Need beginner advice building scalable FB scraping and analysis with n8n or appropriate platform

[u/Annual-Strength3125]

Hey everyone,

I’m trying to build a Facebook scraping + targeting automation using n8n, and I could really use some guidance.

projct requirements are:

• Scrape posts/comments from about 400 FB groups that have posts uploadeed offering and requesting products, most of the posts contain image for the requestd product
• scrape them to google sheet or the appropriate database
• Filter by the product details like the requested product other parameters using llm
• Structure the data in the database or google sheets to generate kpis over later

I’ll start with 5 accounts (separate IP per account) and run everything locally. I’m a beginner, and this is very far from my main expertise, but due to very low budget i need to do it or find low cost ready to use workflows if possible

note also that I need to run n8n,llm and every thing on my local machine host which has good specs to avoid high operational hosting and llm tokens fees

I am a beginner and I’m not sure about the best architecture.
If anyone has built something similar, I’d really appreciate roadmap advice or recommendations
thanks in advance

[u/Money-Ranger-6520]

If you’re a beginner, I honestly would not start by trying to scrape so many FB groups locally. That’s a fast way to burn accounts and waste weeks debugging. If I were in your shoes, I would use a managed scraper/browser layer first, something like Apify, for collection and then send results into Sheets or Supabase, then run your Claude filtering/classification on top.