TLDR
Match the tool to where your agent spends time. If it mostly reads pages, a scraping or extraction layer (Firecrawl, Browserless) covers you; if it clicks, types, and logs in, prioritize a headless browser runtime with stealth and session persistence (Browserbase, Steel). Weigh proxy quality and anti-bot handling separately, since those are often the real bottleneck.
Teams building autonomous agents that browse, fill forms, and extract live web data at scale without maintaining their own headless browser fleet.
AI agents that act on the web need more than an LLM. They need a browser that renders JavaScript, survives anti-bot checks, holds a logged-in session, and returns clean, structured data the model can reason over. That stack is what people mean by web infrastructure for AI agents.
The category splits into a few layers: browser runtimes (hosted Chrome you drive via Playwright or CDP), extraction APIs that turn pages into markdown or JSON, and proxy networks that keep requests from getting blocked. Some vendors do one layer well; others try to cover all three.
When comparing options, look at real-world success rates on sites you actually target, how sessions and auth state persist across steps, and how predictable costs get as volume grows. A tool that works in a demo can fall over on a login wall or a Cloudflare challenge.
Web Infrastructure For AI Agents Tools compared
Filter by what you care about. Every tool stays on the page.
| Tool | Price | Browser Automation | Proxy & IP Rotation | CAPTCHA Handling | Structured Data Output | Session Management | API & SDK Support |
|---|---|---|---|---|---|---|---|
| TinyFish | Free | Yes | Limited | Limited | Yes | Yes | Yes |
| Cerver | $0 | No | No | No | Yes | Yes | Yes |
| Browserbase | From $20/mo | Yes | Yes | Yes | Yes | Yes | Yes |
| Bright Data | From $1.27/1k | Yes | Yes | Yes | Yes | Limited | Yes |
| Firecrawl | From $16/mo | Limited | Yes | Limited | Yes | Limited | Yes |
| Browserless | From $200/mo | Yes | Yes | Yes | Limited | Yes | Yes |
| Apify | From $39/mo | Yes | Yes | Yes | Yes | Yes | Yes |
| Steel | From $250/mo | Yes | Yes | Limited | Limited | Yes | Yes |
| ScrapingBee | From $49/mo | Limited | Yes | Yes | Yes | No | Yes |
| Zyte | From $0.06/1k | Yes | Yes | Yes | Yes | Limited | Yes |
| Oxylabs | From $30/mo | Yes | Yes | Yes | Yes | Limited | Yes |
| ScraperAPI | From $49/mo | Limited | Yes | Yes | Yes | No | Yes |
| Hyperbrowser | From $30/mo | Yes | Yes | Yes | Yes | Yes | Yes |
| Multion | Custom | Yes | No | No | Limited | Yes | Limited |
| Anchor Browser | From $20/mo | Yes | Yes | Limited | Limited | Yes | Yes |
Highlighted rows are featured placements. Competitor details are set by each platform, so confirm on their site before buying.
The 15 best web infrastructure for ai agents tools
TinyFish brings together the main things an AI agent needs to work with the live web: a Search API for current results, a Fetch API for clean structured content, a Browser API for dynamic sites, and a Web Agent API for authenticated workflows. Everything runs behind a single API key, and there is MCP integration for connecting agents directly. The goal is to cut the operational overhead of stitching together separate tools for each web task.
Pros
- Search, fetch, browse, and agent automation under one API key
- Returns clean structured content for AI consumption
- MCP integration for direct agent connections
- Handles authenticated web workflows at scale
Cons
- Newer platform with a smaller track record
- Breadth of APIs can be more than simple use cases need
Best for: Teams that want one platform for agent web search, extraction, and authenticated automation.
Cerver manages AI agent sessions and gives you unified control over transcripts, models, and compute. You can run agents on any compute provider, switch models mid-session without losing context, and route each task to the model that fits it to manage cost. You can start with hosted sessions right away or connect your own machines to use existing Claude Max or ChatGPT subscriptions.
Pros
- Switch models mid-session without losing context
- Run on hosted compute or bring your own machines
- Model routing policies to control cost per task
- Session visibility and spending controls built in
Cons
- Focused on session orchestration, not web access itself
- Newer product still building out its ecosystem
Best for: Teams running multi-model agent sessions who want control over compute and spend.
Browserbase
From $20/moBrowserbase gives agents cloud browsers to use the web, plus managed browser agents you can scale with prompts. It bundles search, fetch, a sandboxed runtime, identity and authentication, model access through one key, and observability tools like replays and logs. Its open-source Stagehand framework is widely used for AI browser automation.
Pros
- Cloud browsers plus managed agents
- Stagehand framework for AI automation
- Observability with replays, logs, and prompts
- Identity and auth for human-like navigation
Cons
- Costs climb with heavy concurrent browser use
- Browser-centric rather than a pure data API
Best for: Developers building agents that log in and operate across web portals.
Bright Data
From $1.27/1kBright Data runs one of the largest proxy networks, with 400M+ residential IPs alongside ISP and datacenter proxies. On top of that sit its Unlocker API, SERP API, Browser API, Scraper APIs for 1200+ sites, and pre-collected datasets. It is a deep toolkit for teams that need reliable access at scale and are willing to work through its many products.
Pros
- Very large residential and ISP proxy pools
- Unlocker and SERP APIs handle blocks and search
- Scraper APIs and datasets for many sites
- Browser API with stealth included
Cons
- Product sprawl can be hard to navigate
- Pricing adds up across separate products
Best for: Data teams needing proxy scale and ready-made scrapers across many sites.
Firecrawl
From $16/moFirecrawl is the infrastructure layer for finding, reading, and acting on the live web. It offers search, scrape, map, and crawl endpoints that return markdown, JSON, or screenshots, plus an interact feature to act on a page with prompts or code. It is open source and used by a large developer community for RAG and agent pipelines.
Pros
- Clean markdown and JSON output for LLMs
- Search, scrape, map, and crawl in one API
- Open source with a large user base
- Generous free tier to start
Cons
- Not built for full interactive browser automation
- Credit model can be confusing at scale
Best for: Developers feeding live web content into RAG and agent workflows.
Browserless
From $200/moBrowserless provides headless browsers as a service, with browser tasks exposed over simple HTTP and an MCP server for automation. You bring your own agent or library, or self-host on your own infrastructure. It also covers scraping, testing, screenshots, and PDFs, with enterprise options for SLAs and compliance.
Pros
- Managed headless browsers at scale
- Simple HTTP APIs and an MCP server
- Self-hosted option available
- Usage-based, flexible pricing
Cons
- You supply most of the agent logic
- Less focus on structured data extraction
Best for: Teams that want a reliable browser layer under their own automation stack.
Apify
From $39/moApify is a platform and store of over 100,000 Actors, which are ready-to-run tools for scraping and automation. It includes anti-blocking, proxy rotation, the open-source Crawlee library, and MCP support to give AI access to Actors. You can run existing tools or build and monetize your own.
Pros
- Huge library of prebuilt Actors
- Proxy rotation and anti-blocking built in
- MCP integration for agent access
- Open-source Crawlee for custom crawlers
Cons
- Quality varies across community Actors
- Pricing spans platform plus per-Actor costs
Best for: Teams that want prebuilt scrapers plus a platform to build custom ones.
Steel
From $250/moSteel is an API for controlling fleets of browsers, letting agents spin up thousands of sessions on the web. It is open source with a sizable GitHub following, and offers a free tier with credits plus paid plans for production. It focuses on reliable browser sessions with stable identity for agents going to scale.
Pros
- Control thousands of browser sessions via API
- Open source with an active community
- Free credits to start building
- Stable identity for production agents
Cons
- Browser infrastructure, not a full data API
- Smaller company than proxy incumbents
Best for: Developers scaling agent browser sessions with an open-source base.
ScrapingBee
From $49/moScrapingBee is an HTML API for scraping that handles proxies and JavaScript rendering for you. It offers AI data extraction, markdown output, screenshots, and JavaScript scenarios for clicking and typing before scraping. There are dedicated APIs for search engines and sites like Amazon, plus an MCP server for AI assistants.
Pros
- Handles proxies and JS rendering automatically
- AI extraction and clean markdown output
- Dedicated APIs for search and major sites
- MCP server and developer integrations
Cons
- Built around scraping, not interactive agents
- No full browser session control
Best for: Developers who want simple scraping with rendering and proxies handled.
Zyte
From $0.06/1kZyte API is a single endpoint across easy, moderate, and hard websites that chooses the leanest access strategy and escalates only when a site demands it, billing you on success. Zyte Data is a managed service that builds, runs, and delivers schema-ready data. It also offers Scrapy Cloud for hosting crawlers and an MCP server.
Pros
- One API across easy to hard sites
- Billed on successful responses
- Managed data service for hands-off delivery
- Proxies and rendering included automatically
Cons
- Per-tier pricing takes effort to estimate
- Not focused on interactive agent sessions
Best for: Teams wanting success-based scraping or fully managed data delivery.
Oxylabs
From $30/moOxylabs pairs a large proxy network with a Web API that brings live search and structured data retrieval under one interface, aimed at grounding AI agents. It covers residential, mobile, ISP, and datacenter proxies plus a Web Unblocker and an Agent Browser. The platform targets scale with a single subscription across products.
Pros
- Large, high-quality proxy pools
- Web API for search and structured extraction
- Web Unblocker for blocked sites
- Single subscription across all products
Cons
- Enterprise pricing on the higher end
- Broad product set to learn
Best for: Larger teams grounding agents with proxies and live web data at scale.
ScraperAPI
From $49/moScraperAPI is a web scraping API built to scale data collection across millions of sources, handling proxies and anti-blocking for you. It offers an async scraper service, structured JSON for in-demand domains, a DataPipeline for no-code collection, and connectors for AI agents and automation tools. The focus is large-volume, reliable extraction.
Pros
- Handles proxies and anti-blocking automatically
- Async service for very high volume
- Structured JSON for popular domains
- No-code DataPipeline option
Cons
- Scraping focus, not browser automation
- Less suited to authenticated workflows
Best for: Teams running large-scale scraping jobs across many sources.
Hyperbrowser
From $30/moHyperbrowser gives agents a cloud Chrome to control, compute sandboxes to run code, and web data APIs for extraction, all with shared credits. You can connect Playwright or Puppeteer, save logins between runs, and inspect sessions live. It advertises sub-500ms startup and has run over 100M browser sessions.
Pros
- Browsers, sandboxes, and web data in one platform
- Connect Playwright or Puppeteer easily
- Fast startup and high concurrency
- Automatic CAPTCHA solving and proxies included
Cons
- Credit model spans four products at once
- Younger platform building its track record
Best for: Agent builders wanting browsers plus compute and data under one account.
Multion
CustomAGI, Inc., the team behind Multion, builds fast, private action AI that runs on your phone or computer. Its AGI-0 model operates apps directly on the device, learning your preferences over time, and reports 100% on the AndroidWorld benchmark. The focus is hands-free device control rather than cloud web infrastructure.
Pros
- Runs on-device for privacy and speed
- Strong benchmark results on AndroidWorld
- Works across apps on phones and computers
- Learns user preferences over time
Cons
- Device action AI, not web data infrastructure
- Access is gated and early stage
- No conventional scraping or proxy tooling
Best for: Those wanting private, hands-free agent control across device apps.
Anchor Browser
From $20/moAnchor Browser provides a managed cloud browser aimed at AI agents, so they can navigate sites, handle logins, and run web tasks without you managing infrastructure. It focuses on session management, identity, and reliable browser control through an API. It targets developers building agents that act on real websites.
Pros
- Managed cloud browsers for agents
- Handles authenticated sessions
- API-driven browser control
- Built with AI agent workflows in mind
Cons
- Smaller, newer entrant
- Public pricing is limited
Best for: Developers needing a hosted browser for authenticated agent tasks.
How to choose a web infrastructure provider
Start by classifying your agent's workload. Read-heavy agents that scrape prices, docs, or listings do well with extraction APIs like Firecrawl or ScrapingBee. Action-heavy agents that log in, navigate dashboards, and submit forms need a full browser runtime with persistent sessions, such as Browserbase or Steel.
Test against your hardest targets, not the easy ones. Sites behind Cloudflare, Akamai, or PerimeterX behave very differently from a static blog. Run a short pilot and measure success rate, median latency per step, and how often you hit a CAPTCHA or block. Those numbers predict production pain far better than feature lists.
Check how the provider exposes control. Native Playwright or CDP support lets you reuse existing automation code. Some tools also ship higher-level agent actions (click this, extract that) which cut boilerplate but can lock you into their runtime.
Key features to look for
Session persistence matters most for logged-in flows. Look for providers that keep cookies, local storage, and auth state alive across steps and can resume a session after an interruption. Without it, every multi-step task restarts from the login page.
Proxy quality and CAPTCHA handling are usually bundled or sold alongside. Residential and mobile IP pools (Bright Data, Oxylabs) beat datacenter IPs on blocked sites but cost more. Confirm whether CAPTCHA solving is automatic, metered separately, or your problem to solve.
Finally, weigh observability. Live session view, replay recordings, and per-request logs make debugging flaky agent runs far faster. Infrastructure that fails silently will cost you more in engineering time than it saves.
Build versus buy
Running your own headless Chrome fleet with Playwright is cheap at low volume and gives full control. It stops being cheap the moment you need proxy rotation, stealth patches, auto-scaling, and someone on call when Chrome crashes under load.
Hosted providers charge a premium per session but absorb the anti-bot arms race, patching fingerprints and rotating IPs so you don't. For most agent teams shipping a product, buying the browser layer and owning the agent logic is the right split. Revisit the math once you cross millions of sessions a month.
Frequently asked questions
What is web infrastructure for AI agents?
It's the stack that lets an AI agent actually operate on the web: a browser runtime to render and interact with pages, proxies to avoid blocks, CAPTCHA handling, session management to stay logged in, and extraction tools that return structured data. The LLM decides what to do; this infrastructure carries out the clicks, scrolls, and reads.
Do I need a hosted browser or can I run Playwright myself?
For prototyping, self-hosted Playwright is fine and free. At scale you run into proxy management, browser fingerprinting, crashes, and scaling headaches. Hosted runtimes like Browserbase or Steel handle those, letting you focus on agent logic. Many teams start self-hosted and switch once reliability becomes a product issue.
How do these tools get past anti-bot systems?
They combine stealth browser patches (realistic fingerprints, human-like behavior), rotating residential or mobile proxies, and automated CAPTCHA solving. No approach is perfect against aggressive defenses like Cloudflare Turnstile or DataDome, so measure actual success rates on your target sites before committing.
What's the difference between a scraping API and a browser runtime?
A scraping API (Firecrawl, ScrapingBee) takes a URL and returns clean content or JSON, ideal for reading. A browser runtime (Browserbase, Browserless) gives you a controllable Chrome instance for multi-step actions like logging in and filling forms. Agents that both read and act often use both.
How is pricing usually structured?
Browser runtimes typically charge per session or per browser-hour. Scraping and proxy APIs charge per successful request or per gigabyte of bandwidth. Residential proxies cost more than datacenter IPs. Watch for separate CAPTCHA-solving fees and bandwidth overages, which can dominate your bill on media-heavy sites.
Can these handle sites that require login?
Yes, if they support persistent sessions. Look for cookie and local storage persistence plus the ability to resume or reuse an authenticated context. Store credentials securely and respect each site's terms of service, since automated login can violate them.
How do I evaluate reliability before buying?
Run a timed pilot against your five to ten hardest target sites. Track success rate per 1,000 attempts, median step latency, block frequency, and how debuggable failures are. Session replay and detailed logs save significant engineering time, so factor observability into the decision alongside raw success rates.
The bottom line
Start with a hosted browser runtime (Browserbase or Steel) and bolt on a proxy provider like Bright Data only when sites start blocking you. Run a two-week pilot against your five hardest target sites before committing, and track success rate per 1,000 sessions rather than raw request cost.