241 posts tagged with "data extraction"

Data is all around us, and scientists train themselves to question everything. Scientists usually spend hours studying data in their specific field to facilitate learning, understanding, innovation.

However, to procure the volume of data necessary, scientists often need help from computer programs and AI technology. Many times, the correct technology for this job is a web scraping tool.

This article will explain the uses of web scraping for data scientists, information about web scraping, and why ScrapingAnt can help you get the information you need.

Web scraping and API scraping are predominantly the most practical data harvesting methods. But what do these two terms mean? What is the difference and, what is their role in the data harvesting war? The following article defines each and discusses the advantages and disadvantages of each.

Dynamic languages are helpful tools for web scraping. Scripting allows users to rapidly tie together complex systems or libraries and express ideas without dealing with memory management or build systems.

JavaScript is the most popularly used dynamic language, operating on every device with a web browser, and Node.js as a JS runtime proved to be a very successful software platform. Due to design mistakes, it became hard to evolve with an existing user base, so Deno was born to resolve all the problems. Let's find out how to scrape the web and dynamic websites with Deno.

You open a page in the browser and the data is there. You fetch the same URL with requests, parse it with BeautifulSoup, and the field is empty or shows placeholder text. That is the symptom of a dynamic website: the HTML the server sends is not the HTML you see, because JavaScript changes the page after it loads. This tutorial shows how to confirm that diagnosis on a small fixture and how to get the rendered content with Selenium, Playwright, or the ScrapingAnt API, including the case where the content shows up only after a delay.

Node.js is a good fit for web scraping: fetch is built in, the parsers are fast, and the two main headless browser libraries, Playwright and Puppeteer, are JavaScript-first. This guide goes from a one-line request to a page that only renders in a browser, then shows the same job through a web scraping API.

In this article, we will learn how to create a simple e-commerce search API with multiple platform support: eBay and Amazon. AutoScraper and FastAPi provide the ability to create a powerful JSON API for the date. With Playwright's help, we'll extend our scraper and avoid blocking by using ScrapingAnt's web scraping API.

Playwright is a high-level API to control and automate headless Chrome (Chromium), Firefox and Webkit. It can be considered as an extended Puppeteer, as it allows using more browser types to automate modern web apps testing and scraping. Playwright API can be used in JavaScript & TypeScript, Python, C# and, Java. In this article, we are going to show how to set up a proxy in Playwright for all the supported browsers.

Web scraping a website with the actually supported or other browsers has a real benefit in ensuring that the scraper will not be banned by the fingerprint or the behavioral pattern. Playwright already provides full support for Chromium, Firefox, and WebKit out of the box without installing the browsers manually, but since most of the users out there use Google Chrome or Microsoft Edge instead of the open-source Chromium variant, in some scenarios, it's safer to use them to emulate a more realistic browser environment.

While playing around machine learning, we've found pretty interesting white paper about GPT-2. Let's find out what it can generate about web scraping!

Web sites are written using HTML, which means that each web page is a structured document. Sometimes the goal is to obtain some data from them and preserve the structure while we’re at it. Websites don’t always provide their data in comfortable formats such as CSV or JSON, so only the way to deal with it is to parse the HTML page.