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Gulbahar Karatas

Gulbahar Karatas

Analista di settore
91 Articoli
Rimani aggiornato sulle novità tecnologiche B2B.

Gülbahar è un analista di settore di AIMultiple specializzato nella raccolta di dati web, nelle applicazioni dei dati web e nella sicurezza delle applicazioni.

Esperienza professionale

In precedenza ha lavorato come responsabile marketing presso il Servizio Commerciale degli Stati Uniti.

Interessi di ricerca

Utilizza frequentemente i prodotti che analizza. Ad esempio, fa parte del team di benchmarking dei dati web di AIMultiple, che misura annualmente le prestazioni dei principali fornitori di infrastrutture per dati web.

Preparazione

Gülbahar ha conseguito una laurea in Economia e Gestione Aziendale presso l'Università 9 Eylul.

Ultimi articoli di Gulbahar

DatiApr 17

Migliori Proxy Video per l'Estrazione di Video e Immagini

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.

DatiApr 15

iPhone Proxy'si Nasıl Kurulur ve Kapatılır

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.

DatiApr 15

Oxylabs vs Bright Data: Confronto Prezzi e Benchmark

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

DatiApr 14

En İyi Indeed Veri Seti Sağlayıcıları: Resmi APIler ile Üçüncü Taraf Satıcılar

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.

DatiApr 8

I 10 migliori scraper per e-commerce: Confrontati e Testati

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.

DatiApr 7

I 6 principali LLM Scrapers

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.

DatiMar 30

Confrontati i 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.

DatiMar 27

En İyi Glassdoor Veri Setleri

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.

DatiMar 25

Decodo İncelemesi: Testlerimizde Nasıl Performans Gösterdi

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.

Software aziendaleMar 24

Migliori strumenti di monitoraggio delle modifiche ai siti web

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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