Wikipedia Scraper API

At first glance, residential and datacenter proxies may seem the same. Both types act as intermediaries that hide your IP address, allowing you to access restricted websites and geo-blocked content. However, there are some important differences between residential and datacenter proxies that you should know before making a decision. We’re happy to walk you through the differences so you can choose what's right for you.

Google Maps scraping is the process of using automated tools or scripts to extract information like business names, locations, and reviews from Google Maps. In this blog post, we’ll discuss the benefits of scraping Google Maps with a step-by-step guide on how to do it using Python, and introduce Decodo's ready-made scraper for those who prefer not to code.

Google Sheets is a powerful tool that hosts various data management and analysis features. While it usually deals with information already gathered elsewhere, few know that Sheets have built-in functions that can also gather website data on their own! This article will explore the many benefits of using Google Sheets for web scraping and how to build a powerful in-house web scraping machine without ever leaving your browser window.

A widely available internet leaves the door open for people to find information about everything. For example, everyone can check a business's online presence before trusting it. So, everything that could be found online about your brand helps your potential audience evaluate if you’re legit.

Statistics only prove that – 9 out of 10 online shoppers admit that reviews influence their buying decisions. It stands to reason – checking unbiased opinions helps avoid low-value products and potential scams. And who wants that? So, for businesses analyzing their customers’ reviews becomes a not-to-miss-out factor.

However, reviews are just one part of the game. Brand reputation management consists of various elements that form the customers' perception of the company. If it’s still a gray area for you, this blog post could be your starting point. 

Nowadays, web scraping is essential for any business interested in gaining a competitive edge. It allows quick and efficient data extraction from a variety of sources and acts as an integral step toward advanced business and marketing strategies.

If done responsibly, web scraping rarely leads to any issues. But if you don’t follow data scraping best practices, you become more likely to get blocked. Thus, we’re here to share with you practical ways to avoid blocks while scraping Google.

SERP (Search Engine Results Page) analysis involves examining search engine results for specific keywords to understand website rankings. It helps identify the content, format, and optimization strategies used by top-ranking pages and uncovers opportunities for improving rankings. In this blog post, we’re exploring what SERP analysis is, how to conduct it, and how it can help you.

For many SEO masters out there, it’s no surprise that using Google Trends for keyword research is a common practice. But, as it turns out, it goes way beyond just keyword research – there’re quite a few ways you can hire it to boost your SEO efforts.

So, let’s take a closer look at how Google Trends work. We’ll show you how savvy SEO managers use Google Trends to boost their rankings. Shall we begin?

An application programming interface (API) works like a messenger. It allows different software systems to communicate without developers having to build custom links for every connection. For instance, one service might supply map data to a mobile app, while another handles payment processing for online transactions. In these times, that demands seamless integration, and APIs play a vital role. They automate tasks, enable large-scale data collection, and support sophisticated functions like web scraping and proxy management. By bridging diverse platforms and streamlining data exchange, they help businesses stay competitive and reduce the complexity of managing multiple, often inconsistent endpoints.

Scraping hotel listings is a powerful tool for gathering comprehensive data on accommodations, prices, and availability from various online sources. Whether you're looking to compare rates, analyze market trends, or create a personalized travel plan, scraping allows you to efficiently compile the information you need. In this article, we'll explain how to scrape hotel listings, ensuring you can leverage this data to its fullest potential.

The data scraping tools market is growing significantly, valued at approximately $703.56M in 2024. The market is projected to grow more due to the increasing demand for real-time data collection across various industries.

OK, OK. You prolly know it already, but let us remind ya. YouTube is a site that allows users to upload, watch, and interact with videos. Since 2005, it has become the MVP platform for various things – starting from storing fav clips or songs and ending with marketing for companies to promote their products.

Hundreds of hours of content are uploaded to YouTube every minute. It means it’s impossible to scrape the search results manually, well, unless you're a superhero. Fortunately, we have great news – our Web Scraping API can do the job for ya.

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.

Web scraping is a powerful tool driving innovation across industries, and its full potential continues to unfold with each day. In this guide, we'll cover the fundamentals of web scraping – from basic concepts and techniques to practical applications and challenges. We’ll share best practices and explore emerging trends to help you stay ahead in this dynamic field.

Web scraping with Python is a powerful technique for extracting valuable data from the web, enabling automation, analysis, and integration across various domains. Using libraries like Beautiful Soup and Requests, developers can efficiently parse HTML and XML documents, transforming unstructured web data into structured formats for further use. This guide explores essential tools and techniques to navigate the vast web and extract meaningful insights effortlessly.