Apify vs Browse AI
An independent, review-free comparison compiled by the SaaSTracker editorial team. Both products are profiled in full, and neither can pay for placement here.
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The short answer
Both sides assessedApify compared with Browse AI
Different buyers. Browse AI is a point-and-click recorder aimed at people who will never open a terminal: you demonstrate the extraction in a browser, it monitors the page and alerts you on change, and pricing is a predictable monthly credit bundle. Apify assumes more technical comfort and gives far more in return: a marketplace of maintained scrapers, real proxy infrastructure, custom code deployment, and an API that a pipeline can be built on. Pick Browse AI for a handful of pages watched by a marketer; pick Apify when the job is thousands of pages, an unusual target, or feeding a system rather than a spreadsheet.
Browse AI compared with Apify
Apify is the developer platform: a marketplace of actors, a full SDK, proxy infrastructure, and per-compute pricing that rewards anyone willing to write or fork code. Browse AI is the no-code alternative with a narrower ceiling and a much shorter ramp. Apify wins outright on flexibility, scale economics, and control over hard targets; Browse AI wins when the buyer is non-technical and the job is recurring extraction plus monitoring into a sheet. Teams that outgrow Browse AI on volume usually land on Apify.
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 Browse AI if
Small go-to-market, ops, and research teams that need structured data off public websites without writing code: competitor price tracking, lead and listing collection, marketplace and job board monitoring, and keeping a spreadsheet or Airtable base continuously in sync with a live page.
Side by side
13 attributes| Attribute | Apify | Browse AI |
|---|---|---|
| Category | GTM Engineering | GTM Engineering |
| Starting price | Free with $5 of monthly platform credit; paid plans from $29 per month ($26 billed annually) | Free (50 credits per month, 2 websites); paid plans from $19 per month billed annually |
| 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. | Credit-based subscription. Every robot run and every monitor check consumes credits from a monthly allowance, with spend scaling to the volume of data captured and the complexity of the page. Plans also cap the number of distinct websites a workspace can target and the number of seats. Robots themselves are unlimited on every plan, including free. Annual billing is substantially cheaper than monthly. |
| 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 | 50 credits per month, 2 websites, 3 users, unlimited robots, hourly minimum monitoring interval |
| Free trial | Free plan with no credit card required, plus limited trials on most paid Store Actors | No time-limited trial; the free plan is permanent and gives full platform access |
| 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. | Small go-to-market, ops, and research teams that need structured data off public websites without writing code: competitor price tracking, lead and listing collection, marketplace and job board monitoring, and keeping a spreadsheet or Airtable base continuously in sync with a live page. |
| 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. | A first working robot on a straightforward page takes roughly ten to twenty minutes including the recorder install. A chained list-and-detail setup with pagination and a scheduled Airtable sync is closer to half a day, most of which is spent testing edge cases in the source data rather than configuring Browse AI. |
| 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. | Low to start and moderate to master. The recorder is genuinely approachable, but understanding why a robot returns eleven rows instead of forty, how to structure a chain, and how credits are being consumed takes a few real projects. There is no code escape hatch, so difficult pages are solved by reframing the approach rather than by scripting around the problem. |
| Platforms | Web console, REST API, JavaScript and Python API clients, Apify CLI, Docker-based Actor runtime, Hosted MCP server | Web application (cloud-hosted), Browser extension recorder for robot training, REST API, Webhooks |
| Compliance | GDPR, SOC 2 Type II, CCPA | GDPR, CCPA |
| Founded | 2015 | 2020 |
| Headquarters | Prague, Czech Republic | Vancouver, British Columbia, Canada |
| Ownership | Independent, venture-backed | Independent, seed-funded |
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.
Browse AI
Strengths
- The fastest path from a webpage to structured, scheduled data for someone who cannot write code: a working robot in roughly ten minutes.
- Monitoring and change detection are first-class, not an afterthought, which makes recurring price and listing tracking a native use case rather than a hack.
- Deep scraping through chained robots handles list-then-detail patterns that most no-code scrapers cannot express at all.
- Native Google Sheets and Airtable sync means the output lands where a small business already works, without an automation platform in the middle.
Limitations
- Credit consumption is not transparently formulated: cost per run varies with data volume and page complexity, so budgeting requires empirical testing rather than arithmetic.
- No pay-as-you-go credits on self-serve plans, so running out mid-month stops your pipelines until you upgrade or the cycle resets.
- Robots break when target sites are redesigned, and retraining is the recurring hidden cost users report most often; layout tolerance reduces the frequency but does not remove it.
- The 50-credit free tier is too small to genuinely evaluate a production job, which pushes real assessment onto a paid plan.
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.
Browse AI
Credit-based subscription. Every robot run and every monitor check consumes credits from a monthly allowance, with spend scaling to the volume of data captured and the complexity of the page. Plans also cap the number of distinct websites a workspace can target and the number of seats. Robots themselves are unlimited on every plan, including free. Annual billing is substantially cheaper than monthly.
- Free$0
- Personal$19 billed annually, $48 month to month
- Professional$69 billed annually, $87 month to month
- PremiumFrom $500
For a small team, the comparison is not against another scraper, it is against a contractor writing a Python script and then maintaining it. On that basis Personal at $19 a month on annual billing is very good value: a working monitor or a recurring extract is live the same day, with no repo, no proxies, and no server. The value case gets weaker as volume rises, because the credit meter is the pricing axis and it is genuinely hard to forecast, and it gets weaker again if your targets are complex or frequently redesigned, since the maintenance you were trying to avoid partially returns as retraining. Model your real job on the free plan first, note the credits it burned, then multiply.
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 profileBrowse AI
Ease of UseBrowse AI is the clearest answer to a specific question: how does a non-technical person get structured, scheduled data off a website they do not own? The recorder is genuinely usable, chained robots handle the list-then-detail pattern that defeats most no-code rivals, and native Google Sheets and Airtable sync means the output arrives where a small business already works. Monitoring is the underrated half of the product and often justifies the subscription by itself. The reservations are concrete rather than generic: credit consumption varies with page complexity and cannot be forecast from the price list, there is no top-up when you run out mid-month, plans cap distinct websites as well as volume, and target-site redesigns hand you retraining work you were trying to avoid. Public sentiment is also more mixed than the G2 average suggests, with billing and support responsiveness the recurring themes. Prove your actual job on the free plan, measure the credits it burns, and buy annually only once that number is known.
Read the full Browse AI profileApify profile last reviewed 2026-08-23; Browse AI last reviewed 2026-08-23. Pricing is compiled from public sources and can change without notice. See our methodology.
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Frequently asked questions
6 questionsWhat is the difference between Apify and Browse AI?
Different buyers. Browse AI is a point-and-click recorder aimed at people who will never open a terminal: you demonstrate the extraction in a browser, it monitors the page and alerts you on change, and pricing is a predictable monthly credit bundle. Apify assumes more technical comfort and gives far more in return: a marketplace of maintained scrapers, real proxy infrastructure, custom code deployment, and an API that a pipeline can be built on. Pick Browse AI for a handful of pages watched by a marketer; pick Apify when the job is thousands of pages, an unusual target, or feeding a system rather than a spreadsheet.
Is Apify or Browse AI cheaper?
Apify starts at Free with $5 of monthly platform credit; paid plans from $29 per month ($26 billed annually). Browse AI starts at Free (50 credits per month, 2 websites); paid plans from $19 per month billed annually. The billing models differ, so the entry price is rarely the whole cost. Apify 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. Browse AI pricing model: Credit-based subscription. Every robot run and every monitor check consumes credits from a monthly allowance, with spend scaling to the volume of data captured and the complexity of the page.
Does Apify or Browse AI have a free plan?
Apify has a 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. Trial terms: Free plan with no credit card required, plus limited trials on most paid Store Actors. Browse AI has a free plan. 50 credits per month, 2 websites, 3 users, unlimited robots, hourly minimum monitoring interval. Trial terms: No time-limited trial; the free plan is permanent and gives full platform access.
Who should choose Apify?
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.
Who should choose Browse AI?
Small go-to-market, ops, and research teams that need structured data off public websites without writing code: competitor price tracking, lead and listing collection, marketplace and job board monitoring, and keeping a spreadsheet or Airtable base continuously in sync with a live page.
What are the best alternatives to Apify and Browse AI?
SaaSTracker profiles 17 products in GTM Engineering. The Summer 2026 awards in the category went to Zapier (Category Leader), Make (Best Value), n8n (Momentum). Every profile is compiled from primary sources, so a shortlist can be built from pricing, limitations, and fit rather than from star ratings.
