We extract carrier rates, coverage tiers, deductible matrices, and discount structures from compare.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 Carrier Quotes objects from compare.com. All fields typed and schema-versioned.
"carrier_name": "Elephant Auto", "premium_monthly": 84.5, "premium_annual": 1014.0, "coverage_type": "State Minimum", "down_payment": 84.5, "bodily_injury_limits": "25k/50k", "deductible_collision": 500
| # | quote_id | carrier_name | premium_monthly | premium_annual | down_payment | coverage_type |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Coverage Details objects from compare.com. All fields typed and schema-versioned.
"plan_name": "Premium Plus", "roadside_assistance": true, "rental_reimbursement": 30.0, "medical_payments": 5000, "pip_coverage": false, "glass_coverage": true, "gap_insurance": false
| # | coverage_id | carrier_name | plan_name | roadside_assistance | rental_reimbursement | medical_payments |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Discount Profiles objects from compare.com. All fields typed and schema-versioned.
"carrier_name": "Liberty Mutual", "discount_name": "Safe Driver", "discount_pct": 15.0, "requires_telematics": true, "paperless": true, "auto_pay": true, "multi_policy": false
| # | carrier_name | discount_name | discount_amount | discount_pct | requires_telematics | multi_car |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for ZIP Code Aggregates objects from compare.com. All fields typed and schema-versioned.
"zip_code": "78701", "state": "TX", "avg_premium": 142.0, "min_premium": 89.0, "carrier_count": 14, "cheapest_carrier": "Geico"
| # | zip_code | state | city | avg_premium | min_premium | max_premium |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Carrier Profiles objects from compare.com. All fields typed and schema-versioned.
"carrier_name": "Nationwide", "am_best_rating": "A+", "naic_number": "23787", "founded_year": 1926, "states_active": 50, "claims_phone": "800-421-3535"
| # | carrier_id | carrier_name | am_best_rating | naic_number | founded_year | customer_service_phone |
|---|---|---|---|---|---|---|
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Our compare.com scraper handles complex form submissions, dynamic quote generation, and ZIP code localisation. We bypass aggressive bot protection to deliver clean premium data.
Automated filling of multi-step driver profile forms. We simulate hundreds of driver personas to generate comprehensive quote matrices.
Extract monthly premiums, annual totals, and down payment requirements across all participating carriers on compare.com.
Capture state minimums, basic, and premium coverage options alongside specific bodily injury and property damage limits.
Scrape price variations based on $500, $1000, and $2000 collision and comprehensive deductible selections.
Extract available discounts including safe driver, multi-car, good student, and telematics program opt-ins.
Run quotes across 40,000+ US ZIP codes to build granular geographic pricing models.
Generate quotes for specific make, model, and year combinations to analyse vehicle risk premiums.
Configure weekly or monthly runs to track carrier rate filings and seasonal pricing adjustments.
We standardise varying carrier terminology into a unified schema for immediate database ingestion.
Brief in. Clean data out.
Provide target ZIP codes, driver age brackets, and vehicle profiles. We design the extraction parameters.
We configure Playwright scripts for form execution, map geo-targeted proxies, and handle rate limits.
Schema validation, null-rate checks on premiums, and outlier detection before full deployment.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on your cadence.
Compare.com uses sophisticated anti-scraping measures to protect carrier rates. Here is how we maintain pipeline stability.
Generating a single quote requires navigating up to 15 dynamic form pages. Our Playwright orchestrator maintains session state, handles conditional logic, and injects persona data efficiently to reach the final rate page.
Insurance rates are strictly tied to location. We route requests through residential proxies located in the exact state or ZIP code being queried to prevent blocking and ensure accurate local pricing.
Aggregators monitor quote velocity per IP. We distribute driver profiles across thousands of residential nodes with randomised delays, mimicking organic user behaviour to avoid triggering security blocks.
Carriers display coverage terms differently. Our extraction layer normalises distinct naming conventions into a unified schema, ensuring 'Bodily Injury' and 'BI Liability' map to the same database column.
Quote sessions rely on short-lived JWTs and CSRF tokens. Our pipeline automates token refresh cycles and cookie management to keep long-running extraction jobs active.
Insurance carriers track rival pricing strategies across demographics to adjust their own actuarial models.
Risk analysts use aggregate premium data to validate internal pricing algorithms against broader market trends.
Carriers entering new states analyse local pricing floors and ceilings to position their initial rate filings.
Product teams evaluate competitor discount structures to design more appealing telematics or bundle offers.
Agencies identify ZIP codes with high average premiums to target their digital marketing spend efficiently.
Financial researchers track auto insurance inflation rates by monitoring premium changes across key geographic markets.
"Compare.com aggregates millions of insurance rates, but extracting that pricing matrix requires simulating thousands of driver profiles at scale."
Insurance aggregators employ aggressive bot protection to prevent rate scraping. Reliable extraction requires residential proxies mapped to target ZIP codes, complex multi-step form execution, and dynamic session handling. DataFlirt manages this infrastructure so your pricing team focuses on actuarial analysis, not crawler maintenance.
Everything supported by our compare.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 clusters handle complex DOM interactions, conditional logic, and stateful form submissions required to generate insurance quotes.
Requests are routed through US-based residential IPs mapped to the specific ZIP code being queried, preventing location-based blocking.
Custom Python middleware parses disparate carrier responses and maps them to a unified relational schema before warehouse delivery.
Data delivered to where your team already works — no new tooling required.
About compare.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly accessible rate estimations is generally permissible. We do not use real PII, bypass authentication walls, or attempt to bind policies. We generate quotes using synthesised driver personas. Clients should review compare.com terms of service and consult legal counsel.
We use Playwright to orchestrate full browser sessions. Our scripts inject predefined persona data into the forms, handle conditional logic based on vehicle type, and navigate through to the final carrier rate display page.
Yes. We accept target lists of ZIP codes and route the extraction requests through residential proxies located in those specific areas to ensure accurate geographic pricing.
Data is generated in real time during the pipeline run. Depending on the volume of driver personas and ZIP codes, a nationwide matrix refresh typically completes within 24 to 48 hours.
No. We use synthesised driver profiles with realistic demographic parameters. Compare.com provides estimated rates without requiring actual driver license numbers or hard credit checks.
Our minimum engagement starts at 10,000 quote permutations per month. Pricing scales based on the number of driver personas, geographic targets, and delivery frequency.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need state-wide rate matrices or daily competitor pricing updates, we scope, build, and operate the pipeline. Tell us what you need.
