Day 5. Another LinkedIn scraper, but with a different angle.
Yesterday was about searching for people by role and location. Today is about finding people based on what they engage with. Specifically: who liked a particular LinkedIn post.
Why this matters:
When someone likes a post about AI automation, they’re telling you they care about AI automation. That’s intent data — for free. A viral post with 500 likes is 500 people who raised their hand and said “this topic matters to me.”
The workflow:
Find a relevant LinkedIn post — maybe a thought leader in your space, a competitor’s product announcement, a conference recap, or an industry hot take. Click on the reactions. Open DevTools, find the Voyager GraphQL request, copy as fetch. Connect a Google Sheet, paste into Needle, run.
The workflow handles pagination automatically. A post with 500 likes gives you 500 leads. Each row in your Google Sheet is a LinkedIn profile URL of someone who engaged with that specific post.
Where to find the right posts:
Think about what your ICP would like on LinkedIn. Conference announcements, product launches, thought leadership in your niche, “we’re hiring” posts from companies in your space, controversial takes on industry trends. Each of these posts is a pre-built lead list.
What I like about this scraper:
It’s surgical. You’re not scraping a broad search — you’re scraping people who engaged with one specific piece of content. The relevance is extremely high. If someone liked a post about “why we switched from Zapier to an AI-first workflow tool,” those are exactly the people I want to talk to.
Tomorrow: Scraper #6 - Instagram Followers. The only non-LinkedIn scraper in the second half.
