n8n vs Make for SEO Automation: Which Wins for Scraping and Publishing
If you run SEO tasks that touch hundreds or thousands of URLs, keywords, or backlinks, the choice between n8n and Make is not really about which has a prettier canvas. It comes down to one thing that quietly decides your monthly bill and how far you can scale: how each tool counts what you run. n8n Cloud bills per execution (one workflow run, regardless of how many items pass through it), and n8n can also be self-hosted for free. Make bills per credit — and as of 27 August 2025 that is the official name of what used to be called an “operation,” with each module action still counting as one credit (Make confirms the 1:1 conversion in its credits billing announcement). The word changed; the meter did not.
My take up front: for data-heavy SEO automation — scraping SERPs and pages, enriching keyword lists, deduping and clustering, publishing at volume — n8n is the better long-term home. For a non-technical marketer who mostly needs to glue a few SaaS apps together (form → sheet → Slack → email) and never wants to touch a server, Make is faster to launch and easier to keep running. This post shows exactly where each one wins so you can choose without regretting it three months in. If you are also weighing Microsoft’s option, the same logic runs through our n8n vs Power Automate comparison.
The short answer: a side-by-side for SEO teams
Both tools are visual workflow builders that connect apps and move data on triggers or schedules. The differences that matter for SEO are the billing model, how they handle large batches of items, how much raw code and HTTP freedom you get, and whether you can run it on your own infrastructure. Here is the comparison that actually drives the decision.
| Factor | n8n | Make |
|---|---|---|
| Billing unit | Per execution (whole workflow run) on Cloud; unlimited when self-hosted | Per credit (each module action — renamed from “operation” in Aug 2025, still 1 credit per action) |
| Cost behavior at scale | Flat per run — looping over 500 URLs is still one execution | Multiplies — 500 items × several modules = thousands of credits |
| Self-hosting | Yes, free (fair-code Community Edition); full data control | No — SaaS only |
| Custom code | Native Code node (JavaScript and Python); npm modules when self-hosted | Make Code App runs JS or Python, but billed at 2 credits per second of execution time — not a free code runtime |
| Raw HTTP / scraping | Flexible HTTP Request node, full header/proxy control | HTTP module exists but is more constrained for heavy scraping |
| Pre-built app connectors | Growing library; more DIY via HTTP | Very large, polished connector catalog (3,000+ apps) |
| Learning curve | Steeper; rewards technical users | Gentler; friendlier for non-developers |
Pricing tiers and product names change often; the figures below were checked against each vendor’s own pricing page on 16 September 2026. The billing model — credits-per-action vs executions-per-run — is the durable difference and rarely changes.
What n8n and Make actually cost in 2026
Headline prices only tell you the entry fee, not the bill you get once volume climbs — but they are the right starting point. Here is what each vendor lists on its official pricing page today.
| Plan | Price (entry tier) | Included volume |
|---|---|---|
| n8n Starter | €20/mo (billed annually) | 2,500 executions/mo, 5 concurrent |
| n8n Pro | €50/mo (billed annually) | 10,000 executions/mo, 20 concurrent |
| n8n Business (self-hosted) | €667/mo (billed annually) | 40,000 executions/mo, SSO + Git |
| n8n Community Edition | Free (self-host your own server) | Unlimited executions; you pay for the box |
| Make Free | $0 | 1,000 credits/mo, max 2 active scenarios |
| Make Core | from $12/mo annual ($16 monthly) | 10,000 credits/mo, unlimited scenarios |
| Make Pro | from $21/mo annual | 10,000 credits/mo, priority execution |
| Make Teams | from $38/mo annual | 10,000 credits/mo, team roles |
Two things worth flagging. First, n8n now prices in euros, and its Business tier is a self-hosted license rather than a hosted plan — teams under 20 people can apply for its Start-up plan for 50% off Business. Second, Make’s tiers are all quoted at the same 10,000-credit rung; the price climbs as you buy more credits, and that credit ladder — not the plan name — is what your SEO volume actually drives. You can confirm both on the official n8n pricing page and the official Make pricing page (both checked 16 September 2026).
The pricing model is the whole game for SEO
SEO automation is almost always “do the same thing to a long list.” Fetch 800 URLs. Score 5,000 keywords. Check 300 backlinks. That list length is where the two tools diverge financially.
In Make, every module that fires counts as a credit, and it fires once per item. A workflow that pulls a list of 500 URLs, requests each page, parses it, and writes a row can burn 2,000–3,000+ credits in a single run. Run it daily and you climb the credit ladder fast — not because the work is hard, but because the meter counts every action on every item. (One small mercy: Make does not charge credits for Router or error-handler modules, so branching itself is free — it is the per-item work that adds up.)
In n8n Cloud, that same 500-item loop is billed as one execution. Items flowing through nodes do not each add to the meter. For batch-heavy SEO pipelines this is often the difference between a Starter-tier plan and a bill that makes your finance team ask questions. And if you self-host n8n, execution count stops mattering entirely — you pay for the box, not the runs.
A quick worked example
Say you scrape the top 100 Google results for 20 seed keywords every morning, then extract titles and headings. That is 2,000 pages a day. In Make, each page likely touches a search module, an HTTP module, and a parse module — roughly 6,000 credits daily, or ~180,000 a month, which pushes you well up the credit ladder past the entry 10,000-credit rung. In n8n, that is one scheduled execution per keyword (or even one for all of them with batching): a few dozen executions a month, comfortably inside a Starter or Pro plan. Same output, wildly different meter.
Scraping and data enrichment: where n8n pulls ahead
SEO automation lives and dies on the HTTP Request step — hitting APIs (Search Console, DataForSEO, your rank tracker) and fetching raw HTML. n8n’s HTTP Request node gives you full control over headers, authentication, query batching, pagination, and response parsing, and its Code node lets you drop into JavaScript or Python to clean, dedupe, cluster, or reshape data mid-flow. When self-hosted you can install npm packages, which turns n8n into something close to a scripting environment with a UI on top.
Make has closed part of this gap: its newer Make Code App can run custom JavaScript or Python, so “no code runtime at all” is no longer accurate. But the catch is the meter — the Code App bills at 2 credits per second of execution time, so heavy transforms cost you on the same ladder that already punishes volume. For light enrichment Make is perfectly fine; for anything that is essentially “Python with a schedule,” n8n is still the natural fit — and it pairs well with a reusable library of SEO automation scripts you can call from workflows.
Publishing and app glue: where Make earns its keep
Now the honest counterweight, because n8n is not the answer to everything. Make’s connector catalog is larger and more polished (3,000+ apps). If your automation is mostly moving structured data between well-known SaaS apps — Google Sheets to Airtable, a form to a CRM, Slack notifications, Notion updates, social scheduling — Make often gets you there with fewer clicks and less debugging. The modules are mature, the field mapping is friendly, and you are not maintaining a server.
For a solo marketer or a small team without a developer, that matters more than theoretical scale. A reporting flow that emails a weekly digest, for instance, is trivial in either tool; if you want that specific build, see our guide to a no-code Search Console to weekly digest pipeline. Make will have you shipping it in an afternoon with zero infrastructure worries. The trade-off only bites when item volume climbs.
Self-hosting, data control, and API keys
SEO workflows carry sensitive assets: API keys for paid rank trackers, Search Console tokens, client data. Self-hosted n8n keeps all of that on infrastructure you own, which is a real advantage for agencies with data-handling commitments or anyone nervous about pushing client keys through a third-party SaaS. Make, being SaaS-only, means your credentials and data pass through their platform (hosted on AWS in the EU or North America) — fine for most, a dealbreaker for some.
The flip side is operational burden. Self-hosting means you patch, back up, and monitor the instance. If nobody on the team wants to own a server, Make’s managed model (or n8n Cloud) removes that chore entirely. Choose the trade you can actually live with.
Which should you choose?
Choose n8n if…
You process large lists (bulk URL scraping, keyword enrichment, backlink checks), you or someone on the team is comfortable with a bit of code, you want predictable costs as volume grows, or you need data to stay on your own infrastructure. n8n is the better ceiling for a serious SEO automation stack.
Choose Make if…
Your automations are mostly light app-to-app glue, item volumes are modest, nobody wants to manage a server, and speed-to-launch matters more than cost-at-scale. Make is the better floor — you will be live sooner with less friction.
Who each is NOT for
n8n is a poor fit if you have no appetite for any technical setup and only need to connect a handful of apps a few times a day — you would be paying a learning-curve tax for power you never use. Make is a poor fit if your core workload is high-volume scraping or enrichment — the per-credit meter will punish exactly the thing you are trying to scale, and you will eventually migrate anyway.
Frequently asked questions
Did Make get more expensive when it switched from operations to credits?
No. Make renamed its billing unit from “operations” to “credits” on 27 August 2025 and converted existing balances 1:1, so 1,000 operations became 1,000 credits and plan prices stayed the same. Most module actions still cost 1 credit; only some of Make’s built-in AI-provider features can consume more, because billing there tracks actual AI usage.
Is n8n cheaper than Make for SEO?
For high-volume, list-based SEO work, almost always yes — because n8n Cloud bills per workflow execution rather than per item, and self-hosting removes execution limits entirely. For small, low-volume automations the difference is minor and Make’s ease can be worth more than the savings.
Can Make scrape websites like n8n?
Make can make HTTP requests and parse responses, so light scraping works. But n8n’s HTTP Request and Code nodes give far more control over headers, pagination, proxies, and custom parsing, which matters once you scrape at scale or hit anti-bot friction.
Do I need to know how to code to use n8n?
No for basic workflows — the visual builder covers a lot. But n8n rewards some JavaScript or Python knowledge, and the most powerful SEO pipelines lean on the Code and HTTP nodes. If you never plan to touch code, Make’s gentler curve may suit you better.
Can I self-host Make like n8n?
No. Make is a SaaS-only platform. If self-hosting for cost control or data privacy is a requirement, n8n (which offers a free self-hosted, fair-code Community Edition) is the option that supports it.
