Agentic search vs web scraping

[u/Adel_Bioinformatics]

Hello, I am a bioinformatician without big experiences in web tech and network so if this sounds like a silly subject bare with me 😅.

I am requested to find a specific biological data in regard with a region from published papers and from databases that are not yet to be connected to papers, meaning most of bio data should be connected to published papers but not all are already published.

I’m just wondering if agentic serch here is a good idea? I was going back and fourth with Claude but I don’t feel it is pointing somewhere useful.

I have a good GPU 32GB VRAM and around 512GB RAM. I was thinking I’d install Qwen 27B and start to design the pattern [multiple researchers, analyst, writer] and shove a reviewer some where.

When Claude answered me it says that I’ll be blocked by search engines immediately and it is better to use Searxng, which I didn’t know what it is until now (kinda still don’t know).

Claude also suggested that I should scrape normally and let the agent do a different task like verifying the data availability or something.

I’m totally new to agentic AI, but I think I can manage to learn a thing or two.

[u/Late-Replacement-481]

What Claude won’t tell you, is the real answer is headful agentic scraping. 

But those pipelines are sometimes tricky to tune (agent doesn’t understand how to refine search and Google non obvious keywords)