TLDR: To find leads on LinkedIn from competitor posts, start with the post, not the tool. Pick competitors with the right audience, look for posts where buyers comment with pain or evaluation intent, capture the commenter and comment context, qualify fit, then enrich only the people worth contacting.
Most advice on how to find leads on LinkedIn starts with a search filter. Title, industry, company size, geography, seniority. That can build a list, but it often misses the reason to contact someone now.
Competitor posts solve a different problem. They show who is already paying attention to the category, what topic pulled them in, and what they were willing to say in public. A VP who comments on a competitor's implementation post is more useful than the same VP sitting silently in a broad Sales Navigator search.
The work is not "scrape every engager." The work is finding the few conversations where your buyers are already revealing pain, interest, or evaluation criteria.
How to find leads on LinkedIn from competitor posts
The basic workflow is simple:
- Choose 5-10 competitors, adjacent vendors, consultants, or creators your buyers actually follow.
- Find recent posts where the topic overlaps with the pain you solve.
- Open the comments before the reactions.
- Capture commenter name, profile URL, headline, company, comment text, and source post URL.
- Remove employees, vendors, job seekers, peers, and generic praise.
- Enrich the remaining people and companies.
- Write outreach from the comment or post context, not from the fact that they engaged with a competitor.
That last point matters. "I saw you commented on our competitor's post" is clumsy. "You mentioned your team is still comparing routing tools" is useful.
Sales Navigator is still helpful here. LinkedIn says it offers 50+ filters, lead and account alerts, InMail, CRM integrations, and access across its member network. Its Sales Navigator help page also shows how lead and account filters can refine results by company, geography, seniority, function, industry, and headcount. Use those filters after you have context, not as a substitute for it.
Start with the right competitor posts
Bad source selection creates bad lead lists. A competitor can have 80,000 followers and still produce comment sections full of partners, recruiters, creators, and other vendors.
Look for posts that attract buyers, not just engagement.
| Post type | Lead quality | Why it works or fails |
|---|---|---|
| Product launch with implementation talk | High | Buyers ask feature, migration, pricing, and comparison questions |
| Customer story with a concrete problem | High | Similar accounts reveal the same pain or ask how the result was achieved |
| Founder opinion post | Mixed | Can attract sharp buyers, but also peers and fans |
| Generic brand announcement | Low | Praise-heavy comments, weak sales context |
| Hiring or culture post | Low | Usually attracts applicants, employees, and recruiters |
| Viral hot take | Noisy | Lots of engagement, little qualification |
The best competitor posts are specific enough to make the wrong people bored. A post about "the future of sales" is too broad. A post about "why outbound teams miss CRM routing SLAs after a territory change" gives you something to work with.
Do not limit the source list to direct competitors. Adjacent vendors and category creators often have better comment sections. If you sell to RevOps, a CRM consultant may attract more useful comments than a direct software competitor. If you sell to security teams, a compliance advisor may pull better questions than another security vendor.
Which engagement is worth turning into a lead?
Comments beat likes for lead generation because they carry the thing you need for outreach: context.
Use this filter before you enrich anyone:
| Engagement signal | Action | Reason |
|---|---|---|
| "Has anyone solved this in HubSpot?" | Keep | Tool question plus operational pain |
| "We are comparing X and Y for this right now." | Keep | Vendor comparison and timing |
| "This broke for us after we moved upmarket." | Keep | Business change plus current problem |
| "Interesting, following." | Nurture | Light interest, not enough for active outreach |
| "Great post" | Skip | No problem, no angle |
| "DM me, we help with this" | Skip | Vendor reply |
| Comment from a competitor employee | Usually skip | Market intel, not a buyer |
You are looking for person-level intent. The useful row is not "post had 42 comments." It is "Maria, RevOps Director at 180-person SaaS company, asked how teams keep owner rules clean during territory changes."
That is also why a LinkedIn comment scraper is a different tool from a LinkedIn post scraper. Post scraping tells you which conversations exist. Comment scraping gives you the people and words inside the conversation.
Manual workflow: from post to lead list
Start manually before you automate. Ten posts inspected by hand will teach you more than a 2,000-row export from the wrong source.
Step 1: Build a source list
Create a short list of competitors and adjacent accounts:
- Direct competitors
- Integration partners
- Consultants in your category
- Creators your ICP follows
- Communities or podcasts with active LinkedIn pages
- Executives at companies your buyers already know
For each source, save the LinkedIn company page, founder profile, product leader profile, and any creator profile that consistently starts useful conversations.
Step 2: Select posts by topic, not vanity metrics
Open recent posts and ignore raw likes at first. Read the first 20-30 comments. If comments are generic, move on.
Keep posts where commenters ask questions, share failed attempts, name tools, debate tradeoffs, or describe a workflow. Those are the posts that can produce quality leads.
The PhantomBuster competitor-post guide uses a similar source idea but moves quickly into automation: extract competitor activity, export post likers and commenters, merge the lists, then run outreach. That is a valid path once the source is proven. For the first pass, stay closer to the comments.
Step 3: Capture a useful row
Your spreadsheet does not need 40 columns. It needs the fields that decide action.
| Field | Example |
|---|---|
| Person | Jane Smith |
| LinkedIn URL | linkedin.com/in/janesmith |
| Role | VP Sales |
| Company | ExampleCo |
| Comment text | "We tried this after our PLG motion changed" |
| Source post | Competitor launch post URL |
| Topic | PLG-to-sales handoff |
| Fit | Good / maybe / no |
| Next step | Enrich, save, skip, or nurture |
Do not capture the comment without the source post. The source post explains the conversation. It also stops the outreach from sounding detached later.
Step 4: Qualify before enrichment
Enrichment costs time and credits. Use a cheap first-pass filter before you find emails or push anything into a CRM.
Check:
- Does the role match your buyer persona?
- Does the company fit your market, region, and size?
- Is the commenter likely a buyer, user, influencer, or vendor?
- Does the comment contain a problem, question, comparison, or timing clue?
- Is the company already a customer, partner, competitor, or suppressed account?
If the answer is weak, do not enrich. Save the context for market research and move on.
Where this fits with other ways to find leads on LinkedIn
Competitor-post prospecting should not replace every LinkedIn lead generation motion. It fills a specific gap: finding people with recent context.
Use Sales Navigator when your sales team needs a clean account or lead search, lead recommendations, saved filters, shared connections, InMail, or CRM handoff. Use LinkedIn groups, referrals, events, and your own content when the goal is relationship-building. Use ads and sponsored content when marketing wants measurable cost per lead across a target audience.
Competitor posts are different. They are useful when you need a sharper reason for outreach than "you match our buyer persona." A commenter has already reacted to a live market conversation. If the role and company fit, the post gives you a better opening than a static profile search.
The practical stack is not complicated: use competitor posts for context, Sales Navigator or LinkedIn profile checks for fit, enrichment for contact data, and your CRM for ownership and follow-up.
Tools you can use
There are four practical ways to run this.
Manual LinkedIn plus spreadsheet. Best for proving the source. Slow, but you will understand which competitors and topics are worth monitoring.
Sales Navigator plus manual review. Best when you want to validate fit before outreach. Use Sales Navigator filters to confirm role, company size, geography, seniority, and account relevance after you find an interesting commenter.
Scraper workflow. Best when you already know the posts are good and need repeatable extraction. Use a post scraper to find posts, a comment scraper to export people, then enrichment and dedupe. The LinkedIn scraping tools guide compares the broader extraction category.
Coding-agent workflow. Best when you have a CSV and want Claude Code or Codex to clean, score, and draft lead context without building a full app. The Claude Code and Codex LinkedIn leads guide covers that handoff.
Finished warm-lead workflow. Best when reps should review qualified opportunities instead of maintaining exports. Signado monitors LinkedIn keywords, creators, and competitors, then turns relevant posts and comments into scored warm leads with the context attached.
The tool choice should follow the maturity of the workflow. Manual first. Scrape once you trust the source. Productize it when the source keeps producing fit.
Outreach that uses competitor-post context
The safest outreach angle is the topic, not the competitor.
Weak:
Saw you liked Acme's post. Want to chat?
Better:
You mentioned that routing ownership gets messy after territory changes. Are you solving that in CRM rules today, or outside the CRM?
Weak:
I noticed you commented on our competitor's post about outbound.
Better:
Your comment about SDRs losing context between LinkedIn and email made me curious: is the gap mostly enrichment, routing, or message writing?
The better version does two things. It proves you read the comment, and it asks about the specific problem. It does not pretend the person asked for a demo.
Also avoid overclaiming intent. A comment is not consent. A like is not a buying committee. Treat the engagement as a reason to research, not as permission to blast.
Mistakes that ruin this workflow
The first mistake is chasing viral posts. Viral posts feel efficient because there are more names to export. In practice, they often contain weak fit and vague comments.
The second mistake is targeting every liker. Likes can help rank a post by interest, but they rarely give enough context for a message. Start with comments. Add reactions later only if you have a strong enrichment and scoring process.
The third mistake is treating competitor employees as prospects. They can be useful for market intel, but they should not pollute the lead list.
The fourth mistake is losing the original comment. Once the row is separated from the post and comment, outreach becomes generic again.
The fifth mistake is automating before you know which sources work. Automation multiplies source quality. It does not repair it.
LinkedIn automation and account risk
LinkedIn's User Agreement prohibits using software, scripts, robots, crawlers, browser plug-ins, add-ons, or other processes to scrape or copy LinkedIn services and data. LinkedIn's Help Center page on prohibited software and extensions also names crawlers, bots, browser plug-ins, browser extensions, scraping, fake accounts, fake engagement, and automated activity.
The practical rule is simple: review any workflow that uses a logged-in account, session cookie, browser extension, automated profile visits, connection requests, messages, likes, or high-volume exports. If the account is a rep's main selling identity, be more conservative.
For a first test, manual review plus light enrichment is safer and often better. You only need automation after the source has proven it can produce fit.
FAQ
How do I find leads on LinkedIn from competitor posts?
Pick competitors or adjacent creators with the right audience, find posts where buyers comment about a relevant problem, capture commenter profile URLs and comment text, qualify fit, enrich only the keepers, and write outreach from the actual context.
Are competitor post commenters good leads?
Some are. A comment can show a problem, question, vendor comparison, implementation detail, or timing clue. Many comments are still generic praise, peer networking, or vendor replies. The comment gives you the clue; qualification decides whether it is a lead.
Do I need Sales Navigator to find leads on LinkedIn?
No. You can start with normal LinkedIn search, competitor company pages, public posts, and comment sections. Sales Navigator helps when you need deeper filtering, saved searches, lead and account lists, alerts, and InMail.
Should I scrape LinkedIn likes or comments?
Start with comments. Likes are easier to collect but weaker for outreach because they usually lack a stated problem. Comments give you the person, the context, and the words you can use to decide whether outreach makes sense.
What should I do after I find leads on LinkedIn?
Deduplicate the list, qualify role and company fit, enrich contact data, find a contact route, and write a message from the actual post or comment. If you want that workflow without maintaining the scraping and enrichment chain, start with warm-lead discovery.
Start sending outreach that references real events
Your next warm lead is already commenting on LinkedIn.