Tutorial
Articles from the Zyte blog in Tutorial.
OpenClaw and Claude helped me buy the perfect sneakers using Zyte API
Quickly compare e-commerce products across any site with an agent, a skill and an AI-powered web scraping API.
Giving spidey-senses to your web scraping spiders using Spidermon
Learn how Spidermon helps you monitor web scraping data quality in real time. Validate items, track field coverage, and get alerts before bad data impacts your pipeline.
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.
Why your API responses look like gibberish: the gzip decompression trap
The script was working. Requests were going out, responses were coming back with HTTP 200. But the response body was unreadable noise, a wall of binary characters that crashed the JSON parser and reported "no data found". No error code, no timeout, no network failure; just garbage where structured data should be.
How to parse HTML tables into structured data (CSV/Excel)
In this guide, you'll learn three things: how HTML tables are actually structured (so the parsing makes sense), how to extract clean tabular data using Python, and how to export it to CSV or Excel
Stop using Python requests for web scraping: Use these modern modules instead
While the 'Requests' library remains the default choice for many Python developers due to its reliability and extensive documentation, the Python HTTP landscape has evolved considerably. Modern alternatives now offer significant advantages, including built-in asynchronous support, HTTP/2 compatibility, enhanced performance, and up-to-date TLS handling.
Brewing a bot: RAG and web data fuel the perfect coffee recommendation
Learn how to build a real-time AI chatbot using RAG, web scraping, Zyte API, LangChain, and OpenAI. Scrape JavaScript-heavy websites, store data in a vector database, and generate accurate answers from fresh web data.
A data scientist's guide to stress-free product scraping
As a data scientist, your job is to find patterns, build models, and generate insights. To do that, you first need to reliably acquire web data. Competitor pricing, product specifications, consumer reviews - you name it, data scientists need it.
Why Python Requests gets "403 Forbidden"
If you’ve had your HTTP request blocked regardless of using correct headers, cookies, and good IPs, there’s a chance you are running into one of the simplest forms of blocking, and one of the most confusing for beginners.
Why pagination logic becomes operational debt at SERP scale
SERP pagination becomes brittle and expensive at scale. Learn why retries, deduplication, and ordering logic turn into operational debt over time.
Why SERP data costs exploded, and why most teams felt it overnight
SERP data costs spiked overnight after bulk access patterns disappeared. Learn what changed, why inefficiency exploded, and what it means for SEO platforms.
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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