Tutorials, deep dives, and practical guides on browser automation and building AI agents.
Scrape Amazon prices, reviews, and product data in two API calls. Python, TypeScript, Ruby, and cURL code included. Residential proxies handle blocks.
Web scraping tools, techniques, and best practices for 2026. Python code examples, legal guidance, cloud browser APIs compared, and common mistakes to avoid.
Puppeteer vs Playwright vs Browserbeam compared with side-by-side code, feature tables, and a decision framework. Find the right tool for your project.
Build OpenAI Agents SDK tools that browse, click, and extract web data with Browserbeam. GPT-5.4 code examples, guardrails, multi-agent handoffs, and streaming.
Build a competitive intelligence agent that monitors competitor pricing, features, and content changes with Browserbeam and GPT-5.4. Full Python code included.
Compare GraphQL and REST for browser automation and AI agent workflows. Side-by-side code, performance benchmarks, and a decision framework.
How browser APIs became standard agent infrastructure. Adoption patterns, strategic mistakes, and a 12-month roadmap for teams building AI agents.
Cloud browser API comparison: Browserbeam, Browserbase, Steel, Browserless, and Firecrawl. Pricing, features, code, and a decision framework for AI agents.
Build LangChain agents with browser access using Browserbeam. Full code for ReAct agents, custom tools, and multi-agent browser workflows.
What browser as a service means in 2026, managed vs self-hosted architecture, and how Browserbeam's structured output differs from traditional BaaS.
Build a Python web scraping agent with Browserbeam. Covers login flows, multi-page scraping, debugging, and migration from Selenium.
Structured web scraping with declarative schemas. Extract JSON from any site using Browserbeam. Covers pagination, debugging, and migration.
Structured page data instead of raw HTML. Your agent processes less, decides faster, and costs less to run.
