DOCUMENT OPS

Export a Figma file's production assets to Dropbox on request

Triggered by a webhook with a Figma file link, this workflow exports every export-marked asset in the file at the right scales, organizes them by type into a Dropbox bundle.

CategoryDocument Ops
Enginesim
Difficultybeginner
Triggerwebhook
Steps6
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWebhook with Figma file linkHTTP webhook
  • ActionScan file for export-marked nodes from FigmaFigmaFigma
  • LogicGroup assets by type and scale
  • ActionRender assets at configured scales from FigmaFigmaFigma
  • ActionUpload grouped bundle to DropboxDropboxDropbox
  • OutputReturn shareable Dropbox bundle linkDropboxDropbox

What it does

Produces a clean, production-ready asset bundle from any Figma file on demand. It finds every node marked for export, renders each at its configured scales and formats, sorts them into typed subfolders in Dropbox, and hands back a single share link.

When to use it

Use it when engineers or marketers need the actual image assets from a design file right now, without nudging a designer to manually export and zip them. Ideal for icon sets, marketing graphics, and app screenshots that get requested repeatedly.

How it works

  1. 1A webhook call provides the Figma file key and an optional output folder name.
  2. 2The workflow scans the file for all export-marked nodes and their requested scales and formats.
  3. 3A logic step groups assets by type, such as icons, illustrations, and screenshots.
  4. 4It renders each asset from Figma at every configured scale.
  5. 5It uploads the grouped assets into a named Dropbox bundle folder.
  6. 6A shareable Dropbox link to the bundle is returned to the requester.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect FigmaFiles, frames, comments, assets.
  2. 2
    Connect DropboxFiles and folders.
  3. 3
    Connect HTTP webhookTrigger any URL on agent actions.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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