Zyte is a full-stack web scraping API and data extraction platform that automates data collection from websites by handling anti-bot measures, proxies, and AI-powered parsing.
Zyte API forms the core, providing automatic unblocking through proxy rotation, session management, and fingerprint masking. It supports JavaScript rendering via headless browsers and extracts structured data using AI without manual selectors. The platform processes requests in real time, adapting to site defenses with over 320,000 tactics. Integration occurs via HTTP requests or SDKs for Python, Node.js, and others, with responses in JSON format including HTML, extracted items, and metadata.
Managed Data services allow Zyte to build and maintain custom data feeds, incorporating AI for rapid site onboarding and human oversight for accuracy. It covers data types such as product details from e-commerce, job postings, news articles, real estate listings, and business locations. Compliance features ensure adherence to legal standards, including robots.txt respect and rate limiting. Scrapy Cloud hosts and scales Scrapy spiders with elastic pricing, offering dashboards for monitoring and automation.
Competitors include Apify, which emphasizes actor-based scraping for versatility, and ScrapingBee, focused on simple API calls. Zyte’s per-website pricing model charges based on difficulty and success, generally more affordable for variable loads than fixed plans in Oxylabs. Users appreciate the high success rates on complex sites but note potential higher costs for intensive use and a moderate learning curve for advanced configurations.
Key features like Auto Crawling enable quick extraction of product data using pre-built smart spiders. The platform supports large-scale operations with low latency and integrates with tools like Spidermon for monitoring.
Test Zyte on small projects using the free playground to evaluate fit before committing to larger scrapes.