Advice on AI Model and Prompt for Job Listing Scraping Automation with N8N

Hi everyone, I’m working on an automation project with N8N for a client, which scrapes job listings from Apifi. The automation collects and analyzes several data points from the listings:

Title

Company

Location

Category

Description

Meta description

Facebook post to create

Salary

Contract type

Listing link

Publication date

Scraping date

I’m now looking for an AI “brain” model to integrate that can:

Provide concrete, direct answers with minimal emotional tone

Be very efficient and fast in processing data

Deliver good results both in terms of cost-effectiveness and quality of output

Additionally, I’d like advice on how to structure an effective prompt, so that the model can:

Accurately analyze all the listing fields

Be consistent and optimized for outputs like Facebook posts or summaries

Stay focused on concrete data without digressing

If anyone has experience with AI models applied to scraping or automations like this, any tips on model choice, prompts, and optimization strategies would be extremely helpful!

Thanks in advance 🙏

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