6 Best Tools for Finding Leads from Competitor LinkedIn Engagement in 2026: Monitoring, Filtering, and Export Compared

TL;DR

• Competitor engagement sourcing is one narrow job: watch a profile that is not yours, capture who reacts and comments, filter to your ICP, enrich, and route. Broad signal platforms do this among many things. The tools here do it specifically. Best for: scoping the purchase tightly.

• PhantomBuster is the export workhorse and it has a hard ceiling worth knowing before you build on it: the post likers automation cannot go beyond the platform's 3,000-profile cap on visible likers. Best for: one-off extractions and chained workflows.

• Trigify publishes the clearest pricing in the category at $40 per month for 4,000 credits and $199 for 40,000, with overages at $0.012 per credit, and covers professional networks plus Reddit, X, Substack, YouTube and Hacker News. Best for: signal coverage beyond one network.

• traxy monitors any profile including competitors and influencers, scans hourly, matches engagers against your ICP, enriches phone and email, and routes to Slack, HubSpot or a webhook, with Pro published at $149 per month for 5,000 credits and no network login required. Best for: continuous competitor monitoring without connecting an account.

• Saava is a candidate for routing engagement signals into outreach. Evaluate the relevance of the underlying activity and the quality of the resulting conversations; partner campaign percentages do not establish a general uplift.

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Contents

• Why competitor engagement is a distinct sourcing task
• The five capabilities that matter
• 1. PhantomBuster
• 2. Clay
• 3. Trigify
• 4. traxy
• 5. Saava
• 6. HarvestAPI
• Side by side summary
• Additional tools to consider
• Making the signal survive contact with a sequencer
• FAQ: Competitor Engagement Sourcing

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Why competitor engagement is a distinct sourcing task

The broader buying-signal category compares intent providers, visitor identification and third-party data feeds against each other. This is a narrower job and it has different failure modes.

Somebody reacting to a competitor's post is not expressing intent to buy. They are expressing that they are awake, in the category, and reachable. That is a weaker signal than a review-site comparison view and a much cheaper one, and it has a property those signals lack: you get a name and a profile, not an anonymised account.

The practical value comes from three properties. It is person-level by default rather than account-level. It is timestamped, so recency is knowable. And it is public, which means no vendor has an exclusive on it and pricing reflects that.

The failure mode is volume without filtering. A competitor post with 400 reactions produces 400 names, of whom perhaps 15 match your ICP and perhaps 3 are worth a message this week. Every tool in this list is really being evaluated on how much of that filtering it does for you before a human sees the list.

One field caution worth carrying into every option below: the engagement pool skews toward people who post for a living. Founders, agency owners, job seekers and other vendors react to industry content at far higher rates than the operators you probably sell to. Filter on title and company before you filter on anything else.

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The five capabilities that matter

Profile and post monitoring. Can you watch a competitor's profile or company page continuously, or must you point the tool at individual post URLs each time. Continuous monitoring is the difference between a workflow and a chore.

Audience filtering. Does the tool score engagers against your ICP before you see them, or hand you a raw list.

Timestamps. Recency is the whole signal. A reaction from last Tuesday is actionable and one from March is a name.

Enrichment. Profile URL to work email and mobile, and whether that costs a separate vendor.

Export and routing. CSV, webhook, CRM, or direct push into a sequencer, and whether the routing carries the reason the person qualified.

One more, which is not a feature but decides risk: whether the tool requires your account credentials. Cookie-based and session-based tools carry account risk. API-based and monitoring-based tools that never authenticate as you do not.

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1. PhantomBuster

Layer: Cloud automation suite with dedicated extraction phantoms

Best for: One-off extractions and chained workflows where you own the sequencing logic

PhantomBuster is the tool most teams have already used for this, and it remains the most flexible because it is a general automation platform rather than a signal product.

The relevant automations are named and documented: LinkedIn Post Likers Export, LinkedIn Post Commenters Export, a combined Post Commenter and Liker Scraper, LinkedIn Post Engagers to Lead Outreach, LinkedIn Company Follower Collector, LinkedIn Group Members and LinkedIn Search to Outreach. The documented workflow for engagement sourcing is to extract likers and commenters from target posts, enrich the resulting profiles with the LinkedIn Profile Scraper for personalisation detail, then push into outreach.

The constraint to internalise before building on it is published in PhantomBuster's own support documentation: the phantom can extract all visible likers, but it cannot go beyond the platform's 3,000-profile cap. For a competitor whose posts routinely clear that number, you are sampling rather than harvesting. It also requires connecting your account, which is the risk model that matters most here.

For PhantomBuster monitoring, estimate repeated execution and the enrichment needed after collection. A low-cost extraction is not a complete prospecting workflow until identities and relevance are resolved.

Where it falls short: Execution-time metering punishes continuous monitoring, which is exactly the shape of competitor watching. The 3,000-profile cap is a platform limit rather than a product one but it binds all the same. There is no ICP scoring, so filtering happens after export in a spreadsheet or an orchestration tool. And account connection carries the risk profile that credential-free monitoring tools avoid.

Verdict: Still the right tool for a defined extraction you run on a schedule and process elsewhere. The wrong tool if you want a system that watches five competitors continuously and tells you who to contact.

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2. Clay

Layer: Orchestration and enrichment surface where the filtering and routing actually happen

Best for: Teams that already run a table-based workflow and want the signal to land in it

Clay is not a competitor-engagement tool and belongs here anyway, because in most working systems it is the layer where a raw engager list becomes a qualified one.

The platform is positioned around waterfall enrichment, signals tracking, audiences management, TAM sourcing, account and lead scoring, CRM enrichment, an email sequencer, ad sync and a workflow builder. Recent additions relevant to this job are account research agents, open-weight models in its agent runtime for cost-effective long-running tasks, and MCP for reps letting sellers call ops-built functions and data from over 200 providers in natural language.

The integration path most teams use is simple: extract engagers with a scraper or a monitoring tool, land them in a table, waterfall the enrichment across several providers, score against ICP, then push to CRM or sequencer.

Pricing: Free at $0 with 500 actions, 100 data credits, 200 rows per table, Claygent and bring-your-own-key. Launch is published at $167 per month annual and $185 monthly with 15,000 actions and 2,500 or more data credits including phone enrichment and signals. Growth is $446 annual and $495 monthly. Enterprise is custom and annual. Annual saves 10%. Actions start below $0.01 and credits from $0.05 across 150 or more partner providers. API access, warehouse sync, SSO and RBAC are Enterprise only; CRM auto-sync, HTTP API, webhooks and web intent start at Growth; phone enrichment and job-change tracking start at Launch. Source sync frequency is daily on lower tiers and 15 minutes on the top tier.

Where it falls short: a waterfall can return duplicates, unresolved matches or a valid address for the wrong person. Preserve profile identifiers, deduplicate before paid steps and assess each provider against the exact segment. Orchestration does not make every input equally reliable.

Verdict: The correct place to do the filtering, scoring and routing, and a poor place to do the extraction. Pair it with something that captures the engagement and keep the enrichment waterfall under your own control.

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3. Trigify

Layer: Cross-platform social signal intelligence with workflows and enrichment

Best for: Teams whose buyers are active on more than one public network

Trigify is the broadest signal footprint in this list and the most transparently priced. It resolves buying signals across professional networks, X, Reddit, YouTube, Substack, Hacker News and podcasts to named people with the source post attached, which is the detail that makes a signal usable rather than merely interesting.

The workflow model is explicit: triggers covering signal, new post, webhooks and scheduled runs; agents for general reasoning, copy and sentiment; enrichment for person, engagement, email and phone; and integrations with a cold email platform, a CRM, Slack, Notion and Sheets. A co-pilot handles setup. The stated sequence is that a signal lands, a workflow reasons through the context, pulls the engagement, enriches the person and pushes it wherever the team works.

Where it falls short: Third-party review rates it 3.7 out of 5 and identifies the core risk plainly: post engagement tracking is the strongest feature with alerts usually arriving within 24 hours, and if signals generate noise rather than pipeline the subscription adds up fast. Twenty-four hour alerting is adequate for engagement sourcing and too slow for anything genuinely time-critical. It also does not execute outreach, so a sequencer is a separate line item.

Verdict: The best coverage-per-dollar here if your buyers post in more than one place. Set a pipeline threshold before the trial ends, because credit-metered signal tools reward discipline and punish curiosity.

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4. traxy

Layer: Continuous profile monitoring with ICP matching, enrichment and routing

Best for: Watching named competitors and influencers without connecting an account

traxy is the most precisely scoped product in this list for the exact job this article describes. The core capability is monitoring any profile, with competitors, influencers and teammates named explicitly, and turning ICP matches who engage with their posts into leads.

Three design choices distinguish it. The agent scans every hour and surfaces people matching your ICP rather than waiting for them to engage with you first, with a preview batch before you scale. Contact enrichment reveals phone and email on any lead with auto-enrichment on chosen segments. Routing pushes to Slack, HubSpot or any webhook the moment a lead surfaces. Additional integrations named include Meta Ads and a social sequencer partner.

The operational fact that matters most for risk: no network authentication and no credentials required, stated on the product pages and repeated in the feature list. For teams that have lost accounts to cookie-based tooling, that alone shortlists it.

Where it falls short: The monitored-profile limit is contradictory across sources and it is the number that decides whether the tool fits, since watching one competitor is a demo and watching eight is a system. Customer evidence is vendor-published case studies rather than independent review volume. And like Trigify, it stops at routing, so execution is elsewhere.

Verdict: The closest fit to the literal job, and the credential-free monitoring model is a genuine risk advantage over scraper-based approaches. Pin down the monitored-profile count in writing before you sign.

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5. Saava

Layer: Signal detection joined to outreach execution in one loop

Best for: Teams that want the engager to enter a sequence without a handoff step

Saava's positioning is that detection and outreach should not be two products. The platform describes catching the buying signal in the hour it happens and reaching out to ideal prospects to book a meeting hands-off, across professional network and email, built on seven years of running outreach for B2B teams. The internal loop is stated as detect, qualify, write, send.

The integration with a leading social sequencer is where the mechanics are documented most clearly, and the documentation is unusually specific about what flows in each direction. Leads flow in on an ongoing basis as new engagement happens rather than requiring manual list rebuilds. Saava passes the reason a lead qualified, meaning the post they engaged with and the keyword that surfaced them, as variables usable in messaging. Campaign outcomes including accepts, replies and status flow back to Saava so it can learn which signals convert. The partner frames the benefit as warmer targeting requiring fewer sends for the same pipeline, which is easier on sender accounts.

Measure acceptance and reply rates from your own campaigns, using consistent denominators and separating accepted connections, all replies and positive replies. Segment results by audience, message and profile maturity. An undocumented sector average is not a sound forecast for a different campaign.

Pricing: Free 7-day trial with no charge during the trial and cancellation any time. Plan-level pricing is not published on the indexed pages; a pricing page exists and a demo path is offered. Treat pricing as quote-led until confirmed.

Where it falls short: No published pricing is a procurement friction and the main reason it will lose evaluations to Trigify and traxy. The headline conversion figures come from a commercial partner. And by combining detection with sending it competes with tools you may already own, which makes it an all-or-nothing adoption rather than a layer.

Verdict: The most complete loop here, with the least verifiable numbers. Worth a trial specifically to test whether signal-sourced acceptance genuinely beats your current baseline on your own audience, which is a two-week test you can run for free.

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6. HarvestAPI

Layer: Low-cost programmatic extraction API for profiles, posts, comments and reactions

Best for: Engineering teams building the monitoring loop themselves

HarvestAPI is the build-it-yourself option, and it is priced such that building it yourself is genuinely cheaper at volume.

The endpoint surface covers exactly what this job needs: profile posts by profile URL, ID or public identifier; profile comments by post URL; profile reactions by profile URL; post search by keyword, author and date range; comment replies by comment URL; comment reactions by comment URL; company posts; group posts; profile and company retrieval; lead search with advanced inclusion and exclusion criteria; job search; ad library search; and email finding and validation for profiles. There is a documented lead search endpoint that avoids the anonymised-member gap present in standard profile search, and the vendor states it handles extraction of 100,000 profiles in several hours for large-scale volumes.

Compare the number of requests needed to retrieve the intended activity, the records returned and how pagination works. A cheap call can still be an expensive workflow if it misses required context or must be repeated frequently.

Where it falls short: It is an API and nothing else. No ICP scoring, no monitoring scheduler, no routing, no interface. Everything above the raw data is your build and your maintenance. That is the correct trade for an engineering team and the wrong one for a two-person sales team.

Verdict: The cheapest path to this capability at volume by a wide margin, provided you have someone to own the pipeline. At 50,000 profiles a month the arithmetic against seat-priced tools is not close.

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Side by side summary

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Additional tools to consider

Four adjacent options are worth a pilot depending on where your constraint sits.

• anysite.io publishes 33 professional-network endpoints covering user posts, user comments, user reactions, post details, post comments, post reactions, post reposts, groups, email by profile URL and profile by email, with modular credit pricing where a basic profile call costs 1 credit and each additional data category adds 1, MCP plans flat from $30 per month and API usage-based from $49 with a 7-day trial.

• up2data focuses on complete employee coverage rather than contact details, with its team stating it returns 100% of the people on a company's page for further enrichment, a documented company-from-domain matching guide, and 1,000 free credits on signup.

• Linked Helper supports collecting profiles that liked or commented on posts alongside auto-liking and commenting, as a local-execution alternative to cloud automation.

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Making the signal survive contact with a sequencer

The reason most competitor-engagement programmes underperform is not the tool. It is that the reason a person qualified never reaches the message.

Three operating rules for turning engagement into a research queue.

Carry the reason as a variable. Saava's integration is explicit about passing the post engaged with and the keyword that surfaced the lead as usable message variables. Any pipeline that drops this and sends a generic opener has converted a warm signal into a cold list, and paid a premium to do it.

Stack signals before firing. Score and stack so one weak signal does not trigger outreach but three on the same account does. A single reaction to a competitor post is thin. A reaction plus a relevant job posting plus a recent leadership hire is a reason.

Respect the channel constraints. There is no universal daily invitation count that guarantees account safety. Keep activity within the platform’s rules and the limits shown to the account. Track qualified conversations rather than increasing volume to compensate for weak relevance.

An MX lookup can help identify a domain’s receiving mail infrastructure, but it does not establish that an address will bounce or that a prospect should be excluded. Use it as diagnostic context alongside address validation and actual delivery results. A security gateway is not evidence of an invalid recipient.

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FAQ: Competitor Engagement Sourcing

Is scraping competitor post engagement allowed?

The reactions and comments are publicly visible, which is why the category exists and why pricing is low. The risk is not usually legal, it is account safety, and it differs sharply by architecture. Tools that authenticate as you, including cookie-based scrapers and browser automations, put your account at risk and the platform actively detects them. Tools that monitor without credentials, which traxy states explicitly as requiring no network authentication, do not carry that exposure. Read each vendor's terms and the platform's terms before scaling, and never run credential-based automation on an account you cannot afford to lose.

How many engagers can you actually extract from one post?

Fewer than the reaction count suggests. PhantomBuster's own documentation states that its post likers automation can extract all visible likers but cannot go beyond the platform's 3,000-profile cap. For posts under that threshold you get complete coverage; above it you are sampling. If your competitors routinely post content clearing 3,000 reactions, plan for partial capture and prioritise recency rather than assuming completeness.

Do these tools give you email addresses and phone numbers?

Pricing basis: PhantomBuster. Price execution time, simultaneous automations and the downstream enrichment needed to make collected data usable. Repeated monitoring and one-off collection consume capacity differently.

What acceptance and reply rates should we expect from this source?

Use your own campaign baseline, with consistent definitions for accepted connections, all replies and positive replies. A source does not guarantee uplift across different audiences and messages.

Should we monitor competitors or influencers?

Both, and influencers usually produce more volume while competitors produce better fit. Someone reacting to a competitor's product post is closer to your category than someone reacting to a general industry commentator. The counterweight is that competitor audiences are heavily populated by other vendors and job seekers, so title and company filtering matters more there than anywhere else. traxy names competitors, influencers and teammates as monitorable profile types, which is the right menu; start with two competitors and one influencer and measure fit rate per source before expanding.

Can we build this ourselves instead of buying it?

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For the wider signal-selection decision, our guide to buying signal platforms covers the adjacent options.

Work with Forma Nôrden

We build signal based outbound systems for B2B companies selling into the enterprise and upper mid market. Competitor engagement is a cheap, person-level signal that most teams waste by stripping the context out before the message goes. Explore how we work.

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