Oxylabs.io

Join our upcoming free webinar: "How Scraped Data Can Help Train LLMs and AI Tools," led by Pierluigi Vinciguerra, CTO & Co-Founder of Databoutique.com! 🗓 Date: November 20 ⏰ Time: 2:00 pm GMT 🔗 Register here: https://lnkd.in/d3q7ytiS In this session, you’ll discover: ✅ Why web scraping is crucial for AI companies gathering data; ✅ Main challenges of web scraping for LLMs and effective solutions; ✅ A live demo showing how to create a custom GPT by scraping newsletter articles from The Web Scraping Club. Secure your spot today!

👻The Halloween edition of #ScrapingDigest has arrived! Get a glimpse into the latest news in #AI, web scraping, and tools to streamline your workflows - whether you're #coding, researching, or optimizing.🤓 And of course, don't forget to check out the community section - we have an exciting #OxyCopilot Challenge coming up on November 13! 😉 Dive in now ⬇️

How to scrape #GoogleShopping: a step-by-step guide 💡 If you want to stay ahead in the #ecommerce game, web scraping is your best shot here. And when it comes to gathering accurate data from thousands of sources worldwide, Google Shopping is a go-to for retailers. Thus, we've got you covered with our hassle-free tutorial on how to scrape Google Shopping data. And yes, it's legal - as long as you follow the rules. Just be prepared to face some challenges, like Google's automated detection and parsing JavaScript. ➡️ That’s why we recommend using a high-quality scraping solution like our Google Shopping API. 👇 Check out a detailed guide for scraping success! https://lnkd.in/dYnpTqsm

Web scraping at scale needs careful planning due to varied site structures and anti-scraping defenses. Poor scraping methods drain resources, miss dynamic content, trigger IP blocks, break terms of service, and create brittle code that breaks on site updates. 🤔 Hence to solve for all these concerns, very recently found out about this brand new tool, OxyCopilot, a new AI-powered assistant from Oxylabs.io which aims to simplify the web scraping process substantially. ✨ The first of its kind in the industry - an AI scraping assistant that automates your code generation and parsing instructions creation! It uses advanced AI models to identify and generate complex parsing patterns accurately, enabling the extraction of nested and listed information. Easily generate code for requests and parsing instructions without manual coding. Use the Scraper API Playground, enter your prompt, and get ready-to-use code in seconds. So if you are trying to scrape complex sites, e.g. Amazon while avoiding blocks, you need to consider many sides. Now, why scrape Amazon? 🛒 With its vast product database, you can access prices, reviews, and ratings—valuable for both business and personal insights Challenges of scraping Amazon: 🤔 - Dynamic content like fluctuating prices and reviews. - Ensuring consistent extraction from diverse product pages. And exactly for situations like this I need adavned AI-enabled tools like OxyCopilot It will: 1. Generate scraping requests and parsing instructions 2. Identify complex patterns using powerful language models 3. Produce ready-to-use code based on natural language prompts 4. The tool can discover all pages on a website and fetch data from them at scale and in real-time. 👨🔧 How does OxyCopilot work? OxyCopilot is accessible via the Scraper API Playground in the Oxylabs dashboard. Once there, you can generate custom parsing and request codes for Web Scraper API. Building a scraper: Provide a target URL and write your prompt in plain English Submit the request, check the output, and copy the code Creating a parser: Provide target URL(s) and write your prompt in plain English Adjust the parsing schema to fit your needs better (optional) Copy instructions and integrate them into your scraping jobs

Tick-tock ⏳ The countdown has started, and we’re just a couple of weeks away from the #OxyCopilot Challenge launch on #Discord, on November 13th. Think you’ve got the skills (and maybe the patience) to make it through? This is your chance to prove it. Sign up early, get your free trial, and be ready to jump in ⤵ 🔗 https://lnkd.in/dbkXGHZC See you there!

Readings for #CyberSecurity month 👇 What is a #Honeypot, and how does It work? A honeypot is a decoy system designed to look like a legitimate compromised system to attract #cybercriminals. Often used by security teams, the system is deployed to entice attackers while diverting them from their actual targets. Depending on their objective, honeypots can be divided into two categories: ➡️ Production honeypots - detect intrusions into the system and deflect the attacker's attention from the primary system. ➡️ Research honeypots - provide valuable data about attacker trends that security teams can use for their defense mechanisms' improvement. Honeypot traps are effective for detecting and thwarting malicious work from cybercriminals. However, they can pose a challenge for legitimate #webscraping processes, as they typically cannot distinguish good bots from malicious ones. 👇 Head to our blog post to learn more about honeypot traps: https://lnkd.in/dcRXNJVv

Heads up! 📢 On November 13th, we’re officially dropping a new Discord event - the #OxyCopilot Challenge! And let's just say - it's not an average web scraping grind. Here’s what you need to know (for now): you’ll have 14 days to tackle a task that will test your skills and possibly patience. You'll be using #OxyCopilot, the industry's first #AI scraping assistant, to complete the task and possibly win some solid prizes. 👉 Join our Discord to get ahead: https://lnkd.in/dTYRwrCS

⏰ Just a few hours until our #Discord Q&A with Ieva Šataitė! This is your chance to ask questions about using #APIs for #webscraping and learn how they can help with #efficient and stable #data extraction. 🗓️ 4:00 PM GMT+3, October 23 👉 Join us on Discord: https://lnkd.in/gYuXkRbt See you soon!

The ever-changing web scraping industry requires developers to always stay on top of the latest trends, and this is exactly why Scraping Digest exists! One of our latest editions explored how to integrate the Assistants API, created by #OpenAI, with #scraped web #data for smarter, more efficient data extraction. We covered: ➡️ How LLM-based assistants are transforming web scraping; ➡️ Practical implementation steps for using APIs; ➡️ Expert insights and code examples. Subscribe for more! ⬇️ https://lnkd.in/dPDt2upH

📢 Our #Discord Q&A with Ieva Šataitė is just happening soon! Join us for chat about #APIs, where Ieva will explore everything from locating APIs to alternative #scraping tactics. If you’re a #webscraping fan, you won’t want to miss this. 🗓️ October 23, 4:00 PM GMT+3 📍 Live on Discord 👉 Join the conversation here: https://lnkd.in/d2rYdFb7 And come prepared with questions!