Learn web scraping
Guides, tutorials and courses on web scraping and data extraction — from your first request to production pipelines.

The 2025 Web Scraping Industry Report - Business Leaders
This report explores how industry players can balance ethical compliance and operational excellence to build trust and achieve sustainable growth in the AI era.

Building a Web Crawler in Python
Learn to build a Python web crawler using libraries like BeautifulSoup, Requests, Scrapy, and Selenium.

Using Data Extraction Tools for Efficient Website Scraping
Using data extraction tools makes web scraping challenges possible to overcome. Explore more in this article.

Best web scraping services in 2026: managed data providers compared
When choosing the best programming language for web scraping, several factors must be considered: ease of use, library support, performance, community size, and flexibility in handling various types of web content.

Large Scale Web Scraping with Python
Find out how Python, with its rich ecosystem of libraries like BeautifulSoup, Scrapy, and Selenium, has become a popular choice for large-scale web scraping.

Screen Scraping Explained: How It Works and Why It Matters
Combining screen scraping with traditional web scraping tools like Zyte API can be highly effective for complex data extraction.

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.

Guide to Web Scraping APIs: Key Features and Benefits
A web scraping API is a full-stack tool designed to automate the collection of data from websites, from managing proxies to extracting data.

Seamlessly Transition from Zenrows to Zyte API
If you're currently using Zenrows, we understand the importance of a smooth transition to a new platform. That's why we are here to help you migrate seamlessly to Zyte API.

A Guide to Web Scraping With Java
Java is a robust and versatile language that is well-suited for building modern web scraping systems.

Adding AI to the Web Scraping Tech Stack
AI is effective for helping teams scale up the creation and maintenance of web crawlers and extractors making it easy to add new sources to solve additional business cases.

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.