G2

Gabriele u.

ceo

Small-Business (50 or fewer emp.)

9/11/2026

Business partner of the seller or seller's competitor, not included in G2 scores.

"WOW service"

5/5

What do you like best about Quantic Data?

What I like most about Quantic Data is that it brings together a powerful proxy network and advanced web scraping/data extraction APIs in a single platform. The mix of residential, mobile, ISP, and datacenter proxies gives me a lot of flexibility, and the SERP APIs, scraping tools, and MCP integrations make it much easier to automate workflows. I also see the pay-per-success pricing as a major advantage, since failed requests aren’t billed. Overall, it feels like a flexible, developer-friendly solution for collecting web data at scale. Review collected by and hosted on G2.com.

What do you dislike about Quantic Data?

One area that could be improved is the learning curve for some of the more advanced features, especially for users who are new to proxies and web scraping APIs. More step-by-step tutorials and practical integration examples would make onboarding even easier. However, the platform offers a wide range of powerful tools, and the overall experience is positive. Review collected by and hosted on G2.com.

What problems is Quantic Data solving and how is that benefiting you?

Quantic Data solves the challenges of collecting reliable web data at scale, managing proxies, and handling website restrictions. By combining residential, mobile, ISP, and datacenter proxies with powerful scraping APIs, SERP APIs, and MCP integrations, it simplifies complex data extraction workflows. This helps reduce manual work, automate repetitive tasks, and save development time. The pay-per-success pricing model also helps optimize costs by ensuring failed requests aren't billed. Overall, it makes web data collection more efficient, scalable, and accessible for developers and AI-powered applications. Review collected by and hosted on G2.com.