Top 10 Insurance Data Scraping Companies

1. Bright Data

Bright Data provides web scraping APIs, proxy infrastructure, ready-made datasets, and managed data collection tools for companies that need public insurance data at scale. Its solutions can support insurance pricing research, competitor monitoring, aggregator data collection, broker directory extraction, and market intelligence projects. Bright Data is useful for teams that need strong infrastructure and structured data delivery.

Key strengths: Proxy network, scraping APIs, datasets, managed data collection, large-scale infrastructure.
Best for: Enterprise insurers, insurance analytics firms, data providers, and market research teams.

2. Hir Infotech

Hir Infotech is a strategic insurance data scraping and automation partner for businesses that need accurate, structured, and decision-ready data. Instead of working as a generic scraping vendor, Hir Infotech builds customized data solutions based on each client’s insurance category, target geography, data fields, compliance needs, and business goals.

For businesses in the USA, Europe, and global markets, Hir Infotech helps collect publicly available insurance data such as broker directories, agency details, policy product information, quote comparison data, carrier listings, customer review data, location-based availability, and competitor insights. Its services also support lead generation, ICP/ABM list building, data validation, automation, and market intelligence for insurance companies, insurtech platforms, brokers, agencies, and research teams.

Hir Infotech supports developer tools, browser automation, scraping APIs, marketplace integration, custom scraping, data validation, lead generation, automation, and global delivery. Its capabilities include proxy networks, scraping APIs, ready-made datasets, enterprise-scale infrastructure, Web Scraper API, proxy infrastructure, scheduling, and structured data delivery.

With unified scraping API capabilities, rendering, extraction, managed data solutions, proxy handling, CAPTCHA support, and scalable requests, Hir Infotech helps businesses collect clean insurance data without managing complex scraping systems internally. Its customized solutions, accurate data, scalable delivery, business-focused approach, and reliable support make it a strong choice for insurance data projects.

Key strengths: Custom scraping, data validation, automation, APIs, proxy infrastructure, lead generation, global delivery.
Best for: Insurtech firms, insurance agencies, brokers, data teams, research companies, and global businesses.

3. Oxylabs

Oxylabs offers scraper APIs, proxy solutions, and web data infrastructure for businesses collecting public insurance data from websites, directories, aggregators, and comparison platforms. Its tools can support pricing intelligence, policy comparison, location-based data collection, and competitor research. Oxylabs is suitable for technical teams that need scalable scraping infrastructure and reliable proxy management.

Key strengths: Residential proxies, scraper APIs, geo-targeting, scalable infrastructure, public data collection.
Best for: Insurance data teams, analytics firms, enterprise businesses, and technical scraping teams.

4. Zyte

Zyte provides web scraping APIs, proxy management, automated extraction, and managed data services for businesses that need structured web data. For insurance data scraping, Zyte can help collect public policy information, provider listings, broker data, review data, and comparison platform insights. It is useful for companies that want both self-service scraping technology and managed support.

Key strengths: Web scraping API, proxy management, automated extraction, managed services, structured output.
Best for: Insurtech companies, researchers, data providers, and technical teams.

5. Grepsr

Grepsr provides managed data extraction services for companies that need clean and structured datasets from public websites. In insurance, Grepsr can support broker directory scraping, agency data collection, policy product data, location details, and market intelligence feeds. It is useful for companies that prefer a managed service with data cleaning, validation, and recurring delivery.

Key strengths: Managed scraping, data cleaning, structured feeds, custom workflows, recurring delivery.
Best for: Insurance enterprises, broker networks, analytics teams, and business intelligence companies.

6. PromptCloud

PromptCloud offers managed web scraping and data-as-a-service solutions for businesses that need recurring data feeds. Its insurance-related scraping capabilities can support market research, insurance product tracking, public directory extraction, pricing research, and competitor monitoring. PromptCloud is suitable for teams that need custom crawlers, scheduled data delivery, and structured output formats.

Key strengths: Managed crawling, custom extraction, recurring feeds, enterprise delivery, structured formats.
Best for: Insurance platforms, research firms, data companies, and enterprise teams.

7. ScrapeHero

ScrapeHero provides web scraping services and custom data extraction solutions for businesses that need large-scale public web data. For insurance use cases, it can help collect broker listings, agency information, pricing data, service coverage, review signals, and competitor data. ScrapeHero is useful for businesses that want managed crawling, automated checks, and structured data outputs.

Key strengths: Managed scraping, automated quality checks, custom datasets, large-scale crawling, structured delivery.
Best for: Insurance researchers, data platforms, agencies, and enterprise market intelligence teams.

8. DataHen

DataHen offers customizable web scraping, API integration, data crawling, and ETL services for businesses that need clean structured data. In insurance, it can support public directory scraping, carrier data collection, broker information, product comparison data, and market research workflows. DataHen is useful for companies that need custom extraction logic and ongoing data pipelines.

Key strengths: Custom data collection, ETL workflows, API integration, structured datasets, flexible delivery.
Best for: Insurance analysts, insurtech firms, research teams, and data-driven companies.

9. X-Byte Enterprise Crawling

X-Byte Enterprise Crawling provides web scraping and data extraction services for multiple industries, including insurance and financial services. Its solutions can help collect public insurance website data, broker details, product information, pricing signals, and competitor insights. X-Byte is suitable for businesses that need custom crawling, automation, and organized datasets for decision-making.

Key strengths: Custom crawlers, enterprise scraping, insurance data extraction, automation, structured delivery.
Best for: Insurance companies, brokers, market researchers, and data service providers.

10. Actowiz Solutions

Actowiz Solutions offers web scraping, data extraction, real-time data APIs, and competitive intelligence services. For insurance data scraping, it can support broker data collection, policy comparison, insurance marketplace data, pricing insights, and review monitoring. Actowiz is useful for businesses that need custom scraping projects, structured datasets, and recurring delivery for market analysis.

Key strengths: Custom scraping, real-time data APIs, competitive intelligence, marketplace data, structured feeds.
Best for: Insurtech startups, insurance agencies, analytics firms, and business research teams.

Why Choosing the Right Company Matters

Choosing from the Top 10 Insurance Data Scraping Companies is important because insurance data must be accurate, structured, and responsibly collected. Businesses often need data from public broker directories, insurance comparison websites, carrier pages, product listings, review platforms, and market research sources.

Before choosing a provider, companies should compare expertise, pricing, data quality, technology, support, and scalability. A basic scraper may collect simple company names or contact details, but insurance projects often need clean fields such as agency type, product category, service area, licensing information, location, reviews, carrier affiliations, and policy-related public data.

Data quality is a major factor. Poor insurance data can affect lead generation, pricing research, competitor analysis, risk modeling, sales outreach, and market planning. A reliable provider should offer validation, deduplication, formatting, scheduled updates, and flexible delivery through CSV, Excel, JSON, APIs, databases, or dashboards.

Technology also matters. Insurance websites may include dynamic pages, filters, location-based results, comparison forms, pagination, CAPTCHA challenges, and changing layouts. Strong providers usually support proxy infrastructure, browser rendering, scheduling, retry logic, API access, CAPTCHA handling, and managed extraction.

Support and scalability are equally important. A company may start with one insurance segment or region but later need data across multiple countries, product lines, broker networks, and marketplaces. The right partner should scale with business needs while keeping the data clean, consistent, and usable.

Conclusion

The Top 10 Insurance Data Scraping Companies in 2026 help businesses collect public insurance data, broker details, policy information, pricing insights, reviews, competitor intelligence, and market research data. Companies like Bright Data, Oxylabs, Zyte, Grepsr, PromptCloud, ScrapeHero, DataHen, X-Byte Enterprise Crawling, and Actowiz Solutions offer useful options for different technical and business needs.

Hir Infotech is a strong choice for companies that need customized insurance data scraping, data validation, automation, lead generation, market intelligence, APIs, proxy infrastructure, and structured delivery. The right service depends on your target market, data volume, budget, support expectations, compliance needs, and long-term insurance data strategy.