The LinkedIn group turns public LinkedIn activity into rows. Pick the scraper for what you have: a page, a profile, or a post URL.
- Actions
- 4
- Category
- Lead Sourcing — Scrape
- Authentication
- SyncGTM credits — no external API key
- Cost
- 0.2–0.3 credits per post or profile
- Returns
- Posts, or the people who engaged with them
Available scrapers
| Scraper | Input | What it returns |
|---|---|---|
| Page Posts | Company page URL | Recent posts from that company page, with content, engagement and timestamps |
| Profile Posts | Profile URL | Recent posts that person wrote |
| Post Commenters | Post URL | The people who commented on that post |
| Post Engagers | Post URL | The people who reacted to that post |
Commenters and engagers are the two that build lists. A post about your category is a room full of people who raised their hand; those two scrapers hand you the room.
LinkedIn is a SyncGTM native integration — it runs on SyncGTM credits, so there is no LinkedIn account or API key to connect.
How to use it
- Find the post, profile or page you want to work from and copy its URL
- Open the table and click Table → Import → LinkedIn, then pick the scraper
- Paste the URL and set a result limit
- Run it, map the fields to columns, and click Create Rows
- Enrich the resulting profiles — Enrich LinkedIn Profile, then Find Work Email
Common use cases
- Mine a competitor’s post for its audience. Everyone who engaged is interested in the problem, whether or not they bought.
- Work an industry influencer’s comment section. Commenters self-select harder than reactors — they wrote something.
- Track an account’s posting. Page posts tell you when a company launches, hires, or repositions.
- Personalize from a person’s own words. Profile posts give you a specific line to open with instead of a generic compliment.
Best practices
- Pick posts about the problem, not about the vendor — a post praising a competitor draws their customers, a post about the pain draws buyers
- Filter engagers by title before enriching; a viral post pulls in students and job seekers
- Dedupe across posts — the same people engage repeatedly in a niche
- Enrich in stages: profile first, then email only on the rows that pass the title filter
- Reference the specific post in the first message; “saw you commented on X” is why this list outperforms a cold one
- Keep the post URL column so the personalization line stays traceable
Where to next
- Enrich/Scrape LinkedIn Profile — turn a profile URL into a full record
- Find Work Email — get a contactable address
- LinkedIn integration — the same scrapers as enrichment columns
linkedin_post_commenters— run it from an AI client over MCP