webscraping.pro
We recently applied Sequentum Cloud to a highly protected scrape target and got quite successful results. An initial Agent run had some errors, failing data capture of some of URLs. After a support consultation we were pointed to a built-in feature of Sequentum Cloud to rerun Agent to gather missing data.
In the modern web 2.0 the sites that have valuable data (eg. business directories, data aggregators, social networks and more) implement aggressive blocking measures, which can cause major extraction difficulties. How can modern scraping tools (eg. Sequentum Cloud) still be able to fetch data of actively protected sites?
Sequentum is a closed source point and click scraping platform that integrates everything we need to bypass anti-bot services, including management of browsers, device fingerprints, TSL fingerprints, IP rotation, user agents, and more. Sequentum has had its own custom scraping browser for more than a decade, and as one of the most mature solutions on the market, they are able to support atomic level customization for each request and workflow step. As such, Sequentum Cloud is an out-of-the-box advanced scraping platform with no upfront requirement to stand up infrastructure, software, or proxies. It also has a very responsive support team, which can be useful in coming up to speed on one’s approach and is quite unique in the scraping industry. In this test, we were able to configure a site with very aggressive blocking and, with some refinement of error detection and retry logic, were able to get some of the most protected data consistently over time.
For this test, we pointed their tool at a major brand on Zoro.com, a site with aggressive blocking. Initial attempts yielded 32K records which was 94% of the estimated 34K entries. We worked with support to understand the ways to customize the advanced error detection and retry logic included in the Sequentum platform to the behavior of the Zoro.com site and was able to get 100% of the data. In this article we are sharing what we have learned.
The overall test results of Sequentum Cloud and Oxylabs API (shared in a post) might be summarized in the following comparison table.
| Success rate | Avg. seconds per page | Estimated cost | Rating | |
|---|---|---|---|---|
| Sequentum Cloud Agent | 100% | 0,4 (provided 10 browsers) | $12 ($3.75 per 1GB traffic of res. proxy) |  |
| Oxylabs' API | 90% | 11 | ~$60 ($2 per 1000 requests) |  |
The preconfigured API [of Oxylabs] is already built [and maintained] for an end user. Sequentum Cloud Platform is rather an open tool, and agents can be customized in a myriad of ways. Hence it can take longer to build a working agent [compared to a ready-API] but for the most part a custom agent is the better way to apply in an industrial scale for one’s custom use case.
In the evolving world of data and data-driven economies, modern data gathering tools and services are crucial. So, in this post we’ll review Sequentum Cloud, the cloud-based web data scraping suite enabling non-tech users to gather custom web data. Sequentum Cloud is great for both for gathering business intelligence, such as monitoring competitors to drive data driven decision making or powering content-driven AI applications.
Sequentum Vision
Sequentum’s users include data engineers, research analysts, compliance and governance managers who can get started immediately and leverage best-in-class technology to get the most precise data to meet their needs.
In the post we want to introduce you to the most important and outstanding features that Sequentum Cloud possesses.
Recently I was given a bunch of sites to scrape, most of them being simple e-commerce. I decided to try Zyte AI powered spiders. To utilize it, I had to apply for a Zyte API subscription and access to Scrapy Cloud. Zyte AI proved to be a good choice for the fast data extraction & delivery thru spiders that are Scrapy Spiders. Below you can see my experience and the results.
I have done another “experience” post on the Zyte platform usage.
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.
Agree, it’s hard to overestimate the importance of information – “Master of information, master of situation”. Nowadays, we have everything to become a “master of situation”. We have all needed tools like spiders and parsers that could scrape various data from websites. Today we will consider scraping the Amazon with a web spider equipped with proxy services.
From eCommerce and market research to competitive analysis and more, web scraping has become an integral part of data collection. And for some, it’s the secret sauce for success.
But with great scraping power comes great responsibility.
Web scraping can result in IP bans and other harsh restrictions. To avoid these issues, many turn to proxies, which act as intermediaries between your requests and the target website. In this article, we’ll explore the top 3 proxy types for web scraping and focus on the key benefits of each proxy. Let’s go!
Bright Data offers its customers a full suite of real-time data collection tools that help them gain and maintain a competitive market edge. BrightData prides itself on its ethical and 100% legally compliant approach.
When traversing the digital landscape for high-quality proxy services, the name NetNut often emerges as a frontrunner. This review aims to delve into the facets of NetNut’s offerings, emphasizing the distinctive aspects that set it apart in an intensely competitive environment.
In the world of proxies, NetNut.io has built a reputation for speed, reliability, and robustness. Leveraging its partnership with a major US data carrier, NetNut offers a residential proxy network that is both unique and high-performing. The company’s network is expansive, with a coverage that spans millions of IPs globally, presenting an impressive degree of scalability.