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Gulbahar Karatas

Gulbahar Karatas

Industry Analyst
91 Articles
Stay up-to-date on B2B Tech

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

DataApr 17

Best Video Proxies for Video & Image Extraction

High latency, bandwidth bottlenecks, and aggressive IP blocking make video data extraction one of the most challenging tasks. A standard proxy setup often can’t keep up with the advanced anti-bot measures used to protect streaming content.

DataApr 15

How to Setup & Turn Off iPhone Proxy

Configuring iPhone proxy settings lets you manage network traffic and enhance privacy at the system level for any Wi-Fi connection. Whether you need to setup an HTTP proxy for professional use or you are looking for a way to turn off proxy settings iPhone is stuck on to fix connectivity issues, this guide provides the steps for iOS and iPadOS.

DataApr 15

Oxylabs vs Bright Data: Pricing & Benchmark Comparison

Oxylabs and Bright Data are two of the largest proxy providers used for large-scale web scraping and automation.

DataApr 14

Best Indeed Dataset Providers: Official APIs vs Third-Party Vendors

For getting Indeed data, the market breaks down into three options: do-it-yourself scraping infrastructure, more flexible infrastructure, or managed third-party datasets. Each option comes with different tradeoffs around speed, coverage, reliability, maintenance, and control.

DataApr 8

Top 10 E-Commerce Scrapers in 2026: Benchmarked & Tested

Many e-commerce sites today are JavaScript-rendered, have anti-bot protections, and use regional versions (different domains, currencies). We benchmarked the leading scrapers across 1,700 URLs (including Amazon & Walmart) to measure speed, data accuracy, and cost.

DataApr 7

Top 6 LLM Scrapers in 2026

We ran a benchmark to compare how top LLM scraper providers like Bright Data, Oxylabs, and Apify perform with models such as ChatGPT, Gemini, Perplexity, and Google AI Mode. To ensure reliable results, we ran 1,000 tests per provider with each prompt repeated 10 times for consistency. The top-performing provider is detailed below.

DataMar 30

Benchmarked the Top 5 Web Walmart Scrapers

We benchmarked the top Walmart scraper APIs to understand how they perform under real scraping workloads. Our test included 200 Walmart URLs from both product and search pages, with two request batches per URL, for a total of 2,000 requests across all providers.

DataMar 27

Best Glassdoor Datasets in 2026

Glassdoor datasets offer useful insights into job listings, employer reviews, and salaries, but they are not the exclusive source of labor-market or employer-brand data. We review the four top providers of Glassdoor datasets: Bright Data, Coresignal, Oxylabs, and Actowiz. Our evaluation covers each provider’s dataset structure, extraction techniques, update schedules, delivery options, and pricing models.

DataMar 25

Decodo Review: How It Performed in Our Tests

We examined Decodo in our benchmark suite across proxy servers and scraping categories. Our data suggest that Decodo is strongest in residential proxies, where it stands out for pricing efficiency, and it remains highly competitive in mobile proxies.

Enterprise SoftwareMar 24

Best Website Change Monitoring Tools

Monitoring website changes enables businesses and individuals to stay informed about the updates on e-commerce websites and address any website problems. Recently, AI-powered monitoring has become a key trend, enabling tools to automatically summarize changes, filter noise, and prioritize critical updates using machine learning models.

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