We extract health, motor, and travel insurance quotes, network coverage lists, and policy terms from HDFC ERGO. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your schedule.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Health Quotes objects from hdfcergo.com. All fields typed and schema-versioned.
"plan_name": "Optima Secure", "age_band": "31-35", "sum_insured": 1000000, "base_premium": 12450.0, "tax_amount": 2241.0, "total_premium": 14691.0, "room_rent_limit": "Single Private Room", "copay_pct": 0
| # | plan_name | age_band | sum_insured | base_premium | tax_amount | total_premium |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Motor Quotes objects from hdfcergo.com. All fields typed and schema-versioned.
"vehicle_make": "Hyundai", "vehicle_model": "Creta SX", "registration_year": 2023, "rto_code": "MH-01", "idv_amount": 1250000, "ncb_pct": 20, "own_damage_premium": 18400.0, "total_premium": 26850.0
| # | vehicle_make | vehicle_model | registration_year | rto_code | idv_amount | ncb_pct |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Network Hospitals objects from hdfcergo.com. All fields typed and schema-versioned.
"hospital_name": "Apollo Hospitals", "city": "Bengaluru", "state": "Karnataka", "pincode": "560076", "cashless_active": true, "specialties": "['Cardiology', 'Orthopaedics', 'Neurology']", "latitude": 12.8943, "longitude": 77.5982
| # | hospital_name | address_line | city | state | pincode | contact_number |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Network Garages objects from hdfcergo.com. All fields typed and schema-versioned.
"garage_name": "Trident Hyundai", "city": "Bengaluru", "rto_code": "KA-03", "brand_authorized": "Hyundai", "cashless_active": true, "four_wheeler_supported": true, "contact_number": "+918043434343"
| # | garage_name | address_line | city | rto_code | contact_number | brand_authorized |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Travel Plans objects from hdfcergo.com. All fields typed and schema-versioned.
"destination_region": "Schengen", "trip_duration_days": 15, "traveller_age": 32, "sum_insured_usd": 100000, "premium_inr": 1850.0, "tax_inr": 333.0, "trip_cancellation_limit": 1000
| # | destination_region | trip_duration_days | traveller_age | sum_insured_usd | medical_evacuation_limit | trip_cancellation_limit |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our extraction pipeline navigates complex Single Page Application forms, calculates premium variants across input matrices, and standardises policy data into queryable records.
Extract quotes across combinations of Insured Declared Value, No Claim Bonus percentages, and RTO codes.
Capture pricing for Optima Secure and my:health Suraksha across age bands and family floater configurations.
Scrape cashless hospital directories with pin codes, specialties, and geographic coordinates.
Extract authorised repair centres for motor claims mapped to specific vehicle brands and RTOs.
Capture dynamic pricing for zero depreciation, engine protection, and consumable covers.
Extract inclusions, exclusions, waiting periods, and room rent limits from plan documentation.
Navigate complex React and Angular quote generation flows using headless browser execution.
Separate base premium, GST, and state specific cesses for accurate financial modelling.
Extract pricing based on geography, trip duration, and specific medical coverage limits.
Run daily or weekly pipelines to detect premium rate changes and network coverage updates.
Brief in. Clean data out.
Provide age bands, RTO codes, or vehicle lists. We map the extraction schema together.
We configure Playwright scripts to navigate multi-step quote forms and handle dynamic pricing widgets.
Schema validation, premium outlier detection, and null-rate checks before production launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on schedule.
HDFC ERGO uses multi-step forms and dynamic pricing models. We automate browser flows to extract structured premium data reliably.
Navigating sequential inputs for age, vehicle details, and medical history requires stateful browser sessions. We script the exact user journey to reach the final quote page.
Calculating premium variations across custom Insured Declared Value sliders requires executing JavaScript functions within the DOM. We capture the full curve, not just the default value.
Full Playwright execution is necessary to load dynamic pricing widgets and asynchronous API calls that populate the final premium numbers.
Maintaining cookie state and session tokens across the quote generation funnel prevents timeouts and blockages during matrix execution.
Mapping diverse policy structures, varying tax components, and conditional riders into a unified relational format for your data warehouse.
Insurtechs track premium rates across age bands and RTOs to position their own products competitively.
Actuaries analyse market pricing for specific rider combinations to design new insurance products.
Verify if aggregator platforms display accurate direct-to-consumer premiums compared to the primary source.
Map hospital and garage density against competitor networks to identify geographic gaps.
Analyse the impact of No Claim Bonus and deductible choices on final pricing structures.
Standardise inclusions and exclusions for side-by-side market analysis across providers.
"Insurance pricing is highly dynamic. Extracting accurate premium matrices requires navigating thousands of form combinations systematically."
Scraping quote engines requires full browser automation, state management, and strict validation to ensure premium numbers align with the input variables. DataFlirt manages the execution grid so you receive clean pricing tables.
Everything supported by our hdfcergo.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.
Playwright clusters handle complex form navigation, cookie management, and dynamic element rendering required for quote generation.
Airflow orchestrates thousands of variable combinations, ensuring complete coverage across age bands, vehicle models, and geographic regions.
Post-extraction checks ensure premium calculations match inputs and tax breakdowns sum correctly to the total premium.
Data delivered to where your team already works — no new tooling required.
About hdfcergo.com scraping, legality, and pipeline operations.
Ask us directly →Extracting publicly available quote data prior to authentication walls is generally permissible. DataFlirt targets only public pricing matrices and network directories. We do not bypass OTP walls or access private customer data.
We use Playwright to script the exact sequence of inputs, dropdown selections, and button clicks required to navigate from the landing page to the final premium calculation.
Yes. We maintain a master list of vehicle makes, models, and RTO codes to generate comprehensive pricing matrices across the entire motor insurance spectrum.
Yes. We separate the base premium from GST and any applicable regional cesses to provide clean financial data.
Pipelines can run daily, weekly, or monthly depending on your requirements for tracking network expansion or contraction.
No. We strictly extract pre-purchase public quotes and do not interact with payment gateways or authenticated customer portals.
Yes. We map all specific plan variants, including their unique riders, room rent limits, and waiting period configurations.
20-minute scoping call. Pilot dataset within the week. Production within two. Need a one-off network hospital dump or a continuous premium monitoring feed? We scope, build, and operate the pipeline.
