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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.
by Theresia Tanzil
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Claude Sonnet 4.6 is the new best model for writing scrapers

by Konstantin Lopukhin
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Sun, sea and code: What we built at Zyte’s API hackathon

by Robert Andrews
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Electric cars and the journey to the future of web data

by Iain Lennon

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Leadership

Building solidarity and strategy at Zyte’s global meet-up

How 180 Zytans from 28 countries came together to plan the future, build relationships and learn from customers.
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Hybrid scraping: The architecture for the modern web

Learn how hybrid scraping combines headless browsers and lightweight HTTP clients to bypass JavaScript challenges efficiently. Reduce RAM usage, improve speed, and scale your web scraping pipelines with session reuse and TLS fingerprinting
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Your business doesn’t care about scraping - it cares about data

Manual web scraping isn’t the competitive advantage it used to be. Learn why shifting to a scraping API helps engineers reclaim time, reduce maintenance, and focus on delivering reliable data.
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Use case

Scraping Swiss Army Knife: My personal fix for web setup fatigue using Docker, Scrapy and Zyte

Tired of repeating web scraping setup? Learn how a multi-arch Docker container with Scrapy, Zyte, Requests, and Pandas speeds up exploration and debugging.
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Use case

How I trade gold using e-ink, live data and an old Raspberry Pi

Track real-world gold and silver retail prices automatically using Zyte API, Python, and a Raspberry Pi with an e-ink display. Learn how to scrape rendered HTML, parse prices, and build an always-on trading dashboard.
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Use case

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.
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Use case

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.
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Use case

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

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

The future I dreamed of is dawning

Zyte's CEO Shane Evans shares a 15-year vision for effortless, AI-driven web data extraction and introduces the 2026 Web Scraping Industry Report with 26 actionable insights.
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Open Source

Scrapy in 2026: New release brings modern async crawling standards

Scrapy 2.14.0 is released with a major under-the-hood modernization. Say goodbye to Twisted Deferreds.
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Building blocks of a web scraping business

Why most web scraping startups fail—and how to build one that scales. Learn real unit economics, proxy costs, margins, and a path to SaaS-level profitability.
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Data in 2026: Bets and forecasts from web experts

What will 2026 have in store for the world of web data? We asked eight experts for their predictions.
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