We extract insurance premiums, credit card terms, loan APRs, and broadband tariffs from Moneysupermarket. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake.
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 moneysupermarket.com. All fields typed and schema-versioned.
"provider_name": "Admiral", "premium_annual": 482.5, "premium_monthly": 44.1, "total_excess": 250, "defaqto_rating": 5, "courtesy_car_included": true, "windscreen_cover_included": true
| # | provider_name | premium_annual | premium_monthly | voluntary_excess | compulsory_excess | total_excess |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Credit Cards objects from moneysupermarket.com. All fields typed and schema-versioned.
"card_name": "Platinum Balance Transfer", "provider": "Barclaycard", "apr_representative": 24.9, "balance_transfer_fee_pct": 2.9, "balance_transfer_duration_months": 28, "annual_fee": 0, "foreign_transaction_fee": 2.99
| # | card_name | provider | apr_representative | purchase_rate | balance_transfer_fee_pct | balance_transfer_duration_months |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Personal Loans objects from moneysupermarket.com. All fields typed and schema-versioned.
"provider": "Tesco Bank", "loan_amount": 10000, "term_months": 60, "apr_representative": 6.1, "monthly_repayment": 193.24, "total_repayable": 11594.4, "acceptance_estimate_pct": 85
| # | provider | loan_amount | term_months | apr_representative | monthly_repayment | total_repayable |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Broadband objects from moneysupermarket.com. All fields typed and schema-versioned.
"provider": "Virgin Media", "package_name": "M250 Fibre Broadband", "speed_mbps_avg": 264, "monthly_cost": 32.99, "upfront_cost": 0, "contract_length_months": 18, "technology_type": "Fibre to the premises"
| # | provider | package_name | speed_mbps_avg | monthly_cost | upfront_cost | contract_length_months |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Home Insurance objects from moneysupermarket.com. All fields typed and schema-versioned.
"provider": "Churchill", "premium_annual": 185.0, "buildings_cover_limit": 1000000, "contents_cover_limit": 50000, "accidental_damage_included": false, "excess_total": 200, "defaqto_rating": 5
| # | provider | premium_annual | buildings_cover_limit | contents_cover_limit | accidental_damage_included | home_emergency_included |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Moneysupermarket relies on complex multi-step forms and session validation. Our pipeline executes these flows programmatically to surface the underlying quote data across all major verticals.
Execute driver and vehicle profile forms to extract provider names, annual premiums, excess breakdowns, and included coverages.
Capture representative APRs, balance transfer durations, purchase rates, and annual fees across all listed card products.
Extract tier-based APRs, monthly repayment calculations, and total repayable amounts based on specific borrowing scenarios.
Monitor ISP pricing, advertised speeds, setup fees, and contract lengths across fibre and ADSL packages.
Generate quotes for buildings and contents cover, capturing limits, accidental damage options, and Defaqto ratings.
Programmatic traversal of 10+ page quote forms using Playwright, injecting test profiles to generate real market quotes.
Requests route through UK residential ISP proxies to bypass regional blocks and access domestic pricing tiers.
Provider data structures vary wildly. We map all outputs to a unified schema for immediate warehouse ingestion.
Configure daily or weekly runs to track premium fluctuations and introductory offer expirations over time.
Brief in. Clean data out.
Provide the test profiles, vehicle details, or property specifications. We design the extraction schema together.
We configure Playwright scripts to navigate the multi-step forms, handle session tokens, and bypass rate limits.
Schema validation, null-rate checks, and premium outlier detection before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting quotes requires more than HTTP GET requests. It requires full browser automation and session persistence.
Insurance quotes require executing complex forms spanning multiple pages. Our Playwright scripts inject driver details, vehicle registrations, and address histories programmatically, handling validation errors and dynamic field rendering.
Moneysupermarket uses strict session tokens to tie form inputs to the final quote page. We maintain full cookie jars and local storage states throughout the execution flow to ensure the quote engine returns valid results.
Financial comparison sites block data centre IPs and non-UK traffic. We route all requests through high-reputation UK residential proxies, rotating IPs between distinct quote generation flows to avoid rate limiting.
The final results page renders provider blocks dynamically based on the quote type. We use resilient selector chains to parse variable DOM structures, ensuring all excess breakdowns and feature flags are captured.
Currency symbols, commas, and formatting artefacts are stripped during extraction. All premiums, APRs, and excess amounts are cast to strict float types before delivery to your warehouse.
Insurance providers track rival premium quotes across specific demographic profiles to adjust their own pricing models.
Risk teams ingest market-wide premium data to benchmark their underwriting algorithms against industry averages.
Credit card issuers monitor introductory APR periods and balance transfer fees to position new product launches effectively.
Analysts track the presence and ranking of specific providers across comparison verticals to estimate acquisition volume.
Marketing teams monitor broadband and energy reward card values and cashback offers to maintain competitive parity.
Economists aggregate loan APRs and insurance premiums over time to measure consumer inflation and credit availability.
"Financial comparison data is the purest signal of consumer pricing, but extracting it requires executing thousands of complex forms programmatically."
Most teams fail at scraping quote engines because they underestimate the session management required. DataFlirt handles the Playwright automation, UK proxy routing, and schema normalisation so your analysts get clean premium data without managing browser infrastructure.
Everything supported by our moneysupermarket.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 handles the complex multi-step form execution, session token persistence, and dynamic DOM rendering required to generate valid quotes.
We maintain dedicated pools of UK residential ISP proxies to bypass geolocation restrictions and rate limiting on financial comparison sites.
Pipelines run on AWS ECS. Airflow handles scheduling, profile iteration, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About moneysupermarket.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly accessible comparison data is generally permissible. DataFlirt executes forms using generic test profiles to extract market rates. We do not extract PII, circumvent authentication walls, or access private Credit Monitor data. Clients must ensure their use of the data complies with relevant financial regulations and terms of service.
We use Playwright to automate full browser sessions. Our scripts input predefined demographic data, handle dynamic validation errors, and persist session cookies across the entire flow until the final quote page renders.
Yes. Clients typically provide a matrix of test profiles (e.g., combinations of age, postcode, and vehicle type). Our pipeline iterates through this matrix to generate a comprehensive view of market pricing.
Due to the time required to execute multi-step forms programmatically, pipelines are typically scheduled for daily or weekly runs across a defined set of profiles.
Yes. Moneysupermarket blocks non-UK traffic. We route all requests through high-reputation UK residential proxies to ensure consistent access.
Yes. We extract the total premium along with voluntary excess, compulsory excess, and flags for included coverages like legal expenses and courtesy cars.
Our packages start at a defined matrix of test profiles with weekly delivery. Pricing scales based on the number of profiles and the frequency of execution. Contact us to scope your specific requirements.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need to monitor car insurance premiums across 1,000 postcodes or track credit card APRs daily, we scope, build, and operate the infrastructure. Tell us what you need.
