n8n 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
Editorial assessmentOctoparse compared with n8n
Complementary rather than competing. n8n orchestrates: it can schedule an Octoparse run through the Data Export API, transform the rows, and push them into a CRM or warehouse. Its own HTTP and HTML nodes can scrape simple static pages, so light jobs never need Octoparse at all. Once a target requires clicking, scrolling, logging in, or rotating IPs, n8n calls Octoparse rather than replacing it.
Choose n8n if
Technical or semi-technical teams building long, multi-step automations, enrichment waterfalls, AI agents, and internal integrations, who want per-execution economics in the cloud or full data control self-hosted, and who are comfortable reading JSON when something breaks.
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 | n8n | Octoparse |
|---|---|---|
| Category | GTM Engineering | GTM Engineering |
| Starting price | About $24/mo (Cloud Starter, 2,500 executions; roughly $20 on annual billing) (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 | Two paths. Cloud: subscription tiers metered by workflow executions per month (a run is one execution regardless of step count), with unlimited workflows and steps on every tier. Self-hosted: the Community edition is free under the fair-code Sustainable Use License, with paid Business and Enterprise self-hosted tiers adding collaboration, SSO, environments, and support. Prices are quoted in euros; dollar figures shift slightly with exchange rates. | 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 | Self-hosted Community edition is free and unmetered on your own infrastructure | 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 | Cloud trial, no card required | No standalone trial; the free plan serves as the evaluation path, and paid plans carry a 5-day money-back guarantee |
| Best for | Technical or semi-technical teams building long, multi-step automations, enrichment waterfalls, AI agents, and internal integrations, who want per-execution economics in the cloud or full data control self-hosted, and who are comfortable reading JSON when something breaks. | 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 | Cloud: minutes to sign up, and a first webhook-to-Slack workflow the same hour. Self-hosted: a Docker one-liner for a test instance; a hardened production deployment with backups and HTTPS is a half-day for someone who has run containers before. | 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 | Steeper than task-based tools: expect a few days to internalize items, expressions, and node data mapping, typically via imported templates. Engineers acclimate almost immediately; operators without API experience need the templates and patience. | 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 app (cloud), Self-hosted (Docker, npm), Embedded (commercial license), REST API | Windows desktop app (Windows 10 64-bit or higher), macOS desktop app, Web dashboard for cloud task management, Browser-based free web tools |
| Compliance | SOC 2, GDPR | GDPR-aligned data handling, CCPA, Standard cloud infrastructure security controls |
| Founded | 2019 | 2016 |
| Headquarters | Berlin, Germany | Walnut, California, United States |
| Ownership | Venture-backed, founder-led | Independent, privately held (Octopus Data Inc.) |
Strengths and limitations
n8n
Strengths
- Per-execution pricing inverts the category's cost model; long, complex workflows, exactly the kind GTM engineering produces, are where it is cheapest relative to rivals.
- Free self-hosted Community edition provides a permanent exit ramp and full data sovereignty, a structural negotiating position no closed rival offers.
- Code nodes and the HTTP Request node remove the capability ceiling; if an API exists, n8n can drive it without leaving the canvas.
- LangChain-based agent nodes made it one of the fastest paths from 'AI idea' to 'AI in production', with approvals, retries, and logging around the model.
Limitations
- The learning curve is real: items, expressions, and JSON structure confront you in week one, and non-technical users often stall where Zapier would have carried them.
- The integration catalog (400+) is an order of magnitude smaller than Zapier's; long-tail SaaS tools frequently mean building against the raw API via the HTTP node.
- Fair-code is not open source by OSI definition, which complicates some corporate policies and community expectations, and the license debate resurfaces periodically.
- Cloud Starter's 2,500 executions can pinch for high-frequency polling triggers; trigger design (webhooks over polling) becomes a cost skill.
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
n8n
Two paths. Cloud: subscription tiers metered by workflow executions per month (a run is one execution regardless of step count), with unlimited workflows and steps on every tier. Self-hosted: the Community edition is free under the fair-code Sustainable Use License, with paid Business and Enterprise self-hosted tiers adding collaboration, SSO, environments, and support. Prices are quoted in euros; dollar figures shift slightly with exchange rates.
- Community (self-hosted)Free
- Starter (Cloud)~€20 to €24
- Pro (Cloud)~€50 to €60
- Business / EnterpriseCustom
For long workflows, nothing in the category touches n8n's economics: the per-execution meter makes a 40-step enrichment waterfall cost the same as a 2-step alert, and the same pipeline on task or operation pricing can cost ten to fifty times more at identical volume. Against that, the true cost is skill: n8n assumes you can read JSON, debug an HTTP call, and occasionally write a line of code. Teams with that skill get Zapier-class capability at a fraction of the spend, plus a free self-hosted exit ramp that caps vendor risk permanently. Teams without it will burn the savings in time.
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
n8n
Momentumn8n is what the automation category looks like when it is priced and licensed in the buyer's favor: pay per run instead of per step, read the source, and leave for your own server whenever you like. For the GTM engineer building long enrichment waterfalls and AI-agent workflows, those three facts compound into the category's best deal, and the LangChain-native agent tooling has made it the default engine of the DIY stack. The honest cost is skill: it asks more of you in week one than Zapier ever will, and its integration catalog still leans on the HTTP node for the long tail. Teams with a technical operator should default here; teams without one should pay the Zapier tax knowingly.
Read the full n8n 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 profilen8n profile last reviewed 2026-08-22; Octoparse last reviewed 2026-08-23. Pricing is compiled from public sources and can change without notice. See our methodology.