15 alternatives to Browserbase (14 free)
15 alternatives to Browserbase, picked out of 2 saved Instagram reels and 17 liked tweets, from creators like @alexscraping, @browser_use, @hyperbrowser. 14 of them are free, freemium or open source.
Parse is a web scraping and automation platform that converts websites into hosted REST APIs from plain-English descriptions. It maintains thousands of pre-built endpoints for popular sites and supports authenticated interactions, form submissions, and direct integration with AI agents via Model Context Protocol (MCP).
Browser Use Cloud provides managed remote browser infrastructure for AI agents to automate web tasks without running local browser instances. It handles stealth navigation, provides live session views and CDP endpoints, and automatically saves learned workflows into reusable skill files to speed up repeat runs.
Hyperbrowser provides scalable cloud browser infrastructure and browser agents specifically tuned for AI systems. It solves common web agent roadblocks by automating CAPTCHA solving, proxy rotation, and anti-bot bypassing at scale. It also supports specialized agents like HyperAgent and integrations with frontier computer-use models.
This repository hosts a collection of fully functional example applications built on the Hyperbrowser platform and SDK. It includes standalone web tools for tasks like automated API endpoint discovery (DeepCrawler) and extracting design systems directly into Markdown (designmd-url). It is useful as a reference library for developers building autonomous web agents, scraping workflows, and browser automation tools.
PinchTab is a lightweight Go binary and orchestrator that lets AI agents and scripts control Chrome through a standard HTTP API. Instead of sending heavy screenshots to multimodal models, it extracts the accessibility tree to cut token usage significantly while offering stealth injection to bypass bot detection. It operates with zero configuration and includes a built-in real-time dashboard for managing multiple browser instances.
TinyFish on Monid provides AI agents with free live web search and webpage fetching, positioning itself as a $0 alternative to paid search APIs like Tavily or Exa. It also allows agents to bypass login walls by having the user sign in once via a managed browser session that stays persistent for future runs. Search and fetch require no credit card or subscription, while signed-in browser steps run on a pay-as-you-go balance.
agent-browser Environments is a demo and integration showcasing vercel-labs/agent-browser running within isolated compute environments like Vercel Sandboxes. It lets AI agents quickly boot pre-configured snapshots to navigate URLs, take screenshots, and extract web page data on demand.
API Anything captures how a website's frontend communicates with its backend and learns to replay those requests with new inputs. Instead of driving headless browsers with tools like Playwright, AI agents can execute plain HTTP calls over MCP, CLI, or TypeScript. It significantly speeds up execution time and reduces LLM token consumption.
autobrowse is an AI agent skill from Browserbase that creates reliable web automation scripts through iterative trial and error. Inspired by autoresearch harness concepts, an inner agent runs the task while an outer agent diagnoses execution failures and refines instructions until the workflow passes consistently. It saves working solutions into reusable skill definitions for tools like Claude Code.
Battleships is an interactive pricing calculator and feature matrix comparing over 360 cloud runtime, sandbox, and virtual machine providers for AI agent workloads. It lets users configure custom machine specifications, idle behavior, and concurrency levels to calculate exact expected bills across competing platforms based on documented billing regimes. Built by boat.dev, the project acts as a transparent benchmarking and cost analysis tool for AI agent compute.
boat provides full, persistent Ubuntu virtual machines tailored for running AI agents and automated workflows. Each VM includes Docker, systemd, pre-installed dev tools, and a virtual desktop with Chrome, billed strictly by the second when running and free while paused. It is designed as a fast, cost-effective infrastructure layer for large-scale agent tasks, coding agents, and headless browser scraping fleets.
A comparison framework evaluating five cloud browser providers for running high-volume, automated scraping fleets. It benchmarks boat.dev against Browserbase, Browser Use, Steel, and Hyperbrowser based on concurrency pricing, session limits, anti-bot capabilities, and infrastructure features like persistent storage and VM access.
This tip demonstrates how to call Firecrawl's scrape endpoint using their FIRE-1 agent model. By passing navigation instructions inside the agent payload, you can scrape dynamic websites that require clicking, searching, or paginating before extracting content.
Firecrawl Agent is an API endpoint that searches, navigates, and scrapes websites autonomously based on a natural language prompt. Instead of manually providing target URLs or writing crawling logic, developers supply a prompt and a schema to get structured JSON back. It handles dynamic pages, pagination, and multi-source research tasks automatically.
A workflow pattern that pairs Claude Code with cloud sandboxes like boat.dev to run parallel browser-based scraping jobs. It uses subagents in isolated virtual machines with human-like input emulation to scrape sites concurrently and aggregate data into structured reports. It serves as a lower-cost alternative to dedicated managed browser platforms for large research or lead generation projects.