Data Collection

Want to scrape a website to Markdown? Markdown is a plain-text format that uses simple symbols for structure, making it easy to read, write, and convert. Loved by developers and platforms like GitHub, it keeps content clean and portable. In this guide, you’ll learn how to capture site content and instantly export it in this streamlined format.

When the website's firewall security settings block your request, Error 1020 will appear. This means that the restriction has been enforced even before your device gets to the website. People using automation tools, website administrators, and ordinary internet users encounter this problem. This post will help you understand what causes it and how to fix it.

Launched in June 2023, Janitor AI quickly became a standout in the conversational AI space. More than just a chatbot platform, it combines human creativity with AI flexibility, making it ideal for developers building dynamic tools and casual users seeking lifelike, role-play-ready companions. Time to meet your chiseled, charismatic AI partners and see what they’re really made of.

Over the past year, the Model Context Protocol (MCP) has gone from a niche idea to a go-to standard for integrating LLM agents with real-world tools and data. This setup lets agents deliver smarter, context-aware responses and handle complex workflows on their own. In this guide, you'll learn how to set up the Decodo MCP server with tools like Cursor, VS Code, and Claude Desktop and supercharge your web scraping operations.

Amazon is the go-to destination for online shoppers – and with that comes a treasure trove of customer reviews. These reviews provide invaluable insights for businesses looking to understand consumer preferences, researchers tracking market trends, and shoppers making well-informed decisions. In this guide, we’ll explore the types of data you can extract from Amazon reviews, outline various scraping methods, and show you how to efficiently scrape reviews using Python and our powerful residential proxies.

If you're comparing Smartproxy and Decodo, here's the most important thing to know – it’s the same company, just under a brand new name. This isn't a comparison between competitors, it's a guide to understanding how Smartproxy evolved into Decodo, bringing you enhanced capabilities while maintaining everything that made us the best value provider in the market.

Modern websites rely heavily on JavaScript and anti-bot measures, making data extraction a challenge. Basic tools fail with dynamic content loaded after the initial page, but Selenium with Python can automate browsers to execute JavaScript and interact with pages like a user. In this tutorial, you'll learn to build scrapers that collect clean, structured data from even the most complex websites.

From emerging trends and consumer behaviors to potential risks, external data allows companies to gain a holistic view of the market. Access to data and tools powered by artificial intelligence (AI) has shifted how businesses make strategic decisions, using data to accelerate business growth and operational efficiency.

Read on as we uncover how companies have seen measurable results and increased revenue, as well as the top red flags to watch out for.

Google Lens has revolutionized how we interact with visual content – it allows users to search the web using images rather than text queries. This powerful visual search engine can identify objects, text, landmarks, products, and much more from uploaded images. In this guide, we'll explore the types of data that can be scraped from Google Lens, examine various methods for extracting this information, and demonstrate how to efficiently collect visual search results using our Web Scraping API.

Getting good data at scale is crucial when you're running AI-powered business operations. Sure, AI tools can help with data collection, but they're definitely not all created equal. We'll walk through the best AI data collection platforms out there, break down what works and what doesn't, and help you figure out which one makes sense for what you're trying to do, whether you're putting together a machine learning pipeline or just trying to automate all that tedious data entry work.

You don't need to be Google or work at a university to train your own AI model anymore. Small teams can build smart systems that actually work for what they need - you just need the right tools and know-how. This guide walks you through everything from figuring out what problem you're trying to solve all the way to getting your model up and running and keeping it working.

Ever wondered how some app developers always seem one step ahead on Google Play? The secret often comes down to data – lots of it. Instead of waiting around for monthly “Top Charts” updates, the smartest teams use Google Play scrapers to track real-time metrics and stay ahead of the competition. In this article, you’ll learn how to do exactly that, gaining the tools to effortlessly scrape everything from download totals to one-star rant emojis.

Target is one of the largest retailers in the US, offering a wide range of products, from electronics to groceries. Scraping product data can help you track prices, monitor trends, or build comparison tools to enhance your purchasing decisions. This guide outlines the process, provides suggestions, and provides instructions on how to extract data, such as prices and ratings, efficiently.

Walmart’s digital marketplace is a vast platform, featuring over 420 million products and nearly 500 million monthly visits. That volume of web data is a valuable source for eCommerce teams, data analysts, and investment firms seeking pricing intelligence, inventory trends, and competitive insights. But scraping it isn’t easy – Walmart uses a complex, multi-layer anti-bot system that stops most common scraping tools. In this guide, you’ll learn the proven methods that work in 2026.

When it comes to gathering online data, two terms often create confusion: web crawling and web scraping. Although both involve extracting information from websites, they serve different purposes and employ distinct methods. In this article, we’ll break down these concepts, show you how they work, and help you decide which one suits your data extraction needs.

Google Finance is one of the most comprehensive financial data platforms, offering real-time stock prices, market analytics, and company insights. Scraping Google Finance provides access to valuable data streams that can transform your analysis capabilities. In this guide, we'll walk through building a robust Google Finance scraper using Python, handling anti-bot measures, and implementing best practices for reliable data extraction.

YouTube handles over 3B searches every month, making it the world’s second-largest search engine. Tapping into that web data uncovers trending topics, competitor strategies, and content gaps you can exploit. However, extracting that information requires navigating YouTube’s sophisticated CAPTCHAs and technical hurdles. In this guide, you’ll learn some proven approaches on how to scrape YouTube search results at scale and choose the right method for your specific needs.

Zillow hosts millions of real estate listings across the U.S., but manually collecting that data is slow and error-prone. This guide walks you through how to scrape Zillow data effectively and ethically. You’ll learn what kind of data is accessible, which tools to use, and how to handle anti-scraping challenges to keep your pipeline running smoothly.