If you've ever done SEO link building manually, you know the drill: you sit there Googling variations of "submit a guest post" + niche or intitle:"resources" + keyword, opening 40 tabs, and copy-pasting URLs into a spreadsheet. It works, but it doesn't scale, and it's mind-numbing.
So instead of doing that every month for client sites at my agency, I built a small Python tool to do the first pass for me: the Monthly Link Opportunity Finder.
Here's how it works, what I learned building it, and the actual approach if you want to build something similar.
The Problem
Link building research usually comes down to running a bunch of search operator queries against a target niche, then manually eyeballing which results are actually worth pursuing (directories, resource pages, guest post opportunities, local business associations, etc.) versus which are junk.
