Our most valued customer solveonline.com
Extract data from public websites for the https://studentwallet.org/
app to showcase various scholarships details data.
Product and Client
Discover how our powerful data scraping solution was tailored to meet the unique needs of our client. This section highlights the client’s business, the challenges they faced, and how our product fit seamlessly into their workflow to deliver actionable results.
- Understanding the Client’s Needs
We begin by introducing the client — their industry, goals, and specific data requirements. This helps set the context for why they needed a data scraping solution and what kind of insights they were aiming to gain. - Tailoring the Product to Fit
We explain how our data scraping product was customized to match those needs — whether it was automating data collection, handling large datasets, or providing clean, structured output.
1 day
Project Kick Off
+96
New Promoter Score
98%
New Promoter Score
180K
Web Sources
Jyaba’s Role
Discover how our powerful data scraping solution was tailored to meet the unique needs of our client. This section highlights the client’s business, the challenges they faced, and how our product fit seamlessly into their workflow to deliver actionable results.
- Jyaba worked closely with the client to understand their specific data needs, what to scrape, from where, and how frequently. Based on this, they devised a scraping strategy that aligned with the client’s objectives and industry constraints.
- They implemented monitoring tools to detect changes in source websites, handle CAPTCHAs, and manage potential IP blocking issues. Jyaba ensured the client consistently received high-quality, accurate data with minimal downtime.
- Jyaba developed a scalable scraping system capable of collecting large volumes of structured and unstructured data. This involved writing custom scripts, setting up automated pipelines, and ensuring the data was clean, reliable, and easy to integrate into the client’s systems.
Challenges
Discover how our powerful data scraping solution was tailored to meet the unique needs of our client. This section highlights the client’s business, the challenges they faced, and how our product fit seamlessly into their workflow to deliver actionable results.
- Dynamic and JavaScript-Heavy
Websites Many target websites used dynamic content loading and JavaScript rendering, which made traditional scraping difficult. Jyaba had to use headless browsers and rendering engines to access and extract the required data. - Frequent Website Structure
Changes Some websites frequently updated their layouts or class names, breaking the scrapers. Jyaba built adaptive scraping logic and alert systems to quickly detect and respond to such changes. - Handling and Organizing Large Volumes of Data
Managing, cleaning, and storing massive datasets in a structured, ready-to-use format required robust data pipelines and quality control mechanisms — which Jyaba successfully implemented
Technologies Used
