We extract market reports, company announcements, editorial opinions, and historical news archives from Business Standard. 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 business-standard.com. All fields typed and schema-versioned.
"article_id": "123051200145_1", "url": "https://www.business-standard.com/article/markets/sensex-rallies.html", "headline": "Sensex rallies 500 points on strong global cues", "author": "BS Web Team", "publish_date": "2026-05-12T08:30:00Z", "category": "Markets", "premium_flag": false
| # | article_id | url | headline | sub_headline | author | publish_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Market Reports objects from business-standard.com. All fields typed and schema-versioned.
"report_id": "MR-49201", "index_name": "Nifty 50", "points_change": 145.2, "percent_change": 0.85, "summary": "IT and banking stocks lead the recovery in early morning trade.", "publish_date": "2026-05-12T09:15:00Z"
| # | report_id | url | title | market_segment | index_name | points_change |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Company Pages objects from business-standard.com. All fields typed and schema-versioned.
"company_name": "Reliance Industries Ltd", "bse_code": "500325", "nse_code": "RELIANCE", "sector": "Refineries", "current_price": 2845.5, "market_cap": 1925000.0, "pe_ratio": 28.4
| # | company_name | bse_code | nse_code | sector | current_price | market_cap |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Opinion & Editorials objects from business-standard.com. All fields typed and schema-versioned.
"editorial_id": "ED-88392", "headline": "The fiscal path ahead for the new government", "author": "T N Ninan", "publish_date": "2026-05-11T20:00:00Z", "topic": "Economy", "comments_count": 42
| # | editorial_id | headline | author | author_bio | publish_date | content |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Author Profiles objects from business-standard.com. All fields typed and schema-versioned.
"author_name": "A K Bhattacharya", "designation": "Editorial Director", "article_count": 1452, "topics_covered": "['Economy', 'Policy', 'Politics']", "twitter_handle": "@AKBhattacharya", "recent_articles": "['123051100098_1', '123050400112_1']"
| # | author_name | designation | bio | twitter_handle | linkedin_url | article_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our scraper navigates the Business Standard taxonomy, handling pagination, tag mapping, and layout variations to deliver clean, structured news datasets.
Headline, sub-headline, body text, and image captions parsed cleanly without advertising artifacts or boilerplate navigation elements.
Track journalists, columnists, and guest contributors across publications. Extract author bios and social metadata.
Map articles to sectors, companies, and macroeconomic tags exactly as categorised by the Business Standard editorial team.
Extract decades of legacy news content for algorithmic backtesting and historical sentiment analysis.
Parse embedded HTML tables for index movements, stock quotes, and quarterly financial results.
Detect and label paywalled articles accurately. Extract free summaries and metadata where full text is restricted.
Run daily batch exports for archives or configure continuous pipelines for breaking market news.
Extract canonical URLs, meta descriptions, publication timestamps, and keyword tags for content analysis.
Map recommended articles and inline links to build topic graphs and track narrative evolution.
Brief in. Clean data out.
Provide target sections, keywords, author names, or date ranges. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, session management, and layout parsing logic for business-standard.com.
Schema validation, null-rate checks, timestamp normalisation, and sample exports before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
News sites deploy rate limits and frequently alter DOM structures. Here is how we maintain steady extraction.
Media platforms restrict aggressive polling. Our crawlers use residential ISP proxies with randomised request timing to distribute load and prevent IP bans during high-frequency breaking news extraction.
Editorial platforms frequently update article templates for sponsored content, interactive graphics, or special reports. We use multi-layer fallback chains to ensure body text and metadata are extracted regardless of layout.
Business Standard uses dynamic paywalls. We accurately detect premium flags, extracting available metadata and summaries while preventing pipeline errors on gated body text.
News articles are frequently updated after initial publication. We monitor timestamp changes and emit updated records, providing a complete revision history for fast-moving stories.
Every run emits structured logs. We alert on null-rate spikes, missing publish dates, and coverage drops, ensuring your downstream trading models never miss critical announcements.
Feed sentiment analysis models with real-time financial news and company announcements to trigger automated trading strategies.
Track PR announcements, product launches, and executive moves across specific industry sectors.
Analyse policy changes, budget coverage, and economic indicators over time to inform long-term investment strategies.
Build domain-specific financial language models using decades of high-quality editorial content and market reports.
Track brand mentions, sentiment shifts, and PR campaign effectiveness across major financial publications.
Identify negative news events, regulatory warnings, and litigation reports for corporate credit risk assessment.
"Business Standard holds the definitive record of Indian corporate history and market movements, but extracting that intelligence requires resilient infrastructure."
Most teams underestimate the complexity of scraping news media at scale. Rate limits, changing DOM structures, paywall variations, and pagination require continuous maintenance. DataFlirt manages the proxy rotation, extraction logic, and schema versioning so your data science team can focus on sentiment analysis and model training.
Everything supported by our business-standard.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, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across IN/US/UK/DE regions. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
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 business-standard.com scraping, legality, and pipeline operations.
Ask us directly →Scraping public factual news data is generally permissible. DataFlirt targets only public, non-authenticated headlines, summaries, and free content. We do not circumvent authentication walls or extract DRM-protected digital replicas. Clients should review publisher terms and consult legal counsel for specific use cases.
We extract publicly available metadata, headlines, and free summaries. Full premium content requires your authenticated session. We accurately flag premium articles in the dataset so downstream models can handle truncated text appropriately.
Yes. We can paginate through the archives back to the earliest available digital records on the platform, allowing you to build comprehensive historical datasets for backtesting.
We configure streaming pipelines to poll high-priority sections (like Markets or Companies) every few minutes, pushing new records via Webhook for sub-minute latency delivery.
We extract underlying HTML table data where available. Canvas-rendered interactive charts are typically delivered as image URLs or bypassed, as the raw data is rarely exposed in the DOM.
Our smallest packages start at defined category monitoring with daily delivery. For historical backfill operations or sub-minute streaming feeds, we price based on volume and compute requirements.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off historical archive extraction or a continuous breaking news feed - we scope, build, and operate the pipeline. Tell us what you need.
