Helodata

Helodata is proxy infrastructure for teams working with large volumes of public web data, automation, market research, e-commerce, SEO monitoring, and AI-related tasks. The platform is built for businesses, developers, and research teams that need stable access to network resources across different countries and work scenarios.

According to the service, the platform provides access to 80M+ ethically sourced residential IPs and operates in 195 countries. Residential, ISP, mobile, unlimited, and datacenter proxy solutions are available separately, so teams can choose network infrastructure for data collection, ad verification, local research, AI processes, or large-scale automated tasks.

The service focuses not only on the number of IPs, but also on practical work: standard HTTP and SOCKS5, compatibility with popular tools, a dashboard with live statistics, per-request logs, proxy rotation, and free trial access. This makes the solution practical for teams that want to focus on data and automation rather than constant manual setup of the network layer.

Proxy infrastructure for data collection and business processes

The platform is well suited for tasks where working with different IP types and adapting network logic to a specific scenario matters. Residential proxies are useful for public web data collection, market analysis, and localized checks. ISP proxies can be relevant when a more stable network identity is required. Mobile IPs fit scenarios where mobile network behavior matters, while datacenter solutions can be used for high-performance technical processes and large request volumes.

The platform states support for a large number of concurrent sessions, high request success rates, and work with different locations at the country, city, state, ZIP, and ASN levels. For teams scaling projects, this matters not as a standalone number, but as a way to build stable workflows without constantly changing infrastructure.

Integrations for developers and automation teams

Helodata is compatible with a wide set of tools already used in real work: n8n, LangChain, LlamaIndex, Scrapy, Playwright, Puppeteer, Selenium, Browserless, Apify, BeautifulSoup, and other data collection and automation solutions. Thanks to standard HTTP and SOCKS5, the service does not lock a team into one narrow stack and allows proxies to be quickly connected to existing scripts, services, and internal systems.

For technical teams, automation with Playwright, Puppeteer, and Selenium is also relevant, since the proxy layer often becomes critical for the stability of such scenarios. If a project works with page rendering, browser checks, or multi-step actions, compatibility with popular tools makes launch and maintenance much easier.

The dashboard shows usage, request success rate, and logs for individual requests. For teams working with large data volumes, this helps identify problematic requests faster, evaluate connection quality, and control load without reporting delays.

Stable public data collection and request control

For teams working with public web data at scale, IPs are not the only important factor. The infrastructure also needs to operate consistently under complex technical conditions. The service mentions CAPTCHA, JS rendering, Unlock API, and scenarios where sources may use protection systems such as Cloudflare, Datadome, or PerimeterX.

This makes stable data collection from websites with anti-bot protection a relevant topic for this partner. The point is not an aggressive approach, but helping a team collect public data more consistently, control rotation, correctly process pages with JavaScript or CAPTCHA, and spend less time manually handling request errors.

AI data, RAG, and work with AI agents

One of Helodata’s noticeable strengths is its strong focus on AI. The platform positions itself as infrastructure for AI data collection, training datasets, RAG processes, and AI agents working with the open web. For these tasks, having proxies is not enough. Teams also need stable, scalable, and manageable access to data sources.

In this context, it is useful to look at AI training data, since high-quality collection and updating of public data is the foundation of many modern AI projects. If a team is building RAG processes, indexing sources, preparing data corpora, or launching AI agents, this infrastructure can become a logical part of the overall stack.

Practical use cases

The service should be viewed as a tool for several areas of work, not just one scenario. Below is a short overview of where this infrastructure can be most relevant.

How Helodata complements Afina Browser

For Afina Browser users, this platform fits well with tasks that require separate browser profiles, automation, public data collection, and work with different geographic scenarios. Afina handles profiles, cookies, browser fingerprints, action scenarios, and workspace organization.

In this setup, Helodata covers the network layer: IP types, rotation, regional configuration, request stability, and work with large data volumes. This division of roles is convenient for teams that want to scale data collection, automation, or AI processes without mixing profiles and network parameters.

For scenarios related to public web data collection and data research, it is logical to combine this infrastructure with approaches such as public web data collection in Afina. If a team works with AI agents or builds agent-based scenarios on top of a browser environment, Afina MCP Server for AI agents can be a useful addition. In this model, one part of the stack covers profiles and automation, while the other covers web access and network scalability.

Security, ethics, and access control

It is also worth highlighting the section on ethics and compliance. According to the platform, the service uses an opt-in model for its peer network, conducts KYC for accounts, maintains a published Acceptable Use Policy, uses TLS 1.3 for data transmission and AES-256 for storage, and states log minimization with automatic log expiry.

For businesses and technical teams, this matters no less than the IPs themselves. If proxy infrastructure is used in long-running processes, AI projects, or large-scale data collection, transparent access rules, clear ethics, and a predictable security policy reduce operational risks.

Pricing approach and trial start

Helodata offers several payment approaches: trial start, standard monthly plans, and usage-based models depending on the product. This allows a team to begin with a small scenario, check compatibility with its stack, and then scale the infrastructure for real workloads.

For teams that first want to check speed, compatibility, and connection quality, free trial access without a bank card is especially useful. This approach makes it possible to evaluate how well the service fits specific tasks before moving to full use.

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