Scrapy - Web Scraping Framework
What is Scrapy?
Scrapy is a powerful open-source framework for web scraping written in Python, created in 2008. It enables automated data collection from websites, JavaScript handling, session management and scalable processing of millions of pages.
Advantages of Scrapy in business projects
Why does Scrapy dominate enterprise web scraping? Here are the main advantages of the framework used by the largest tech companies
Drawbacks of Scrapy - honest assessment
When can Scrapy be too complex? Framework limitations and ways to solve them in real projects
What is Scrapy used for?
Main applications of Scrapy in 2025 with examples from the largest e-commerce platforms and our projects
E-commerce and price monitoring
Automated competitive price tracking, product availability, market analysis. Monitoring offers, promotions and new products.
Booking.com hotel pricing, Amazon price tracking, Zalando stock monitoring
News aggregation and social media monitoring
Collecting articles from news portals, sentiment analysis, social media monitoring. RSS feeds, content curation.
Google News aggregation, PR media monitoring, brand sentiment analysis
Lead generation and prospecting
Automated collection of company contact data, LinkedIn profiles, potential customer information. B2B database building.
Sales prospecting tools, contractor databases, professional network analysis
Research and data analysis
Collecting data for scientific analysis, market research, competitive intelligence. Academic research, business intelligence.
Academic paper analysis, patent research, market trend analysis
Scrapy projects - SoftwareLogic.co
Our Scrapy systems in production - price monitoring, data extraction, enterprise crawlers
Sales data web scraping automation
Sales team was losing dozens of hours monthly on manual lead data collection from various platforms
We designed automated web scrapers continuously gathering current lead data from B2B platforms
Elimination of 40 hours of manual work monthly, team focus on lead qualification instead of data collection
FAQ: Scrapy - frequently asked questions
Complete answers to questions about Scrapy - from web scraping basics to deployment, scaling and legal aspects.