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AI & Automation
Zyte
Zyte logo
AI & Automation

Zyte

Zyte is an AI-powered web data extraction platform that helps businesses collect, structure, and analyze publicly available web data at scale. Formerly known as Scrapinghub, the company provides automated solutions for turning unstructured web content into clean, actionable datasets. The platform serves data scientists, market researchers, e-commerce analysts, and enterprise teams who need reliable access to web data without managing complex infrastructure. Zyte solves problems related to anti-bot detection, IP blocking, JavaScript rendering, and data quality consistency. It positions itself as an end-to-end solution that handles the entire data extraction pipeline from crawling and parsing to data delivery and monitoring. The platform uses machine learning and AI to adapt to website changes and maintain extraction accuracy over time. Users can extract product information, pricing data, news articles, reviews, and other structured content from millions of websites globally.

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📊 At a Glance

Pricing
Paid
Reviews
No reviews
Traffic
≈150K-200K visits/month (public web traffic estimate, 2024)
Engagement
0🔥
0👁️
Categories
AI & Automation
General Tools

Key Features

Automatic Extraction

Uses machine learning to automatically identify and extract structured data from web pages without manual rule configuration. The system learns from examples and adapts to website changes over time.

Smart Proxy Manager

Intelligent proxy rotation system that automatically selects optimal proxies based on target website, geographic requirements, and success rates to avoid IP blocking.

JavaScript Rendering

Full browser automation that executes JavaScript and renders dynamic content before extraction, ensuring complete access to modern web applications.

Data Pipeline Automation

End-to-end workflow automation that handles scheduling, monitoring, error recovery, and data delivery without manual intervention.

Extract API

REST API that accepts URLs and returns structured data in JSON format, handling all extraction complexity including proxies, rendering, and parsing.

Pricing

Pay As You Go

usage-based
  • ✓Pay per successful page extract
  • ✓Access to basic extraction API
  • ✓Standard proxy rotation
  • ✓Basic support via email
  • ✓No monthly commitment required

Business

custom pricing
  • ✓Higher volume discounts
  • ✓Priority support
  • ✓Advanced extraction features
  • ✓Custom concurrency limits
  • ✓SLA guarantees
  • ✓Dedicated account management available

Enterprise

contact sales
  • ✓Custom deployment options
  • ✓Dedicated infrastructure
  • ✓Enterprise-grade SLAs
  • ✓Custom data delivery integrations
  • ✓Advanced security and compliance features
  • ✓24/7 premium support
  • ✓Custom extraction rule development

Traffic & Awareness

Monthly Visits
≈150K-200K visits/month (public web traffic estimate, 2024)
Global Rank
##150,000-200,000 global rank by traffic (Similarweb estimate)
Bounce Rate
≈45% (Similarweb estimate, 2024)
Avg. Duration
≈00:03:45 per visit (Similarweb estimate, 2024)

Use Cases

1

Price Intelligence and Monitoring

E-commerce companies and retailers use Zyte to monitor competitor pricing across thousands of products daily. They extract price data, availability, and promotional information to optimize their own pricing strategies. This enables dynamic pricing adjustments, identification of market trends, and maintenance of competitive positioning in real-time markets.

2

Market Research and Sentiment Analysis

Market research firms extract customer reviews, social media mentions, and news articles to analyze brand sentiment and market trends. They process large volumes of unstructured text data to identify emerging patterns, consumer preferences, and competitive intelligence. This data drives strategic decisions and helps clients understand their market position.

3

Lead Generation and Business Intelligence

Sales and marketing teams extract contact information, company details, and professional profiles from business directories and professional networks. They build targeted prospect lists enriched with firmographic data to improve outreach effectiveness. This automation replaces manual research and ensures data freshness for sales campaigns.

4

Content Aggregation and News Monitoring

Media companies and financial institutions monitor news sources, blogs, and publications for relevant content. They extract articles, analyze trends, and aggregate information for internal research or customer-facing products. This enables real-time news alerts, competitive analysis, and comprehensive market coverage across multiple sources.

5

Real Estate and Property Data Collection

Real estate platforms extract property listings, pricing history, neighborhood information, and market statistics from multiple sources. They consolidate fragmented data to provide comprehensive property databases for buyers, sellers, and investors. This supports valuation models, market analysis, and property search functionality on their platforms.

How to Use

  1. Step 1: Sign up for a Zyte account on their website and choose a pricing plan based on your expected data extraction volume and feature needs.
  2. Step 2: Access the Zyte dashboard and configure your extraction project by specifying target URLs, defining the data schema (what fields to extract), and setting up authentication if needed for target sites.
  3. Step 3: Use Zyte's automatic extraction tools or custom extraction rules to define how data should be parsed from web pages, including handling pagination, infinite scroll, and JavaScript-rendered content.
  4. Step 4: Schedule your extraction jobs (one-time or recurring) and configure delivery methods such as API endpoints, webhooks, cloud storage (S3, Google Cloud), or direct database integration.
  5. Step 5: Monitor extraction jobs through the dashboard, review extracted data quality, and set up alerts for failures or data anomalies that require attention.
  6. Step 6: Integrate the extracted data into your business systems using Zyte's API, webhook notifications, or scheduled exports to cloud storage for further processing.
  7. Step 7: Use Zyte's data quality tools to validate and clean extracted data, applying transformations or enrichment as needed before consumption.
  8. Step 8: Scale your extraction operations by adding more websites, increasing concurrency, or using Zyte's managed proxy rotation and anti-blocking features to maintain reliable access.

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At a Glance

Pricing Model
Paid
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