We extract comparative insurance quotes, agent networks, state coverage requirements, and product metadata from Geico. 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 geico.com. All fields typed and schema-versioned.
"quote_id": "GQ-84729104", "zip_code": "30301", "vehicle_make": "Honda", "vehicle_model": "Civic", "vehicle_year": 2019, "premium_monthly": 142.5, "bi_limits": "100k/300k", "pd_limits": "50k"
| # | quote_id | zip_code | vehicle_make | vehicle_model | vehicle_year | driver_age |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Agent Directory objects from geico.com. All fields typed and schema-versioned.
"agent_id": "AGT-4921", "name": "Sarah Jenkins", "city": "Atlanta", "state": "GA", "zip_code": "30303", "phone": "404-555-0198", "rating": 4.8, "review_count": 142
| # | agent_id | name | address | city | state | zip_code |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Coverage Requirements objects from geico.com. All fields typed and schema-versioned.
"state_code": "NY", "min_liability_bi": "25k/50k", "min_liability_pd": "10k", "pip_required": true, "um_uim_required": true, "tort_system": "No-Fault", "effective_date": "2023-01-01"
| # | state_code | state_name | min_liability_bi | min_liability_pd | pip_required | um_uim_required |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Repair Shops objects from geico.com. All fields typed and schema-versioned.
"shop_id": "RS-8832", "name": "Downtown Collision Center", "city": "Chicago", "state": "IL", "auto_repair_xpress": true, "distance_miles": 4.2, "services_offered": "['Collision', 'Glass', 'Paint']", "phone": "312-555-0144"
| # | shop_id | name | address | city | state | zip_code |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Discount Rules objects from geico.com. All fields typed and schema-versioned.
"discount_name": "Good Student Discount", "category": "Driver Profile", "max_savings_pct": 15, "proof_required": true, "stackable": true, "applicable_policies": "['Auto', 'Motorcycle']", "state_availability": "All except CA, HI"
| # | discount_name | category | applicable_policies | max_savings_pct | state_availability | requirements |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Geico scraper automates complex multi-step quote forms, maps agent networks, and extracts state-level coverage requirements using headless browsers and residential proxies.
Navigate complex multi-step forms using Playwright to extract accurate rate quotes based on specific demographic and vehicle inputs.
Extract complete profiles for local agents, including contact details, office hours, languages spoken, and geographic coordinates.
Monitor changes to minimum coverage requirements, PIP mandates, and liability limits across all 50 states.
Extract criteria for safe driver, military, student, and multi-policy discounts to build competitive matrices.
Scrape the Auto Repair Xpress network to map affiliated body shops and their service capabilities.
Run systematic quote queries across targeted ZIP codes to build geographic price heatmaps.
Extract pricing variations when combining auto, home, and renters insurance policies in a single quote.
Maintain stateful Playwright sessions to handle Geico dynamic form validation and anti-automation checks.
Configure continuous pipelines at daily or weekly cadences to track rate adjustments and pricing tests.
Brief in. Clean data out.
Provide ZIP codes, vehicle profiles, and demographic parameters. We design the form automation sequence together.
We configure Playwright scripts, residential proxy rotation, and form-fill heuristics for geico.com.
Schema validation, null-rate checks, and quote accuracy verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Insurance quoting engines use strict rate-limiting and session fingerprinting. Here is how we maintain reliable extraction at scale.
Geico quotes require navigating multiple sequential screens. We use Playwright to simulate human typing, handle dynamic validation, and complete complex logic branches automatically.
Quoting engines block headless browsers. Our crawlers use residential US proxies with realistic TLS fingerprints, user agents, and randomised interaction delays.
Insurance rates are hyper-local. We route requests through state-specific and ZIP-specific residential IPs to ensure accurate geographic pricing.
Geico updates its form UI frequently. We use resilient fallback chains and visual testing to detect and heal broken selectors automatically.
High-volume quoting triggers IP bans. We distribute requests across thousands of IPs and manage concurrency limits strictly to stay under detection thresholds.
Actuaries and pricing teams run automated quotes against Geico to benchmark their own premiums across demographics.
Insurtech startups analyse state-by-state coverage offerings and agent density to plan geographic rollouts.
Data scientists correlate Geico ZIP-level pricing variations with public risk datasets to reverse-engineer rating factors.
Competitor carriers track Geico local agent footprint and office expansions to optimise their own retail presence.
Product managers monitor discount structures, multi-policy bundling rules, and coverage tiers to optimise product design.
Claims operators analyse the Auto Repair Xpress network to negotiate better terms with regional body shops.
"Insurance pricing is highly localised and deeply personalised. Extracting competitive intelligence requires automating complex quote flows at scale, not just scraping static pages."
Most teams fail at insurance scraping because quoting engines are designed to block automated form submissions. DataFlirt manages the residential proxies, Playwright session states, and multi-step form logic required to extract accurate rate data, so your actuaries can focus on pricing strategy rather than infrastructure.
Everything supported by our geico.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 flows, dynamic validation, and session state management required for insurance rating engines.
We maintain pools of residential US proxies with ZIP-level targeting to ensure accurate, localised pricing data without triggering bot protections.
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 geico.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information and generating generic rate quotes using non-PII dummy data is generally permissible. DataFlirt does not extract personal customer data, claims history, or use real SSNs/driver licenses. Clients should review Geico ToS and consult legal counsel for specific use cases.
We use Playwright to simulate human interaction, managing session state, cookies, and dynamic form validation across the 10+ screens required to generate a Geico quote.
Yes. We use ZIP-targeted residential proxies to ensure the quoting engine sees traffic originating from the correct geographic area, yielding accurate local rates.
No. We work with clients to define demographic profiles and use synthetic data to generate comparative benchmark quotes.
Pipelines can be configured to run daily or weekly across your target ZIP codes and demographic profiles, capturing rate adjustments as soon as they are pushed to production.
Yes. We can extract the complete directory of Geico local agents, including contact information, office hours, and exact geographic coordinates.
Our smallest packages start at a defined set of geographic and demographic profiles. Contact us with your specific requirements for a scoped quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily feed of competitive rate quotes across 50 states or a complete map of the local agent network - we scope, build, and operate the pipeline. Tell us what you need.
