
Gulbahar Karatas
Gülbahar is an AIMultiple industry analyst focused on web data collection, applications of web data and application security.
Professional experience
She previously worked as a marketer in U.S. Commercial Service.
Research interests
She is a frequent user of the products that she researches. For example, she is part of AIMultiple's web data benchmark team that has been annually measuring the performance of top web data infrastructure providers.
Education
Gülbahar has a Bachelor's degree in Business Administration and Management in 9 Eylul University.
Latest Articles from Gulbahar
7 Best Data Pipeline Tools With Key Capabilities
Businesses use a variety of data sources, including internal sources (e.g., CRM, ERP), external sources (e.g., social media platforms), and third-party web analytics services ( e.g., Google Analytics). Through the diversity of data sources, businesses use different technologies to capture data from their sources such as web scraping tools and browser fingerprinting technologies.
10+ Best Paid & Free Web Scraping Tools
Some web scraping tools are completely free, great for beginners and small projects, while others are paid platforms designed for scalability, automation, and enterprise-grade reliability.
Top 5 Web Scraping Case Studies & Success Stories
The web contains valuable insights for vendors, businesses, and consumers. Web scraping tools enable businesses to extract web data from various sources to make the most of web data. Web scraping has a wide range of applications in various industries; however, using the technology in the right way is important to achieve value from it.
Browser Fingerprinting: Techniques, Use Cases & Best Practices
Browser fingerprinting is one of the user identification methods used by websites for various purposes, such as web personalization, fraud detection, targeted advertising.
7 Web Scraping Best Practices You Must Be Aware of
Many websites actively try to prevent or limit web scraping to protect their data. When planning a web scraping project, it’s important to balance technical, financial, and legal factors. See the top web scraping best practices for an ethical and successful web scraping: 1.
Firewall vs Proxy Firewall: Key Differences in Network Security
Both firewalls and proxy servers secure and manage network traffic, but their functions differ. Firewalls protect systems from malicious traffic and unauthorized access, while proxy servers manage client requests and ensure privacy. This article explores the key differences between firewalls and proxy servers, highlighting their distinct roles in securing and managing network traffic.
Proxy Server Types by Network, Cost, and Anonymity
There are different types of proxy servers, varying by source and price. The most common are residential and datacenter proxies. Proxies can also be classified by network type (mobile, ISP), anonymity (transparent, anonymous, elite), access level (shared, semi-dedicated, dedicated), rotation (static, rotating), or cost (free, paid).
Scraping Google Trends for Real-Time Insights
Google Trends is an excellent tool for businesses and content creators who want to stay ahead of customer behavior, spot emerging trends, and make data-driven decisions. This guide explains what Google Trends data is, the legality of scraping Google Trends, and use cases for leveraging Google Trends data.
The Best 6 Dedicated Proxy Services
Dedicated proxies are faster and more reliable than shared proxies. Most proxy providers don’t offer dedicated residential proxies since acquiring truly exclusive residential IP is expensive and legally cumbersome. Based on our experience, we ranked the best dedicated proxy solutions: The best dedicated proxy providers for 2025 *The starting price is for dedicated datacenter proxies.
How to Scrape Reviews for Free Using Python (No APIs)
This article shows how I scraped reviews from Google Play, Yelp, and Trustpilot using Python. Each platform required a different method: Learn how to handle anti-detection, parse customer review data, and save the scraped data in CSV, JSON, or export to a database like Google Sheets for data analysis.
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