Theresia Tanzil

Explore how AI agents are reshaping web traffic into hostile, negotiated, and invited access lanes. Learn what this means for bots, scraping, and the future of data access.

Discover how retailers leverage web data to optimize pricing, track competitor stock, detect trends, and improve sales performance.

Anti-bot systems now evolve in minutes, not weeks. Discover why automated, self-healing scraping systems are essential to survive the 2026 data arms race and how to adapt.

Discover how web data enables digital shelf analytics vendors to track prices, availability, and product trends at scale—fueling real-time retail intelligence and competitive advantage.

Discover how autonomous, agent-driven data pipelines are transforming web scraping in 2026, enabling self-healing systems, API discovery, and end-to-end automation.

From LLM-powered extraction to agentic pipelines, here's how AI is reshaping every stage of the web scraping workflow in 2026 and what it means for your stack.

AI speeds up development - but it might default to past conventions and versions. How can developers ensure they work with the latest features and requirements?

By 2026, the question won't be "which proxy should I use?" It will be "which API should I call?"

The web is about more than the written word. Why companies are racing to harness the power of video, audio and pictures.

AI-enabled code editors can now conjure scraping code on command. But is it any good? Here’s how Zyte re-engineered LLMs with Web Scraping Copilot to drive best-in-class output.

Discover how BI teams in 2026 use AI-powered web data to cut data wrangling, improve quality, and stay compliant. Insights from Zyte’s Web Scraping Industry Report.

AI is reshaping web scraping in 2026. Learn how agentic systems, scraping APIs, and automated access management help developers build faster, more resilient data pipelines.

How engineering leaders can scale web data in 2026 using agentic AI, automated scraping, and compliant platforms, without growing headcount.

Smarter tools and AI-driven automation are rewriting the rules of web scraping. As costs fall and setup barriers vanish, smaller teams can now compete at scale, reshaping how the web’s data economy works.

Most web scraping projects that collapse don't fail because of technical incompetence. They fail because teams treat data extraction like a coding sprint rather than a product launch.

The practice of data quality (DQ) is emerging as a key discipline businesses can use to understand and improve the provenance of the content they collect.

Retail pricing has long combined data, experience, and instinct – but today’s market volatility demands a faster, smarter approach.

Discover how AI and LLMs are enhancing web scraping with smarter crawling, fuzzy data extraction, automated spider generation, and intelligent QA.

Scaling your business’ web data gathering – acquiring, monitoring and storing a growing amount of data from a growing number of sources over time – requires holistic planning.

The Strategic Case for Buying Web Data: Quality, Focus, and Scale

Engagements with data suppliers break down when buyers don’t have a clear project concept. Understanding and articulating your needs is paramount. Meet the three types of data buyers. Which one are you?

The story of Scrapy reflects the broader evolution of the web itself and the ongoing quest to harness its ever-expanding ocean of information.

This article shares three strategies to operationalize large-scale browser automation yourself and what alternatives exist.

Weighing your options from full control to full service

The difference between writing a scraper and running a scraping operation

Discover how to adapt to Google’s January 2025 SERP changes requiring JavaScript rendering.

Business and technical insights from key players and experts in web data extraction.

Discover how Zyte practices performance-based pricing and a customer-first approach to reshape web data extraction services.