# How to connect your website to Make or Zapier without building a time bomb Source: https://baqueiro.es/en/automatizacion/connect-website-make-zapier-safely/ Published: 2026-06-03T07:36:00+00:00 Updated: 2026-06-03T07:36:00+00:00 Author: Baqueiro Desarrollo Web Language: en-US Usage: Attribution required: quoting allowed with a visible link back --- **TL;DR** - Make and Zapier are great for prototypes and simple processes, but they scale badly as complexity grows. - Without version control or testing, complex workflows become fragile and expensive to maintain. - You can use them safely if you document, watch for errors and know when to move to your own code. ## The client with 147 Zaps and 23 failing silently A company asked us to audit its automations. It had 147 Zaps in Zapier, and 23 of them were failing silently every week. Nobody knew which ones were critical to the business. The monthly bill was over €800. And when they tried to move to Make to save money, they found the workflows were so tangled that the migration would take months. Make and Zapier are legitimate tools, but they work like a hot glue gun: perfect for quick prototypes, risky for permanent structures. How easy it is to build workflows hides how hard it is to maintain them. ## What these tools really are Make (formerly Integromat) and Zapier are platforms that connect apps through visual workflows: when something happens in one tool (a form comes in, an order is paid), actions run in others. Zapier is simpler; Make is more powerful and flexible. Both charge by usage: Zapier by “tasks” and Make by “credits” (formerly called “operations”), which in practice depend on the steps that run in each workflow. At low volume they are cheap. With high volume or complex workflows, they get expensive fast. They are orchestration tools, not processing tools: they hand the work off to the APIs of the connected services and, if one fails, the workflow inherits the failure. ## When to use Make or Zapier (and when not to) **Good fits:** - Prototyping integrations quickly to check whether they are really needed. - Simple workflows of 2 or 3 steps between popular services. - Low to moderate volume (as a rough guide, under 10,000 credits or tasks a month). - Teams without developers who need a solution now. - Processes that change often and need fast iteration. **Problem cases:** - Complex logic with nested conditions, loops and error handling. - Business-critical workflows, where downtime is expensive. - High volume (over 100,000 credits or tasks a month), where costs skyrocket. - Integrations with uncommon or unstable APIs. - Processes that require complex data transformation. The rule of thumb: if your workflow has more than 10 steps, needs complex conditional logic or handles sensitive data, it should probably be code rather than no-code. ## Antipattern: the bag of knots This is when you keep building more and more complex workflows without admitting you have outgrown the tool. The symptoms: - Workflows with more than 20 steps and several conditional branches. - Code steps (JavaScript or Python inside Make or Zapier) to handle complex logic. - Workflows that call other workflows and create circular dependencies. - Global variables or temporary data stores to keep state between runs. If you have reached this point, you are forcing the tool. It is like using Excel as a database: you can, but you shouldn’t. **The fix:** move to code. A small service on AWS Lambda or a PHP script on your own server can replace 50 Zapier steps with code that is readable, version-controlled and testable. ## Security and sensitive data Make and Zapier have access to your data: customer, financial and operational. There are 4 things worth checking. **Read and write permissions.** Many connections ask for write access when they only need to read. Review the permissions (scopes) of each connection and remove the ones you don’t need. **Data in transit and at rest.** These platforms process your data on their servers. Where? For how long is it kept? Zapier processes data mainly in the United States; Make offers the option to host your account on EU servers. If you handle personal data or regulated financial information, check that this fits your GDPR obligations. **Shared credentials.** Connections usually rely on API keys or service accounts. If someone with access to Make or Zapier leaves the company, what access do they keep? Whenever your team changes, review users and rotate keys. **Data logging.** By default, both platforms keep a run history with the data they process: customer emails, personal details, amounts. Check the retention and privacy options on your plan (in Make, for example, you can mark a scenario as confidential so it doesn’t store that data). Almost nobody does. ## Costs: the scaling trap The pricing model is addictive at low volume and painful at high volume. Zapier charges by task: every action that runs successfully counts as one. A workflow with 5 actions that runs 1,000 times a month adds up to 5,000 tasks. The free plan includes 100 tasks a month, and paid plans go up in price by volume tier. Make charges in credits: every module that runs uses at least 1, including the trigger that periodically checks for new data, even when there is none. It tends to be cheaper than Zapier, but the logic is the same: more steps and more runs mean a bigger bill. **The problem:** when building a workflow, hardly anyone works out the real volume. A contact form with average traffic, plus spam, plus periodic checks, can generate thousands of credits or tasks a month. What you designed on the free plan suddenly costs €150 a month. **The fix:** estimate volume before you design. Multiply expected runs by steps and add a margin. If the workflow is going to exceed 50,000 credits or tasks a month, look at alternatives such as your own code or self-hosted n8n. ## Vendor lock-in and migration Zapier workflows can’t be imported into Make, and Make exports them in its own format (a blueprint) that only Make understands. If they raise prices, drop a plan or change their terms, you are stuck. **How to reduce the risk:** - Document workflows independently of the tool: what goes in, what comes out and what logic is applied. Without that documentation, every workflow is a black box; we go into detail in [the hidden cost of poorly documented automations](https://baqueiro.es/en/automatizacion/hidden-cost-poorly-documented-automations/). - For critical workflows, have a migration plan: how you would rebuild them in code if the time comes. - Consider alternatives such as n8n, which you can host yourself, for workflows where control is a priority. ## Best practices for robust workflows If you decide to use Make or Zapier, do it properly: **1. Descriptive names.** “Zap #47” tells you nothing. “Contact form → CRM with deduplication” explains what it does. **2. Explicit error handling.** Decide what happens if a step fails: retry? Notify someone? Failing silently is the most dangerous option. **3. Change history.** Both keep a basic version history, but it isn’t real version control: there are no reviews and no record of why something changed. Log changes manually (screenshots help). **4. Systematic testing.** Don’t assume it works. Test with real data, with edge cases and with simulated API errors. **5. Monitoring.** Review the run history regularly and set up alerts when the error rate goes above a threshold. **6. One job per workflow.** A workflow does one thing. If you need complex logic, ask yourself whether it should be code. And remember that connecting systems with patches creates a different kind of silo: we explain it in [what a company gains when its systems stop working in silos](https://baqueiro.es/en/automatizacion/data-silos-connect-business-systems/). ## Alternatives to consider Before committing to Make or Zapier, look at: **n8n:** a source-available tool (under a fair-code license, not strictly open source) that you can host on your own server. Cheaper at scale and with more control, in exchange for maintaining the infrastructure yourself. **Custom development:** for critical or complex workflows, a small service in PHP, Python or Node is easier to maintain, testable and cheaper in the long run. It costs more upfront, but afterwards you only pay for hosting, a fraction of what a paid no-code plan costs. **Native integrations:** many CRMs, payment gateways and email marketing tools connect directly with no middleman (HubSpot with Stripe, for example) or have official plugins for WordPress and WooCommerce. Before building a workflow, check whether one already exists. ## Frequently asked questions **Make or Zapier?** Make is more powerful and cheaper, but harder to learn. Zapier is simpler and more expensive at scale. For complex workflows, Make. For simple ones, Zapier. **Can I use these tools for e-commerce?** For supporting processes, yes: notifications, simple stock syncs, alerts to the team. For checkout, no: it is too critical and volume can be high. **What do I do if a workflow keeps failing?** First, find out why: has an API changed? Is unexpected data coming in? Then decide whether it is worth fixing or whether it should become code. **Are these tools GDPR compliant?** Generally yes, but check your setup: where the data is processed, what the run histories store and whether you have signed the data processing agreement (Article 28 GDPR). For highly sensitive data, consider self-hosting n8n. ## Conclusion Make and Zapier are useful in their place: quick prototypes, simple workflows, teams without developers. But they have clear limits that many people discover too late. The main risk isn’t the tool itself, but the temptation to keep using it for increasingly complex cases where it no longer fits. Recognizing that tipping point and moving to a more robust solution is good judgment, not failure. If you have workflows on these platforms and want to know which ones are fine, which should be migrated and how to do it without breaking anything, [get in touch](https://baqueiro.es/en/contact/) and we’ll review your integrations with you.