"Phantombuster alternative" is a query built on a misunderstanding, and clearing it up is the first useful thing anyone can do for you. The suggestions that travel with it revolve around three words: free, open source, for linkedin. They do not describe the same problem, nor the same job. Before comparing anything, you have to separate two needs that Phantombuster handles in one interface and that its alternatives handle separately. This article takes no side: it gives you what you need to decide, including the decision to stay on Phantombuster.
One query, two needs that have nothing in common
Need 1: act on a social platform. Visit profiles, send connection requests, follow up on a conversation, pull the members of a group or the people who commented on a post. This is Phantombuster's home ground, along with its direct competitors (Waalaxy, Expandi, La Growth Machine, HeyReach, Dripify, among others). The output is profile data, and the action runs through an account.
Need 2: build a list of companies to approach. A business name, an address, a phone number, a website, then the legal entity behind it: registration number, legal form, directors, active or struck off. Here the starting point is not an account on a platform, it is a territory and an activity. Different job, different data model, different legal regime.
Worth stating immediately so you do not waste time: outsend is not on need 1. We automate no action on LinkedIn, no profile visit, no connection request, no message, and we do not intend to. If that is what you are looking for, the next section is for you and ours is not.
What Phantombuster gets right, and what execution time implies
Three things the tool genuinely does well, and that any alternative has to match before claiming to replace anything.
The catalogue. Ready-made automations covering LinkedIn and Sales Navigator, but also other platforms, usable without writing a line of code. For a common use case there is almost always a phantom already written and documented.
Chaining. The output of one automation becomes the input of the next, with scheduling. You can build a complete sequence (extract, enrich, connect, follow up) without a developer. That is the platform's real value, more than any single block taken on its own.
The community. Recipes circulate and field reports are plentiful on forums: when a phantom misbehaves, someone has usually already written down why. On a tool that depends on moving third-party platforms, that matters.
Now the structural point, and it concerns the billing unit more than the amount: Phantombuster meters execution time. According to the vendor's official page, the free plan gives 30 minutes of execution per month, 1 slot and 50 MB of storage, with no AI or email credits; the paid plans include 20 hours (Start, $69 per month), 80 hours (Grow, $159) and 300 hours (Scale, $439), with effective monthly prices of $56, $128 and $352 on annual billing and 5, 15 and 50 slots respectively (PhantomBuster, official page, 2026).
What this changes: the meter runs while the automation runs, regardless of how many results come out. A slow page, an infinite scroll, a retry after a failure all burn time without producing one extra row. The model therefore rewards short, predictable, repeated tasks, and gets uncomfortable on long extractions over heavy pages. That is not a flaw, it is a load profile: if yours is made of brief repeated sequences, the model works in your favour.
If your need is acting on LinkedIn
In that case your alternative sits among the other social automation tools, and Phantombuster often remains the best choice in the category, precisely because of the catalogue and the chaining. The differences between these tools come down to three concrete points: execution as a browser extension or in the cloud, the presence or absence of a unified inbox, and how daily quotas are capped.
The criterion few comparisons put forward is the one with the heaviest consequences: the risk sits with the account holder, not with the tool. LinkedIn's user agreement explicitly forbids developing, supporting or using "software, devices, scripts, robots or any other means or processes" to scrape or copy the services, as well as using "bots or other unauthorized automated methods" to access the service, add contacts or send messages (LinkedIn User Agreement, section 8.2, 2026). No vendor can guarantee you against an account restriction. We have documented separately what LinkedIn data extraction actually covers and which methods stay clean.
If your need is the list of companies to approach
Here the reasoning changes entirely, because the source changes. For European company targeting, legal identity is public data: the French Sirene register holds close to 25 million companies and 36 million establishments recorded since 1973, with data updated daily (Insee, 2026), published under Open Licence version 2.0 (data.gouv.fr, Sirene database, 2026). A list built on that foundation is traceable, verifiable and stable, which a list of social profiles is not. If the identifiers are unfamiliar, we explain how SIREN and SIRET numbers work and their equivalents elsewhere.
This is outsend's ground. The starting point is an area and an activity on the map: extracting businesses from Google Maps with CSV export across 199 countries, then automatic enrichment with SIRET, SIREN, VAT and trade register numbers, the legal data, company form and directors that qualify the list, the additional phone numbers found on the company website, and email verification. No personal account is exposed, because nothing runs through a social session. The platform is open on application, free during the alpha.
Where the approach stops has to be said too. If your target is a person identified by job title rather than a business identified by its address, the map will not help you: a purchasing director cannot be extracted from a pin on Google Maps. If you prospect in countries without an open public register, the legal layer will not be available. And if your whole commercial sequence rests on the LinkedIn connection request followed by reminders, no company data extractor will replace the tool that runs that sequence. For the side-by-side view of the two scopes, we set it out in our outsend and Phantombuster comparison.
"Free" and "open source": what the two words actually cover
Free. Phantombuster's free plan exists and is honest about what it is: 30 minutes of execution per month and 1 slot (PhantomBuster, official page, 2026). It is an evaluation plan, not a production plan. It serves to check that a phantom does what you think before committing anything, which is a perfectly legitimate use.
Open source. Watch the vocabulary, because the phrase covers two different realities. The self-hosted orchestrators often listed in this category are not all under a free licence: n8n, for instance, ships under the Sustainable Use License, which allows internal and non-commercial use but permits redistribution only free of charge and for non-commercial purposes, which rules out hosting it commercially for third parties (n8n, official licence file, 2026). For a small company using it internally that restriction has no practical effect; you simply need to know what you are agreeing to.
The genuinely free building blocks in this field are browser automation libraries, not products: no catalogue, no scheduling, no interface. Everything has to be written, and above all maintained. The real cost of a homemade scraper is not its price, it is the time spent repairing selectors that break every time a platform changes its markup, managing sessions and working around blocks. If your team has a developer available continuously, that is a serious option; otherwise it is debt. A middle path is to keep orchestration in house without rewriting the extractors, by plugging existing blocks into a no-code prospecting automation pipeline.
Four objective criteria, column by column
| Criterion | Social automation (Phantombuster and peers) | Company data extractor (outsend) | Self-hosted stack (orchestrator and browser) |
|---|---|---|---|
| Nature | Catalogue of ready-made, chainable automations | Application for extracting and enriching company data | Libraries and an orchestrator you assemble yourself |
| Data starting point | An account on the target platform | A geographic area and an activity on the map | Whatever you code |
| Field scope | Profile and social page data | Contact details, legal identity, directors, website tech stack, reviews | Whatever you write |
| Dependencies | Your session on the third-party platform | No personal session involved | Your own selectors, proxies and maintenance |
| Billing unit | Monthly execution time | Free alpha, on application | Your time and your hosting |
| Coverage | The platforms present in the catalogue | 199 countries on the map | Whatever you build |
| Legal register link (SIRET, company form) | No | Yes for France | To be wired in yourself |
Read this table column by column, not row by row. No column wins: they answer different questions, and plenty of teams run two of them in parallel without any inconsistency.
What still needs clearing up
Can Phantombuster produce a usable list of French companies?
It produces data from the platforms in its catalogue. The legal layer (registration number, company form, active or struck off status, directors) is not part of it, because that is not what the tool is for. If your sales rep needs to know who they are calling before they call, that step happens elsewhere, with Phantombuster as with most social automation tools.
Is the free plan enough for a serious test?
It is enough to confirm that a phantom does what you expect: 30 monthly minutes of execution leave room for several short runs (PhantomBuster, official page, 2026). It is not enough to measure the real cost of recurring use, which depends entirely on how long your runs take. The useful test is to time one representative run, then multiply by your monthly cadence.
Is there a true open source alternative?
Not in the sense of an equivalent product under a free licence. There are self-hosted orchestrators, some under a restrictive licence such as n8n's Sustainable Use License (n8n, official licence file, 2026), and browser automation libraries that require development work. In this field "free" describes the licence, not the cost of ownership.
Does automating LinkedIn put my account at risk?
The platform's user agreement forbids automated access and script-based extraction (LinkedIn User Agreement, section 8.2, 2026). The actual level of risk depends on your volumes and your caution, but the contractual responsibility stays yours: it is a trade-off to make knowingly.
Do you have to choose, or can you run both?
Plenty of teams run both, and it is often the most rational answer: the qualified list of businesses for calls and email, social automation for the LinkedIn channel. What costs money is not owning two tools, it is asking one of them to do the other one's job.