Scrape insurance premiums, plan details, coverage terms, claim settlement ratios, and regulatory filings from PolicyBazaar, Coverfox, IRDAI, and 500+ carrier and aggregator websites. Structured insurance data for competitive benchmarking, actuarial research, and InsurTech product development.
Insurance data scraping is the automated collection of structured product, pricing, and regulatory information from insurance comparison platforms, carrier websites, and regulatory databases. The publicly accessible insurance data landscape is rich: premium quotes across risk profiles, plan benefit summaries, coverage limits and exclusions, claim settlement ratios, IRDAI circulars, product approval records, and customer satisfaction scores. Scraping this systematically gives actuaries, InsurTech developers, product teams, and researchers a comprehensive and current view of the insurance market.
Insurance pricing is highly dynamic. Premiums vary by risk profile, age band, sum assured, tenure, and underwriting criteria that shift with claims experience, regulatory change, and competitive pressure. Aggregators like PolicyBazaar and Coverfox surface these variations across dozens of insurers simultaneously — making them extremely valuable for competitive premium benchmarking. Scraping them continuously builds a running record of how the market prices comparable products over time.
DataFlirt's insurance scrapers handle the specific technical challenges these platforms present. Comparison aggregators typically require multi-step form interactions to generate quotes — simulating a user entering age, sum assured, coverage type, and personal details to trigger the premium engine. Our headless browser automation handles these flows precisely, retrieving profile-specific premium data rather than generic product overviews.
Regulatory intelligence is a distinct and equally valuable dimension. India's IRDAI publishes product approvals, rate circulars, solvency ratios, and claim settlement statistics for every registered insurer. Scraping and structuring this output transforms scattered official publications into a searchable, time-series dataset for compliance monitoring and market analysis.
Comprehensive extraction built for reliability, accuracy, and scale.
Simulate quote flows to capture premiums across risk profiles, coverage levels, tenure options, and policy types from every covered carrier and aggregator.
Extract benefit summaries, coverage limits, exclusions, waiting periods, sub-limits, and rider option details from product pages and policy documents.
Monitor insurer financial strength, IRDAI solvency ratios, claim settlement ratios, complaints data, and independent credit ratings.
Collect IRDAI product approval records, rate revision circulars, annual report data, and enforcement actions from official regulatory portals.
Aggregate policyholder satisfaction scores, complaint resolution rates, and review data from comparison platforms and consumer forums.
Maintain time-series records of premium changes to enable trend analysis and identification of seasonal or risk-driven pricing shifts.
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": "policybazaar", "scraped_at": "2025-03-20T10:15:00Z", "product": { "type": "term_life", "insurer": "HDFC Life", "plan_name": "Click 2 Protect Super", "sum_assured": 10000000, "annual_premium":12480, "currency": "INR", "tenure_yrs": 30, "claim_ratio": 99.5, "riders": ["Accidental Death","Critical Illness"], "medical_exam": false } }
Built on proven open-source tools and cloud infrastructure — no vendor lock-in.
Playwright drives complex multi-page quote flows — entering risk parameters, navigating dropdowns, and capturing dynamically rendered premium results.
Policy wordings, benefit illustrations, and regulatory circulars extracted from PDF using layout-aware parsing into structured data fields.
Premiums captured across a matrix of age bands, sum assured levels, and tenure options to build comprehensive competitive rate tables.
Continuous monitoring of IRDAI and state insurance department portals detects new filings, rate circulars, and product approvals as they publish.
Every premium state recorded with timestamps — building historical rate series suitable for actuarial trend analysis and product pricing research.
Insurance data collected across Indian markets (IRDAI-regulated) and international markets including UK, US, and Southeast Asia on request.
From solo analysts to enterprise data teams — here's how organizations use this data.
In insurance, mispricing a product by a few percent compounds into significant underwriting losses or market share erosion over time. DataFlirt delivers the structured competitive premium data, regulatory intelligence, and product benchmarking datasets that carriers, InsurTech builders, and actuarial teams need to price accurately, compete confidently, and comply with a continuously evolving regulatory environment.
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Everything you need to know before getting started.
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