ScrapeCreators: Truthsocial User Posts

Fetches a paginated list of posts from a Truth Social user, returning text, id, created_at, url, content, account info, media_attachments, card link previews.

Tool ID: scrapecreators_truthsocial_user_posts

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(
  'scrapecreators_truthsocial_user_posts',
  {
    "handle": "example",
    "user_id": "user_123",
    "trim": true
  },
);

console.log(result.toolResponse.raw);

CLI

deepline tools execute scrapecreators_truthsocial_user_posts --input '{
  "handle": "example",
  "user_id": "user_123",
  "trim": true
}' --json

Example response

The static output schema lacks the details for a reliable example. Use deepline describe scrapecreators_truthsocial_user_posts --json for the complete live contract.

Input reference

Fetches a paginated list of posts from a Truth Social user, returning text, id, created_at, url, content, account info, media_attachments, card link previews, replies_count, reblogs_count, and favourites_count. Supports pagination via next_max_id and a trim option for lighter responses. Only prominent public figures (e.g., Trump, Vance) are accessible without authentication.

Name	Type	Required	Default	Details
`payload.handle`	`string`	No	—	Truth Social username
`payload.user_id`	`string`	No	—	Truth Social user id. Use this for faster response times. Trumps is 107780257626128497. It is the ‘id’ field in the profile endpoint.
`payload.trim`	`boolean`	No	—	Set to true for a trimmed down version of the response
`payload.next_max_id`	`string`	No	—	Used to paginate to next page

Output reference

Standard tool result payload.

Name	Type	Required	Default	Details
`result.data`	`unknown`	Yes	—	Provider response payload.
`result.meta`	`object`	No	—	Additional response metadata (status, paging).

Deepline cost

Pricing model: fixed (per call).
Estimated Deepline credits: 0.02 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