Theresia Tanzil

Theresia is a web scraping strategist who enjoys weaving data engineering, business strategy, and digital anthropology into stories.

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The latest from Theresia Tanzil

The great wall of data: The complexities of web scraping in the Asian market

Actually, web scraping APIs are cheaper

The science of compliance: Tech tips for a legal data pipeline

Web scraping APIs vs proxies: A head-to-head comparison

Legal clarity comes with compliance demands

Brand visibility in the digital era: How web data help brands see the full picture

Web traffic is splintering into access lanes

How online retailers use web data to compete on price, promotion, and availability

Automation drives power in the data arms race

How web data turns e-commerce listings into retail intelligence

Dawn of the autonomous data pipeline

AI is the new engine for web scraping

Is your AI coding assistant stuck in the past?

Data outcomes are top of the scraping stack

Beyond text: Unlocking value on the multimedia web

Teaching AI to scrape like a pro: how we measure LLMs’ data quality

Web data for business insights in 2026: Elevate your BI function with quality data

Web data for scraping developers in 2026: AI fuels the agentic future

Web data for engineering leaders in 2026: Scale scraping without scaling headcount

The new economics of web data: Smaller scraping just got cheaper

How to Plan Your Web Scraping Project Like a Product Manager

The DQ playbook: How ‘data quality’ fuels business’ pursuit of precision

How price extraction is fuelling insights for modern retailers

Four sweet spots for AI in web scraping

From script to system: 10 building blocks to scale web scraping

Quality, focus and scale: Three ways data outsourcing benefits businesses

What’s your data type? Solving the procurement problem

The rise of Scrapy: How an open-source scraping framework conquered the web

Browser bother: Three painkillers for headless scraping headaches

Buy or Build? The Four Roads to Acquiring Web Data

Beyond Hello World: The Operational Gaps in LLM-Powered Scraping Tools

Has Your Google Scraper Stopped Working? Here’s What You Need to Know

Web Data Extract Summit 2024: What Did You Miss?

Designing a fair and predictable pricing model for Web Scraping APIs

While the technological arms race of web data access is universal, the battleground in Asia has its own unique rules of engagement.

Many data teams still think running a proxy-based scraping stack is most cost-effective. Industry pressures and our research disprove that idea.

New legal and regulatory compulsions for web data have significant business consequences. So, how can technologists engineer their company’s risk profile lower?

Proxies are essential to scraping at scale. So, how do full-stack web scraping APIs compare?

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.

Discover how web data helps brands improve visibility, track competitors, monitor availability, and analyze reviews to win on the digital shelf.

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.