Apify vs PhantomBuster
An independent, review-free comparison compiled by the SaaSTracker editorial team. Both products are profiled in full, and neither can pay for placement here.
The short answer
Editorial assessmentApify compared with PhantomBuster
Overlapping on social platforms and different everywhere else. PhantomBuster is purpose-built for LinkedIn, Instagram, and similar networks, with session-cookie handling, sensible daily limits, and sequenced workflows aimed squarely at outbound teams. Apify covers those platforms too, through Store Actors of varying quality, and covers everything else besides. A GTM team whose entire need is LinkedIn automation will find PhantomBuster more opinionated and less fiddly; a team scraping maps, marketplaces, job boards, and LinkedIn will not want four vendors.
Choose Apify if
Growth, RevOps, and data teams that need custom web data at a scale a manual list build cannot reach, and that want ready-made scrapers for the common sources with an escape hatch into custom code when a target is unusual. Also strong for anyone wiring web data into an AI agent through MCP.
Choose PhantomBuster if
Operators and technical marketers who want raw LinkedIn and Sales Navigator data on a schedule, feeding a pipeline they assemble themselves, and who are comfortable configuring their own rate limits rather than buying an opinionated campaign tool.
Side by side
13 attributes| Attribute | Apify | PhantomBuster |
|---|---|---|
| Category | GTM Engineering | |
| Starting price | Free with $5 of monthly platform credit; paid plans from $29 per month ($26 billed annually) (free plan available) | $69 per month (Start), or $56 per month billed annually (free plan available) |
| Pricing model | Prepaid platform credit with usage metered against it. Each plan includes a monthly credit allowance equal to its price, consumed by compute units (memory multiplied by run time), proxy bandwidth, storage operations, and data transfer. Rented or paid Store Actors carry their own fees on top, set by the Actor's developer as a monthly rental, a per-event charge, or a per-result charge. Seats are not the pricing axis; usage is. | Metered subscription: each tier bundles a monthly allowance of execution time, configured automation slots, AI credits, and email credits. Allowances reset monthly and do not roll over. |
| Free plan | $5 of platform credit per month, community support, limited trial access to rented Actors, and access blocked rather than billed once credit is spent | A permanent free plan after the trial with roughly 30 minutes of execution time per month, one slot, 50 MB of storage, no AI or email credits, and the 10-row export cap still in force. It is a demo, not a working tier. |
| Free trial | Free plan with no credit card required, plus limited trials on most paid Store Actors | 14 days, no credit card, all features unlocked with 2 hours of execution time, 5 slots, 1,000 AI credits, and 50 email credits, but exports capped at 10 rows per file |
| Best for | Growth, RevOps, and data teams that need custom web data at a scale a manual list build cannot reach, and that want ready-made scrapers for the common sources with an escape hatch into custom code when a target is unusual. Also strong for anyone wiring web data into an AI agent through MCP. | Operators and technical marketers who want raw LinkedIn and Sales Navigator data on a schedule, feeding a pipeline they assemble themselves, and who are comfortable configuring their own rate limits rather than buying an opinionated campaign tool. |
| Setup time | Minutes for a first Store Actor run: sign up, pick an Actor, fill the form, export a CSV. A scheduled pipeline with proxy configuration, webhooks, and a downstream destination is a half day. A custom Actor is a normal software project, measured in days, and its length depends on how hard the target defends itself rather than on Apify. | About an hour to a first useful result. Sign up, install the extension, capture the LinkedIn session cookie, pick a Phantom, paste a search URL, and launch. Building a Flow that chains three Phantoms and fires a webhook is a half day. |
| Learning curve | Low to run existing Actors, moderate to operate the platform well. The two things that take time are understanding the cost model well enough to predict a bill, and learning which proxy and browser settings a given target requires. Writing Actors requires working JavaScript or Python. | Moderate and genuinely the main barrier. You have to internalize four concepts (Phantom, slot, execution time, container) before the pricing page makes sense, and the difference between a Phantom that finishes in four minutes and one that eats four hours is not obvious until you have run both. |
| Platforms | Web console, REST API, JavaScript and Python API clients, Apify CLI, Docker-based Actor runtime, Hosted MCP server | Web application, Chrome extension (session cookie capture only), Cloud execution, nothing runs on your machine, REST API, Webhooks |
| Compliance | GDPR, SOC 2 Type II, CCPA | GDPR (French company subject to EU data protection law), Data processing agreement available |
| Founded | 2015 | 2016 |
| Headquarters | Prague, Czech Republic | Paris, France |
| Ownership | Independent, venture-backed | Privately held, lightly venture-backed |
Strengths and limitations
Apify
Strengths
- The Store is the moat: for most common data sources, someone has already built, debugged, and now maintains the scraper, which collapses a two-week project into an afternoon of configuration.
- Real infrastructure underneath, with proxies, headless browsers, storage, scheduling, and retries handled rather than left as an exercise.
- Genuinely usable free tier with $5 of monthly credit, no credit card, and full API and MCP access, so evaluation costs nothing.
- Crawlee is open source and runs anywhere, which meaningfully limits lock-in for teams writing their own crawlers.
Limitations
- Compute-unit billing is hard to predict before you run a job, because cost is memory multiplied by time and both depend on how the target site behaves that day.
- Included platform credit expires monthly with no rollover, so buying a tier for occasional heavy months means paying for unused capacity in the quiet ones.
- Store Actor quality is uneven; some are abandoned, some break silently when a target site changes markup, and the run-success statistics on the Actor page are the only pre-purchase signal.
- Paid Actors add a second billing layer on top of platform credit, and the total cost of a workflow is not visible from any single number on the pricing page.
PhantomBuster
Strengths
- The broadest automation catalogue in the category by a wide margin, covering LinkedIn, Sales Navigator, Instagram, X, Facebook, Google Maps, and generic web scraping in one subscription.
- Genuinely excellent data plumbing: CSV and JSON results retained per run, webhooks on completion, a real REST API, Google Sheets sync, and Flows for chaining steps.
- Post engagement, group, and event extraction produce higher-intent audiences than filter-based search, and few competitors do all three well.
- Cloud execution means Phantoms run on a schedule with your machine off, unlike extension-based tools that only work while a browser is open.
Limitations
- No dedicated country-matched residential IP per LinkedIn account. Your session cookie is used from PhantomBuster's cloud, which is a weaker location story than Expandi, Closely, SalesRobot, or LinkedCamp offer, and it is the main reason experienced operators keep PhantomBuster for scraping and send from something else.
- Safety is your responsibility. Rate settings are configurable and the vendor does not enforce a hard ceiling or a warm-up ramp, so an inexperienced user can quite easily configure their way into a restriction.
- The session cookie breaks. Logging out, changing password, or a LinkedIn security event kills your Phantoms until you refresh the cookie, and this is a recurring operational chore.
- No unified inbox, no reply detection, and no conversation view. Sending is possible, managing the conversation that follows is not.
Pricing compared
Apify
Prepaid platform credit with usage metered against it. Each plan includes a monthly credit allowance equal to its price, consumed by compute units (memory multiplied by run time), proxy bandwidth, storage operations, and data transfer. Rented or paid Store Actors carry their own fees on top, set by the Actor's developer as a monthly rental, a per-event charge, or a per-result charge. Seats are not the pricing axis; usage is.
- Free$0
- Starter$29
- Scale$199
- Business$999
Judged against building the same thing yourself, Apify is inexpensive: a residential proxy pool, headless browser fleet, retry logic, and storage would cost more than $29 a month in engineering attention alone, before any infrastructure. Judged against a fixed-price scraping tool, it is harder to compare, because you are buying capacity rather than a defined output, and the honest answer for month one is that you cannot forecast the bill precisely. The mitigation is straightforward: run the job once at a small limit, read the usage breakdown, multiply. Teams that do this usually find the real cost of a recurring list build lands in the tens of dollars a month, and teams that skip it are the ones who write reviews about unpredictable pricing.
PhantomBuster
Metered subscription: each tier bundles a monthly allowance of execution time, configured automation slots, AI credits, and email credits. Allowances reset monthly and do not roll over.
- Start$69
- Grow$159
- Scale$439
Priced as a data platform, PhantomBuster is fair: $159 a month for eighty hours of scheduled extraction plus 2,500 email credits undercuts buying scraping and enrichment separately, and the export, webhook, and API surface is better than anything else in this category. Priced as a LinkedIn outreach tool it is poor value, because at $159 you could have Expandi's safety architecture or HeyReach's multi-account inbox instead, and PhantomBuster gives you neither. Judge it on the data pipeline, not the sending, and the arithmetic works. For a single user running one account it is expensive relative to Dux-Soup or Octopus CRM; for a five-account agency it is cheap per account but offers nothing built for agency operations, which is exactly the wrong trade.
Editorial verdict on each
Apify
Apify is the most complete web scraping platform a small team can buy without a sales call, and its real asset is the Store: for the sources most go-to-market teams need, someone has already written and is still maintaining the scraper, which is the difference between a two-week engineering project and an afternoon. Underneath it, the proxy pool, browser fleet, storage, and scheduling are the parts people underestimate until they have tried to build them, and Crawlee being open source keeps the lock-in honest. The MCP server has made it one of the more useful data sources to hand an AI agent. The cost of all this is a billing model you have to learn: compute metered by memory times time, credit that expires monthly, and a second layer of fees on paid Actors that no headline price reflects. Budget an hour to measure one representative job before committing, set a spending limit on day one, and check an Actor's success rate before you depend on it. Do those three things and it is very good value; skip them and you will write one of the reviews about unpredictable pricing.
Read the full Apify profilePhantomBuster
InnovationPhantomBuster is the best data-extraction tool in this category and a mediocre outreach tool, and buyers get into trouble by not deciding which one they are buying. The Phantom catalogue, the Flows, the webhooks, the API, and the retained CSV and JSON results make it the obvious choice for anyone whose real requirement is a scheduled supply of clean LinkedIn and Sales Navigator data feeding something else. Post, group, and event extraction alone justify the subscription for many teams. But it does not run your account from a dedicated country-matched IP, it enforces no warm-up ramp or hard daily ceiling, and it has no inbox, so using it as your primary sender means accepting more account risk than a purpose-built vendor imposes, in exchange for features you would not use anyway. Buy it for the data. Send from something built for sending.
Read the full PhantomBuster profileApify profile last reviewed 2026-08-23; PhantomBuster last reviewed 2026-08-22. Pricing is compiled from public sources and can change without notice. See our methodology.