We extract agent directories, branch locations, policy structures, and financial product data from Nationwide. 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 Agent Directory objects from nationwide.com. All fields typed and schema-versioned.
"agent_id": "NW-847291", "first_name": "Sarah", "last_name": "Jenkins", "agency_name": "Jenkins Insurance Group", "city": "Columbus", "state": "OH", "zip_code": "43215", "phone_number": "614-555-0192", "languages": "['English', 'Spanish']"
| # | agent_id | first_name | last_name | agency_name | street_address | city |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Branch Locations objects from nationwide.com. All fields typed and schema-versioned.
"branch_id": "BR-9921", "branch_name": "Nationwide Columbus Main", "city": "Columbus", "state": "OH", "latitude": 39.9675, "longitude": -83.0012, "services_offered": "['Auto', 'Home', 'Life', 'Commercial']", "agent_count": 14
| # | branch_id | branch_name | address_line_1 | address_line_2 | city | state |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Financial Products objects from nationwide.com. All fields typed and schema-versioned.
"ticker_symbol": "NWFAX", "fund_name": "Nationwide Fund Class A", "asset_class": "Large Blend", "nav_price": 24.56, "ytd_return_pct": 8.4, "expense_ratio": 0.95, "morningstar_rating": 4, "minimum_investment": 2000.0
| # | fund_id | fund_name | ticker_symbol | asset_class | nav_price | ytd_return_pct |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pet Insurance objects from nationwide.com. All fields typed and schema-versioned.
"plan_tier": "Major Medical", "species": "Dog", "annual_coverage_limit": 10000.0, "deductible_options": "[250, 500, 1000]", "reimbursement_pct_options": "[70, 80, 90]", "wellness_rider_available": true, "waiting_period_days": 14
| # | plan_id | plan_tier | species | annual_coverage_limit | deductible_options | reimbursement_pct_options |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Auto Coverage objects from nationwide.com. All fields typed and schema-versioned.
"coverage_name": "Comprehensive", "description": "Pays to repair or replace your vehicle if it is stolen or damaged in an incident that is not a collision.", "state_availability": "['OH', 'PA', 'MI', 'IN', 'IL']", "deductible_options": "[100, 250, 500, 1000]", "required_by_law": false, "discounts_applicable": "['Anti-Theft', 'Multi-Policy']"
| # | coverage_id | coverage_name | description | state_availability | default_limits | deductible_options |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Nationwide scraper maps the complex hierarchy of insurance products, financial instruments, and agent networks across state lines.
Map the entire Nationwide agent directory including contact details, licensing states, and specialty areas across all 50 states.
Extract branch coordinates, operating hours, and service capabilities to model physical footprint.
Track daily NAV prices, expense ratios, and historical returns for Nationwide Financial products.
Catalogue coverage types, limit options, and deductible tiers across different state regulatory environments.
Extract plan structures for Nationwide pet insurance, including reimbursement percentages and exclusion lists.
Map business liability, property, and workers compensation coverage details tailored by industry.
Traverse state and ZIP code selectors dynamically to capture regional product variations.
Structure state-specific legal disclaimers and coverage requirements attached to policy descriptions.
Run pipelines daily or weekly to track changes in agent rosters or mutual fund metrics.
Brief in. Clean data out.
Provide target datasets, state lists, or financial product categories. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and session management for nationwide.com.
Schema validation, null-rate checks, and location-outlier detection before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Insurance sites rely on heavy session state and regional gating. Here is how we maintain extraction reliability.
Nationwide alters product availability and descriptions based on user location. Our crawlers inject specific ZIP codes, manage the resulting session cookies, and isolate state-level data without cross-contamination.
Agent search directories and mutual fund performance charts are rendered client-side. We execute full Playwright browser sessions to hydrate these components before extraction.
Financial services enforce strict geo-fencing and rate limits. We route all requests through US-based residential ISP proxies to avoid datacenter IP bans and maintain uninterrupted access.
We use multiple fallback chains per field — CSS selectors, XPath, and text-pattern matching — ensuring layout updates to the Nationwide domain do not break the pipeline.
For the agent directory, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs, providing a clean changelog of agent movement rather than full re-dumps.
Insurance carriers monitor Nationwide's product structures, discount offerings, and coverage limits across different states.
Brokerages and financial institutions track agent directories to identify high-performing representatives for recruitment.
Analysts map branch density and agent distribution against demographic data to identify underserved regions.
Wealth management firms aggregate mutual fund performance, expense ratios, and asset allocations for comparative analysis.
Compliance teams review state-specific policy language and disclaimers to benchmark their own filings.
ML teams use structured policy data to train natural language models on insurance terminology and coverage hierarchies.
"Nationwide represents one of the largest mutual insurance networks in the US, but extracting state-level policy variations requires dynamic ZIP code traversal and session management."
Most teams underestimate the investment required: reliable Nationwide scraping requires residential proxies, full JavaScript rendering for dynamic directories, daily selector maintenance, and anomaly monitoring. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our nationwide.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.
Scrapy handles crawl orchestration and retry logic. Playwright manages JavaScript rendering and stateful ZIP code sessions. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across the US. Rotation happens per-request with sticky sessions required for regional data consistency.
Pipelines run on AWS Lambda and ECS. 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 nationwide.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Nationwide is generally permissible under US law. DataFlirt targets only public, non-authenticated agent directories, branch locations, and generic policy structures. We do not extract personal data, circumvent authentication walls, or generate quotes requiring PII.
We configure our crawlers to inject specific ZIP codes into the session state. We maintain a master list of target ZIP codes and iterate through them, isolating the session cookies for each request to ensure accurate regional data mapping.
Yes. We can configure daily pipelines to extract NAV prices, yields, and performance metrics from the Nationwide Financial section, delivering the data shortly after market close.
Agent directories can be refreshed weekly or monthly depending on your requirements. We use change detection to deliver only the records that have updated, added, or removed agents.
No. Nationwide requires extensive personal information (SSN, VIN, driving history) to generate a final premium quote. We only extract the structural details of policies, coverage limits, and generic base rates where publicly listed.
Yes. We provide a sample run of up to 100 agent records or a specific state's policy structure as part of the pre-engagement scoping process to validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a full agent directory dump or continuous financial product tracking — we scope, build, and operate the pipeline. Tell us what you need.
