Pricing, limits, and integration
Landingi exposes a live REST API at api.landingi.com/v2, and this is the programmatic path you build against today while Orbit is still in development. On top of the raw API, native Zapier and Make connectors handle the no-code automation most marketing teams need: leads into a CRM, sequences on conversion, submissions piped to a webhook or spreadsheet.
API access tracks your Landingi plan rather than a separate pay-per-call meter, so the practical limit is whichever subscription tier you are on and the account allowances that come with it. Check your plan details for the exact request allowances tied to your tier. Zapier and Make also carry their own task and operation limits on their respective plans, which is worth factoring in if you route high-volume automation through them. For now the API plus those two connectors is the dependable programmatic path, and I will revisit limits if Orbit ships with its own quota model.
How much does the Landingi API actually cost?
Landingi publishes an API, but per-tier gating wasn't extracted automatically.
- Most likely scenario: API access is either included in all paid plans, or it's gated to higher tiers and we need to verify on the live docs page.
- Until verified, treat the question "which plan unlocks the API" as open. Don't budget on the assumption it's free with the cheapest paid plan.
Landingi subscription pricing
| Plan | Monthly | Annual / mo |
|---|---|---|
| Build | — | $24 |
| Optimize | — | $119 |
| Scale | — | $229 |
| Enterprise | — | $1,199 |
⚠ Per-tier API gating not yet structured for Landingi. Confirm which plans unlock API access on the live docs.
Source: landingi.com/pricing. Verified 2026-06-07.
API at a glance
What you can build with the Landingi API
Three personas, three different shapes of build. Pick the row that matches how you actually ship.
Glue Landingi into your daily workflow
- Pull a digest of fresh activity into your morning Slack
- Trigger a one-off backfill when something looks off
- Pipe data into your own SQLite for ad-hoc queries
Sell Landingi reporting at scale
- White-label Landingi data into client-branded dashboards
- Run scheduled multi-account reports without logging into the Landingi UI
- Cross-reference with the rest of the client's stack (CRM, analytics, ad spend)
Production pipelines for Landingi
- Real-time sync into your warehouse on a cron
- Custom alerts the dashboard's built-in alerting can't express
- Backfill + idempotency handling for Landingi data older than the dashboard exposes
Limits and gotchas
- No OpenAPI spec — you write typed clients by hand or use a third-party generator on the docs HTML.
- No official SDK detected. Plan on hitting the API directly with your HTTP client of choice.
- Rate limits: always read the docs page before scaling — the published limit is usually lower than the practical one and overages can be expensive.
- No-code fallback: Zapier and Make.com cover the common triggers if you want to skip writing API code for simple flows.
Agent-readiness verdict
Score: 6/10 on API-readiness. Landingi has a live REST API (api.landingi.com/v2) plus native Zapier and Make connectors, which is a real, usable integration story for a page builder and the path I would point any developer at today. The score sits at a 6 rather than higher because the API is page-builder-scoped rather than a broad data platform, and the more agent-native layer (Orbit) is still in development, so the programmatic surface available now is solid but not yet built for autonomous agents. The API is the live path while Orbit is being built.
Not agent-ready. Landingi has no MCP, no documented API, and no LLM integrations, making it inaccessible to Claude or Cursor workflows. The 170+ integrations are traditional webhooks and tools, not agent-capable connections.
Landingi API FAQ
Does Landingi have a public API?+
Sources
- Landingi official site: https://landingi.com/
- Pricing source: https://landingi.com/pricing/ (verified 2026-06-07)
10+ years in digital marketing. I review marketing software for AI-stack fit: real pricing, MCP and API support, and how cleanly each tool drops into an AI agent workflow, cross-checked against verified data and real user feedback.