Apify vs Octoparse
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
Both sides assessedApify compared with Octoparse
Octoparse is the desktop-first visual scraper: build the extraction by clicking through a page in its own browser, run locally or in its cloud, on a fixed monthly plan. That predictability is its real selling point against Apify's usage meter. Apify wins on scale, on infrastructure quality, on the breadth of ready-made Actors, and on being programmable end to end. If nobody on the team writes code and the volumes are modest, Octoparse is the easier purchase; if scraping is becoming a system rather than a task, Apify is the one that keeps working.
Octoparse compared with Apify
Apify is the developer-facing version of this market: a marketplace of thousands of Actors plus a platform for running your own Node or Python scrapers, priced by compute and usage. Octoparse is a single visual product with fixed subscription tiers. Apify wins on flexibility, ecosystem breadth, and the ability to hand a scraper to an engineer to modify; Octoparse wins on time-to-first-dataset for someone who will never open a code editor, and its flat pricing is easier to forecast than usage-based compute.
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 Octoparse if
Small go-to-market, research, and ecommerce teams that need recurring structured data from websites with no scraping API, have nobody to write and babysit a Python crawler, and want the extraction to run on someone else's infrastructure on a schedule.
Side by side
13 attributes| Attribute | Apify | Octoparse |
|---|---|---|
| Category | GTM Engineering | GTM Engineering |
| Starting price | Free with $5 of monthly platform credit; paid plans from $29 per month ($26 billed annually) (free plan available) | Free for 10 tasks and 50,000 exported rows per month; paid plans from $58 per month billed annually ($69 monthly) (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. | Per-account subscription priced by number of tasks (saved scrapers) and concurrent cloud runs, not by rows or requests. A permanent free plan covers local extraction only; cloud runs, scheduling, IP rotation, and CAPTCHA solving all sit behind the first paid tier. Annual billing carries roughly a 16 percent discount, and an Enterprise tier is quote-only. |
| 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 | 10 tasks, 1 user, 1 device, 2 concurrent local runs, 50,000 rows exported per month with a 10,000-row cap per export, last 5 run histories, no cloud extraction |
| Free trial | Free plan with no credit card required, plus limited trials on most paid Store Actors | No standalone trial; the free plan serves as the evaluation path, and paid plans carry a 5-day money-back guarantee |
| 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, research, and ecommerce teams that need recurring structured data from websites with no scraping API, have nobody to write and babysit a Python crawler, and want the extraction to run on someone else's infrastructure on a schedule. |
| 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. | Under an hour from download to a first working scraper on a straightforward listing page, largely because auto-detect does the initial configuration. A complex multi-level workflow with logins and conditional branches is a half-day exercise the first time and much faster afterwards. |
| 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, moderate to master. The clicking layer is genuinely accessible. What takes longer is learning the failure modes: when to override auto-detect, how long to set waits on JavaScript-heavy pages, when a loop is matching too many elements, and how to read a run that returned 40 rows instead of 400. |
| Platforms | Web console, REST API, JavaScript and Python API clients, Apify CLI, Docker-based Actor runtime, Hosted MCP server | Windows desktop app (Windows 10 64-bit or higher), macOS desktop app, Web dashboard for cloud task management, Browser-based free web tools |
| Compliance | GDPR, SOC 2 Type II, CCPA | GDPR-aligned data handling, CCPA, Standard cloud infrastructure security controls |
| Founded | 2015 | 2016 |
| Headquarters | Prague, Czech Republic | Walnut, California, United States |
| Ownership | Independent, venture-backed | Independent, privately held (Octopus Data Inc.) |
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.
Octoparse
Strengths
- One of the most capable point-and-click builders in the category: loops, branches, detail-page drill-down, and login handling without writing a selector.
- Auto-detect produces a working scraper from a bare URL on most listing pages, which collapses the first hour of work to a minute.
- Cloud extraction with IP rotation, residential proxies, and CAPTCHA solving is bundled into the subscription rather than billed as separate infrastructure.
- Concurrency is a purchasable dial: 20 parallel cloud runs on Professional turns multi-day crawls into overnight ones.
Limitations
- No custom JavaScript injection and no Playwright or Puppeteer style control, so interaction patterns the visual actions cannot express are simply out of reach.
- Workflows live inside the application and are not text you can version, review, or deploy through CI, which is a hard blocker for engineering-led teams.
- The free plan has no cloud runs, no scheduling, and no IP rotation, making it an evaluation sandbox rather than a small working pipeline.
- Support is email and ticket based with no live chat, and response priority is tied to plan tier, which is slow when a scraper breaks on a deadline.
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.
Octoparse
Per-account subscription priced by number of tasks (saved scrapers) and concurrent cloud runs, not by rows or requests. A permanent free plan covers local extraction only; cloud runs, scheduling, IP rotation, and CAPTCHA solving all sit behind the first paid tier. Annual billing carries roughly a 16 percent discount, and an Enterprise tier is quote-only.
- Free$0
- Standard$58
- Professional$209
- EnterpriseCustom
At $58 per month annually, Standard is priced roughly where a mid-tier scraping API or a single seat of a sales database sits, and for a team running a handful of recurring extractions it is straightforwardly cheaper than the engineering time it replaces. The value case weakens in two directions. Downward, the free plan's lack of cloud runs means many small users get nothing usable without paying, unlike tools whose free tier is a working, if small, pipeline. Upward, the $209 Professional tier is a large step for what is mostly concurrency, and a team comfortable with code can rent the same throughput from a request-level API for less. Octoparse is worth its price precisely when nobody on the team wants to write or maintain a scraper, and it stops being worth it the moment someone does.
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 profileOctoparse
Octoparse is the mature answer for a team that needs recurring web data and has nobody to write a scraper. The visual builder is genuinely more capable than the browser extensions it competes with at the low end, auto-detect removes most of the setup friction, and the cloud tier bundles proxies, CAPTCHA solving, scheduling, and concurrency into one predictable subscription rather than four separate infrastructure bills. The May 2026 MCP server is a real addition rather than a press release, because it lets an agent call the tool instead of a person opening it. The honest caveats are that the free plan is an evaluation sandbox and not a working pipeline, that workflows are trapped in the app with no version control or custom JavaScript, that support is email-only when a scraper breaks on a deadline, and that the hardest anti-bot targets still defeat it. Buy it at Standard when the alternative is a spreadsheet and a copy-paste habit; look at an API-first tool the moment an engineer is available to use one.
Read the full Octoparse profileApify profile last reviewed 2026-08-23; Octoparse last reviewed 2026-08-23. Pricing is compiled from public sources and can change without notice. See our methodology.