Scraper for Truth Social — User Posts, Replies & Engagement avatar

Scraper for Truth Social — User Posts, Replies & Engagement

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from $1.75 / 1,000 results

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Scraper for Truth Social — User Posts, Replies & Engagement

Scraper for Truth Social — User Posts, Replies & Engagement

Scrape Truth Social posts by account handle. Extract post text, likes, replies, reblogs, media and full account stats (followers, statuses) for social listening, research and analytics. No API key, no login.

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from $1.75 / 1,000 results

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Logiover

Logiover

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Truth Social Posts Scraper — User Posts, Replies & Engagement

Scrape posts from any public Truth Social account by handle and extract full post text, likes, replies, reblogs, media attachments and complete account statistics (followers, following, total statuses) — for social listening, research and analytics.

What does Truth Social Posts Scraper do?

Truth Social Posts Scraper automates the collection of public posts from Truth Social, the Mastodon-based social network. For every handle you provide, the actor resolves the account through Truth Social's public lookup endpoint, then walks the account's timeline with cursor pagination (up to 40 posts per request, newest first). Each post is parsed into a clean, structured row: HTML-stripped post text, engagement counters (likes, replies, reblogs), media URLs and types, reply relationships, reblog attribution, plus the account's own stats (follower count, total statuses, bio, avatar) embedded on every row. It picks its own proxy exits (US residential first, because Truth Social's Cloudflare now refuses most datacenter IPs), requires no account, no API key, and no login — and the residential traffic is included in the price per result.

Who is it for?

  • Journalists and fact-checkers tracking statements, corrections and deletions on Truth Social.
  • Social-media analysts measuring engagement rates and posting cadence for public accounts.
  • Researchers studying political communication, misinformation spread, or platform dynamics.
  • Brand and PR teams monitoring coverage or statements that quote Truth Social posts.
  • Data engineers feeding social-media data warehouses or dashboards with structured post data.

Use cases

  • Archive the last 1,000 posts of a list of political or media accounts with engagement metrics.
  • Compute average likes, replies and reblogs per post to rank accounts by engagement rate.
  • Detect media-heavy posts (images/videos) and pull the asset URLs for review.
  • Distinguish original posts from reblogs and build a who-reblogged-whom graph.
  • Feed a monitoring dashboard with scheduled runs and webhook alerts.

Why use Truth Social Posts Scraper?

  • Keyless & login-free — Truth Social's public API is used; no account or token needed.
  • 25 data fields per post — content, engagement, media, reply context and account stats.
  • Bulk handles — scrape dozens of accounts in a single run.
  • Deep pagination — cursor-based collection up to 1,000+ posts per account.
  • Account stats on every row — followers and statuses count denormalized for easy analysis.
  • Pay-per-result pricing — you pay only for delivered rows; export to CSV, JSON, Excel or via API.

What data can you extract?

Every run returns one dataset row per post, with these fields:

FieldTypeDescription
handlestringThe handle you requested (without @)
accountIdstringTruth Social account ID
usernamestringAccount username
displayNamestringAccount display name
followersCountnumberAccount follower count
followingCountnumberAccount following count
statusesCountnumberAccount total post count
accountUrlstringProfile URL on Truth Social
accountCreatedAtstringAccount creation date (ISO)
noteTextstringAccount bio, HTML-stripped
avatarUrlstringAccount avatar image URL
postIdstringPost ID (stable deduplication key)
postUrlstringDirect URL of the post
contentTextstringPost text, HTML tags removed
contentHtmlstringRaw post HTML (links/mentions preserved)
createdAtstringPost creation date (ISO)
likesnumberFavourites count of the post
repliesnumberReply count of the post
reblogsnumberReblog (boost) count of the post
mediaCountnumberNumber of attached media items
mediaUrlsstringComma-separated media URLs
mediaTypesstringComma-separated media types (image, video, …)
inReplyToIdstringPost ID this post replies to, if any
spoilerTextstringContent-warning text, if any
isReblogbooleanWhether this row is a reblog/boost
rebloggedFromstringHandle of the reblogged account

A real JSON output example:

{
"handle": "nasa",
"accountId": "107676736700782266",
"username": "nasa",
"displayName": "NASA",
"followersCount": 154321,
"followingCount": 85,
"statusesCount": 1204,
"accountUrl": "https://truthsocial.com/@nasa",
"accountCreatedAt": "2022-02-14T00:00:00.000Z",
"noteText": "Explore the universe and discover our home planet with NASA.",
"avatarUrl": "https://media.truthsocial.com/accounts/avatars/.../nasa.png",
"postId": "109564837210123456",
"postUrl": "https://truthsocial.com/@nasa/109564837210123456",
"contentText": "Artemis I: humanity's return to the Moon begins.",
"contentHtml": "<p>Artemis I: humanity's return to the Moon begins.</p>",
"createdAt": "2026-09-30T13:04:11.000Z",
"likes": 4521,
"replies": 132,
"reblogs": 887,
"mediaCount": 1,
"mediaUrls": "https://media.truthsocial.com/media_attachments/files/.../original.jpeg",
"mediaTypes": "image",
"inReplyToId": null,
"spoilerText": null,
"isReblog": false,
"rebloggedFrom": null
}

How to use

Option A — scrape a list of accounts:

  1. Create a new run of the actor.
  2. In Account handles, enter one or more handles without the @, e.g. realDonaldTrump, nasa.
  3. Set Max posts per account (default 1000) and Max results (default 10,000).
  4. Leave the proxy configuration as it is — the scraper chooses US residential exits on its own.
  5. Click Start; when the run finishes, open the dataset to preview and export.
{
"handles": ["realDonaldTrump", "nasa", "FoxNews"],
"maxPostsPerUser": 200,
"maxResults": 500,
"proxyConfiguration": { "useApifyProxy": true }
}

Option B — deep archive of one account:

  1. Enter a single handle.
  2. Raise Max posts per account to 1000+ to walk far back in the timeline.
  3. The actor stops automatically at the end of the accessible timeline.
{
"handles": ["realDonaldTrump"],
"maxPostsPerUser": 1000,
"maxResults": 1000
}

Input parameters

ParameterTypeDefaultDescription
handlesarray of strings["realDonaldTrump", "nasa", "FoxNews"]Account handles without @; each is paginated separately
maxPostsPerUserinteger1000Maximum posts fetched per account, newest first
maxResultsinteger10000Global cap on total posts pushed across all accounts
proxyConfigurationproxyautomatic (US residential first)Optional; your own proxy URLs/groups are tried first

Full input JSON:

{
"handles": ["realDonaldTrump", "nasa", "FoxNews"],
"maxPostsPerUser": 1000,
"maxResults": 10000,
"proxyConfiguration": {
"useApifyProxy": true
}
}

Output example

One fully-populated dataset item:

{
"handle": "FoxNews",
"accountId": "107891234567890123",
"username": "FoxNews",
"displayName": "Fox News",
"followersCount": 231456,
"followingCount": 12,
"statusesCount": 45678,
"accountUrl": "https://truthsocial.com/@FoxNews",
"accountCreatedAt": "2022-04-01T00:00:00.000Z",
"noteText": "Follow Fox News for breaking news and stories.",
"avatarUrl": "https://media.truthsocial.com/accounts/avatars/.../foxnews.png",
"postId": "109712345678901234",
"postUrl": "https://truthsocial.com/@FoxNews/109712345678901234",
"contentText": "BREAKING: …",
"contentHtml": "<p><a href=\"...\" rel=\"nofollow noopener\" target=\"_blank\"><span class=\"invisible\">https://</span>…</a></p>",
"createdAt": "2026-10-01T09:15:44.000Z",
"likes": 987,
"replies": 45,
"reblogs": 210,
"mediaCount": 0,
"mediaUrls": null,
"mediaTypes": null,
"inReplyToId": null,
"spoilerText": null,
"isReblog": true,
"rebloggedFrom": "SomeOriginalAccount"
}

Tips for best results

  • Handles are case-insensitive on lookup, but use the exact casing shown on the profile for safest results.
  • The lookup runs once per handle; a 404 handle is skipped with a warning and the run continues with the rest.
  • Posts are returned newest-first — the first rows in your dataset are the most recent.
  • Engagement counters are point-in-time values captured during the run.
  • Reblogs contain the original post's content; use isReblog/rebloggedFrom to filter them out for original-content analysis.
  • contentHtml preserves links and mentions; use it when you need URLs mentioned in a post.
  • Very large timelines may need multiple runs with maxPostsPerUser adjusted; Truth Social paginates in 40-post pages.
  • Schedule daily runs to build a longitudinal archive of account activity.
  • Combine with a sentiment-analysis or LLM actor to classify post content at scale.
  • Export to Excel or Google Sheets for quick sharing with non-technical stakeholders.

Integrations

  • Google Sheets — stream results into a sheet with the Apify Sheets integration.
  • Slack — post digests of new runs to a channel.
  • Zapier / Make — automate downstream workflows (Airtable, CRM, email digests).
  • Webhooks — receive an HTTP callback when a run completes.
  • Schedules — run daily or hourly for continuous monitoring.
  • API & MCP — call the actor from any backend or AI agent (see below).

API usage

cURL:

curl -X POST "https://api.apify.com/v2/acts/logiover~truth-social-posts-scraper/runs?token=YOUR_APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{"handles":["nasa"],"maxPostsPerUser":100}'

Node.js (Apify client):

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('logiover~truth-social-posts-scraper').call({
handles: ['realDonaldTrump', 'nasa'],
maxPostsPerUser: 500,
maxResults: 1000,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Got ${items.length} posts`);

Python:

from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("logiover~truth-social-posts-scraper").call(run_input={
"handles": ["nasa"],
"maxPostsPerUser": 100,
})
items = client.dataset(run["defaultDatasetId"]).list_items().items
print(f"Got {len(items)} posts")

Use with AI agents (MCP)

The actor works with Apify's Model Context Protocol (MCP) server, so Claude, Cursor, or any MCP-capable agent can trigger runs and read the dataset directly. Example prompt: "Use the truth-social-posts-scraper actor for handles ['nasa'] with maxPostsPerUser 200, then summarize the five most-liked posts and the account's average engagement rate."

FAQ

Do I need a Truth Social account or API key?

No. The actor uses Truth Social's public, Mastodon-compatible API endpoints through Apify's proxy. No login, no token.

Which accounts can I scrape?

Any public account. Private, suspended or non-existent handles return a 404 on lookup and are skipped with a warning.

How many posts can I get in one run?

Up to maxPostsPerUser per account (default 1,000) and maxResults in total (default 10,000). The timeline is walked in 40-post pages, newest first.

Why did an account return fewer posts than its status count?

Truth Social's public timeline API only exposes a window of a account's history; once the cursor stops advancing, the actor stops. Deleted posts and some reply threads may also be excluded by the server.

What is the difference between contentText and contentHtml?

contentText is the readable plain text (tags stripped, entities decoded); contentHtml is the raw HTML with links, mentions and hashtags preserved.

Are reblogs included?

Yes. Reblog rows carry the original post's content and engagement plus isReblog: true and rebloggedFrom so you can filter them.

What formats can I export to?

CSV, JSON, JSONL, Excel (XLSX), and XML — from the dataset tab, via API, or through integrations.

How fast is a run?

Each 40-post page takes roughly a second under polite pacing; 1,000 posts per account typically finish in well under a minute.

The actor only reads publicly visible posts from public accounts. You should still respect Truth Social's Terms of Use and applicable privacy laws (GDPR/CCPA) when storing or processing personal data, and use the data for legitimate research. This tool is not affiliated with, endorsed by, or sponsored by Trump Media & Technology Group or Truth Social.

How often is the data updated?

Every run queries Truth Social live. Schedule recurring runs for continuous freshness.

Can I get likes for historical snapshots?

No. Engagement counters reflect the moment of the run. Schedule repeated runs to track growth over time.

Does the actor follow threads and conversations?

It records inReplyToId for replies found in an account's timeline, but it does not crawl full conversation trees.

Truth Social Posts Scraper extracts only publicly accessible posts from public accounts, without login or bypass of access controls. You are responsible for complying with Truth Social's Terms of Use and privacy regulations (GDPR, CCPA) when using the output, especially since posts may contain personal data. The actor and its author are not affiliated with, endorsed by, or sponsored by Trump Media & Technology Group. "Truth Social" and related marks are trademarks of Trump Media & Technology Group Corp.

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