We extract premium quotes, provider coverage tiers, excess limits, and policy features from Confused.com. 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 Car Insurance objects from confused.com. All fields typed and schema-versioned.
"provider_name": "Admiral", "premium_annual": 482.5, "compulsory_excess": 150, "voluntary_excess": 200, "defaqto_rating": 5, "courtesy_car": true
| # | provider_name | premium_annual | premium_monthly | compulsory_excess | voluntary_excess | total_excess |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Home Insurance objects from confused.com. All fields typed and schema-versioned.
"provider_name": "Churchill", "premium_annual": 185.0, "buildings_cover_limit": 1000000, "contents_cover_limit": 50000, "accidental_damage": false, "total_excess": 250
| # | provider_name | premium_annual | buildings_cover_limit | contents_cover_limit | accidental_damage | home_emergency |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Policy Add-ons objects from confused.com. All fields typed and schema-versioned.
"provider_name": "Hastings Direct", "policy_type": "Car", "breakdown_cover_price": 29.99, "legal_protection_price": 19.99, "key_cover_price": 15.0, "protected_ncb_price": 35.0
| # | provider_name | policy_type | breakdown_cover_price | legal_protection_price | key_cover_price | protected_ncb_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Travel Insurance objects from confused.com. All fields typed and schema-versioned.
"provider_name": "Post Office", "premium_total": 45.2, "cover_type": "Annual Multi-trip", "destination_zone": "Europe", "medical_cover_limit": 5000000, "excess_amount": 50
| # | provider_name | premium_total | cover_type | destination_zone | medical_cover_limit | cancellation_cover |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Pet Insurance objects from confused.com. All fields typed and schema-versioned.
"provider_name": "Petplan", "premium_annual": 345.6, "cover_type": "Lifetime", "vet_fee_limit": 4000, "excess_amount": 95, "co_payment_pct": 10
| # | provider_name | premium_annual | premium_monthly | cover_type | vet_fee_limit | excess_amount |
|---|---|---|---|---|---|---|
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Our pipeline handles every layer of the aggregator platform: multi-step form submissions, dynamic pricing interpolation, excess permutations, and bot circumvention.
Extract comprehensive, third-party fire and theft, and third-party only quotes across all providers.
Capture buildings and contents insurance pricing with granular limits and excess permutations.
Monitor policy quality scores alongside pricing to map value propositions across the market.
Isolate the cost of legal cover, breakdown assistance, and key cover to analyse cross-sell margins.
Handle complex quote generation flows with dynamic vehicle registration and postcode inputs.
Iterate through voluntary excess dropdowns to map the exact premium curve for every provider.
Extract single-trip and annual multi-trip premiums mapped against destination zones and medical limits.
Capture lifetime, maximum benefit, and time-limited policy pricing for specific breeds and ages.
Run daily or weekly price comparison sweeps across predefined risk profiles to track market inflation.
Brief in. Clean data out.
Provide risk profiles, vehicle sets, or postcodes. We design the extraction schema and input permutations together.
We configure Playwright crawlers, handle multi-step form state, manage sessions, and bypass aggregator bot detection.
Schema validation, null-rate checks, premium outlier detection, and sample quote verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Confused.com invests heavily in rate limiting and bot detection. Here is how we stay resilient.
Confused.com requires complex sequential inputs. We maintain persistent Playwright sessions to inject postcodes, vehicle data, and driver histories without triggering validation errors.
Aggregators block repetitive quote requests. Our crawlers use UK residential ISP proxies with realistic browser fingerprints and randomised typing delays.
Provider prices load asynchronously via WebSockets and XHR. We monitor network traffic directly to capture quotes the millisecond they return, bypassing UI rendering delays.
To map a pricing curve, we iterate thousands of risk profiles. Our Kubernetes cluster distributes these permutations across parallel workers to complete market sweeps in hours.
UI layouts change frequently. Our selector strategy uses multiple fallback chains per field so a CSS update does not break your data pipeline overnight.
Underwriting teams monitor rival premiums across specific postcodes and vehicle groups to optimise their own pricing models.
Analysts track average premium fluctuations over time to publish consumer price indices for motor and home insurance.
Product teams analyse how competitors price breakdown cover and legal protection to structure profitable cross-sell journeys.
Actuaries correlate premium changes against specific risk variables like age, occupation, and claims history across the aggregator market.
Marketing teams track how their policy features and Defaqto ratings compare to cheaper, lower-tier alternatives on the results page.
Strategy teams detect when new MGAs or challenger brands appear on the aggregator panel and track their initial pricing strategies.
"Confused.com holds the definitive pulse on UK insurance pricing, but mapping that data requires navigating complex form states and aggressive rate limits."
Most teams underestimate the investment required: reliable aggregator scraping requires UK residential proxies, multi-step form automation, asynchronous network interception, and daily selector maintenance. DataFlirt absorbs that complexity so your actuaries can focus on the analysis, not the infrastructure.
Everything supported by our confused.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.
Scrapy handles crawl orchestration and retry logic. Playwright handles multi-step form injection, cookie sessions, and interaction flows.
We maintain pools of UK residential ISP proxies. Rotation happens per-request with sticky sessions required for the duration of the quote journey.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About confused.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available pricing from aggregators is generally permissible under UK law for market research purposes. DataFlirt targets only public quote data generated via synthetic risk profiles. We do not extract personal data or circumvent authentication walls. Clients should review terms of service and consult legal counsel.
We use Playwright to automate the entire journey. We inject postcodes, vehicle registrations, and driver details synthetically, maintaining session state across all 5 stages of the form without triggering validation blocks.
Yes. You provide a matrix of risk variables, and our Kubernetes cluster distributes these permutations across parallel workers to generate comprehensive market pricing curves.
We use UK residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human typing speeds. We monitor for CAPTCHA spikes and trigger solver queues automatically.
Yes. Alongside the base premium, we extract voluntary and compulsory excess, breakdown cover costs, legal protection fees, and the provider's Defaqto star rating.
We execute market sweeps on your specified cadence. Daily and weekly runs are standard for competitor tracking. Execution time depends on the size of your risk profile matrix.
Our smallest packages start at a defined matrix of 5,000 risk profiles with weekly delivery. For larger matrices or custom schema requirements, we price based on compute volume and delivery frequency.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off premium matrix dump or a continuous price-monitoring feed across millions of risk profiles, we scope, build, and operate the pipeline. Tell us what you need.
