Decodo

CSS selectors break. XPath errors stack up. You spend more time fixing the scraper than using the data. 😶 Browser-use changes that. Describe what you want, and an AI agent handles the rest – reading the page, adapting to layout changes, and keeping your pipeline running where selector-based scrapers would've quit. We put together a full guide covering setup, prompt writing, real use cases, and proxy integration for running at scale. Full guide in the comments 👇

Prices online aren't what they seem – and most shoppers have no idea how often they change. We built an index tracking price movements across 120+ retailers to see just how active the market really is. What we found changes how you think about the "deal" you're getting. See who's repricing the most 👇

Your scraper is one website update away from breaking. 🔴 AI scraping fixes that. Instead of matching rigid HTML tags, it reads pages the way a human would – understanding meaning, not just structure. 🤩 No more broken selectors 🤩 Works across messy, inconsistent pages 🤩 Far less maintenance Decodo's AI Parser does this without a single line of code. Paste a URL, describe what you need, and get clean data back. Watch how it works👇

Most web scrapers break the moment a site changes its layout. 😶 The ones that don't are built on a smarter stack – one that handles static pages, JavaScript-rendered content, and anti-bot measures without constant babysitting. We put together a full guide on how to extract clean text at scale, and what to do when the usual approaches fail. Full tutorial in the comments 👇

Dynamic pricing is getting a bad reputation. Most of it undeserved. 👀 The technology behind your markdowns, flash sales, and competitive pricing is not the same as tracking individual shoppers – but they're being treated like they are. We dug into the data. The results tell a different story. Full breakdown in the comments 👇

The price you see isn't the price everyone sees. 👀 Retailers are adjusting prices hundreds of thousands of times a day – based on the time, your location, demand, and a lot more. And most shoppers have no idea it's happening. But the data tells a very different story than you'd expect. We dug into 1.5M+ price changes across 120+ platforms to find out who's doing it, how aggressively, and, more importantly, how you can use it to your advantage. The the full breakdown in the comments below👇

The era of “cheap” agentic AI is ending. 🤯 Anthropic just blocked OpenClaw and similar frameworks from Claude’s flat-rate plans — and some teams are now facing up to 50x higher costs. 🫣 This isn’t just a product update. It’s a shift: ➡️ from unlimited subscriptions ➡️ to pay-per-compute reality If you’re building with AI agents, this raises big questions about cost, scalability, and provider dependency. 👀 We break down what happened, why it matters, and what to do next (in the comments below) 👇

Missed what we were cooking this March? 🥘 Here’s everything served up in one place — #DecodoNews. All the links are in the comments below. 👇

Google AI Mode is running 816+ simultaneous experiments right now. Selectors break overnight, no warning. 😶 Still worth it though – showing up in an AI Mode citation is roughly equivalent to a top-10 organic ranking, and almost nobody is tracking it yet. Our latest guide covers how to scrape it with Playwright or a single API call if you'd rather skip the infrastructure headache. Link in the comments 👇

Stop scrolling, grab your favourite coffee, tea, or matcha – and dive into the latest: #DecodoNews!