Crustdata: Linkedin Posts

Fetching and filtering LinkedIn post activity.

Tool ID: crustdata_linkedin_posts

Run this action

Use the TypeScript SDK for a single call. Put ctx.tools.execute(...) inside a Play when the call should be durable, scheduled, or run across a CSV.

import { Deepline } from 'deepline';

const deepline = await Deepline.connect();
const result = await deepline.tools.execute(
  'crustdata_linkedin_posts',
  {
    "keyword": "software companies hiring engineers"
  },
);

console.log(result.toolResponse.raw);

CLI

deepline tools execute crustdata_linkedin_posts --input '{
  "keyword": "software companies hiring engineers"
}' --json

Example response

The SDK exposes this shape at result.toolResponse.raw. Values below are representative.

{
  "status": "example",
  "result": {
    "data": {
      "posts": [
        {
          "id": "id_123",
          "text": "example",
          "author": "example",
          "share_url": "https://example.com"
        }
      ],
      "totalCount": 123
    }
  }
}

Use deepline tools get crustdata_linkedin_posts --json for the latest machine-readable contract.

Input reference

Searches LinkedIn posts by keyword using /screener/linkedin_posts/keyword_search.

Name	Type	Required	Default	Details
`payload.keyword`	`string`	Yes	—	Keyword to search for. Minimum length: 1.
`payload.page`	`integer`	No	—	Page number (1-100). Minimum: 1. Maximum: 100.
`payload.limit`	`integer`	No	`3`	Number of posts to fetch (1-500, default 3). Minimum: 1. Maximum: 500.
`payload.sortBy`	`"relevance" \| "date_posted"`	No	—	Sort order for results. Allowed: `relevance`, `date_posted`.
`payload.datePosted`	`"past-24h" \| "past-week" \| "past-month" \| "past-quarter" \| "past-year"`	No	—	Date filter window. Allowed: `past-24h`, `past-week`, `past-month`, `past-quarter`, `past-year`.
`payload.exactKeywordMatch`	`boolean`	No	—	Require exact keyword match (no paging).
`payload.contentType`	`array`	No	—	Limit results to specific content types. Minimum items: 1.
`payload.filters`	`array`	No	—	LinkedIn filter objects.
`payload.fields`	`"reactors" \| "comments" \| "reactors,comments" \| "comments,reactors" \| array`	No	—	Include reactors/comments (array or comma-separated).
`payload.maxReactors`	`integer`	No	—	Max reactors to return. Minimum: 0. Maximum: 5000.
`payload.maxComments`	`integer`	No	—	Max comments to return. Minimum: 0. Maximum: 5000.

Output reference

Name	Type	Required	Default	Details
`result.status`	`string`	Yes	—	—
`result.result`	`object`	Yes	—	—
`result.result.data`	`object`	Yes	—	—
`result.result.data.posts`	`array`	Yes	—	—
`result.result.data.posts[].id`	`string`	Yes	—	—
`result.result.data.posts[].text`	`string`	Yes	—	—
`result.result.data.posts[].author`	`string`	Yes	—	—
`result.result.data.posts[].share_url`	`string`	Yes	—	—
`result.result.data.totalCount`	`integer`	Yes	—	—

Deepline cost

Pricing model: per_result (per result).
Estimated Deepline credits: 0.4 per pricing unit.

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Reference

Crustdata: Linkedin Posts

Run this action

CLI

Example response

Input reference

Output reference

Deepline cost

​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