SYSTEM all green source travelers.com queue 12,408 pages p99 latency 215ms dataflirt.com · scraper/travelers-com
RUN . 42 active pipelines . travelers.com live

Travelers data,
at warehouse scale.

We extract agent directories, branch locations, coverage matrices, and risk assessment literature from Travelers. Delivered as clean JSON, CSV, or Parquet to your infrastructure.

Agents extracted
34.2K /run
Locations mapped
8.4K /run
Coverage rules
1.2K /day
Active pipelines
42
Uptime
99.94%
Data Dictionary

Every field we extract from travelers.com

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 travelers.com. All fields typed and schema-versioned.

agent_idnameagency_nameaddresscitystatezip_codephoneemaillanguagesproducts_soldlicense_numberlatitudelongitude
agent_directory
● 200 OK
"agent_id": "TRV-849201",
"name": "Sarah Jenkins",
"agency_name": "Jenkins Insurance Group",
"city": "Hartford",
"state": "CT",
"zip_code": "06103",
"phone": "860-555-0192",
"products_sold": "['Auto', 'Home', 'Business']"
# agent_idnameagency_nameaddresscitystate
1
2
3

Complete list of extractable fields for Branch Offices objects from travelers.com. All fields typed and schema-versioned.

office_idtypeaddresscitystatezip_codephonefaxhoursservices_offeredlatitudelongitude
branch_offices
● 200 OK
"office_id": "BR-492",
"type": "Claims Center",
"city": "Atlanta",
"state": "GA",
"zip_code": "30303",
"phone": "404-555-8821",
"hours": "Mon-Fri 8:00 AM - 5:00 PM",
"services_offered": "['Auto Claims', 'Property Inspection']"
# office_idtypeaddresscitystatezip_code
1
2
3

Complete list of extractable fields for Coverage Products objects from travelers.com. All fields typed and schema-versioned.

product_idcategorysub_categorynamedescriptionstate_availabilitybase_coverageoptional_add_onsexclusionsdocument_urls
coverage_products
● 200 OK
"product_id": "BIZ-CYBER-01",
"category": "Business Insurance",
"sub_category": "Cyber Liability",
"name": "CyberRisk",
"state_availability": "['NY', 'CA', 'TX', 'CT', 'IL']",
"base_coverage": "['Data Breach Response', 'Extortion']",
"optional_add_ons": "['Social Engineering Fraud']",
"document_urls": "['https://travelers.com/pdf/cyberrisk-overview.pdf']"
# product_idcategorysub_categorynamedescriptionstate_availability
1
2
3

Complete list of extractable fields for Risk Assessment objects from travelers.com. All fields typed and schema-versioned.

article_idtitlecategoryindustrypublish_dateauthorbody_textpdf_urltagsrelated_products
risk_assessment
● 200 OK
"article_id": "RA-9921",
"title": "Preventing Water Damage in Commercial Real Estate",
"industry": "Real Estate",
"publish_date": "2025-09-14",
"tags": "['Property Maintenance', 'Water Mitigation']",
"pdf_url": "https://travelers.com/pdf/water-damage-commercial.pdf",
"related_products": "['Commercial Property Insurance']"
# article_idtitlecategoryindustrypublish_dateauthor
1
2
3

Complete list of extractable fields for Quote Schemas objects from travelers.com. All fields typed and schema-versioned.

form_idproduct_typestatefield_namefield_typerequiredoptionsvalidation_rulesdefault_valuetooltip_text
quote_schemas
● 200 OK
"form_id": "QT-AUTO-CT",
"product_type": "Auto",
"state": "CT",
"field_name": "annual_mileage",
"field_type": "select",
"required": true,
"options": "['0-5000', '5001-10000', '10001-15000', '15000+']"
# form_idproduct_typestatefield_namefield_typerequired
1
2
3

Capabilities

Extract the complete distribution and product matrix

Insurance carriers fragment public data across geographic boundaries and dynamic forms. Our pipeline traverses these barriers to deliver a normalised catalogue of agents, offices, and coverage rules.

Agent Directory Extraction

Map the entire independent agency distribution network. We iterate through all US zip codes to extract agency names, contact details, and appointed product lines.

Branch and Claims Offices

Extract corporate locations, regional claims centres, and specialised inspection facilities across all 50 states.

Product Coverage Matrices

Capture base coverages, optional endorsements, and exclusions for auto, home, and commercial lines of business.

State-by-State Variations

Insurance is regulated at the state level. We manage geographic session state to extract policy differences across regulatory jurisdictions.

PDF Document Parsing

Automatically download and extract text from policy summaries, risk control guides, and financial disclosure PDFs.

Risk Control Resources

Scrape the complete library of industry-specific risk assessment articles, safety checklists, and mitigation guides.

Quote Engine Mapping

Traverse public quoting funnels to document form schemas, validation rules, and available coverage limits without submitting PII.

Change Detection

Monitor agent onboarding, office closures, and product availability changes. Receive only the diffs on subsequent runs.

Financial Disclosures

Extract publicly filed statutory statements, investor presentations, and press releases for competitive intelligence.

// engagement pipeline

From target selection to structured delivery

Brief in. Clean data out.

Define Scope
d 0

Specify the target datasets: agent directories, specific commercial product lines, or risk control literature.

Pipeline Build
d 2–4

We configure Scrapy and Playwright crawlers, proxy rotation, and geographic session management.

Validation & QA
d 4–6

Schema validation, null-rate checks, and geographic coverage verification before full launch.

Delivery
ongoing

JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.

Under the hood

Navigating insurance data extraction

Extracting data from Travelers requires handling geographic fragmentation and anti-bot systems. Here is how we maintain pipeline stability.

pipeline-monitor · travelers.com · live ● active
// fingerprinting
Identity rotation
TLS fingerprintrandomised
User-agentrotated
IP poolresidential
Challenges blocked0
// pagination
Page coverage
48,291 pages queued running
// observability
Pipeline health
99.9%
uptime
142ms
p99 lat
0.3%
null rate
2
alerts
Geographic routing
State-level proxy targeting

Travelers serves different content based on visitor location. We route requests through state-specific residential proxies to accurately capture regional coverage options and agent directories.

Directory traversal
Comprehensive zip code iteration

Agent locators restrict results to a small radius. Our pipeline systematically queries a proprietary database of all US zip codes and coordinates to ensure zero blind spots in the distribution network.

Session management
Handling multi-step forms

Accessing detailed product matrices often requires navigating multi-step funnels. We use Playwright to maintain cookie state and execute JavaScript, simulating legitimate user flow.

Document extraction
Automated PDF processing

Much of the valuable actuarial and risk data is locked in PDFs. We automate the downloading, OCR processing, and text extraction of these documents into structured text fields.

Bot mitigation
Evading WAF blocks

Insurance sites employ strict Web Application Firewalls. We use TLS fingerprint spoofing and randomised request timing to prevent IP bans and CAPTCHA loops.

Applications

Who uses Travelers data

Teams across industries use travelers.com data to build competitive products and smarter operations.

01
Competitor Analysis

Rival carriers map the Travelers agent distribution network to identify underserved regions and recruit top-performing independent agencies.

02
Insurtech Aggregation

Digital brokers and comparison platforms ingest coverage rules and available limits to build accurate product recommendation engines.

03
Actuarial Research

Actuaries analyse public risk control guidelines and coverage exclusions to benchmark their own underwriting models.

04
Market Expansion

Strategy teams track state-by-state product rollouts to anticipate competitor movements in new jurisdictions.

05
Regulatory Compliance

Compliance officers monitor public policy document updates to ensure their own filings remain competitive and compliant.

06
Investment Intelligence

Hedge funds track branch expansions and agent network growth as leading indicators of quarterly premium growth.

Why DataFlirt

"Travelers maintains one of the most extensive agent networks and coverage matrices in the US market. Querying this data requires navigating complex state-by-state routing and dynamic form schemas."

Insurance carriers deliberately fragment their public data across zip codes and state lines. Extracting accurate distribution networks and product matrices requires full session management, geographic proxy routing, and dynamic form traversal. DataFlirt handles this infrastructure so your actuarial and strategy teams can focus on analysis.

Technical Spec

Travelers scraper technical specifications

Everything supported by our travelers.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.

JavaScript rendering
Playwright sessions for dynamic agent locators and interactive coverage maps
Supported
Geographic proxy routing
State and city-level residential IPs to bypass regional content gating
Supported
Zip code iteration
Automated querying across 41,000+ US zip codes for complete directory mapping
Supported
PDF extraction
Download and parse text from policy documents and risk control guides
Supported
Change detection
Hash-based diffing to track new agents and modified coverage rules
Supported
Multi-step form traversal
Automated navigation of quote funnels to extract schema requirements
Supported
CAPTCHA bypass
Automated solving of WAF challenges using 2Captcha and CapSolver
Supported
Webhook delivery
Real-time HTTP POST alerts for specific product changes
Supported
Policyholder portal data
Individual claims history, billing details, and active policy documents
Partial
PII-based exact quotes
Generating actual premium quotes requiring social security numbers or credit checks
Partial
Infrastructure

Infrastructure powering the Travelers pipeline

Open-source tooling on proven cloud infra — no vendor lock-in, full observability.

ScrapyPlaywrightPython 3.12RedisPostgreSQLApache AirflowAWS LambdaS3CloudWatch2CaptchaCapSolverResidential ProxiesDockerKubernetesGrafanaPrometheus
Scrapy + Playwright Stack

Scrapy handles the broad crawl orchestration while Playwright manages the heavy JavaScript execution required for agent locators and interactive quote forms.

Geographic Proxy Infrastructure

We route requests through specific US states and municipalities using residential ISP proxies to ensure accurate regional data extraction.

Cloud-Native Orchestration

Airflow schedules the complex zip-code iteration tasks across Kubernetes clusters, ensuring complete coverage without overloading the target servers.

Output & Delivery

Your data, your destination

Data delivered to where your team already works — no new tooling required.

JSON
Nested structures ideal for complex coverage matrices
CSV
Flat files for agent directories and location mapping
XLS
Excel compatible exports for business analysts
Parquet
Columnar format for fast analytics querying
AWS S3
Direct delivery to your cloud storage buckets
Webhook
Real-time HTTP POST delivery per extracted record
API
REST endpoints to query your extracted datasets
Snowflake
Direct ingestion into your data warehouse
BigQuery
Streamed directly into Google Cloud analytics
S3
Direct bucket delivery — compatible with any data lake
// faq

Common questions.

About travelers.com scraping, legality, and pipeline operations.

Ask us directly →
Is scraping Travelers legal?

Scraping publicly available information, such as agent directories and marketing materials, is generally permissible. DataFlirt extracts only public, non-authenticated data. We do not bypass login screens, extract personal policyholder data, or submit fraudulent PII to quote engines.

How do you map the entire agent directory?

Travelers restricts agent searches to local radii. We maintain a database of all US zip codes and programmatically query the locator tool across the entire country, deduplicating the results to build a complete national directory.

Can you extract state-specific coverage details?

Yes. We use state-targeted residential proxies and manage session cookies to simulate users from specific jurisdictions, capturing the exact coverage rules and exclusions applicable to that state.

Do you extract data from PDF documents?

Yes. When our crawlers encounter policy summaries or risk control guides in PDF format, we download the file and use OCR and text extraction libraries to convert the contents into structured JSON fields.

Can you generate actual insurance quotes?

No. Generating real quotes requires submitting sensitive Personally Identifiable Information and triggering credit checks. We only map the structure of the quote forms and extract public base rates where available.

How frequently can the data be updated?

Agent directories and location data are typically refreshed weekly or monthly. We can configure the pipeline cadence to match your specific business requirements.

Can I request a sample dataset?

Yes. We provide a sample run covering a specific state or product line during the scoping phase, allowing you to validate the schema and data quality before committing to a contract.

$ dataflirt scope --new-project --source=travelers.com ready

Tell us what
to extract.
We do the rest.

20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a full extraction of the independent agent network or a continuous monitor of state coverage rules, we build and operate the infrastructure. Tell us what you need.

hello@dataflirt.com · Bengaluru · IST · typical reply < 4h
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