Make (Integromat) vs Seek API: No-Code Automation vs Programmable Workers

Make (formerly Integromat) and Seek API are both “automation” platforms — but they operate at completely different layers of the stack. Understanding this distinction prevents the common mistake of reaching for the wrong tool.

What Make does

Make is a visual integration and automation builder. You drag and drop “modules” (app integrations) onto a canvas and connect them with flows. A scenario runs when a trigger fires (e.g., a new row in Google Sheets, a new HubSpot contact, a webhook arrival).

Make’s strength is the combination of:

• Visual workflow design (no code required)
• A large library of app integrations (1,500+)
• Advanced logic: iterators, routers, aggregators, error handlers
• Well-priced for non-technical users ($9–$29/month for typical volumes)

Make is substantially more powerful than Zapier for visual automation. Its scenarios can branch, loop, transform arrays, aggregate results, and handle errors — all in a drag-and-drop environment.

What Seek API does

Seek API is an API execution platform for data workers. You call an API endpoint, a worker executes, and you get structured data back. The workers run tasks that require web access — extracting public data from sources without APIs.

Make builds orchestration. Seek API provides execution.

Why they’re often used together

The most common pattern: Make as the orchestrator, Seek API as the data extraction engine.

Example: LinkedIn enrichment in Make

1. Trigger: New row added to Google Sheets (company list)
2. HTTP module: POST to Seek API linkedin-company/jobs → get job_uuid
3. Wait: Loop or delay until job status is completed
4. HTTP module: GET job result → LinkedIn company data
5. Google Sheets: Update row with employee count, HQ location, industry

Make handles the logic and app connections. Seek API handles the hard part (extracting LinkedIn data without an API). Neither is redundant.

Where they diverge

Make’s limits for data-intensive use cases

Make charges per operation — each module execution within a scenario costs operations.

At the Free tier (1,000 ops/month), a 3-module scenario runs 333 times. At $9/month (10,000 ops), a 5-module scenario runs 2,000 times.

For a team enriching 5,000 leads/month with a 6-module workflow = 30,000 operations = ~$50/month in Make alone, before the API calls.

Additionally, Make has a 30-second module timeout. Seek API jobs that take longer (complex scraping, multi-page documents) must be handled with polling intervals, which adds scenario complexity.

Seek API’s limits as an orchestrator

Seek API doesn’t provide a visual workflow designer. If you need to chain three workers with conditional branching, you do that in code or in a workflow tool like Make.

Seek API also doesn’t offer native app integrations. It doesn’t know about your CRM, Slack, Google Sheets, or Notion. It executes workers and returns data. What you do with that data is your layer.

Head-to-head

When to use Make

• Non-technical team managing the workflow
• You need to connect multiple SaaS apps (CRM + Sheets + Slack)
• The workflow is event-driven and low-volume
• Visual editing is important to you or your team

When to use Seek API

• You need to extract data from sources without APIs (social, maps, e-commerce)
• Your workflow is code-driven and requires predictable per-result pricing
• You’re running high-volume batch jobs (500+ records)
• You want to publish and monetize your own automation workers

A word on overlap

Make has an “HTTP” module that can call any external API — including Seek API. And Seek API workers can POST results to webhooks that trigger Make scenarios. The tools aren’t competitors; they’re collaborators at different layers.

The decision is really: “Do I want to build my automation logic visually, or in code?” For marketers and ops, Make. For developers building data products, Seek API.