1
2
3

Complete list of extractable fields for Live Blogs objects from ndtv.com. All fields typed and schema-versioned.

event_idevent_titleupdate_idupdate_timestampupdate_textauthortagsrelated_urlsis_pinned
live_blogs
● 200 OK
"event_id": "live-blog-election-2026",
"event_title": "Assembly Elections 2026 Live Updates",
"update_timestamp": "2026-05-12T10:45:22Z",
"update_text": "Voting concludes in 45 constituencies with a 68% voter turnout.",
"author": "Political Desk",
"is_pinned": false
# event_idevent_titleupdate_idupdate_timestampupdate_textauthor
1
2
3

Complete list of extractable fields for NDTV Profit objects from ndtv.com. All fields typed and schema-versioned.

tickercompany_namecurrent_pricecurrencychange_abschange_pctmarket_capvolumetimestampnews_mentions
ndtv_profit
● 200 OK
"ticker": "RELIANCE.NS",
"company_name": "Reliance Industries Ltd",
"current_price": 2845.5,
"currency": "INR",
"change_pct": 1.24,
"volume": 4582910,
"timestamp": "2026-05-12T15:30:00Z"
# tickercompany_namecurrent_pricecurrencychange_abschange_pct
1
2
3

Complete list of extractable fields for Video Metadata objects from ndtv.com. All fields typed and schema-versioned.

video_idtitledescriptionduration_secondspublish_dateviewscategoryshow_nameanchor_namethumbnail_url
video_metadata
● 200 OK
"video_id": "vid-99382",
"title": "Prime Time: Analyzing The New Policy Shifts",
"duration_seconds": 2450,
"publish_date": "2026-05-11T21:00:00Z",
"show_name": "Prime Time",
"category": "Shows"
# video_idtitledescriptionduration_secondspublish_dateviews
1
2
3

Complete list of extractable fields for Author Profiles objects from ndtv.com. All fields typed and schema-versioned.

author_idnamebiotwitter_handlearticle_countrecent_articlestopics_coveredprofile_image_url
author_profiles
● 200 OK
"author_id": "auth-102",
"name": "Sunil Prabhu",
"twitter_handle": "@SunilPrabhuNDTV",
"article_count": 1420,
"topics_covered": "['Politics', 'Parliament', 'Supreme Court']",
"recent_articles": "['url1', 'url2', 'url3']"
# author_idnamebiotwitter_handlearticle_countrecent_articles
1
2
3

Capabilities

The complete NDTV corpus — structured and queryable

Our NDTV scraper handles infinite scroll, dynamic live blogs, and fragmented subdomains. We extract clean text and metadata across news, sports, and financial verticals without ad-bloat.

Full Article Extraction

Headline, subheadline, author, publish date, update timestamp, and full content body stripped of inline advertisements and tracking scripts.

Live Blog Tracking

Capture real-time updates from election coverage, sports matches, and breaking news events with precise timestamps per update.

NDTV Profit Data

Extract market updates, stock ticker mentions, corporate earnings reports, and financial opinion pieces from the Profit subdomain.

Author Intelligence

Map journalists to their coverage areas, track publication frequency, and extract biographical metadata from author profile pages.

Regional Language Support

Extract and normalise UTF-8 encoded text from NDTV India (Hindi), NDTV Khabar, and other regional language subdomains.

NDTV Sports Integration

Parse live scorecards, match reports, player statistics, and tournament standings from the sports subdomain.

Tag & Category Mapping

Preserve NDTV's internal taxonomy by capturing all assigned tags, breadcrumbs, and category classifications per article.

Election Data Scraping

Extract structured constituency results, candidate profiles, and historical vote-share data during state and general elections.

Scheduled + Streaming Modes

Run one-off historical archive exports or configure continuous pipelines at hourly, daily, or real-time cadences.

// engagement pipeline

From URL list to warehouse record

Brief in. Clean data out.

Define Scope
d 0

Provide target subdomains, category URLs, or date ranges. We design the extraction schema together.

Pipeline Build
d 2–4

We configure Scrapy / Playwright crawlers, proxy rotation, and infinite-scroll handling for ndtv.com.

Validation & QA
d 4–6

Schema validation, null-rate checks, encoding verification, and ad-stripping tests before full launch.

Delivery
ongoing

JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.

Under the hood

How our NDTV pipeline handles the hard parts

News sites present unique extraction challenges: aggressive caching, anti-scraping firewalls, and rapidly mutating DOM structures during breaking news.

pipeline-monitor · ndtv.com · live ● active
// fingerprinting
Identity rotation
TLS fingerprintrandomised
User-agentrotated
IP poolresidential
Challenges blocked0
// pagination
Page coverage
48,291 pages queued running
// observability
Pipeline health
99.9%
uptime
142ms
p99 lat
0.3%
null rate
2
alerts
Subdomain routing
Unified schema across fragmented layouts

NDTV operates multiple subdomains (profit.ndtv.com, sports.ndtv.com, movies.ndtv.com) with entirely different DOM structures. We maintain distinct selector chains per subdomain while delivering data into a single, normalised schema.

Live blog polling
Capturing asynchronous updates

Live blogs load via asynchronous background requests rather than static HTML. We intercept these XHR/fetch requests directly, capturing raw JSON payloads to ensure zero missed updates during high-velocity news events.

Ad-network stripping
Clean text extraction

Media sites inject programmatic ads, outbrain widgets, and sponsored links directly into the article body. Our pipeline uses structural heuristics to identify and strip non-editorial content, delivering clean, machine-readable text.

Regional encoding
Flawless UTF-8 processing

Extracting Hindi or regional content requires strict encoding management. We enforce UTF-8 normalisation across the entire pipeline to prevent character corruption in downstream NLP models.

Rate limiting & WAF bypass
Sustained high-throughput crawling

Akamai and Cloudflare protect NDTV from volumetric scraping. We distribute requests across premium residential IP pools, managing request headers and session cookies to blend in with legitimate reader traffic.

Applications

Who uses NDTV data — and how

Teams across industries use ndtv.com data to build competitive products and smarter operations.

01
NLP & LLM Training

AI teams ingest decades of high-quality Indian journalistic text to train foundational models and regional language classifiers.

02
Financial Sentiment Analysis

Quantitative funds correlate NDTV Profit news mentions and executive interviews with stock price movements to build trading signals.

03
Media Monitoring & PR

Agencies track brand mentions, executive quotes, and crisis coverage across the entire NDTV network in real time.

04
Political Event Tracking

Researchers and think tanks analyse election coverage, live blog transcripts, and opinion pieces to model political sentiment.

05
Competitor Intelligence

Media conglomerates monitor NDTV's publishing velocity, topic distribution, and author output to benchmark their own newsrooms.

06
Fake News & Fact-Checking Research

Academic institutions build datasets of verified news reports to train misinformation-detection algorithms.

Why DataFlirt

"NDTV represents decades of Indian geopolitical, financial, and cultural history — but extracting it requires navigating a labyrinth of subdomains and legacy DOM structures."

Most teams underestimate the investment required to scrape legacy news media: reliable NDTV extraction requires handling infinite scroll pagination, parsing irregular live-blog websockets, stripping aggressive ad-network injections, and normalising regional text encodings. DataFlirt absorbs that complexity so your engineers can focus on the analysis — not the infrastructure.

Technical Spec

NDTV scraper — technical capabilities

Everything supported by our ndtv.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.

Infinite scroll pagination
Automated scrolling and XHR interception for category and author pages
Supported
Live blog update parsing
Continuous polling of live event feeds with precise update timestamps
Supported
Ad & tracker stripping
Algorithmic removal of inline ads, sponsored content, and tracking pixels
Supported
Regional languages (Hindi)
Full UTF-8 normalisation for NDTV India and regional subdomains
Supported
NDTV Profit stock tickers
Extraction of financial data and linked company mentions
Supported
Video metadata extraction
Capture of show names, anchors, durations, and view counts
Supported
Change detection (diffs)
Only emit records when an article is updated post-publication
Supported
Webhook delivery
HTTP POST per article for real-time media monitoring workflows
Supported
NDTV Premium ad-free content
Gated content requiring paid user subscriptions
Partial
User comments & account profiles
Authenticated user engagement data and comment histories
Partial
Infrastructure

Infrastructure powering the NDTV pipeline

Open-source tooling on proven cloud infra — no vendor lock-in, full observability.

ScrapyPlaywrightPython 3.12RedisPostgreSQLApache AirflowAWS LambdaS3CloudWatch2CaptchaCapSolverResidential ProxiesDockerKubernetesGrafanaPrometheus
Scrapy + Playwright Stack

Scrapy handles crawl orchestration, deduplication, and retry logic. Playwright handles infinite scroll, lazy-loading images, and interaction flows. Combined via scrapy-playwright middleware.

Residential Proxy Infrastructure

We maintain pools of residential ISP proxies across IN regions. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.

Cloud-Native Orchestration

Pipelines run on AWS Lambda (burst) and ECS (sustained). Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.

Output & Delivery

Your data, your destination

Data delivered to where your team already works — no new tooling required.

JSON
Newline-delimited or nested — schema versioned per run
CSV
Flat file with typed columns — Excel/Sheets compatible
XLS
Legacy spreadsheet format for non-technical teams
Parquet
Columnar format for BigQuery, Snowflake, Athena
AWS S3
Direct bucket delivery — compatible with any data lake
Webhook
HTTP POST per record for real-time downstream processing
API
RESTful endpoints to query extracted datasets on demand
BigQuery
Streamed directly into your dataset with schema auto-detect
Snowflake
Stage + COPY INTO workflow — incremental or full-replace
Postgres
Upsert into your existing schema with conflict resolution
S3
Direct bucket delivery — compatible with any data lake
// faq

Common questions.

About ndtv.com scraping, legality, and pipeline operations.

Ask us directly →
Is scraping NDTV legal?

Scraping publicly available news articles and metadata from NDTV is generally permissible for analysis and research, provided it does not violate copyright law via wholesale republication. DataFlirt extracts factual data and text for internal analytics, NLP training, and monitoring. We do not bypass authentication walls. Clients must ensure their downstream use complies with fair use doctrines and copyright laws.

How do you handle NDTV's various subdomains?

NDTV's architecture spans multiple subdomains (profit, sports, movies, food). We deploy subdomain-specific parsing logic while mapping all extracted fields to a unified, master schema for seamless downstream ingestion.

Can you extract live blog updates in real time?

Yes. For breaking news and election coverage, we can configure high-frequency polling pipelines that capture live blog updates within seconds of publication, delivered via webhook.

Do you scrape NDTV Profit financial data?

Yes. We extract market updates, stock ticker mentions, corporate earnings reports, and financial commentary from the NDTV Profit subdomain.

Can you extract historical news archives?

Yes. We can traverse category pagination and date-based archives to extract historical news data spanning several years, subject to URL availability.

How do you handle regional languages like NDTV India (Hindi)?

Our pipeline enforces strict UTF-8 encoding across all stages of extraction, storage, and delivery, ensuring regional scripts like Hindi and Bengali remain intact without character corruption.

How do you strip ads and sponsored content?

We use DOM structural analysis and heuristic rules to identify non-editorial elements — such as Outbrain widgets, inline advertisements, and newsletter signups — stripping them before delivering the final content body.

$ dataflirt scope --new-project --source=ndtv.com ready

Tell us what
to extract.
We do the rest.

20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off historical news archive or a continuous live-blog monitoring feed — we scope, build, and operate the pipeline. Tell us what you need.

hello@dataflirt.com · Bengaluru · IST · typical reply < 4h
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