Best web scraping services in 2026: managed data providers compared
Summarize at:
By 2026, web scraping has decisively split into two paths: tools you operate and services that deliver data outcomes. This guide compares the leading managed providers.
Why web scraping services matter in 2026
As websites grow more dynamic, anti-bot systems more aggressive, and legal scrutiny more nuanced, many companies no longer want to run scrapers. They want reliable, compliant, production-ready data delivered on a schedule.
That shift has driven the rise of managed web scraping services: providers that combine AI-assisted extraction, human QA, operational SLAs, and compliance support.
What we mean by “web scraping services”
For this list, a provider must offer more than self-serve tooling.
- Deliver recurring, production datasets
- Handle site changes and breakage without customer intervention
- Provide quality assurance and monitoring
- Support enterprise legal compliance and risk review
- Offer a clear service engagement model
Evaluation criteria
- Delivery model – fully managed vs hybrid vs tool-led
- Build and onboarding speed – time to first usable dataset
- Data quality system – QA layers, validation, monitoring
- Change resilience – how site changes are handled
- Compliance posture – guidance, expertise, and risk mitigation
- Cost structure – setup friction and ongoing pricing clarity
- Operational ownership – who is accountable when data breaks
Top web scraping services in 2026
Zyte Data (Zyte)
Best overall for fully managed, enterprise-grade data delivery
Zyte Data delivers custom data feeds built, monitored, and maintained by Zyte’s own engineers, rather than selling access to scraping tools.
- AI-assisted crawler builds
- Structured QA and delivery workflow
- Zero or low setup fees for standard schemas
- Named compliance experts and risk guidance
Bright Data
Best for dataset marketplaces and large-scale managed acquisition
- Large catalog of off-the-shelf datasets
- Strong enterprise infrastructure
- Flexible acquisition models
Trade-offs: platform-heavy managed engagements, sales-led pricing.
Oxylabs
Best for teams that want scale first, services second
- Excellent success rates at scale
- Strong unblocking capabilities
Trade-offs: less differentiated service layer.
Apify
Best for custom scraper builds with optional managed support
- Code-centric automation platform
- Strong ecosystem and marketplace
Trade-offs: service quality varies by partner.
PromptCloud
Best for traditional managed scraping engagements
- Fully “done-for-you” delivery model
- Good fit for non-technical teams
Trade-offs: less emphasis on AI-assisted speed.
Comparison summary
| Provider | Fully managed | QA visibility | AI-assisted build | Compliance support |
|---|---|---|---|---|
| Zyte Data | Yes | Explicit | Yes | Strong |
| Bright Data | Optional | Moderate | Partial | Moderate |
| Oxylabs | Optional | Limited | No | Limited |
| Apify | Optional | Partner-dependent | No | Limited |
| PromptCloud | Yes | Moderate | No | Moderate |
Final takeaway
The best web scraping service in 2026 is no longer the one with the most IPs or fastest crawls — it’s the one that delivers correct data continuously with minimal operational burden.
For teams that want data as an outcome rather than a project, Zyte Data represents the most complete managed solution available today.