Aviato: Get Post Reactions

List the people who reacted to a LinkedIn post, filtered by reaction type.

Tool ID: aviato_get_post_reactions

Run this action

Use the TypeScript SDK for one call. Use ctx.tools.execute(...) inside a Play for durable calls, scheduled calls, or CSV processing.

import { Deepline } from 'deepline';

const deepline = await Deepline.connect();
const result = await deepline.tools.execute(
  'aviato_get_post_reactions',
  {
    "postUrn": "example"
  },
);

console.log(result.toolResponse.raw);

CLI

deepline tools execute aviato_get_post_reactions --input '{
  "postUrn": "example"
}' --json

Example response

The SDK returns this shape at result.toolResponse.raw. The example values illustrate the response.

{
  "data": {
    "results": [
      {
        "reactionType": "example",
        "reactor": {
          "name": "Example",
          "headline": "example"
        }
      }
    ],
    "pages": 123,
    "totalResults": 123
  }
}

Use deepline describe aviato_get_post_reactions --json for the latest machine-readable contract.

Input reference

Get reactions for a LinkedIn post

Name	Type	Required	Default	Details
`payload.postUrn`	`string`	Yes	—	LinkedIn post URN
`payload.page`	`integer`	No	`1`	—
`payload.perPage`	`integer`	No	`10`	Number of items per page
`payload.reactionType`	`"LIKE" \| "EMPATHY" \| "INTEREST" \| "PRAISE" \| "APPRECIATION"`	No	—	Type of reaction to filter, if not supplied returns all reactions Allowed: `LIKE`, `EMPATHY`, `INTEREST`, `PRAISE`, `APPRECIATION`.

Output reference

Standard tool result payload.

Name	Type	Required	Default	Details
`result.data`	`object`	Yes	—	Provider response payload.
`result.data.results`	`array`	Yes	—	—
`result.data.results[].reactionType`	`string`	Yes	—	—
`result.data.results[].reactor`	`object`	Yes	—	—
`result.data.results[].reactor.linkedinNumID`	`integer`	No	—	—
`result.data.results[].reactor.linkedinEntityID`	`string`	No	—	—
`result.data.results[].reactor.image`	`string`	No	—	—
`result.data.results[].reactor.name`	`string`	Yes	—	—
`result.data.results[].reactor.headline`	`string`	Yes	—	—
`result.data.pages`	`integer`	Yes	—	—
`result.data.totalResults`	`integer`	Yes	—	—
`result.meta`	`object`	No	—	Additional response metadata (status, paging).

Deepline cost

Pricing model: fixed (per call).
Estimated Deepline credits: 0.28 per pricing unit.

​Run this action

​CLI

​Example response

​Input reference

​Output reference

​Deepline cost

​Related documentation

Run this action

CLI

Example response

Input reference

Output reference

Deepline cost

Related documentation