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Nazlı Şipi

Nazlı Şipi

AI Researcher
37 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 web data scraping, 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

Data
Benchmark
Oct 13

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. You can read benchmark methodology section for more details on the testing process = supported, returns HTML = supported, returns structured data = no data returned…

Data
Benchmark
Oct 13

We Tested the Best SERP Scraper APIs

We benchmarked 5 SERP providers using 7,000 live requests across Google, Bing, and Yandex. See which providers came out ahead on success rate and speed: Read the full methodology. We also run live requests every 15 min, with caching disabled, a 60s timeout, and 250+ queries across Google, Bing, and Yandex in the United States.…

Data
Benchmark
Oct 13

The Best LinkedIn Scrapers

We benchmarked four LinkedIn scraping APIs with 4,000 requests, sending each provider the same 1,000 LinkedIn post URLs. For every request we measured success rate, completion time, and the number of parsed metadata fields returned. Read our methodology for details about the LinkedIn benchmark. The chart below shows the daily success rate of each LinkedIn…

AI
Benchmark
Oct 13

LLM Latency Benchmark by Use Cases

You can find details on how we measured latency here. We report reasoning and non-reasoning models separately. Reasoning models spend several seconds thinking before the first visible answer, so comparing them directly with non-reasoning models on latency would be misleading. Some models also change behavior by task: GPT-5.2 answers Q&A without reasoning but reasons on…

Data
Benchmark
Oct 12

Top 7 Video Scrapers: Tested & Ranked

We tested the top 7 video scraping providers to see how they handle video metadata on the top video platform, totaling 6,000 requests, and measured their success rate, response time, and metadata fields. To see how we calculated these metrics, read video scraping benchmark methodology. Different providers return different amounts of metadata for the same…

Data
Benchmark
Oct 12

Top 4 Google Play Scraping Providers Compared

We benchmarked four web scraping providers across Google Play product page URLs, sending 4,000 requests in total. For each request, we measured how reliably the provider returned data, how long it took from submission to final response, and how many metadata fields the response contained. Vendors are ranked by the number of structured metadata fields…

Data
Benchmark
Oct 8

Best TikTok Scrapers: Scrape Video Data

A TikTok scraper collects public data from TikTok, including video metadata, profile details, engagement metrics, and comments, without using TikTok’s official API. We tested four web scraping APIs on the same 1,000 TikTok post URLs, for 4,000 requests in total, and measured the success rate and completion time of each. See our methodology for validation…

Data
Benchmark
Oct 8

Best Twitter (X) Scrapers: Benchmarked

We benchmarked four web scraping APIs for Twitter scraping on the same 1,000 X post URLs, for 4,000 requests in total. For every request, we measured success rate and completion time. The fastest provider also had the highest success rate. Zyte completed 99.6% of the 1,000 X post requests at 8 seconds per request. Oxylabs…

Agentic AI
Benchmark
Oct 7

Top 10+ Agentic Orchestration Frameworks & Tools

All frameworks successfully completed the task across 100 run each. However, LangGraph finished 2.2x faster than CrewAI, while LangChain and AutoGen showed 8-9x differences in token efficiency. This reflects fundamental architectural decisions in how each framework orchestrates multi-agent workflows from the orchestration layer, how frameworks route messages, manage state, and coordinate agent handoffs. To understand…

Agentic AI
Benchmark
Oct 7

Top 5 Open-Source Agentic AI Frameworks

We benchmarked 4 popular open-source agentic frameworks across 2,000 runs (5 tasks, 100 runs each per framework), measuring end-to-end latency, token consumption, and architectural differences. We examined how the frameworks themselves influence agent behavior and the resulting impact on latency and token consumption. LangGraph is the fastest framework with the lowest latency values across all…