We extract insurance premiums, excess structures, Defaqto ratings, and broadband tariffs from Comparethemarket. Delivered as clean JSON, CSV, or Parquet to S3 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 comparethemarket.com. All fields typed and schema-versioned.
"provider_name": "Admiral", "annual_premium": 482.5, "monthly_premium": 44.12, "voluntary_excess": 250, "compulsory_excess": 150, "defaqto_rating": 5, "courtesy_car": true
| # | provider_name | annual_premium | monthly_premium | voluntary_excess | compulsory_excess | defaqto_rating |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Home Insurance objects from comparethemarket.com. All fields typed and schema-versioned.
"provider_name": "Churchill", "annual_premium": 194.2, "buildings_cover_limit": 1000000, "contents_cover_limit": 50000, "accidental_damage": false, "defaqto_rating": 4, "total_excess": 200
| # | provider_name | annual_premium | buildings_cover_limit | contents_cover_limit | accidental_damage | home_emergency |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Broadband & TV objects from comparethemarket.com. All fields typed and schema-versioned.
"provider_name": "Virgin Media", "package_name": "M250 Fibre Broadband", "download_speed_mbps": 264, "upload_speed_mbps": 25, "monthly_cost": 32.99, "setup_cost": 0.0, "contract_length_months": 18
| # | provider_name | package_name | download_speed_mbps | upload_speed_mbps | monthly_cost | setup_cost |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Credit Cards objects from comparethemarket.com. All fields typed and schema-versioned.
"provider_name": "Barclaycard", "card_name": "Platinum Balance Transfer", "representative_apr": 24.9, "balance_transfer_fee_pct": 2.9, "balance_transfer_duration_months": 28, "annual_fee": 0.0, "credit_limit_min": 50
| # | provider_name | card_name | representative_apr | purchase_rate | balance_transfer_fee_pct | balance_transfer_duration_months |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Energy objects from comparethemarket.com. All fields typed and schema-versioned.
"provider_name": "Octopus Energy", "tariff_name": "Flexible Octopus", "tariff_type": "Variable", "estimated_annual_cost": 1842.1, "exit_fee": 0.0, "green_energy_pct": 100, "unit_rate_elec": 24.5
| # | provider_name | tariff_name | tariff_type | payment_method | estimated_annual_cost | exit_fee |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Comparethemarket requires complex state management. Our pipeline executes multi-step quote forms across thousands of synthetic profiles, extracting the exact pricing grid presented to consumers.
Navigate complex quote journeys with programmatic profile injection across 20+ form stages.
Extract premiums, excess structures, and Defaqto ratings across all insurance verticals.
Capture quote variations based on postcode, age, vehicle registration, and risk profile inputs.
Scrape download speeds, setup costs, and contract terms for ISP comparisons.
Extract representative APRs, balance transfer durations, and fee structures for credit cards.
Monitor unit rates, standing charges, and exit fees across variable and fixed energy plans.
Bypass Cloudflare and JS challenges using residential proxies and TLS fingerprinting.
Run thousands of synthetic user profiles concurrently to map the entire pricing grid.
Identify premium changes and new provider entries with hash-based change detection.
Brief in. Clean data out.
Provide input profiles, target verticals, and extraction frequency. We map the required quote journeys.
We engineer Playwright scripts to navigate multi-step forms and handle anti-bot friction.
Schema validation, premium outlier detection, and null-rate checks before production deployment.
JSON, CSV, or Parquet pushed to your S3 bucket or Snowflake warehouse on schedule.
Comparethemarket employs strict bot mitigation and session binding. Here is how we maintain reliable extraction.
Comparethemarket uses long, multi-page quote forms. We maintain session state across numerous steps using Playwright, handling dynamic validation and API delays.
The site employs strict WAF and bot detection. We use UK residential proxies and realistic input pacing to avoid blocks and IP bans.
Quotes are session-bound and expire quickly. We extract and persist the exact pricing grid at the moment of generation before tokens invalidate.
Provider result layouts change frequently. Our selectors use fallback chains targeting underlying JSON state where possible to ensure stability.
Generating thousands of quotes simultaneously triggers rate limits. We distribute requests across IP pools and time windows to map pricing grids safely.
Insurers and brokers monitor market positioning across specific demographic profiles.
Actuaries analyse how competitors price specific risk factors like age or postcode.
Telecom and energy providers track visibility and ranking in comparison tables.
Brands verify their products appear correctly and pricing matches their internal rating engines.
Analysts aggregate average premium inflation and energy tariff fluctuations over time.
Insurers predict churn by comparing their renewal quotes against the broader aggregator market.
"Aggregators hold the ground truth for consumer pricing. If you cannot see how your competitors quote on Comparethemarket, you are pricing in the dark."
Extracting quote data requires executing complex, multi-page forms thousands of times across varied user profiles. DataFlirt handles the session management, proxy rotation, and anti-bot mitigation so your analytics team receives clean, normalised pricing data.
Everything supported by our comparethemarket.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 script complex state machines to navigate 20-step quote journeys, handling dynamic validation and asynchronous API calls.
We route traffic through premium UK residential IPs to bypass region locks and aggregator WAF rules.
Thousands of synthetic profiles run concurrently on Kubernetes, orchestrated by Airflow to map entire pricing grids rapidly.
Data delivered to where your team already works — no new tooling required.
About comparethemarket.com scraping, legality, and pipeline operations.
Ask us directly →Scraping public pricing data is generally permissible for market research. We use synthetic profiles and do not extract PII or breach authenticated user accounts. Clients must review their own compliance requirements.
We build Playwright state machines that programmatically inject profile data, handle validation errors, and wait for asynchronous pricing engines to return results.
Yes. We cover car, home, pet, travel, life, and van insurance, along with broadband, energy, and financial products.
We utilise UK residential proxies, realistic TLS fingerprinting, and automated CAPTCHA solvers to maintain high success rates on quote generation.
Yes. You can supply a matrix of postcodes, vehicle registrations, and demographic data. We execute the quotes against your specific risk profiles.
We can run daily or weekly sweeps across your profile matrix. Real-time extraction is possible but subject to the inherent latency of aggregator pricing engines.
Yes. We extract the core premium, voluntary and compulsory excess, Defaqto star ratings, and boolean flags for features like courtesy cars or legal cover.
20-minute scoping call. Pilot dataset within the week. Production within two. From daily car insurance benchmarking to broadband tariff tracking, we build the pipelines that deliver clean comparison data. Tell us your requirements.
