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 🙏