Two counters start running when you launch an export. On PhantomBuster it is a stopwatch: the platform deducts minutes of execution time. On Evaboot it is a row counter: one credit per lead pulled. The difference is not a billing detail, it is the fingerprint of two different jobs, and it explains why the "PhantomBuster vs Evaboot" comparison so often goes nowhere. The two are set against each other because both touch LinkedIn, yet they do not solve the same problem. Here is what each actually does, sourced from official pages, followed by a decision grid.
What each one does when you press run
PhantomBuster is a library of automations called phantoms, chainable into workflows. Some extract (search results, group members, reactions to a post), others act (visit, invite, follow, comment, like). The publisher's own rate-limit documentation covers LinkedIn, Instagram, Facebook, X/Twitter and YouTube Source, PhantomBuster, 2026. Wide scope, chain to assemble.
Evaboot has a single entry point: a Sales Navigator search you have already built. The extension exports the results, cleans the fields, flags the leads that fall outside your filters and looks for the professional email. No invitations, no messages, no other platform: narrow scope, fixed chain.
Put differently, PhantomBuster is a workshop and Evaboot is a production line. You do not swap one for the other. If the phrase LinkedIn automation still covers several distinct needs in your head, settle that before comparing price lists.
Three real strengths on each side
For PhantomBuster. Catalogue breadth first: for a common use case there is almost always a phantom already written and configurable without code. Action second: it is the only one of the two that can fire invitations, messages or follows, so extraction and outreach live in one tool. Infrastructure third: cloud execution, API access included on every paid plan, and up to 100 workspace members sharing the same resources Source, PhantomBuster, 2026.
For Evaboot. Filter checking first: the export states, row by row, whether the lead really matches the search filters and why it does not. Billing on kept results second: an email the tool cannot find is not charged, and unused credits roll over as long as the subscription stays active Source, Evaboot, 2026. Operational simplicity third: one chain to learn, one credit balance shared by the team, and as many Sales Navigator seats connected as you need at no extra cost.
The Sales Navigator dependency, and what it adds to the bill
This is the most structuring constraint, and the publisher states it plainly: "Evaboot exports the results of your own Sales Navigator searches, so you need an active Sales Navigator seat" Source, Evaboot, 2026. Without an active seat there is nothing to export. That LinkedIn licence is bought separately and billed separately: it sits on top of the Evaboot subscription, not inside it. The budget to plan for is two subscriptions rather than one, and that is the first thing to settle before comparing any price list.
On PhantomBuster the dependency is conditional: the catalogue holds a Sales Navigator search export phantom and a standard LinkedIn search export phantom. The second runs on a regular account, at a documented ceiling of 1,000 results per day in a single daily launch. That tier covers a heavily used free account as much as a new or lightly used premium one; the 2,500 per day tier assumes a premium account used regularly and rich in connections, or an Advanced Sales Navigator licence Source, PhantomBuster, 2026. It is the one point where one tool runs and the other will not start.
Billing an hour or billing a lead
PhantomBuster sells machine time. The free plan gives 30 minutes of execution time per month, 1 slot, 50 MB of storage and exports capped at 10 rows; paid plans go to 20 hours (Start, $69 per month), 80 hours (Grow, $159) and 300 hours (Scale, $439), with a 20 percent discount on annual commitment and prices excluding VAT Source, PhantomBuster, 2026. What the hour does not tell you is how many rows it will produce: a slow page burns as much as a fast one, and a failed run burns too.
Evaboot sells output. One lead costs 1 credit, one email found and verified costs 1 credit, so a complete contact costs 2 credits; entry level is $9 per month for 100 credits billed annually, or $0.09 per credit Source, Evaboot, 2026.
Neither model wins on price by nature: they move the risk. Time bills put the uncertainty on the buyer, who pays for the target platform being slow. Credit bills put it on the vendor, who absorbs the failed attempts. A steady volume budgets well per credit; exploratory work, full of tests and chains to build, sits better on time.
Cleaning, and what "false positive" means here
Evaboot claims to "verify if your leads truly match your Sales Navigator filters and remove false positives", and its export carries dedicated columns, Matches Filters and No Match Reasons Source, Evaboot, 2026. To do so the tool does not stop at the results page: it opens each lead's own profile Source, Evaboot, 2026, which also explains its daily ceiling.
PhantomBuster delivers a raw extraction, left to the user to reshape, possibly with the AI credits in the plan. The work exists in both cases, it is simply billed elsewhere.
One caveat worth stating: this cleaning is about consistency between a self-declared profile and your filters. It says nothing about the legal entity behind the company name, nor about its registered legal form and officers, which is a separate check against separate registers. Both tools offer emails, but finding and then verifying a professional address remains a step to control before sending. On phone numbers, Evaboot answers no and points to a third-party partner Source, Evaboot, 2026; the PhantomBuster plan sheet lists AI, email, URL finder and CAPTCHA credits, with no phone credit.
What breaks when LinkedIn moves
Rarely covered, the point is decisive. PhantomBuster publishes a known-issues page: as of 1 September 2026 it lists seven entries, six of them tied to LinkedIn or Sales Navigator and the seventh to X/Twitter. An advertising consent pop-up that blocks execution until the user handles it manually, keyword job-title filters that no longer work on the company employees export, results returned in the wrong language because LinkedIn now decides by IP geolocation Source, PhantomBuster, 2026. Publishing that list is to the publisher's credit.
The economic consequence is direct: when a phantom fails in a loop, the publisher itself recommends pausing it so failed runs do not eat execution time. An outage costs twice, in missing results and on the meter.
On the Evaboot side the exposed surface is narrower: one platform, one chain. Fewer breaking points, but a single break stops everything. The choice is between redundancy you assemble yourself and simplicity with no spare wheel.
Account risk, handled coldly
The question applies to both, and dodging it would be dishonest. The LinkedIn user agreement forbids members to "develop, support or use software, devices, scripts, robots or any other means or processes (such as crawlers, browser plugins and add-ons or any other technology) to scrape or copy the Services, including profiles and other data from the Services" Source, LinkedIn, 2026. The clause targets the use, not a given vendor, and the exposed account is yours.
PhantomBuster documents the subject and promises nothing. Its rate-limit page states that "Both manual and automated actions count toward your total usage" Source, PhantomBuster, 2026, and its account-safety page that recommended volumes "are meant to help reduce risk, not guarantee outcomes" Source, PhantomBuster, 2026. The dial stays in the user's hand, which assumes you know how to set it.
Evaboot takes the opposite option: a hard ceiling of 2,500 leads per day per Sales Navigator account, with one explicit rule, do not use another LinkedIn extraction tool on that account the same day Source, Evaboot, 2026. A corollary rarely read: running both tools together is discouraged by the publisher itself. Two philosophies, and neither removes the contractual risk above.
Nature, scope, dependencies: the table
| Criterion | PhantomBuster | Evaboot |
|---|---|---|
| Nature of the tool | Automation catalogue: extraction and actions | Single export and cleaning chain |
| Platforms covered by the documentation | LinkedIn, Instagram, Facebook, X/Twitter, YouTube | Sales Navigator |
| Third-party subscription needed to start | No, on a standard LinkedIn search | Yes, active Sales Navigator seat |
| Billing unit | Execution time, in hours per month | Credit: 1 per lead, 1 per verified email |
| Actions on the network (invites, messages) | Yes | No |
| Documented daily ceiling per account | 1,000 results per day, 1 launch; 2,500 for a heavily used premium account or Sales Navigator Advanced Source | 2,500 leads per seat, enforced by the tool Source |
| Carry-over of unused units | No, resources reset each cycle | Yes, while the subscription is active |
| Phone numbers | Not listed among plan credits | No, third-party partner suggested |
The grid: what you already have, what you want
- You already hold a Sales Navigator seat and a working search, and want a clean file with verified emails: Evaboot answers directly, and its daily ceiling spares you any tuning.
- You have no Sales Navigator and do not plan to buy one: Evaboot will not start. PhantomBuster still works on a standard LinkedIn search, at a lower ceiling.
- You want to act, not only extract (invite, follow up, follow): only PhantomBuster does it, and Evaboot does not claim to.
- Your need goes beyond LinkedIn: PhantomBuster.
- Your volume is steady and you want a cost per row: the credit budgets cleanly, the hour much less.
- You need phone numbers: neither, plan a separate source.
One case falls outside this frame: when the target is not a person on LinkedIn but a French establishment that has to be tied back to the official register. Neither tool answers, and that is no reproach: their raw material is the self-declared profile, not the registration. The Sirene register holds close to 25 million businesses and 36 million establishments, updated daily and published free of charge Source, Insee, 2026. That is outsend's ground: start from a list of establishments pulled off a map, then attach SIRET, SIREN, VAT and trade register numbers, by application and free during alpha (request free alpha access). For targeting by role and by person, the LinkedIn chain remains the right answer.
Four things to check before you subscribe
Can I use PhantomBuster and Evaboot on the same LinkedIn account?
Technically yes, but Evaboot advises against it: its published rule is not to use another LinkedIn extraction tool on the same account the same day, because the combined volumes put that account at risk Source, Evaboot, 2026. Alternate the days, or separate the accounts.
How many leads can a single Sales Navigator search return?
Up to 2,500 leads or 1,000 accounts, a ceiling imposed by LinkedIn, which stops paginating beyond it. The recommended method is to split the search by headcount, geography or industry and export each segment Source, Evaboot, 2026.
Is execution time consumed when a phantom fails?
Yes, which is why the publisher recommends pausing an automation hit by a known incident, to avoid failed runs and wasted execution time Source, PhantomBuster, 2026. On a 20-hour monthly plan, a few days of looping failures show up.
Which of the two protects my LinkedIn account better?
The question is put the wrong way round: neither protects in any strict sense. PhantomBuster documents recommended volumes while stating that they reduce risk without guaranteeing outcomes Source, PhantomBuster, 2026, and notes elsewhere that manual actions count toward the same totals as automated ones Source, PhantomBuster, 2026. Evaboot enforces a ceiling you cannot exceed. The second cuts the surface for human error, the first leaves more latitude. The prohibition in the LinkedIn user agreement is unchanged either way.