We automate multi-step quote flows to extract carrier pricing, coverage tiers, and discount variables from Gabi. Delivered as clean JSON, CSV, or Parquet to S3 or BigQuery on your schedule.
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 gabi.com. All fields typed and schema-versioned.
"quote_id": "GAB-99281-A", "carrier_name": "Progressive", "premium_monthly": 142.5, "premium_annual": 1710.0, "coverage_tier": "Standard", "deductible_comp": 500, "bodily_injury_limits": "50k/100k", "zip_code": "90210"
| # | quote_id | carrier_name | premium_monthly | premium_annual | coverage_tier | deductible_comp |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Home Quotes objects from gabi.com. All fields typed and schema-versioned.
"quote_id": "GAB-77342-H", "carrier_name": "Travelers", "premium_annual": 1240.0, "dwelling_coverage": 350000, "personal_property": 175000, "liability_coverage": 300000, "deductible": 1000, "zip_code": "30301"
| # | quote_id | carrier_name | premium_annual | dwelling_coverage | personal_property | liability_coverage |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Carrier Network objects from gabi.com. All fields typed and schema-versioned.
"carrier_name": "Nationwide", "am_best_rating": "A+", "states_active": 46, "lines_offered": "['Auto', 'Home', 'Renters']", "partner_status": "Direct", "naic_code": "23787", "average_savings": 285.0
| # | carrier_name | am_best_rating | states_active | lines_offered | discount_types | average_savings |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Discount Profiles objects from gabi.com. All fields typed and schema-versioned.
"discount_name": "Safe Driver", "carrier": "State Farm", "applicable_line": "Auto", "average_pct_savings": 15, "bundle_eligible": true, "telematics_required": true, "state_restrictions": "['CA', 'NY']"
| # | discount_name | carrier | applicable_line | average_pct_savings | requirement_desc | state_restrictions |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Coverage Tiers objects from gabi.com. All fields typed and schema-versioned.
"tier_name": "Premium Protection", "bodily_injury": "100k/300k", "property_damage": "100k", "uninsured_motorist": "100k/300k", "medical_payments": 5000, "rental_reimbursement": true, "roadside_assistance": true
| # | tier_name | description | bodily_injury | property_damage | uninsured_motorist | medical_payments |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Gabi aggregates rates across dozens of carriers. We automate the quote generation flows, handle asynchronous loading states, and extract normalised pricing data across zip codes and driver profiles.
Simulate user journeys by injecting driver profiles, vehicle specifications, and property details into multi-step quote forms.
Handle delayed websockets and polling endpoints to capture carrier rates as they populate asynchronously.
Map distinct carrier coverage limits and deductibles into a unified schema for accurate cross-carrier comparison.
Run extraction pipelines across targeted state or national zip code lists to build geographic pricing models.
Capture applied discounts, telematics requirements, and multi-policy bundling rules presented in the quote breakdown.
Extract participating carrier lists, AM Best ratings, and state availability directly from the aggregator interface.
Maintain complex cookie states and session tokens required to traverse from initial zip code entry to final rate table.
Bypass rate limits and CAPTCHAs using residential proxy pools and human-like interaction timings.
Configure pipelines to run weekly or monthly to track premium inflation and carrier rate adjustments over time.
Brief in. Clean data out.
Provide target zip codes, vehicle models, and driver profiles. We design the extraction schema together.
We configure Playwright scripts to automate form submissions, handle async quote loading, and manage proxy rotation.
Schema validation, null-rate checks, and premium outlier detection before launching the full matrix.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or delivered via Webhook on an agreed cadence.
Insurance aggregators rely on complex state management and delayed third-party API calls. Here is how we extract complete rate tables reliably.
Generating a quote requires traversing 10+ form screens. We use Playwright to inject precise payload data, handle conditional logic branches, and maintain session state through to the final results page.
Carrier APIs return rates at different speeds. Our extractors monitor DOM mutations and network traffic, waiting until all available carrier quotes have populated before capturing the final rate table.
Aggregators restrict aggressive querying. We route requests through US-based residential proxies, matching the IP geolocation to the target zip code to ensure accurate local pricing and avoid blocks.
Every carrier displays coverage limits differently. We parse raw text strings and map them into strict numerical fields for bodily injury, property damage, and deductibles, ensuring clean analytical output.
When a specific carrier API fails during the aggregator flow, we log the failure, capture the remaining successful quotes, and retry the specific profile in a subsequent batch to ensure complete matrix coverage.
Insurance carriers track competitor pricing models across specific zip codes and driver demographics to adjust their own rate filings.
Analysts monitor which carriers consistently win the top position on aggregator platforms to gauge market share expansion.
Product teams analyse how competitors structure multi-policy bundles and telematics discounts to optimise their own offerings.
Hedge funds and economic researchers aggregate monthly premium changes to track consumer cost indices and inflation trends.
Affiliate networks verify aggregator quote accuracy and carrier participation to ensure compliance with partner agreements.
Insurtech startups identify geographic regions with high average premiums to target their customer acquisition campaigns.
"Insurance aggregators hold the most accurate cross-carrier pricing signals, but extracting them requires simulating complex user journeys at scale."
Extracting quote data from Gabi requires managing multi-step form submissions, maintaining state across dynamic React components, and handling asynchronous quote generation delays. We manage the proxy rotation and session persistence so you receive clean, normalised rate tables ready for actuarial analysis.
Everything supported by our gabi.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.
Full browser automation handles React state changes, complex form validations, and asynchronous network requests required to generate final quotes.
Geographically targeted residential proxies ensure accurate local pricing while maintaining the sticky sessions required to complete multi-step forms.
Pipelines run on scalable AWS infrastructure managed by Apache Airflow, allowing parallel processing of thousands of zip code profiles simultaneously.
Data delivered to where your team already works — no new tooling required.
About gabi.com scraping, legality, and pipeline operations.
Ask us directly →Yes. We accept input matrices containing specific age brackets, vehicle models, zip codes, and driving histories. Our pipeline iterates through these combinations to build comprehensive rate tables.
Aggregators often take 30 to 60 seconds to fetch all carrier rates. We configure our Playwright instances to monitor network idle states and specific DOM elements, ensuring we capture the complete table rather than partial results.
We use synthetic profiles with valid zip codes and vehicle data to generate baseline estimates. Extracting exact, bound rates requiring SSN or actual DMV record pulls is not supported.
Pipelines can be scheduled daily, weekly, or monthly. Most actuarial clients opt for monthly runs across a national zip code matrix to track macro pricing trends.
Yes. We parse the raw strings provided by the aggregator and map them to a unified numeric schema. For example, '50k/100k' and '$50,000 / $100,000' are both converted to standard bodily injury integer fields.
Our pipelines use resilient selectors and fallback chains. If a structural change breaks the flow, our monitoring stack alerts us immediately, and our engineers update the extraction logic to restore the pipeline.
20-minute scoping call. Pilot dataset within the week. Production within two. Stop manually checking aggregator rates. Provide your target geographic and demographic matrices, and we will deliver clean, structured pricing data to your warehouse.
