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.
There is a lot of news related to TikTok being sold to US companies and the issue of scraping TikTok data becomes more real due to the possible closing of the service.
HTML is a simple structured markup language and everyone who is going to write the web scraper should deal with HTML parsing. The goal of this article is to help you to find the right tool for HTML processing. We are not going to present libraries for more specific tasks, such as article extractors, product extractors, or web scrapers.
In this article, we’d like to introduce an awesome open-source Web Scraping solution for running a pool of Chromium instances using Puppeteer.
In this article, I’d like to share a quick guide of how to run Playwright inside AWS Lambda. There are a bunch of similar guides about Puppeteer, but only a few are about the successor from Microsoft.
JS is a quite well-known language with a great spread and community support. It can be used for both client and server web scraping scripting that makes it pretty suitable for writing your scrapers and crawlers.
Most of these libraries' advantages can be received by web scraping API and some of these libraries can be used in stack with it.
So let’s check them out.
AngularJS is a quite common framework for building modern Single Page Applications, but what about the ability to scrape sites based on it? Let’s find out.
In the current article, I’d like to share my experience with Amazon products scraping. The well-known Amazon marketplace offers the best deals for thousands of product types and from thousands of sellers. The potential amount of data to scrape is quite insane and can be used for:
- Market price comparison
- Price change tracking
- Analyzing product reviews
- Copyright check
- Finding the best products for selling or dropshipping
- A lot of data science and machine learning stuff