Scrape case law, court judgments, docket records, company filings, regulatory actions, and patent data from Indian Kanoon, eCourts, MCA21, SEBI, and global legal databases. Structured legal intelligence for LegalTech platforms, compliance monitoring, and empirical legal research.
Legal data scraping is the automated extraction of structured information from public legal information systems — court portals, regulatory databases, company registries, patent offices, and legal information publishers. The public domain legal record is enormous and commercially valuable: every court judgment published by the Supreme Court, High Courts, and tribunals; every company filing submitted to MCA21; every regulatory order issued by SEBI, IRDAI, or RBI; every patent application filed with IP India or the USPTO. Scraping this data systematically and normalising it into structured, queryable form is what transforms scattered public records into useful legal intelligence.
For businesses, the value of structured legal data is practical and immediate. A company's litigation history is visible in court records — relevant for due diligence, credit assessment, and supplier risk evaluation. Regulatory enforcement actions against competitors or industry peers are published in regulatory databases — relevant for compliance strategy and market intelligence. Patent filings reveal where competitors are investing in R&D — relevant for product strategy and IP risk assessment. None of this intelligence requires access to confidential information; it is all public, but it is scattered, inconsistently formatted, and practically inaccessible without programmatic collection.
DataFlirt's legal data scrapers cover the key Indian legal and regulatory databases — Indian Kanoon for case law, eCourts for district court dockets, MCA21 for company filings and director data, SEBI's filing systems for listed company disclosures, and IP India for patent and trademark records. We also cover international legal sources including PACER for US federal courts, EUR-Lex for European Union legislation, and WIPO PATENTSCOPE for international patent filings.
A critical aspect of legal data work is the handling of structured documents — court judgments and regulatory orders are typically published as PDFs with complex formatting, footnotes, citations, and cross-references. DataFlirt's document processing pipeline extracts structured data from these PDFs: party names, judges, dates, cited statutes, cited cases, and operative orders — turning human-readable legal documents into machine-queryable structured records.
Comprehensive extraction built for reliability, accuracy, and scale.
Extract court judgments with structured fields: citation, court, bench, parties, date, acts cited, cases cited, headnotes, and operative order.
Scrape case filing information, hearing dates, adjournments, orders, and current status from eCourts and tribunal portals.
Collect MCA21 filings including annual returns, financial statements, director data, charges, and insolvency records for any registered company.
Monitor SEBI, RBI, IRDAI, CCI, and other regulatory agencies for enforcement orders, show-cause notices, and settlement proceedings.
Extract patent applications, grant records, claims, assignee data, and trademark filings from IP India, USPTO, EPO, and WIPO.
Aggregate legal news, legislative updates, and regulatory guidance from legal publishers and official government gazettes.
Every field you need, structured and ready to use downstream.
A proven process that turns any source into clean structured data — reliably.
{ "status": "success", "source": "indiankanoon", "scraped_at": "2025-03-20T07:00:00Z", "case": { "citation": "2024 SCC OnLine SC 1842", "court": "Supreme Court of India", "date": "2024-11-12", "parties": "State of Rajasthan v. Ramesh Kumar", "judges": ["J. Chandrachud","J. Narasimha"], "acts_cited": ["IPC s.302","CrPC s.313"], "outcome": "Appeal allowed", "headnotes": "Criminal law — sentencing..." } }
Built on proven open-source tools and cloud infrastructure — no vendor lock-in.
Court judgments and regulatory orders extracted from complex PDF layouts — including footnotes, citations, and multi-column formatting.
Structured extraction of case citations, statute references, and cross-case links — building citation graphs for legal research applications.
Comprehensive extraction from MCA21 company filings, including all form types, document attachments, and director-company relationship mapping.
Indian courts at all levels, UK Companies House, US PACER, EU legal databases, and international IP registries covered in a unified pipeline.
Company and individual names normalised across sources using CIN, DIN, PAN, and name-matching to reconcile inconsistent legal record formatting.
Continuous monitoring of SEBI, RBI, IRDAI, and CCI portals detects new enforcement actions and orders within hours of publication.
From solo analysts to enterprise data teams — here's how organizations use this data.
Decades of court judgments, millions of company filings, and years of regulatory orders are all matters of public record — but their value is locked in inconsistent formats, fragmented portals, and PDFs that resist analysis. DataFlirt extracts and structures this public legal record into queryable, normalised datasets that LegalTech platforms, compliance teams, and researchers can actually use.
Start free and scale as your data needs grow.
For small teams and projects getting started with data.
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For large organizations with custom requirements.
Everything you need to know before getting started.
Join data teams worldwide using DataFlirt to power products, research, and operations with reliable, structured web data.
