Products

Browserbeam

Uses AIMCPSkill

The Browser API Built for AI Agents

browserbeam.com AI Models & Agents / Agent Tools & MCP Servers

AI Benchmark
Desktop
Mobile
Monthly visits
<5K
Oct 2026
Public revenue
Undisclosed
No public revenue evidence yet
Entry price
$29/mo
Higher than 72% of peersNiche median $19/mo
Creators
Nicolae Rotaru
@nrotaru· 12 followers
Launched
8mo ago
2026-03-31 · Est.

Traffic

Last 12 months
Monthly visitsData through Oct 2026
Events4 marketing moves

Marketing moves

Launches, search & content, referrals, promotions
X accounts@nrotaru

  • Launched on Uneed (#9)Launch

    Browserbeam — The browser API built for AI agents and web automation

    May 17 · 6mo agoLaunch page

  • Launched on BetaListLaunch

    Browserbeam – Control real browsers via REST to extract structured, stable data — Control real browsers via REST to extract structured, stable data

    Apr 11 · 7mo agoLaunch page

  • Launched on Show HN (4 pts)Launch

    Browserbeam – a browser API built for AI agents — I often use LLMs to automate different workflows, some of which include browsing the web and gathering data. At some point I started notic…

    Apr 1 · 8mo agoLaunch page

  • Launched on Product HuntLaunch

    The browser API built for AI agents

    Mar 31 · 8mo agoLaunch page

Third-party reviews & case dossiers

Acquisition breakdowns, engineer reviews & open-source metrics
Show HN
2026-04-01Source
Post excerpt:
I often use LLMs to automate different workflows, some of which include browsing the web and gathering data. At some point I started noticing a few things that bothered me: the browser interactions were clunky, as if the agent was struggling to "see" and understand the page, and as a result, many tokens were wasted. Same for knowing when the page is actually

MCP Server & Agent Ecosystem

GitHub · MCP / Skill

Agent, MCP & Developer Integration

MCP ServerAgent SkillCLI / SDKAPI
Ecosystem & integrations:
CursorClaude DesktopWindsurfOpenAIClaude
Exposed tool capabilities:
Agent BrowserWeb Data ExtractionLLM-powered web agentsAutomated form fillingWeb scrapingQA testing
Browse all MCP Server products →

Traffic sources

Oct 2026

Traffic breakdown

Channels

  • Direct37%
  • Organic Search31%
  • Referrals11%
  • Social7%
  • Other13%

Countries

  • Ukraine100%

Search

Domain authority —Domain registered 2026-03-21

KeywordMonthly volume
header checker1,420
http header checker1,050
puppeteer vs playwright940
is there a cheaper service that uses cloud browser like chatgpt630
header security check490

Traffic data: Vaneform

Pricing

Starter
$29/mo
500,000 credits / month · 5 concurrent sessions · 15 min per session · Datacenter & residential proxies · AI selectors & semantic extraction · Auto CAPTCHA solving
Pro
$99/mo
2,000,000 credits / month · 50 concurrent sessions · 30 min per session
Scale
$299/mo
10,000,000 credits / month · 100 concurrent sessions · 1 hour per session

Trial: None · 3 paid tiers ($29–$299) · Observed 2026-11-02 · Pricing page

Entry price $29/mo, Higher than 72% of peers; “Agent Tools & MCP Servers” median is $19/mo.View pricing benchmark

Pages & changes

Tracked since 2026-03-31

Key pages

Weekly snapshots
browserbeam.com/ Snapshot 2026-11-03

Changes

No pricing, plan, or positioning changes detected since tracking started.

Questions & evidence

How much does Browserbeam cost?
Starter: $29/mo; Pro: $99/mo; Scale: $299/mo. Observed 2026-11-02. Check the source for current billing terms, usage limits and taxes.Source
How much website traffic does Browserbeam get?
Vaneform estimates <5K website visits in 2026-10. Visits can include repeat visits; this estimate measures web traffic separately from paying customers or revenue.Source
What is Browserbeam and what platforms does it support?
Browserbeam is catalogued under Agent Tools & MCP Servers: The Browser API Built for AI Agents. Supported platforms: MCP Server, CLI / SDK, API.

Related products in this category

AI Models & Agents / Agent Tools & MCP Servers

These products share a catalog category. Compare customer tasks, features and deployment requirements before treating them as alternatives.