We extract daily news, political coverage, op-eds, author metadata, and historical archives from Indian Express. 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 Article Content objects from indianexpress.com. All fields typed and schema-versioned.
"url": "https://indianexpress.com/article/india/example-news-article/", "headline": "Supreme Court reserves order on electoral bonds", "author": "Apruva Vishwanath", "publish_date": "2023-11-02T14:30:00Z", "category": "India", "tags": "['Supreme Court', 'Electoral Bonds', 'Politics']", "premium_flag": false, "word_count": 845
| # | url | headline | subheadline | author | publish_date | update_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Author Profiles objects from indianexpress.com. All fields typed and schema-versioned.
"name": "Apruva Vishwanath", "profile_url": "https://indianexpress.com/profile/author/apruva-vishwanath/", "twitter_handle": "@apruva_v", "role": "Assistant Editor", "article_count": 412, "latest_article_date": "2023-11-02T14:30:00Z"
| # | author_id | name | profile_url | bio | twitter_handle | article_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Opinion & Editorials objects from indianexpress.com. All fields typed and schema-versioned.
"url": "https://indianexpress.com/article/opinion/editorials/example-editorial/", "headline": "A necessary debate on federalism", "author": "Editorial Board", "publish_date": "2023-11-03T00:15:00Z", "section": "Editorials", "word_count": 620, "topic": "Federalism"
| # | url | headline | author | publish_date | topic | word_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for News Archives objects from indianexpress.com. All fields typed and schema-versioned.
"archive_date": "2014-05-16", "url": "https://indianexpress.com/article/india/politics/lok-sabha-results-2014/", "headline": "BJP secures historic majority", "category": "Politics", "edition": "New Delhi", "print_page": 1, "word_count": 1250
| # | archive_date | url | headline | category | location | print_page |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search Results objects from indianexpress.com. All fields typed and schema-versioned.
"keyword": "monsoon forecast", "rank": 1, "url": "https://indianexpress.com/article/india/monsoon-to-hit-kerala-coast-soon/", "headline": "Monsoon to hit Kerala coast by June 4", "publish_date": "2023-05-28T09:10:00Z", "section": "India", "author": "Express News Service"
| # | keyword | rank | url | headline | publish_date | snippet |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Indian Express scraper navigates ad-heavy DOMs, parses historical archive directories, and extracts clean text bodies without inline scripts or promotional clutter.
Extract core article text, stripping out inline advertisements, read-more links, and embedded social media widgets.
Crawl the sitemap and date-based archive directories to reconstruct timelines spanning decades of news coverage.
Map articles to specific journalists, capturing author metadata, bios, and publication frequency over time.
Extract internal taxonomy data, including primary categories, sub-categories, and keyword tags assigned by the editorial team.
Identify paywalled 'Premium' articles and extract available metadata, headlines, and snippets without requiring authentication.
Capture high-resolution URLs for featured images, inline gallery assets, and embedded video metadata.
Run continuous pipelines at hourly cadences to capture breaking news and live-blog updates as they are published.
Extract engagement metrics such as comment counts and share statistics where exposed in the DOM.
Parse location-specific news and map articles to their respective city or state editions (e.g., Delhi, Mumbai, Pune).
Brief in. Clean data out.
Provide categories, author URLs, date ranges, or keyword sets. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, handling ad-heavy DOMs and Cloudflare protections.
Schema validation, null-rate checks, and text-cleanliness verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
News websites are notoriously cluttered with dynamic ads, tracking scripts, and anti-bot layers. Here is how we ensure clean data extraction.
Publisher DOMs change dynamically based on ad inventory. We use strict XPath and CSS selector chains targeting core article containers, stripping out injected HTML, related-article carousels, and tracking scripts to deliver clean paragraph arrays.
News sites employ edge protection to prevent aggressive scraping. We route requests through residential proxies with appropriate delays and TLS fingerprint spoofing to maintain uninterrupted access without triggering blocks.
Extracting years of historical data requires handling complex pagination and date-based directory structures. Our crawlers map the entire sitemap and archive tree to ensure zero data loss during historical backfills.
Breaking news articles are updated frequently. We track the 'last modified' timestamps and emit diffs, allowing you to see how a story evolves over time without redundant data storage.
When encountering Indian Express Premium articles, the pipeline automatically detects the paywall state, extracts the available teaser metadata, and flags the record as premium rather than failing or returning partial HTML.
PR firms and corporate communications teams track brand mentions, executive coverage, and industry news in real time.
Machine learning teams ingest massive, clean corpora of Indian English text to train regional language models and sentiment classifiers.
Researchers analyse editorial stances, opinion pieces, and political coverage trends over time leading up to elections.
Universities use historical archive data to conduct longitudinal studies on public policy, economics, and social issues.
Media agencies track the output, topics, and publication frequency of specific reporters and columnists.
Financial institutions monitor breaking news for macroeconomic indicators, corporate announcements, and geopolitical events.
"A newspaper's archive is a structured timeline of a nation's history. Extracting it requires navigating decades of legacy HTML and modern ad-tech."
Parsing news sites at scale is rarely straightforward. The DOM is cluttered with programmatic advertising, tracking scripts, and irregular formatting. DataFlirt handles the sanitisation, proxy rotation, and archive traversal, delivering clean, analysis-ready text directly to your warehouse.
Everything supported by our indianexpress.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 fast HTTP crawling for static archives, while Playwright renders dynamic pages to capture lazy-loaded assets and bypass edge protections.
Custom Python middleware strips out programmatic ads, tracking scripts, and non-editorial HTML, ensuring the output text is clean and ready for NLP ingestion.
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 indianexpress.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available news articles is generally permissible for analysis, research, and indexing. However, republishing full copyrighted text may violate copyright laws. DataFlirt provides the extraction infrastructure; clients are responsible for ensuring their downstream use cases (such as LLM training or internal monitoring) comply with fair use doctrines and the publisher's Terms of Service.
We do not bypass authentication walls. For Indian Express Premium articles, our pipeline extracts the publicly available metadata (headline, author, date, tags, and teaser snippet) and flags the record as premium, skipping the protected body text.
Yes. We can traverse the site's date-based archive directories to extract historical articles spanning decades, provided the pages are still accessible on the domain.
Very clean. We use strict DOM parsing rules to remove inline advertisements, social media embeds, related-article links, and JavaScript, delivering only the core editorial paragraphs.
For continuous monitoring, pipelines can run at hourly or sub-hourly cadences, capturing new articles and updates to breaking news stories shortly after publication.
Our minimum engagement typically starts with a defined historical backfill (e.g., all articles from the past 5 years) or a continuous daily pipeline tracking specific categories. Contact us for a precise quote based on data volume.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a massive historical corpus for NLP training or a live feed of political coverage — we scope, build, and operate the pipeline. Tell us what you need.
