01
Structured Content Extraction
The need to extract specific content—job roles, case studies, services, pricing—from competitor and industry websites.
With vast amounts of unstructured web data available, businesses need efficient tools to extract relevant information at scale. Apptware developed Quantum Minds, an internal solution that combines open-source tools and AI models to automate competitor research, trend analysis, and structured data extraction for faster decision-making.
THE CHALLENGE
Competitor and industry research relied on slow, manual scraping that broke against inconsistent page structures—leaving raw, unstructured data with no easy path to meaningful, decision-ready summaries.
01
The need to extract specific content—job roles, case studies, services, pricing—from competitor and industry websites.
02
Manual scraping limitations and browser restrictions slowed research down.
03
High variation in web page structures and formats across target sites.
04
The challenge of converting unstructured scraped data into meaningful summaries.

THE SOLUTION
A modular scraping pipeline paired with OpenAI-powered summarisation, built for reliability across dozens of unpredictable websites.
01
Developed using Crawlee, an open-source scraping framework that works across dynamic websites. Built modular crawlers that could be pointed at different domains and adjusted for page structure variations.
02
Implemented scheduling and batch processing of URL lists via Node.js. Added rate-limiting, proxy rotation, and error recovery to ensure reliability. Optimised concurrent job execution for faster, scalable scraping workflows.
03
Once scraped, the raw HTML and text content were passed to OpenAI's LLM to summarise, classify, and tag the information, converting large content blocks into structured, actionable insights for downstream analysis.



Results
Reduced the time for competitor analysis from days to hours.
Easily adapted to target dozens of websites simultaneously.
Summaries were concise, context-aware, and ready for internal use without manual editing.
Used by business development, marketing, and leadership teams to support strategy discussions.
Conclusion
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