We extract breaking news, corporate announcements, market tickers, and editorial metadata from The Economic 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 News Articles objects from economictimes.indiatimes.com. All fields typed and schema-versioned.
"article_id": "art_98472615", "url": "https://economictimes.indiatimes.com/markets/stocks/news/...", "headline": "Sensex rallies 500 points on global cues", "author": "ET Markets Web Team", "published_date": "2026-05-12T08:30:00Z", "tags": "['Sensex', 'Nifty', 'Stock Market']", "et_prime_flag": false, "sector": "Markets"
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Complete list of extractable fields for Market Data objects from economictimes.indiatimes.com. All fields typed and schema-versioned.
"symbol": "RELIANCE", "company_name": "Reliance Industries Ltd.", "ltp": 2845.5, "change_abs": 32.1, "change_pct": 1.14, "volume": 4582910, "pe_ratio": 28.4, "timestamp": "2026-05-12T10:15:00Z"
| # | symbol | company_name | ltp | change_abs | change_pct | volume |
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Complete list of extractable fields for Corporate Announcements objects from economictimes.indiatimes.com. All fields typed and schema-versioned.
"announcement_id": "ann_738291", "company_name": "Infosys Ltd.", "symbol": "INFY", "date": "2026-05-11T16:45:00Z", "category": "Board Meeting", "subject": "Intimation of Board Meeting for Dividend", "exchange": "NSE"
| # | announcement_id | company_name | symbol | date | category | subject |
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Complete list of extractable fields for Mutual Funds objects from economictimes.indiatimes.com. All fields typed and schema-versioned.
"scheme_name": "HDFC Mid-Cap Opportunities Fund", "amc": "HDFC Mutual Fund", "category": "Equity - Mid Cap", "nav": 142.85, "nav_date": "2026-05-11", "one_year_return": 24.5, "expense_ratio": 0.85
| # | scheme_name | amc | category | nav | nav_date | one_year_return |
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Complete list of extractable fields for Authors & Editorials objects from economictimes.indiatimes.com. All fields typed and schema-versioned.
"author_name": "Sugata Ghosh", "author_url": "https://economictimes.indiatimes.com/sugata-ghosh", "bio": "Associate Editor at The Economic Times covering banking and finance.", "article_count": 842, "topics_covered": "['Banking', 'RBI', 'Macroeconomics']", "publication_frequency": "Weekly"
| # | author_name | author_url | bio | twitter_handle | article_count | recent_articles |
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Our Economic Times scraper handles every layer of the publication: breaking news feeds, dynamic stock tickers, corporate filings, and mutual fund NAVs, with automated ad-stripping and paywall detection built in.
Headlines, subheadlines, clean body text, publication timestamps, and author metadata - scraped with inline ads and promotional widgets stripped out.
Capture Last Traded Price, volume, absolute change, and percentage change for equities, indices, and commodities across NSE and BSE.
Extract board meeting notices, dividend declarations, and quarterly earnings reports mirrored on ET from primary exchanges.
Identify and flag paywalled ET Prime content automatically, ensuring your downstream NLP pipelines only ingest fully accessible text.
Heuristic DOM parsing removes newsletter signups, read-more links, and sponsored content blocks from the main article body.
Track journalist output, topics covered, and editorial bias by extracting author profiles and their complete article histories.
Extract daily NAVs, historical return percentages, fund sizes, and expense ratios across all tracked mutual fund schemes.
Map articles and market movements to specific industry verticals using ET's internal taxonomy and tagging system.
Run historical archive exports or configure continuous pipelines at 15-minute intervals for breaking market news.
Brief in. Clean data out.
Provide target sections, ticker symbols, or author URLs. We design the extraction schema together.
We configure Scrapy crawlers, ad-stripping heuristics, and JavaScript renderers for dynamic market data.
Schema validation, null-rate checks, and text-cleanliness audits before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
News publishers optimise for ad revenue, resulting in messy DOM structures. Here is how we extract clean data.
The Economic Times embeds related article links, newsletter forms, and sponsored native ads directly within paragraph blocks. We use heuristic DOM parsing to identify and strip these non-editorial elements, delivering clean, contiguous strings ready for NLP ingestion.
Market tickers and live stock charts rely heavily on client-side JavaScript. We run Playwright browser sessions to execute scripts and hydrate these widgets, capturing real-time pricing data that static HTTP clients cannot see.
Articles tagged as ET Prime restrict full text access to logged-in subscribers. Our pipeline detects paywall boundaries, flags the record as gated, and extracts the available preview text without breaking the crawl flow.
High-frequency scraping of news sites triggers Akamai and Cloudflare blocks. We distribute requests across Indian residential IP pools with randomised intervals to maintain uninterrupted access during breaking news events.
ET uses different templates for standard articles, live blogs, photo galleries, and market updates. We maintain separate fallback selector chains for each template type to ensure consistent extraction regardless of the editorial format.
Quant funds ingest clean article text to run sentiment analysis models, correlating news tone with short-term equity price movements.
Analysts aggregate corporate announcements and sector-specific news to track industry trends and competitor activity.
PR agencies and corporate communications teams track brand mentions, executive quotes, and editorial coverage in real time.
AI researchers use historical financial news archives to train domain-specific language models for the Indian market.
Fintech platforms source mutual fund NAVs and market indices to populate client dashboards and portfolio trackers.
Traders monitor board meeting notices and earnings report publications to execute strategies around corporate actions.
"The Economic Times holds the definitive record of Indian corporate activity and market sentiment, but extracting clean text from its ad-heavy DOM requires precision engineering."
News sites prioritise ad delivery and dynamic layout shifts over structured markup. Extracting reliable financial data and article text requires JavaScript rendering to hydrate market widgets, heuristic text extraction to strip inline promotions, and proxy rotation to bypass rate limits. DataFlirt manages this pipeline end-to-end so your quantitative models receive clean, normalised text and pricing signals.
Everything supported by our economictimes.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 handles crawl orchestration and deduplication. Playwright handles JavaScript rendering for dynamic market widgets and lazy-loaded article content.
We maintain pools of residential ISP proxies across Indian regions. Rotation happens per-request to bypass rate limits imposed by CDNs and WAFs.
Pipelines run on AWS Lambda and ECS. 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 economictimes.indiatimes.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available factual data, such as market prices and headlines, is generally permissible. DataFlirt targets only public, non-authenticated content. We do not extract personal data or bypass ET Prime paywalls using stolen credentials. Clients must ensure their downstream use cases, such as republishing full text, comply with copyright laws.
No. ET Prime articles are paywalled. Our pipeline identifies these articles, flags them with a boolean field, and extracts only the publicly visible preview text and metadata.
We maintain strict heuristic rules to remove newsletter signups, 'Read Also' blocks, and sponsored native ads from the article body. Our QA process tracks null rates and string continuity to ensure high-fidelity text output for NLP models.
For market tickers, we can configure real-time streaming pipelines that achieve sub-5-minute latency during trading hours. News feeds can be polled at 15-minute intervals.
Yes. We can configure one-off backfills to extract historical articles based on specific date ranges, tags, or author profiles, subject to the site's pagination limits.
Our smallest packages start at tracking specific sections or ticker lists with daily delivery. For historical backfills or real-time webhook feeds, we price based on compute volume and delivery frequency.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a historical archive of corporate announcements or a real-time feed of breaking market news, we scope, build, and operate the pipeline. Tell us what you need.
