Author
Theresia Tanzil
Content Writer
Theresia is a web scraping strategist who writes at the intersection of web scraping strategy and business decision-making, with a strong recent focus on how AI is reshaping data extraction economics — from "AI is the new engine for web scraping" to "The new economics of web data: Smaller scraping just got cheaper" and "Beyond Hello World: The Operational Gaps in LLM-Powered Scraping Tools." She also covers data quality frameworks ("The DQ playbook", "Teaching AI to scrape like a pro"), role-specific guidance for BI, engineering, and scraping teams in her "Web data for X in 2026" series, and recurring use-case pieces on e-commerce price intelligence, compliance, and multimedia data. Beyond the blog, she authored Zyte’s flagship Web Scraping Industry Report series across both 2025 (four /learn/ installments — intro, developers, industry players, business leaders) and 2026 (whitepaper edition), plus a proxy-shopping primer. Across 43 published pieces, she is one of the site’s most prolific contributors on scraping strategy and web data application.
Building robust agentic AI workflows with rapid web data
AI agents need access to public web data, right now. Tools connected to web scraping APIs empower agents to return live data quickly.
Enhancing AI model performance with fresh web data
No-one likes an out-of-touch AI assistant. Fortunately, rapid refreshing can keep AI models aware of the very latest public information.
Building superior AI models with quality web data
Training data quality can make or break AI model effectiveness. So how are engineers sourcing the web’s best input?
The great wall of data: The complexities of web scraping in the Asian market
While the technological arms race of web data access is universal, the battleground in Asia has its own unique rules of engagement.
Actually, web scraping APIs are cheaper
Many data teams still think running a proxy-based scraping stack is most cost-effective. Industry pressures and our research disprove that idea.
The science of compliance: Tech tips for a legal data pipeline
New legal and regulatory compulsions for web data have significant business consequences. So, how can technologists engineer their company’s risk profile lower?
Web scraping APIs vs proxies: A head-to-head comparison
Proxies are essential to scraping at scale. So, how do full-stack web scraping APIs compare?
Legal clarity comes with compliance demands
Explore how new regulations like the EU AI Act and California AB 2013 are reshaping AI data compliance in 2026. Learn why provenance, transparency, and lawful sourcing are now critical.
Brand visibility in the digital era: How web data help brands see the full picture
Discover how web data helps brands improve visibility, track competitors, monitor availability, and analyze reviews to win on the digital shelf.
How online retailers use web data to compete on price, promotion, and availability
Discover how retailers leverage web data to optimize pricing, track competitor stock, detect trends, and improve sales performance.
How web data turns e-commerce listings into retail intelligence
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.
Dawn of the autonomous data pipeline
Discover how autonomous, agent-driven data pipelines are transforming web scraping in 2026, enabling self-healing systems, API discovery, and end-to-end automation.
AI is the new engine for web scraping
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.
Is your AI coding assistant stuck in the past?
AI coding tools like Copilot can suggest outdated code and practices. Learn why this happens and how developers can ensure they use the latest standards.
Data outcomes are top of the scraping stack
By 2026, scraping shifts from proxy management to API-first data outcomes. Learn why unified scraping APIs are replacing traditional stacks.
Beyond text: Unlocking value on the multimedia web
The web is about more than the written word. Why companies are racing to harness the power of video, audio and pictures.
Teaching AI to scrape like a pro: how we measure LLMs’ data quality
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.
Web data for business insights in 2026: Elevate your BI function with quality data
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.
Web data for scraping developers in 2026: AI fuels the agentic future
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.
Web data for engineering leaders in 2026: Scale scraping without scaling headcount
Explore how agentic AI is transforming web scraping in 2026, and why engineering leaders should rethink DIY infrastructure.
2026 Web Scraping Industry Report.
View the free 2026 Web Scraping Industry Report and learn how modern teams use AI and automation to collect reliable, compliant web data.
The new economics of web data: Smaller scraping just got cheaper
Discover how AI and new scraping tech are lowering costs, removing the “scale tax,” and making web data access affordable for smaller teams.
How to Plan Your Web Scraping Project Like a Product Manager
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 DQ playbook: How ‘data quality’ fuels business’ pursuit of precision
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.
How price extraction is fuelling insights for modern retailers
Retail pricing has long combined data, experience, and instinct – but today’s market volatility demands a faster, smarter approach.
Four sweet spots for AI in web scraping
Discover how AI and LLMs are enhancing web scraping with smarter crawling, fuzzy data extraction, automated spider generation, and intelligent QA.
From script to system: 10 building blocks to scale web scraping
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.
Quality, focus and scale: Three ways data outsourcing benefits businesses
The Strategic Case for Buying Web Data: Quality, Focus, and Scale
What’s your data type? Solving the procurement problem
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 rise of Scrapy: How an open-source scraping framework conquered the web
The story of Scrapy reflects the broader evolution of the web itself and the ongoing quest to harness its ever-expanding ocean of information.
Browser bother: Three painkillers for headless scraping headaches
This article shares three strategies to operationalize large-scale browser automation yourself,and what alternatives exist.
Buy or Build? The Four Roads to Acquiring Web Data
Weighing your options from full control to full service.
Beyond Hello World: The Operational Gaps in LLM-Powered Scraping Tools
The difference between writing a scraper and running a scraping operation
Has Your Google Scraper Stopped Working? Here’s What You Need to Know
Discover how to adapt to Google’s January 2025 SERP changes requiring JavaScript rendering.
Web Data Extract Summit 2024: What Did You Miss?
What did you miss from the sixth Web Data Extract Summit in Austin, TX? Find out business and technical insights from experts in web data extraction.
The 2025 Web Scraping Industry Report
This report examines how data engineers, developers, and industry leaders can navigate shifting challenges by embracing adaptability and staying aligned with constant change.
The 2025 Web Scraping Industry Report - Developers
Learn strategies for industry players to balance innovation, ethics, and operational excellence in a rapidly evolving data landscape.
The 2025 Web Scraping Industry Report - Industry Players
This report helps business leaders and data buyers validate ROI from purchased data by aligning decisions with their stage in the data journey—exploration, discovery, or definition.
Designing a fair and predictable pricing model for Web Scraping APIs
Discover how Zyte practices performance-based pricing and a customer-first approach to reshape web data extraction services.
Proxy-Shopping Primer: Datacenter Proxies and Beyond
Datacenter proxy is a proxy management system built on top of a pool of datacenter IPs used for web scraping.