Case Studies
See how businesses across industries use DataScrapely to unlock insights, streamline processes, and drive growth. Our case studies highlight real-world applications of web scraping and data intelligence.
📊 Market & Competitor Intelligence – Retail Industry
Challenge: A retail company struggled to keep up with competitor price changes and product launches.
Solution: Using our automated scraping pipelines, they tracked competitors daily across 15+ e-commerce platforms.
Result: They optimized pricing strategy and increased sales margins by 12% within 3 months.
🛒 E-commerce & Price Monitoring – Electronics Sector
Challenge: An online electronics store couldn’t monitor thousands of competitor SKUs manually.
Solution: Our scalable scraping solution delivered daily structured data on product prices, availability, and discounts.
Result: The company improved repricing speed, reduced lost sales, and boosted conversion rates by 18%.
🎯 Lead Generation – B2B SaaS Company
Challenge: A SaaS startup needed fresh, qualified leads for outbound campaigns.
Solution: We extracted company profiles, decision-maker contacts, and job postings across their target industries.
Result: Their sales team tripled outreach efficiency and secured 40% more demos.
🏠 Real Estate Insights – Property Investment Firm
Challenge: The firm lacked up-to-date rental and sales data for new regions.
Solution: Our platform collected listing data, rental averages, and neighborhood trends in real-time.
Result: They identified undervalued areas and achieved 20% higher ROI on investments.
👔 Job Market Analysis – Recruitment Agency
Challenge: The agency needed to spot emerging skill trends and salary benchmarks.
Solution: By scraping job postings across major boards, they tracked demand and pay scales by sector.
Result: They positioned clients more effectively and improved placement success by 25%.
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