We extract dynamic premium quotes, cashless garage networks, hospital directories, and policy add-ons from Acko. 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 Motor Quotes objects from acko.com. All fields typed and schema-versioned.
"vehicle_make": "Hyundai", "vehicle_model": "Creta", "rto_code": "KA-01", "base_premium": 8450.0, "idv_value": 750000.0, "zero_dep_cost": 2100.0, "total_premium": 12449.0
| # | vehicle_make | vehicle_model | variant | registration_year | rto_code | base_premium |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Health Quotes objects from acko.com. All fields typed and schema-versioned.
"plan_name": "Acko Standard Health", "sum_insured": 1000000.0, "age_band": "31-35", "pincode": "560034", "base_premium": 7200.0, "room_rent_limit": "No Limit", "total_premium": 8496.0
| # | plan_name | sum_insured | age_band | pincode | base_premium | room_rent_limit |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Network Hospitals objects from acko.com. All fields typed and schema-versioned.
"hospital_name": "Manipal Hospital", "city": "Bengaluru", "pincode": "560017", "cashless_facility": true, "specialties": "['Cardiology', 'Orthopedics', 'General Surgery']", "latitude": 12.9591, "longitude": 77.6474
| # | hospital_name | address | city | state | pincode | contact_number |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Cashless Garages objects from acko.com. All fields typed and schema-versioned.
"garage_name": "Trident Hyundai", "workshop_type": "Authorized Dealer", "city": "Bengaluru", "pincode": "560025", "cashless_supported": true, "supported_brands": "['Hyundai']", "contact": "+918045678901"
| # | garage_name | workshop_type | supported_brands | address | city | state |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Travel Insurance objects from acko.com. All fields typed and schema-versioned.
"destination_region": "Schengen", "trip_duration_days": 15, "traveller_age": 28, "plan_tier": "Platinum", "medical_cover_limit": 500000.0, "base_premium": 1450.0, "total_premium": 1711.0
| # | destination_region | trip_duration_days | traveller_age | plan_tier | medical_cover_limit | trip_cancellation_limit |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Our Acko scraper traverses dynamic quote funnels, mapping complex premium matrices across vehicles, age bands, and pin-codes while extracting comprehensive provider network directories.
Extract accurate quotes across all RTOs, vehicle makes, models, and registration years. Capture base third-party rates and comprehensive cover premiums.
Map health insurance pricing logic across age bands, family structures, sum insured limits, and geographical zones.
Isolate the exact cost of Zero Depreciation, Engine Protect, Consumables Cover, and Roadside Assistance for any given vehicle profile.
Track Insured Declared Value ranges and how they impact the final premium output across different depreciation brackets.
Extract the complete directory of authorised and multi-brand workshops supporting cashless claims, complete with geocoordinates.
Scrape the full list of network hospitals, including supported specialties, room rent limits, and exact location data.
Capture premium tables for international travel plans and device insurance quotes based on destination or device model.
Automate sequential quote generation across thousands of Indian pin-codes to build a national pricing map.
Bypass the frontend UI and interact directly with Acko's pricing APIs for high-throughput, low-latency data extraction.
Brief in. Clean data out.
Provide your target parameters: RTO lists, vehicle models, age bands, or pin-codes. We map the required extraction schema.
We configure stateful API crawlers, session token management, and proxy rotation to query Acko's pricing engines.
Schema validation, premium outlier detection, and null-rate checks ensure data accuracy before production deployment.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on your specified schedule.
Extracting quotes requires simulating complex user journeys. Here is how we maintain pipeline stability and throughput.
Acko's pricing requires sequential API calls: vehicle lookup, details submission, and quote retrieval. We maintain session state and handle JWT token refreshing automatically to ensure the funnel completes successfully.
Generating thousands of quotes triggers API rate limits. We distribute requests across a large pool of Indian residential IPs, normalising request velocity to mimic legitimate user traffic patterns.
To build a complete pricing map, we iterate through millions of combinations (RTO x Make x Model x Year). Our Airflow orchestrator manages these vast parameter matrices, ensuring complete coverage without duplication.
Insurance providers frequently update their API response structures to add new policy features. We monitor the JSON payloads for schema drift, automatically alerting our engineers if required fields change location.
We implement strict boundary checks on premium values. If a total premium returns as 0 or exceeds expected actuarial limits, the record is flagged and retried automatically to prevent bad data entering your warehouse.
Legacy insurers track Acko's digital-first pricing models across specific vehicle segments and RTOs to adjust their own underwriting algorithms.
Insurance comparison portals use our feeds to maintain accurate, up-to-date premium estimates for users before redirecting them.
Actuaries analyse Acko's IDV depreciation curves and add-on pricing to benchmark market standards for specific risk profiles.
Healthcare administrators and competing insurers map Acko's hospital and garage networks to identify coverage gaps in specific pin-codes.
Analysts monitor the rollout of new Acko products, such as specific electronics covers or micro-insurance plans, across different regions.
Product teams analyse how Acko bundles covers and sets deductibles to design competing insurance products with better market fit.
"Acko's digital pricing engine adjusts to micro-segments and pin-codes instantly. Extracting that logic requires simulating thousands of user journeys concurrently."
Extracting insurance premiums at scale requires managing complex state flows, from vehicle registration lookups to dynamic IDV adjustments. DataFlirt handles the session management, token refreshing, and sequential API calls required to map Acko's entire pricing matrix across millions of parameters.
Everything supported by our acko.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.
We bypass heavy frontend rendering to interact directly with backend pricing APIs, managing JWT tokens and session state via custom Python middleware.
Pipelines route through high-quality Indian residential IP pools to prevent rate limiting and ensure geographic pricing accuracy.
Airflow manages the combinatorial matrix of quote parameters, distributing extraction tasks across Kubernetes clusters for maximum throughput.
Data delivered to where your team already works — no new tooling required.
About acko.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly accessible quote data and provider directories is generally permissible. DataFlirt extracts only public, non-authenticated pricing and network data. We do not access user accounts, policy documents, or personal identifiable information. Clients must ensure their specific use case complies with relevant regulations.
We build stateful crawlers that replicate the exact API call sequence required by Acko's frontend, managing session tokens and payloads programmatically to ensure valid quotes are returned.
Yes. We maintain a master list of RTO codes and iterate through them systematically to build a comprehensive national pricing matrix.
Pipelines can be configured to run daily, weekly, or monthly depending on your requirements. Network directory updates are typically scheduled on a weekly cadence.
Yes. We extract the itemised cost of all available add-ons, including Zero Depreciation, Engine Protect, and Consumables, alongside the base premium.
Engagements typically start with a defined parameter matrix, such as tracking top 50 vehicle models across 10 major cities. Contact us with your specific matrix size for a precise infrastructure quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off extraction of network hospitals or a continuous feed of motor insurance premiums across 1,000 RTOs, we build and operate the pipeline. Tell us what you need.
