I’ve described my initial experience with Zyte AI spiders leveraging Zype API and Scrapy Cloud Units. You might find it here. Now I’d share more sobering report of what happened with the data aggregator scrape.
Category: Challenge
Categories
Protected: .NET Code Guard
Recently we’ve ancounted a highly protected site — govets.com. Since the number of target brand items of the site was not big (under 3K) so I desided to get target data using the handy tools for a fast manual scrape.
Recently i was challenged with getting Linkedin group memebers info. The challenge made me to seek some ways to
Here is a video where I try to catch all Linkedin group members through endless scroll**, I having to be a member of the group.
The real speed is ~1 person/second though.
Sometimes you need to click on the “Scroll more results” button or even just hover the mouse over this button.
Automate scroll
**The post on how to start infinite scroll in the browser… But this JS code from the post does not help to replenish the page… Only when there is a focus on the browser tab/page, the script continues loading data again.
Over 7.59 million of websites use Cloudflare protection, 26% of
them are among the top 100K website worldwide. As Cloudflare
establishes itself as the norm regarding service protection, chances are, the site you want to scrape is more likely to use it than not.
When it comes to scrapping websites, captchas and other type of
protections were always the main obstacle in providing reliable data collection solutions. And most often this would lead to consider bypass services which aren’t always free.
Selenium comes with a default WebDriver that often fails to bypass scraping anti-bots. Yet you can complement it with Undetected ChromeDriver, a third-party WebDriver tool that will do a better job.
In this tutorial, you’ll learn how to use Undetected ChromeDriver with Selenium in Python and solve the most common errors.
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How to bypass PerimeterX
You’ve found the website you need to scrape, set up your scraper and fired it, just to sadly realize PerimeterX has blocked you.
PerimeterX’s dynamically complex bot detection system relies on server-side and client-side checks to distinguish humans from bots. It deploys several layers of protection and, for the most part, manages to do its job without interrupting the user experience.
But don’t fall into despair! There are a couple of things you can try to bypass PerimeterX (called HUMAN now) before giving up on your goal of scraping that delicious data.
Recently we’ve got the tricky website, its data being of dynamic nature. Yet we’ve applied the modern day scraping tools to fetch data. We’ve develop an effective Python scraper using Selenium library for browser automation.
About the project
We were asked to have a look at a retailer website.
And our task was to gather data on 210 products’ availability in 945 shops. The scrape resulted in about 200K data entries in a CSV format. Moreover, every line contained information about name, link, brand, store and the availability of a product. Below you can familiarise yourself with a small data sample we were able to gather.
Today, I’ll share of a Dicord server 1 and server 2 that accomodate a bot able to detect multiple modern scrape-protection and scrape-detection means. The server’s channels with the bot are #antibot-test and #antibot-scan respectively
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Web Scraping: 5 pros and cons
Web scraping, also known as data mining or web harvesting, is the process of extracting data from websites automatically. The extracted data can be used for various purposes, such as market research, price monitoring, sentiment analysis, and many more. However, web scraping has both advantages and disadvantages. In this article, we will discuss the five main pros and cons of web scraping.