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Nazlı Şipi

Nazlı Şipi

AI Researcher
30 Articles
Stay up-to-date on B2B Tech
Nazlı is a data analyst at AIMultiple. She has prior experience in data analysis across various industries, where she worked on transforming complex datasets into actionable insights.

She is also part of the benchmark team, focusing on large language models (LLMs), AI agents, and agentic frameworks.

Nazlı holds a Master’s degree in Business Analytics from the University of Denver.

Latest Articles from Nazlı

DataMay 14

Best Glassdoor Scrapers: Bright Data, Oxylabs & Decodo

To compare how well different tools handle Glassdoor‘s CAPTCHAs, login overlays, and frequent layout changes, we tested 5 leading web data scrapers across 2,500 requests and tracked each provider’s success rate, completion time, and metadata coverage. Glassdoor scraping benchmark results You can read our benchmark methodology for more details on our testing process.

DataMay 14

Top 5 Job Posting Scraper APIs Compared

We benchmarked 5 leading web scraping providers across 5 major job platforms by running 12,500 requests in total, then measured each provider’s success rate, completion time, and metadata output.

AIMay 7

Compare Multimodal AI Models on Visual Reasoning

We benchmarked 15 leading multimodal AI models on visual reasoning using 200 visual-based questions. The evaluation consisted of two tracks: 100 chart understanding questions testing data visualization interpretation, and 100 visual logic questions assessing pattern recognition and spatial reasoning. Each question was run 5 times to ensure consistent and reliable results.

DataMay 7

Review Scraping Benchmark: Bright Data, Oxylabs & Decodo

We tested 5 web scraping providers across 5 major review platforms for a total of 12,500 requests, and measured success rate, completion time, and metadata fields. Review scraping benchmark You can read benchmark methodology section for more details on the testing process.

Agentic AIMay 7

Multi-Agent Frameworks: Challenges & Strengths

Multi-agent systems use specialized agents working together to solve complex tasks. A key challenge: does performance degrade as more agents and tools are added, or can orchestration mechanisms handle the growing complexity efficiently? We benchmarked 5 agentic frameworks across 750 runs with three tasks.

Agentic AIMay 7

Benchmarking Agentic AI Frameworks in Analytics Workflows

Frameworks for building agentic workflows differ substantially in how they handle decisions and errors, yet their performance on imperfect real-world data remains largely untested.

DataMay 7

6 Best Google Reviews Scraping Providers Compared

To test how web scraping providers handle Google review extraction, we ran 2,500 requests across 5 providers on 500 Google Maps business URLs, and measured success rate, completion time, and metadata output. Google Maps reviews scraping benchmark You can read benchmark methodology for more details on testing process.

DataMay 7

5 Best Tripadvisor Reviews Scraping APIs

We benchmarked 4 web scraping providers on Tripadvisor review pages with 2,000 total requests, measuring success rate, completion time, and data extraction quality. Tripadvisor reviews benchmark You can read more about our Tripadvisor benchmark methodology.

DataMay 7

Benchmarked the Top 5 Yelp Reviews Scrapers

To benchmark Yelp review extraction, we sent 500 business page URLs to 5 web scraping providers, generating 2,500 total requests, and compared their success rate, completion time, and metadata output. Yelp reviews scraping benchmark You can read benchmark methodology for more details on testing process.

DataMay 7

Top 6 Best Real Estate Scrapers: Bright Data, Apify & Oxylabs

We benchmarked six web scraping providers across five major real estate domains, running 1,500 property listing URLs through each provider for a total of 9,000 requests. Real estate scraping benchmark results See the methodology section for more details on the testing process.