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Gulbahar Karatas

Gulbahar Karatas

Branchenanalyst
91 Artikel
Bleiben Sie über B2B-Technologie auf dem Laufenden

Gülbahar ist eine KI-Branchenanalystin bei AIMultiple mit Schwerpunkt auf Webdatenerfassung, Anwendungen von Webdaten und Anwendungssicherheit.

Berufserfahrung

Zuvor war sie als Marketingfachfrau im US-Handelsministerium tätig.

Forschungsschwerpunkte

Sie nutzt die Produkte, die sie untersucht, regelmäßig. Beispielsweise ist sie Mitglied des Webdaten-Benchmark-Teams von AIMultiple, das jährlich die Leistung führender Anbieter von Webdateninfrastruktur misst.

Ausbildung

Gülbahar besitzt einen Bachelor-Abschluss in Betriebswirtschaftslehre und Management von der 9 Eylül Universität.

Neueste Artikel von Gulbahar

DatenApr 17

Beste Video-Proxies für die Extraktion von Video- und Bilddaten

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.

DatenApr 15

So richten Sie ein und deaktivieren Sie den 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.

DatenApr 15

Oxylabs vs Bright Data: Preisgestaltung & Benchmark-Vergleich

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

DatenApr 14

Beste Anbieter von Indeed-Datensätzen: Offizielle APIs im Vergleich zu Drittanbietern

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.

DatenApr 8

Top 10 E-Commerce-Scraper: Benchmark & Test

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.

DatenApr 7

Top 6 LLM Scraper

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.

DatenMär 30

Die Top 5 Walmart-Web-Scraper im Benchmark getestet

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.

DatenMär 27

Beste Glassdoor-Datensätze

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.

DatenMär 25

Decodo Review: Wie es in unseren Tests abgeschnitten hat

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.

UnternehmenssoftwareMär 24

Beste Tools zur Überwachung von Website-Änderungen

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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