
What is Surf.new?
Surf.new is a playground for testing web agents that navigate the internet and interact with websites as humans would. It finds flight deals, summarizes news stories, and checks trade-in values to help researchers, data analysts, and online shoppers make informed decisions without manual browsing.
What sets Surf.new apart?
Surf.new sets itself apart with its human-like web interaction system that lets developers test how automated agents handle real-world websites without writing code. This approach is especially helpful for programmers and UX researchers who want to study how digital assistants navigate web forms and multi-step processes. The tool's ability to mimic human browsing patterns gives teams insight into how AI can tackle complicated web scenarios that typically require human judgment.
Surf.new Use Cases
- Compare prices across websites
- Summarize web content
- Extract specific information
- Automate repetitive web tasks
- Research and collect data
Who uses Surf.new?
Features and Benefits
- Experiment with AI agents that navigate websites and interact with web pages similar to human browsing patterns.
Web Agent Testing
- Direct web agents to search and compare prices across multiple websites, saving time on manual research.
Price Comparison
- Gather and summarize specific content from websites to quickly access relevant information.
Information Collection
- Research detailed product information like trade-in values or specifications without manual navigation.
Product Investigation
- Test how AI agents handle typical browsing tasks through a practical playground environment.
Human-like Web Interaction
Surf.new Pros and Cons
Offers rewards for everyday browsing activity
Initially provides valuable Amazon gift cards to some users
Simple concept of getting compensated for browsing data
Free to use with no upfront costs
Valuable rewards become unavailable or perpetually 'sold out'
Collects user browsing data with diminishing compensation over time
Users report being banned without clear justification
Primarily offers low-value or off-brand discounts after initial period
Multiple users describe it as a bait and switch tactic
Concerns about legitimacy and fake positive reviews
Pricing
Web agent playground