TL;DR
- Start with native LinkedIn review when a few competitor posts generate enough relevant conversations. A comment about a buying problem is more useful than an indiscriminate list of likes.
- Choose PhantomBuster for a repeatable, operator-friendly workflow that finds posts and exports likers or commenters. Start is $672 annually, equivalent to $56 per month, with 20 execution hours monthly.
- Choose Apify when a developer wants structured results from specific post URLs. Compare the actual Actor: HarvestAPI reactions are $2 per 1,000 on Free/Starter, while richer profiles add charges.
- Use Sales Navigator to qualify people and account context, Clay to filter and enrich a collected list, or Apollo to turn matched prospects into contact records. These are downstream tools, not interchangeable competitor-engagement monitors.
- Keep the post, comment or reaction evidence attached to the person. Engagement indicates attention to a topic; it does not establish purchase intent or a usable email address.
What makes competitor engagement useful
The useful question is not “Who liked our competitor?” It is “Which relevant people expressed a problem we can help solve?” A competitor's product announcement can attract employees, partners, investors, job seekers and existing customers. Exporting all of them creates volume without creating a good sales list.
Look for posts discussing implementation, alternatives, costs, integration gaps or operating problems. Prioritize comments that describe an actual situation over generic congratulations. Retain the post URL, author, post date, collection date, person's profile and the relevant comment. A reaction is a weaker observation and usually supplies less context.
The six tools below cover three stages: discover engagement, qualify the person and account, then create an actionable contact record. The practical recommendation is a small stack, not six subscriptions. This article focuses on competitor-post evidence and the qualifying output; our engagement-to-outreach workflow comparison covers orchestration after collection. The assessments use documented capabilities checked on 30 September 2026, not a live extraction benchmark.
The six tools and their actual roles
| Tool | What it contributes | Monitoring and freshness | Usable output | Pricing basis |
|---|---|---|---|---|
| Select and read visible competitor posts and discussions | Operator checks selected posts; no automated prospect feed | Manually recorded profile, post and comment context | Existing LinkedIn access; no additional tool fee assumed | |
| PhantomBuster | Find posts; export likers/commenters through named automations | Scheduled collection; freshness depends on run cadence | Exported engagement/profile rows, with enrichment as another step | Start $672/year; $56 monthly equivalent |
| Apify | Specific community-maintained Actors for reactions or comments | Run selected URLs on a schedule; output varies by Actor | Dataset/API results with reaction or comment fields | Platform Free $5 usage/month; Starter $19/month usage credit plus excess |
| Sales Navigator | Current role, account filters, relationship and account context | Saved lead/account monitoring after identification | Qualified LinkedIn lead/account; no native bulk CSV contact export | Core $119.99 monthly or $1,079.88 annually |
| Clay | Deduplication, ICP rules, provider enrichment and routing | Refresh/import design belongs to the workflow | Qualified table rows and supported downstream handoff | Launch from $185 monthly; Growth from $495 |
| Apollo | Match company/person and obtain contact-ready records | Data enrichment after the engagement event | Saved contacts, CSV/CRM/sequence handoff | Reported Basic $65 monthly or $49 annual equivalent |
A subscription base is not an all-in cost per prospect. PhantomBuster meters execution time and enrichment separately; Apify bills the chosen Actor; Clay has Actions and Data Credits; Apollo has action-specific credits. Sales Navigator supplies research context rather than the email output of an enrichment database. PhantomBuster pricing, Apify pricing, Sales Navigator plans, Clay pricing, Apollo pricing.
Tool-by-tool comparison
1. LinkedIn for selective manual discovery
Native LinkedIn is the best starting point for a narrow competitor set. A salesperson can read a post, distinguish a specific question from a casual reaction and visit the person's profile before adding a lead. That context is especially valuable when there are only a handful of relevant discussions each week.
LinkedIn Page competitor analytics can help an administrator compare follower and organic-content performance and identify trending peer posts. It is an aggregate discovery aid, not a downloadable list of every competitor's engaged prospects. Visible post discussions remain the source for the person-level review. LinkedIn competitor analytics.
Use a compact working sheet: profile URL, company, role, post URL, observed comment, observed date and disposition. A repeated appearance should update the same person record rather than create a second outreach target. The incremental tool cost can be zero with existing LinkedIn access, but the review time still belongs in the economics.
Best fit: low volume, complex comments and a seller who already follows the category. Less suitable: daily collection across dozens of competitors or a repeatable API-fed dataset.
Verdict: begin here until the manual discovery work is large enough to justify a collector. The judgement involved in interpreting a comment remains useful after automation.
2. PhantomBuster for repeatable engagement exports
PhantomBuster documents a competitor workflow that combines its LinkedIn Activity Extractor with Post Likers Export and Post Commenters Export. That provides a more complete path than a tool requiring you to supply every post URL manually. Keep extraction separate from outreach until the list has been qualified; the vendor's combined outreach workflow is not a reason to message every reactor. Competitor-post workflow.
Start includes five automation slots, 20 execution hours per month, 500 email credits and unlimited exports at $672 annually. The displayed $56 is the annual monthly equivalent. Grow is $1,536 annually, with 15 slots and 80 hours monthly. Upgrade for the runtime or parallelism required by the collection schedule, rather than assuming a higher plan makes engagement more meaningful. Current pricing.
Results can be exported and retrieved through its API. That fits a spreadsheet-first operator or an existing enrichment workflow. Scheduled runs determine when newly visible engagement is collected; export time should not be presented as the exact time a person reacted. Email enrichment is a separate action and should not replace the original LinkedIn evidence. Result export guide.
Best fit: an operator wanting ready-made collection steps without building a scraper application. Less suitable: a tiny monthly batch where the annual commitment exceeds the value of time saved.
Verdict: the clearest packaged collector in this shortlist. Use Start for a modest schedule that fits its execution allowance, then qualify the output before choosing a sequencer.
3. Apify for structured collection by post URL
Apify is a platform and marketplace; the specific Actor determines the output. Two useful examples are HarvestAPI's linkedin-post-reactions and Atomus's linkedin-comments-scraper-pro, both community-maintained products whose publishers describe operation without LinkedIn cookies. They are not official LinkedIn APIs or one interchangeable Apify service.
HarvestAPI's reaction Actor accepts post or comment URLs and returns reaction type, actor name, position and encoded LinkedIn profile identifiers. Standard profile URLs and richer profile data require its profile mode, with additional usage charges. Its documentation also describes a website reaction-loader ceiling, so a large post's count is not proof that every reactor will be returned. Reaction Actor documentation.
The current pricing table charges $2 per 1,000 reaction results on Free, Starter and Scale; the headline $1.50 applies to Business. Main profile details are another $2 per 1,000 at the entry rate, full profiles $4, and full profiles with email search $10. Platform usage for this Actor is included. Use the table rather than the lowest promotional headline for a small team's budget. Reaction Actor pricing.
Atomus's comment Actor returns text, author profile, headline and timestamps, with nested replies optional. It advertises pricing from $4.80 per 1,000 comments; that is a starting rate, not a universal blended price for every configuration. Comment text supports much better qualification than a reaction alone. The Apify platform supplies datasets and API access around those results. Comment Actor.
Best fit: a developer needing structured records and control over inputs, scheduling and post-processing. Less suitable: a buyer expecting the marketplace subscription alone to discover relevant competitor posts and deliver verified sales contacts.
Verdict: strong for precise collection economics and application integration. Buy the actual Actor's output, not the platform brand.
4. Sales Navigator for account and role qualification
Once an engaged person has been identified, Sales Navigator helps assess whether their current role and company match the ICP. Its account and lead filters and relationship context answer questions such as “Is this person at a target-size company?” and “Who else belongs in the buying group?” Saved leads and accounts can then support ongoing research. Search filters.
Core costs $119.99 monthly or $1,079.88 annually per licence. It is a reasonable qualification layer when the seller already uses Sales Navigator for account research. It should not be purchased on the assumption that it natively exports competitor-post commenters to CSV: LinkedIn states that lead and account information does not have native CSV/XLS export. Advanced Plus CRM functions are a separate capability. Plans, Export boundary.
A qualified record can therefore remain a LinkedIn profile with an account decision and a next research step. Getting a work email still requires a suitable contact-data source. This division also prevents a saved lead from being mistaken for an approved email recipient.
Best fit: account-focused sellers making selective decisions from a relatively small engagement list. Less suitable: an automated bulk engagement-to-email pipeline.
Verdict: use it to improve judgement about known people and accounts, especially when already licensed. Do not count it as the collector.
5. Clay for filtering and enrichment
Clay is useful after the collector supplies a table. Normalize profile URLs, merge repeated people, enrich current company and role, apply target geography and company-size rules, then find contact data only for the rows worth pursuing. An account match should survive separately from the source event, so later enrichment does not erase which post introduced the prospect.
Launch starts at $185 monthly and supports reviewed batch workflows and email-campaign integrations. Growth starts at $495 and adds native CRM sync, HTTP integrations and webhook automation. Actions and Data Credits are separate parts of the configured cost; using your own provider key also leaves that provider's bill outside the Clay base. Clay plans and consumption.
The advantage is flexibility: one dataset can use different provider routes or ICP tests without collecting all the posts again. The disadvantage is that someone must design those rules and interpret ambiguous employment or company matches. Clay does not make a congratulatory reaction into a buying signal merely because the row is enriched.
Best fit: agencies with changing ICPs or multiple data sources and an existing Clay workflow. Less suitable: a one-off list that a spreadsheet and one contact lookup can finish cheaply.
Verdict: the strongest flexible middle layer. Buy Growth only when the ongoing integration scope warrants the additional $310 monthly base over Launch.
6. Apollo for the contact-ready handoff
Apollo fits the point where a reviewer has accepted the company and person but needs usable contact fields and a sales handoff. Its search, enrichment and export operations can turn a matched profile or company into a saved contact, CSV, CRM record or sequence input. Carry the post URL and qualifying comment alongside that record; an Apollo contact does not itself prove engagement with the competitor. Prospecting operations.
Current official pricing describes Basic, Professional and Custom, with allowances depending on actions and plan. September pricing reports put Basic at $65 monthly or $49 monthly equivalent annually and Professional at $99 or $79 respectively. These are reported bases from prospecting/data publishers, not an all-in price for every email, phone and export operation. Official plans, SwarmHit pricing report, Cleanlist pricing report.
Use the exact profile, current employer and role to match the person. A matching name at a similarly named company is insufficient for an engagement-based introduction. Apollo is convenient when it is already the team's contact database and sequencer; it can avoid paying for a flexible enrichment layer whose extra features would go unused.
Best fit: a contact-first team working in Apollo already. Less suitable: discovering the original competitor engagement or joining many unusual signal sources.
Verdict: a practical final stage, especially for a stable ICP. Pair it with a collector or manual review rather than calling it a competitor-engagement monitor.
A 20-post prospecting example
Assume a team selects 20 relevant posts from five competitors each month. They yield 1,200 reaction/comment events belonging to 800 unique people. Current employer and role checks leave 200 ICP matches; 80 have a specific relevant question or repeated topic engagement; 50 ultimately have the required contact channel and approved context. These are editorial assumptions, not promised conversion rates.
The record should look like: profile URL → current operations role at a target account → competitor implementation post → comment asking about CRM synchronization → collected this week → qualified for an integration-focused conversation. A second record that contains only “liked a product announcement” may remain in research rather than receive an immediate sequence. Reaction collection dates show freshness of observation; comment timestamps, where available, show when the discussion actually happened.
Suppose qualification and matching take two minutes per unique person. For 800 people that is 1,600 minutes, or 26.67 hours. At $50/hour, labour is $1,333.33, or $26.67 per approved contact before tools. This is why filtering employee, partner and irrelevant-role rows early matters more than a cheap raw-result price.
A reaction-only collection of 1,200 results with HarvestAPI's entry rate would cost $2.40 in reaction events. Enriching all 1,200 with its main-profile operation adds another $2.40, for $4.80 in those two Actor operations. Repeats still incur event costs; deduplication later does not undo the original collection. Apify Free includes $5 monthly usage, while Starter's $19 includes $19 to spend and charges excess: do not add $19 and $4.80 as though the allowance were an extra fee. Comments, other Actors and enrichment change this example. Actor rate table, Platform allowance.
PhantomBuster Start plus Clay Launch has a $241 monthly-equivalent base using the $56 annual PhantomBuster equivalent and $185 monthly Clay base. Adding the assumed review labour gives $1,574.33, or $31.49 per approved contact, before additional data consumption and other costs. PhantomBuster requires $672 annual cash; this is a normalized scenario, not a month-to-month invoice. If the automation saves five review hours against the same manual outcome, it saves $250 labour and just covers that base. It needs better filtering or higher useful volume to create much room for additional costs.
For an existing Apollo or Clay subscriber, calculate the marginal collection and usage cost rather than charging the whole existing subscription again. For a new small operation, begin with manual review or a narrowly configured Actor. The signal-based outbound playbook connects this evidence to account selection and a relevant next action.
Which stack to choose
For a handful of posts, use LinkedIn review plus the contact tool already in place. Add PhantomBuster when recurring post discovery and exports consume enough operator time. Choose Apify when the team can operate specific Actors and wants structured input/output with explicit result pricing.
Use Sales Navigator for selective account judgement, Clay for flexible multi-provider filtering, or Apollo for a familiar contact-ready workflow. These are alternatives for parts of the downstream job, not three mandatory additions.
Common Room was removed from the competitor-collection shortlist because its current LinkedIn integration covers the connected company's page; its former extension support for arbitrary-post engagement capture was discontinued. That is a useful own-audience signal product, but a different input. Current integration scope, Extension change.
The strongest list is usually smaller than the raw export. Retain the original discussion, match the current account and choose a relevant reason to contact the person. That produces a better buying and outreach decision than ranking tools by how many names they return.
FAQ
Is a competitor-post like a buying signal?
It is evidence of attention, with little explanation of why. A specific question, comparison or implementation problem supplies stronger context. Treat a reaction as a research input rather than a purchase claim.
Which tools here actually collect competitor engagement?
Native LinkedIn supports manual review. PhantomBuster supplies named post-discovery and engagement-export automations. Specific Apify Actors collect reactions or comments from supplied URLs. Sales Navigator, Clay and Apollo primarily support the subsequent qualification or contact stage.
Does Apify's lowest advertised rate apply on the free plan?
Not always. The HarvestAPI reaction Actor advertises from $1.50 per 1,000, but its pricing table charges $2 on Free, Starter and Scale. Business receives the lower reaction rate.
Should I enrich every person before filtering?
Usually no. Remove obvious non-fit roles, your own records, duplicates and excluded accounts first. Enrich the smaller list where the missing fields affect qualification or the next contact step.
Can Sales Navigator export this as a contact CSV?
It does not provide native bulk CSV/XLS export of lead and account information. Use it for qualification and account context, then use a contact-data workflow for the required handoff.
