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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.

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.

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.

DataApr 29

Web Scraping Craigslist: Best Craigslist Scrapers

Craigslist’s page structure has stayed largely unchanged for years, simple, mostly static HTML with minimal JavaScript and few anti-bot defenses. To see how well scrapers handle that simplicity, we ran 500 Craigslist job postings through 5 providers, totaling 2,500 requests, and measured each one’s success rate and completion time.

DataApr 28

Best Zillow Scraper APIs Compared: Performance review

We benchmarked best five web scraping providers on Zillow, one of the top real estate domains, running over 1,250 scrape requests across all providers. Each provider received an identical set of property listing URLs and was evaluated on completion time, success rate, and the number of structured data fields returned per listing.

AIApr 24

Vision Language Models Compared to Image Recognition

Can advanced Vision Language Models (VLMs) replace traditional image recognition models? To find out, we benchmarked 16 leading models across three paradigms: traditional CNNs (ResNet, EfficientNet), VLMs ( such as GPT-4.1, Gemini 2.5), and Cloud APIs (AWS, Google, Azure).

DataApr 10

2026 Web Crawler Benchmark to Feed Websites to AI

We benchmarked four crawl APIs across three domains of varying difficulty at three max depth levels (5, 10, 20) with a 1,000-page limit, measuring crawl coverage, execution time, link discovery, markdown link quality, and title extraction accuracy. If you aim to: Web crawlers benchmark You can read our benchmark methodology.

AIJan 28

AI Hallucination Detection Tools: W&B Weave & Comet

We benchmarked three hallucination detection tools: Weights & Biases (W&B) Weave HallucinationFree Scorer, Arize Phoenix HallucinationEvaluator, and Comet Opik Hallucination Metric, across 100 test cases. Each tool was evaluated on accuracy, precision, recall, and latency to provide a fair comparison of their real-world performance.