We extract premium rates, carrier comparisons, coverage options, and discount data from Insurify. 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 Auto Quotes objects from insurify.com. All fields typed and schema-versioned.
"carrier_name": "Progressive", "monthly_premium": 142.5, "coverage_type": "Full Coverage", "deductible_collision": 500, "deductible_comprehensive": 500, "zip_code": "90210", "bodily_injury_limit": "50k/100k"
| # | quote_id | carrier_name | carrier_logo | monthly_premium | six_month_premium | coverage_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Home Quotes objects from insurify.com. All fields typed and schema-versioned.
"carrier_name": "Liberty Mutual", "monthly_premium": 85.0, "dwelling_coverage": 350000, "personal_property": 175000, "liability_limit": 300000, "deductible": 1000, "zip_code": "30301"
| # | quote_id | carrier_name | monthly_premium | annual_premium | dwelling_coverage | personal_property |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Carrier Profiles objects from insurify.com. All fields typed and schema-versioned.
"name": "Geico", "am_best_rating": "A++", "insurify_composite_score": 4.8, "year_founded": 1936, "headquarters": "Chevy Chase, MD", "states_active": 50
| # | carrier_id | name | am_best_rating | jd_power_score | insurify_composite_score | year_founded |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Discounts objects from insurify.com. All fields typed and schema-versioned.
"carrier_name": "State Farm", "discount_name": "Safe Driver", "discount_type": "Telematics", "estimated_savings_pct": 15, "applicable_coverage": "Liability", "stackable": true
| # | carrier_name | discount_name | discount_type | estimated_savings_pct | requirements | applicable_coverage |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Vehicle Data objects from insurify.com. All fields typed and schema-versioned.
"vehicle_year": 2022, "vehicle_make": "Toyota", "vehicle_model": "Camry", "safety_rating": "5 Star", "avg_insurance_cost": 165.0, "primary_use": "Commute"
| # | vehicle_year | vehicle_make | vehicle_model | trim | body_style | safety_rating |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Our Insurify scraper navigates complex multi-step forms, handles session tokens, and extracts comparative premium data across thousands of simulated driver profiles and ZIP codes.
Automated traversal of multi-step quote generation forms with synthetic driver and property profiles.
Capture monthly, 6-month, and annual premium variations across all presented carriers.
Extract exact limits for bodily injury, property damage, uninsured motorist, and PIP.
Track how premium prices shift when adjusting collision and comprehensive deductibles.
Scrape Insurify composite scores, AM Best ratings, and JD Power data for each provider.
Identify available discounts like multi-policy, safe driver, and good student across carriers.
Execute quote simulations across specific US ZIP codes to build geographic pricing heatmaps.
Route requests through state-specific US residential proxies to bypass regional blocking and ensure accurate rates.
Maintain persistent cookie sessions to prevent quote timeouts and rate-limiting blocks.
Monitor premium fluctuations for identical profiles over time to track carrier pricing adjustments.
Brief in. Clean data out.
Provide ZIP codes, vehicle models, or property specs. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for insurify.com.
Schema validation, null-rate checks, price-outlier detection, and sample profiles before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Insurify uses strict bot protection to prevent competitors from scraping rate data. Here is how we maintain extraction reliability.
Quote generation requires multi-step form submissions with strict validation. We maintain persistent Playwright sessions to hold state across the entire funnel.
Insurance rates are highly localized. We route all traffic through state-specific US residential proxies to ensure accurate quote generation and avoid geo-blocks.
Insurify protects API endpoints with dynamic session tokens generated via JavaScript. We execute full browser contexts to capture and sign requests correctly.
Aggregators deploy strict Web Application Firewalls. We spoof TLS fingerprints, HTTP/2 headers, and canvas signatures to match legitimate consumer traffic.
To extract comprehensive rate tables, we programmatically generate valid driver, vehicle, and property profiles tied to specific ZIP codes.
Insurance carriers track competitor premiums across specific demographics and ZIP codes to adjust their own underwriting models.
Actuaries map premium variations across different regions to identify risk patterns and pricing inefficiencies.
Insurtech startups analyse coverage limits and discount structures to design new insurance products.
Analysts track the frequency of carrier appearances in top quote results to estimate market penetration.
Economic researchers aggregate auto and home insurance rates to track inflation in the insurance sector.
Agencies monitor aggregator pricing to optimise their own lead acquisition costs and customer lifetime value models.
"Aggregator platforms hold the most accurate comparative pricing data in the insurance industry, but accessing it requires navigating complex multi-step forms and strict bot defences."
Extracting quotes at scale from Insurify requires more than simple HTTP requests. It demands stateful browser sessions, state-specific residential IPs, and dynamic form traversal logic. DataFlirt handles this entire execution layer, delivering clean rate tables directly to your warehouse.
Everything supported by our insurify.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 complex multi-step quote forms, maintaining session state and executing JavaScript to reveal final premium tables.
We maintain pools of US residential ISP proxies. Requests are routed through specific states to ensure accurate localized quote generation.
Pipelines run on AWS Lambda (burst) and ECS (sustained). 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 insurify.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly accessible rate comparisons is generally permissible. DataFlirt uses synthetic profiles to generate quotes and strictly avoids extracting any PII or bypassing authenticated user portals.
We use Playwright to programmatically navigate the form funnel, injecting synthetic vehicle, property, and driver data to reach the final rate comparison page.
Yes. We accept input parameters including ZIP codes, vehicle models, driver ages, and coverage requirements to generate targeted quote tables.
Yes. Insurance rates are heavily localized. We route all Insurify requests through state-specific US residential proxies to ensure accurate pricing.
Pipelines can be configured for daily or weekly refreshes across your target profile matrix, ensuring you track carrier rate changes as they happen.
Yes. We scrape the specific discounts applied to each quote, such as multi-car, safe driver, or paperless billing discounts.
Yes. Our infrastructure includes automated solver integrations (CapSolver, 2Captcha) and TLS fingerprinting to bypass WAFs and challenge pages.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off geographic rate analysis or continuous competitor premium monitoring across thousands of profiles, we scope, build, and operate the pipeline.
