Tools & Safety9 min read
Commenti vs Phantombuster: A Phantombuster Alternative for Comments
Phantombuster alternative for LinkedIn commenting: how a broad scraping and outreach platform compares with Commenti's focused comment automation on scope and risk.
By Deepak Yadav, Founder, Ampliflow
The short version
- Phantombuster is a cloud lead-generation platform: scraping, enrichment, and outreach automations across 15+ platforms. Commenti automates LinkedIn commenting and nothing else.
- Phantombuster's LinkedIn Auto Commenter posts comments you wrote yourself, supplied in a Google Sheet alongside the post URLs, and randomizes between the options you give it.
- Commenti writes each comment against the specific post in your voice, finds posts by creator and keyword, and ships with daily caps, skip filters, and an approve step.
- Phantombuster lists Start, Grow, and Scale at $69, $159, and $439 per month, roughly 20% less billed annually. Commenti is $19 to $49 per month billed yearly for 20 to 60 AI comments a day.
- If what you want is a scraping and outreach toolkit, Phantombuster is the right answer and Commenti is not a substitute for it.
Where a Phantombuster alternative built only for comments differs
Commenti picks up the two steps on either side of the posting action:
- Finding posts. You name creators and keywords, and Commenti watches those feeds. There is no URL spreadsheet to keep alive.
- Writing the comment. Each comment is generated against that specific post, in a voice learned from your own writing, rather than pulled from a fixed list.
- Skip filters. Posts you should not touch get passed over: layoffs, grief, sensitive news, topics outside your lane.
- Approve or autopost. Review everything, or let it run once the output has earned your trust.
- Daily caps and randomized pacing, because bursts of instant comments are the loudest automation signal there is.
The caps deserve their rationale. We sell 20, 40, and 60 comments a day by tier and no unlimited plan, because volume is the single biggest driver of enforcement risk. It is quietly reassuring that Phantombuster's own FAQ lands nearby, suggesting you stay below 80 comments a day. When a scraping platform and a commenting tool arrive at "keep it boring" independently, the number is probably real.
Here is the thing only we would say: the hardest problem in comment automation is not generation, it is refusal. Deciding not to comment. Most of the value in our skip filters is in the comments they never write, which is an awkward feature to market because the customer never sees the output. If you want the strategic frame behind any of this, our LinkedIn commenting strategy piece covers why comments beat posts for most people starting out.
Comments are not outreach, and that line runs right through this comparison
Phantombuster's centre of gravity is prospecting. Its own workflow examples chain the Auto Commenter between an activity extractor and Auto Connect or Message Sender: warm the prospect with a comment, then send the request. That is a legitimate play and the Auto Commenter is a sensible component of it.
Commenti does not do that half. No connection requests, no DMs, no lead lists, no exports. Outreach tools like Dripify, Expandi, HeyReach, Dux-Soup, and Waalaxy are a separate category with a separate risk profile, because inbox actions generate complaints in a way that a public comment does not. Someone who ignores your comment ignores it. Someone annoyed by your fourth follow-up DM reports you.
That distinction should drive your choice more than any feature table. If the goal is pipeline, you want outreach tooling. If the goal is that people in your niche start recognising your name before you ever pitch them, you want engagement tooling, and the difference between the two is covered in our rundown of the best LinkedIn comment automation tools.
Scope and price, side by side
| Phantombuster | Commenti | |
|---|---|---|
| Core job | Lead gen automation: scrape, enrich, reach out | Comment automation only |
| Comment source | Comments you write in a Google Sheet, randomized | Generated per post, in your voice |
| Post selection | URLs you supply or chain from another Phantom | Creators and keywords you name |
| Scraping and exports | Yes, central to the product | No |
| Connection requests and DMs | Yes, via separate Phantoms | No, by design |
| Skip filters and approve mode | Not part of the Auto Commenter | Yes |
| Metering | Execution hours, slots, credits | Comments per day |
| Pricing | $69, $159, $439 per month; about 20% less annually | $19, $29, $49 per month billed yearly |
| Free option | Free trial tier, limited hours and 10-row exports | 60 days free for the first 200 users |
Two notes on those numbers. Phantombuster's pricing page listed Start, Grow, and Scale at $69, $159, and $439 per month in July 2026, or $56, $128, and $352 per month when billed annually, alongside a free trial tier capped at two execution hours and ten-row exports. Check phantombuster.com/pricing for current tiers. Commenti's tiers are $19, $29, and $49 per month billed yearly for 20, 40, and 60 AI comments a day, with 60 days free for the first 200 users. Those tiers are built around 20-60 new followers a day; results vary by niche, profile, and account history.
The metering difference matters more than the headline gap. On Phantombuster you buy platform capacity, and commenting draws down the same execution hours as your scraping jobs, so a heavy engagement habit competes with your lead pipeline for budget. On Commenti you buy comments per day and nothing else.
The risk conversation both of us owe you
LinkedIn's User Agreement prohibits third-party automation. That covers Phantombuster's Phantoms, it covers Commenti, and it covers every product in this category. We operate against that policy and we say so, because a comparison that quietly skips it is selling you something.
Credit where it belongs: the Auto Commenter's page is unusually candid about pacing and account signals, and it tells you to stop when LinkedIn pushes back. Most tools in this space would rather you did not read that.
The real difference is where the safeguards live. On Phantombuster they are guidance you follow by configuring each launch carefully, which works well for the operator who enjoys tuning workflows and fails quietly for the one who does not. In Commenti they are defaults: the cap is the plan you bought, pacing is randomized without a setting, skip filters run whether you remember them or not, and approve mode keeps a person in the loop. Neither design makes an account immune. Reduce is the only verb we will use. Our longer take on where the line sits, including the accounts we think should not automate at all, is in is LinkedIn automation safe.
Which one should you pick?
Choose Phantombuster if you need to extract data, enrich lists, sync a CRM, or run connection and messaging sequences. It is a broader, older, more flexible product, and for a prospecting operation it is the better tool by a wide margin. Commenting there is one Phantom among many, and if your comment volume is modest and you enjoy managing a spreadsheet, that is a perfectly reasonable place to run it from.
Choose Commenti if commenting is the channel rather than a warm-up step, and you want the comment itself to be good: specific to the post, in your voice, filtered, capped, and approvable. Our head-to-heads with Commenti vs Taplio and the wider case for AI comments for LinkedIn cover the neighbouring options.
Our honest limits, stated plainly: Commenti has no scraper, no exports, no enrichment, no CRM sync, no DMs, and no scheduler. If your week is built around finding and qualifying leads, we will feel like nine tenths of a product is missing, because for that job it is. If your week is built around showing up thoughtfully in other people's comment sections, that is the whole thing we built, and 60 days is long enough to find out whether it moves your numbers.
Frequently asked questions
Is Commenti a good Phantombuster alternative?
Only if the Phantom you actually use is the LinkedIn Auto Commenter. Commenti replaces that one job with more depth: it finds the posts, writes each comment against the post in your voice, and enforces caps and skip filters. It does not scrape, enrich, export, or message. If you rely on any of that, Phantombuster is not replaceable by us.
What does Phantombuster's LinkedIn Auto Commenter actually do?
You supply your LinkedIn session cookie, a Google Sheet of post URLs, and your own comment text, with one or several options per run. The Phantom posts them, randomly picking between your options, at a volume you set per launch, then returns a CSV or JSON log with the comment text and timestamp for each post.
What does Phantombuster cost compared to Commenti?
Phantombuster's pricing page listed Start at $69, Grow at $159, and Scale at $439 per month in July 2026, or $56, $128, and $352 per month billed annually, plus a free trial tier. Plans are metered by execution hours, slots, and credits. Commenti is $19, $29, or $49 per month billed yearly for 20, 40, or 60 AI comments a day.
Does Commenti scrape LinkedIn or send connection requests?
No to both, on purpose. Commenti is comment automation: it posts comments on other people's posts and stops there. It builds no lead lists and sends no DMs or invitations. Outreach tools such as Dripify, Expandi, HeyReach, Dux-Soup, and Waalaxy sit in a different category with a different risk profile.
Is either tool allowed by LinkedIn?
No. LinkedIn's User Agreement prohibits third-party automation, which covers Phantombuster's Phantoms, Commenti, and every tool in this space. Enforcement risk is real and scales with volume, speed, and generic output. The honest question is how much a tool's design reduces that risk, not whether any tool removes it.
Written by the team building Commenti on real LinkedIn growth data. Found an error? Tell us and we’ll fix it. Accuracy beats winning.
Founder, Ampliflow
Builds Commenti at Ampliflow, and has worked across 80+ startups as an AI micro-SaaS builder. Writes about what the product data actually shows, including the parts that are inconvenient. Commenti is the LinkedIn comment automation tool by Ampliflow.
Shopping for a Phantombuster alternative is worth one clarifying question first: which part are you replacing? Phantombuster is a cloud platform for scraping, enriching, and messaging leads across a long list of sites. Commenti automates one thing, writing and posting LinkedIn comments in your voice. Those are different products with one small overlap.
We build Commenti, so read this comparison with that in mind. We are also going to say the unhelpful-sounding thing early: if you want an automation toolkit, Phantombuster is the better buy and we are not a replacement for it.
What Phantombuster is genuinely good at
Phantombuster has been running since 2016 and the product shape reflects that maturity. Automations run in its cloud, so once a job launches you can close your browser. Each automation is a Phantom that performs a single task, and prebuilt chains of Phantoms are Workflows. The library covers LinkedIn and Sales Navigator plus a wide spread of other platforms, and the company says you can extract live data from 15 or more of them.
The three pillars are coherent. Find leads by extracting live activity rather than buying a stale list. Build better lists by enriching and segmenting them against a large set of data points. Then reach out, with AI-assisted personalization feeding DMs, connection requests, likes, and event invites. Every plan, free trial included, lists an MCP server, so you can drive the platform from Claude or ChatGPT, which is a genuinely forward-looking piece of engineering for this category.
Something else earns credit. Phantombuster's own explainer page publishes a list of people it is a poor fit for, including anyone expecting a purchased list, anyone wanting mass outreach on autopilot, and anyone unwilling to learn a workflow tool. Vendors almost never write that paragraph. It is the same instinct that makes us publish our daily caps instead of selling an unlimited plan.
What the LinkedIn Auto Commenter actually does
This is the Phantom that brings people here from searches about automated LinkedIn comments, so the mechanism is worth spelling out. None of what follows is a knock. It is a design choice, and once you see it the whole comparison resolves.
You give the Auto Commenter three things: your LinkedIn session cookie, a Google Sheet of post URLs, and your own comment text in the next column, with one or several options. It posts those comments, randomly selecting among the options you wrote, at a volume you set per launch, and it hands back a CSV or JSON log with the comment text and timestamp for every post it touched. You can set it on repeat.
So the Phantom automates the clicking. It does not do the finding, and it does not do the writing. Phantombuster's own best-practice notes are consistent about this: write comments that add value or start a conversation rather than generic reactions, start with 10-20 a day, vary your text, pace your launches, and pause if LinkedIn prompts you with a security check. A separate article on their blog goes further and suggests drafting with AI, editing by hand, and approving each comment before it posts. We agree with every line of that.
The gap shows up in week two. Maintaining a spreadsheet of fresh post URLs is manual labour, and a rotation of five prewritten lines spread across forty unrelated posts produces exactly the generic output their own documentation warns you against. The tool is honest about what it is. It is a poster, not a writer.