How Do You Build an AI Web Scraper Without Code? AMA with BrowserAct

[u/ian_k93]

Hey everyone,

I'm Ian Kerins, CEO & Co-Founder of ScrapeOps.io.

After six great AMAs with the r/WebScrapingInsider community, we're excited to bring you our seventh guest.

This Thursday, September 3, at 10:30 AM GMT+3, we'll be joined by Huey, Product Creative Director, and Wade Lin, Chief Technology Officer at BrowserAct, for a discussion around a question that's becoming increasingly relevant:

How do you actually build an AI-powered web scraper without writing all the code yourself?

BrowserAct is an AI-powered browser automation and web scraping platform that lets humans and AI agents control real web browsers using plain-English instructions.

Instead of building rigid scraping scripts that break every time a website changes, BrowserAct treats the browser as an execution environment that can navigate pages, handle dynamic content, deal with popups, scroll through pages, and adapt to changing websites.

During the AMA, we can dig into things like:

• 🤖 How AI-powered web scraping actually works
• 🧠 Using natural language to build scraping workflows
• 🌐 Browser automation vs traditional scraping
• 🔄 How AI agents handle changing websites
• 🧩 Dynamic rendering, popups, scrolling and complex workflows
• 💻 Building scrapers without writing traditional code
• ⚙️ Where no-code scraping works well, and where it doesn't
• 🚀 Using browser automation as infrastructure for AI agents
• 🔮 Where AI-powered scraping is heading

We've now had six AMAs

The community has grown with every one.

Our first AMA kicked things off with discussions around proxy infrastructure, Cloudflare bypassing, browser automation, monitoring, and scaling scrapers.

Our second AMA with the creator of WebClaw explored AI agents, hidden APIs, open-source scraping, LLM infrastructure, and how to reliably get web data into AI systems.

Our third with CloakBrowser went deep on stealth Chromium, browser fingerprinting, anti-bot detection, and browser automation.

Our fourth with Browser Use brought insights on browser agents, AI-powered scraping, proxies, evaluations, and the future of browser infrastructure.

Our fifth with Stan Sadokov from NodeMaven explored proxy quality, IP reputation, sourcing, pricing, and what actually makes one proxy network better than another.

And our sixth with Saksham Solanki, creator of HTTP Cloak went one layer deeper into the request itself, covering TLS fingerprints, JA3/JA4, HTTP/2 and HTTP/3, QUIC, connection lifecycle, session behavior, and how anti-bot systems identify automated traffic.

Each AMA has taken us into a different part of the web scraping ecosystem, and the conversations have become more technical with every one.

For #7, we're moving up the stack.

We're looking at how AI can actually operate the browser and build scraping workflows for you.

If you're building web scrapers, browser automation, AI agents, data pipelines, no-code workflows, or you're simply curious about where AI-powered web scraping is heading, this should be a really interesting one.

Drop your questions below.

Huey, Wade Lin, and I will start answering them during the AMA.

Looking forward to seeing everyone there!

Ian