Scalable Web Data Extraction With a Single Tool for Any Website

Vytenis Kaubrė

Last updated on

2024-11-05

1 min read

AI Summary:

Web scraping faces significant challenges from website blocks, requiring advanced techniques beyond basic proxies for reliable data extraction. Implementing these human-like scraping functionalities across diverse, scalable operations is complex and resource-intensive. A single, comprehensive tool can overcome these blocks, scale operations efficiently, and reduce development and maintenance overhead.

Web scraping blocks are the primary challenge businesses deal with when gathering public website data; hence, equipping a custom scraping infrastructure with proxy servers is a non-negotiable necessity.

Yet, with proxies turned on, ensuring rock-solid success rates becomes cumbersome with more complex sites. To overcome blocks when proxies aren’t enough, a scraping tool must appear human-like by utilizing multiple methods, such as cookie handling, header sets, headless browsers, request retries, and other techniques. Unsurprisingly, setting up all these functionalities requires additional development time and business resources, especially when it comes to scalable scraping scenarios of different websites.

The white paper overviews how a single tool can unblock web data, scale operations, and reduce scraper development and maintenance overhead.

Free PDF

Scalable Web Data Extraction With a Single Tool for Any Website

What to expect from this white paper?

This white paper will walk you through the following:

The differences between self-managed proxies and an all-in-one proxy solution
How a single proxy tool cut Oxylabs’ client’s business costs
An in-depth look at Web Unblocker and its advantages
A direct comparison of Residential Proxies vs. Web Unblocker in code

Interested in other web scraping topics? Check out our collection of free white papers.

About the author

Vytenis Kaubrė

Technical Content Researcher

Vytenis Kaubrė was a Technical Content Researcher at Oxylabs. Creative writing and a growing interest in technology fueled his work, where he researched and crafted technical content while honing his skills in Python. Off duty, he could often be found working on personal projects, learning about cybersecurity, or relaxing with a book.

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