AI Browser Agents with Python & Playwright: Create intelligent web automation workflows and deploy practical agent systems

Arjun Vaid

Vivian Aranha

$198.99

Video Aug 2026 3hrs 48mins 1st Edition

Arjun Vaid

Vivian Aranha

$198.99

Video Aug 2026 3hrs 48mins 1st Edition

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Key benefits

Complete agent architecture with Playwright, LLM reasoning, Streamlit, Docker, and AWS cloud
Human-in-the-loop safeguards for approval steps, form handling, and accountable automation
Project-based coverage of shopping research, approval workflows, ethical limits, and deployment

Description

Agentic browser automation moves AI beyond conversation by enabling systems to navigate web pages, interpret instructions, gather information, and complete multistep tasks. These capabilities support research, data collection, form-based processes, and other repeatable web workflows that benefit from intelligent decisions and responsible controls. Starting with browser structure, DOM selectors, and Playwright fundamentals, the material progresses through Python interactions, data extraction, and structured CSV outputs. You will connect LLMs to browser actions, create a shopping research agent and an autonomous loop, then add human approval for sensitive submissions. The workflow also covers file processing, status tracking, error handling, Streamlit, Docker, and AWS services including S3, SQS, Lambda, DynamoDB, and Lightsail Containers. Practical projects develop the ability to design, operate, and extend browser agent systems while considering CAPTCHA constraints, prompt injection, terms of service, rate limits, and ethical automation. Basic Python is helpful, but each component is built from the ground up. By the end of this course, you will be able to deliver a portfolio-ready system combining reliable web control, LLM reasoning, human oversight, a usable interface, and cloud deployment.

Who is this book for?

Best suited to beginner Python developers, students, automation engineers, AI enthusiasts, freelancers, builders, and professionals exploring agentic automation for business workflows. No prior experience with Playwright, browser agents, Streamlit, Docker, AWS, or advanced machine learning is required. Basic Python knowledge and familiarity with websites, forms, and buttons are helpful; an AWS account is needed only for deployment.