Data quality
Articles from the Zyte blog about Data quality.
Stopping a crawl when the data stops looking real with Jev
A Scrapy pipeline that asks a fast, calibrated AI model whether each scraped field still looks real, and stops the crawl when too many don't. What it caught, what it misses, and whether building it was worth it.
The harness matters more than the model - Podcast EP07
"The model is the engine — but the harness is everything else." In Episode 7, we dig into why the infrastructure layer around your AI model matters more than the model itself, rank the best models available right now, and ask whether the open-weighted revolution is about to make frontier subscriptions obsolete.
AI won’t fix your data quality (until you answer these three questions)
In our interview, a QA expert warns - before you delegate web scraping quality assurance to AI, make sure you can describe what ‘good’ looks like for yourself.
How to ensure data quality in your Scrapy web scraping projects using Spidermon and Claude Code
Spidermon is an open-source monitoring framework for Scrapy. You attach it to your spider, define what "success" looks like, and it automatically checks your crawl results after the spider closes, flagging anything that doesn't meet your standards.
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.
Claude Sonnet 4.6 is the new best model for writing scrapers
Claude Sonnet 4.6 is now the top model in Zyte’s Web Scraping Copilot benchmark, narrowly beating Gemini 3 Pro on extraction quality, with a small increase in code complexity.
Gemini 3.0 Pro is the new best model for writing scrapers
Gemini 3.0 Pro outperforms GPT-5, Claude, and other leading LLMs in Zyte’s Web Scraping Copilot benchmarks, delivering the highest code accuracy and lowest complexity. See full results, pros, cons, and recommendations for production workflows.
How Zyte’s extraction experts guarantee data quality
Ensuring web data quality at scale means moving beyond fragile scripts and spot checks to robust validation that keeps business decisions accurate and reliable.
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 Session Management Minimizes Bans and Enhances Data Quality in Web Scraping
Learn how managing user sessions in web scraping can help overcome website bans, handle IP rate limits, streamline cookie management, and avoid detection.
Scraped Data Quality
Making sure your web data is trustworthy when web scraping at scale is incredibly important, so one of the defining success factors is a comprehensive quality assurance (QA) process.
Article data extraction | How to Maximize Quality
Learn how different tools are used to maximize the quality of your news and article data extraction. Understand why it's important and how to scale extraction.