We extract dynamic premium quotes, network hospital directories, cashless garages, and policy wordings from Bajaj Allianz. 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 Health Quotes objects from bajajallianz.com. All fields typed and schema-versioned.
"plan_name": "Health Guard", "sum_insured": 1000000, "base_premium": 12450.0, "gst_amount": 2241.0, "total_premium": 14691.0, "age_band": "31-35", "room_rent_limit": "Single Private AC Room", "copay_pct": 0
| # | plan_name | sum_insured | base_premium | gst_amount | total_premium | tenure_years |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Motor Quotes objects from bajajallianz.com. All fields typed and schema-versioned.
"vehicle_make": "Hyundai", "vehicle_model": "Creta SX Opt", "rto_code": "KA-01", "idv_value": 1250000, "od_premium": 18450.0, "tp_premium": 3416.0, "ncb_discount_pct": 20, "total_premium": 24810.0
| # | vehicle_make | vehicle_model | rto_code | idv_value | od_premium | tp_premium |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Network Hospitals objects from bajajallianz.com. All fields typed and schema-versioned.
"hospital_name": "Apollo Hospitals", "city": "Bengaluru", "state": "Karnataka", "pincode": "560076", "contact_number": "080-26304050", "specialties": "['Cardiology', 'Neurology', 'Orthopedics']", "latitude": 12.8956, "longitude": 77.5984
| # | hospital_name | address_line | city | state | pincode | contact_number |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Cashless Garages objects from bajajallianz.com. All fields typed and schema-versioned.
"garage_name": "Trident Hyundai", "city": "Bengaluru", "pincode": "560025", "authorized_brands": "['Hyundai']", "phone": "9845012345", "two_wheeler_supported": false, "state": "Karnataka", "contact_person": "Ramesh Kumar"
| # | garage_name | address_line | city | state | pincode | authorized_brands |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Policy Features objects from bajajallianz.com. All fields typed and schema-versioned.
"product_category": "Travel", "plan_name": "Travel Ace", "min_entry_age": 6, "max_entry_age": 70, "brochure_url": "https://www.bajajallianz.com/...", "inclusions": "['Medical Evacuation', 'Trip Cancellation', 'Baggage Loss']", "exclusions": "['Pre-existing conditions', 'Adventure sports']", "renewal_terms": "Lifelong renewal not applicable"
| # | product_category | plan_name | inclusions | exclusions | claim_process | brochure_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Bajaj Allianz scraper navigates complex quotation funnels, maps network directories, and extracts policy documents using automated form submission and session state management.
Automate form submissions across health, motor, and travel calculators to extract premium values across thousands of demographic and vehicle permutations.
Scrape the complete cashless hospital directory. Capture hospital name, address, PIN code, contact details, and supported specialties.
Extract authorised workshop lists by RTO and city. Map supported vehicle brands and contact information for motor insurance networks.
Capture granular pricing for zero-depreciation covers, engine protection, NCB retention, and consumable covers across IDV bands.
Download and extract structured text from PDF brochures and policy wordings to catalogue exact inclusions, exclusions, and waiting periods.
Iterate through specific PIN codes and RTO codes to capture geographic pricing variations and zone-based premium loading.
Matrix scraping across age bands, family floater combinations, and sum insured values to build comprehensive rate cards.
Run weekly or monthly diffs on premium changes, network hospital additions, and garage delistings.
Extract data across retail health, motor, travel, home, cyber, and standard corporate insurance products.
Brief in. Clean data out.
Provide input matrices: age bands, sum insured values, vehicle models, and RTO codes. We design the extraction schema.
We configure Playwright scripts to navigate multi-step quotation forms, manage sessions, and parse dynamic pricing tables.
Schema validation, premium outlier detection, and geographic coverage checks before full production launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or API webhook on agreed cadence.
Insurance portals use complex multi-step forms and session tokens to prevent automated scraping. Here is how we extract rates reliably.
Bajaj Allianz calculators require sequential inputs: vehicle make, model, variant, registration year, and RTO. Our Playwright orchestrators automate these flows, handling AJAX transitions and dropdown hydration natively.
Quotation funnels rely on server-side session tokens and cookies. We maintain persistent browser contexts for each quotation thread, ensuring the final premium page loads without session timeout errors.
Critical terms and conditions are often locked in PDF documents. We integrate OCR and text-extraction pipelines to parse policy wordings, extracting specific clauses into queryable text fields.
Generating thousands of quotes triggers IP blocks. We distribute requests across residential proxy pools with geographic targeting to match the requested RTO or PIN code, maintaining high throughput.
We maintain a hash index of previous premium matrices. Subsequent runs only flag price adjustments or network hospital changes, delivering a clean diff rather than a full redundant dataset.
Rival insurers monitor premium rates across specific age bands and vehicle segments to adjust their own pricing models.
Insurance broker platforms integrate structured rate cards to power their own comparison engines without relying on slow APIs.
Healthcare administrators map hospital and garage density against competitor networks to identify geographic coverage gaps.
Actuaries use market-wide premium data and rider pricing to calibrate risk models and develop new insurance products.
Strategy teams analyse policy inclusions, exclusions, and waiting periods to design more competitive coverage limits.
Regulators and analysts track public disclosures, claim settlement ratios, and grievance metrics published on the portal.
"Insurance pricing is highly dynamic and gated behind complex calculators. Accessing Bajaj Allianz rates at scale requires automated form traversal, not simple GET requests."
Extracting accurate premiums requires managing multi-step state, handling input validation, and iterating through thousands of vehicle and demographic permutations. DataFlirt manages this execution grid so your actuarial teams get clean CSVs, not session errors.
Everything supported by our bajajallianz.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.
Headless browser clusters execute complex JavaScript forms, handle dropdown hydration, and maintain session state across multi-page quotation funnels.
Residential IPs matched to specific Indian states ensure regional pricing calculators load correctly without triggering web application firewalls.
Pipelines run on AWS Lambda (burst) and ECS (sustained). Airflow handles input matrix chunking, dependency management, and SLA alerting.
Data delivered to where your team already works — no new tooling required.
About bajajallianz.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available quotation tools and directories is generally permissible under applicable law. DataFlirt targets only public, non-authenticated calculators and PDFs. We do not extract personal policyholder data or circumvent authentication walls. Clients should consult legal counsel for specific use cases.
We use Playwright to simulate real browser interactions. Our scripts input the required variables (e.g., vehicle registration, age, PIN code), wait for AJAX responses, and extract the resulting premium tables exactly as a human user would see them.
Yes. We download the PDF brochures and policy wordings linked on the site, then process them through text extraction pipelines to isolate specific clauses, waiting periods, and exclusion lists.
Most clients opt for weekly or monthly refreshes to track rate revisions. We can execute full matrix runs across thousands of permutations within a 24-hour window using parallel browser clusters.
Yes. We extract the complete directories, including addresses, contact numbers, and specialities, and geocode them if latitude/longitude coordinates are exposed in the map interfaces.
You provide the matrix of variables you want to test: age bands, sum insured values, vehicle makes/models, and RTO codes. We handle the iteration logic and data extraction.
Yes. We provide a sample run covering a subset of RTOs or age bands as part of the scoping process, allowing you to validate the schema and premium accuracy before committing.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off extraction of the hospital network or a continuous premium-monitoring feed across 50,000 vehicle permutations, we scope, build, and operate the pipeline. Tell us what you need.
