
Truth Social Scraper
Pricing
Pay per event

Truth Social Scraper
Extract Truth Social profile posts with this professional Apify actor tool. Collect content from Donald Trump and key profiles. Analyze interactions, media and replies with real-time data. Ideal for political monitoring, market research and trend analysis. API integration for real-time data flow.
4.6 (5)
Pricing
Pay per event
14
Monthly users
139
Runs succeeded
>99%
Response time
1.1 hours
Last modified
3 days ago
You can access the Truth Social Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1{
2 "openapi": "3.0.1",
3 "info": {
4 "version": "0.0",
5 "x-build-id": "clvcWYLZobNVbytmJ"
6 },
7 "servers": [
8 {
9 "url": "https://api.apify.com/v2"
10 }
11 ],
12 "paths": {
13 "/acts/muhammetakkurtt~truth-social-scraper/run-sync-get-dataset-items": {
14 "post": {
15 "operationId": "run-sync-get-dataset-items-muhammetakkurtt-truth-social-scraper",
16 "x-openai-isConsequential": false,
17 "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
18 "tags": [
19 "Run Actor"
20 ],
21 "requestBody": {
22 "required": true,
23 "content": {
24 "application/json": {
25 "schema": {
26 "$ref": "#/components/schemas/inputSchema"
27 }
28 }
29 }
30 },
31 "parameters": [
32 {
33 "name": "token",
34 "in": "query",
35 "required": true,
36 "schema": {
37 "type": "string"
38 },
39 "description": "Enter your Apify token here"
40 }
41 ],
42 "responses": {
43 "200": {
44 "description": "OK"
45 }
46 }
47 }
48 },
49 "/acts/muhammetakkurtt~truth-social-scraper/runs": {
50 "post": {
51 "operationId": "runs-sync-muhammetakkurtt-truth-social-scraper",
52 "x-openai-isConsequential": false,
53 "summary": "Executes an Actor and returns information about the initiated run in response.",
54 "tags": [
55 "Run Actor"
56 ],
57 "requestBody": {
58 "required": true,
59 "content": {
60 "application/json": {
61 "schema": {
62 "$ref": "#/components/schemas/inputSchema"
63 }
64 }
65 }
66 },
67 "parameters": [
68 {
69 "name": "token",
70 "in": "query",
71 "required": true,
72 "schema": {
73 "type": "string"
74 },
75 "description": "Enter your Apify token here"
76 }
77 ],
78 "responses": {
79 "200": {
80 "description": "OK",
81 "content": {
82 "application/json": {
83 "schema": {
84 "$ref": "#/components/schemas/runsResponseSchema"
85 }
86 }
87 }
88 }
89 }
90 }
91 },
92 "/acts/muhammetakkurtt~truth-social-scraper/run-sync": {
93 "post": {
94 "operationId": "run-sync-muhammetakkurtt-truth-social-scraper",
95 "x-openai-isConsequential": false,
96 "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
97 "tags": [
98 "Run Actor"
99 ],
100 "requestBody": {
101 "required": true,
102 "content": {
103 "application/json": {
104 "schema": {
105 "$ref": "#/components/schemas/inputSchema"
106 }
107 }
108 }
109 },
110 "parameters": [
111 {
112 "name": "token",
113 "in": "query",
114 "required": true,
115 "schema": {
116 "type": "string"
117 },
118 "description": "Enter your Apify token here"
119 }
120 ],
121 "responses": {
122 "200": {
123 "description": "OK"
124 }
125 }
126 }
127 }
128 },
129 "components": {
130 "schemas": {
131 "inputSchema": {
132 "type": "object",
133 "required": [
134 "username"
135 ],
136 "properties": {
137 "username": {
138 "title": "Truth Social Username",
139 "type": "string",
140 "description": "Truth Social username to scrape data from. All of the following formats are accepted:\n- Username (e.g.: realDonaldTrump)\n- Username starting with @ (e.g.: @realDonaldTrump)\n- Profile URL (e.g.: https://truthsocial.com/@realDonaldTrump)",
141 "default": "realDonaldTrump"
142 },
143 "maxPosts": {
144 "title": "Maximum Number of Posts",
145 "minimum": 5,
146 "type": "integer",
147 "description": "Maximum number of posts to scrape",
148 "default": 20
149 },
150 "useLastPostId": {
151 "title": "Continue from Last Post ID",
152 "type": "boolean",
153 "description": "If enabled, continues from the last post ID of the previous run. Note: Cannot be used with startFromId.",
154 "default": false
155 },
156 "onlyReplies": {
157 "title": "Only Fetch Replies",
158 "type": "boolean",
159 "description": "If enabled, only fetches reply posts. If disabled, only fetches main posts.",
160 "default": false
161 },
162 "onlyMedia": {
163 "title": "Only Fetch Posts with Media",
164 "type": "boolean",
165 "description": "If enabled, only fetches posts containing photos, videos, or other media.",
166 "default": false
167 },
168 "cleanContent": {
169 "title": "Clean Content",
170 "type": "boolean",
171 "description": "If enabled, cleans HTML tags and extra spaces from post contents. If disabled, preserves original content.",
172 "default": true
173 },
174 "startFromId": {
175 "title": "Start from Post ID",
176 "pattern": "^[0-9]{18}$",
177 "minLength": 18,
178 "maxLength": 18,
179 "type": "string",
180 "description": "Fetches posts starting from the specified post ID going backwards. Example: 113847449027767807. Note: Cannot be used with useLastPostId."
181 }
182 }
183 },
184 "runsResponseSchema": {
185 "type": "object",
186 "properties": {
187 "data": {
188 "type": "object",
189 "properties": {
190 "id": {
191 "type": "string"
192 },
193 "actId": {
194 "type": "string"
195 },
196 "userId": {
197 "type": "string"
198 },
199 "startedAt": {
200 "type": "string",
201 "format": "date-time",
202 "example": "2025-01-08T00:00:00.000Z"
203 },
204 "finishedAt": {
205 "type": "string",
206 "format": "date-time",
207 "example": "2025-01-08T00:00:00.000Z"
208 },
209 "status": {
210 "type": "string",
211 "example": "READY"
212 },
213 "meta": {
214 "type": "object",
215 "properties": {
216 "origin": {
217 "type": "string",
218 "example": "API"
219 },
220 "userAgent": {
221 "type": "string"
222 }
223 }
224 },
225 "stats": {
226 "type": "object",
227 "properties": {
228 "inputBodyLen": {
229 "type": "integer",
230 "example": 2000
231 },
232 "rebootCount": {
233 "type": "integer",
234 "example": 0
235 },
236 "restartCount": {
237 "type": "integer",
238 "example": 0
239 },
240 "resurrectCount": {
241 "type": "integer",
242 "example": 0
243 },
244 "computeUnits": {
245 "type": "integer",
246 "example": 0
247 }
248 }
249 },
250 "options": {
251 "type": "object",
252 "properties": {
253 "build": {
254 "type": "string",
255 "example": "latest"
256 },
257 "timeoutSecs": {
258 "type": "integer",
259 "example": 300
260 },
261 "memoryMbytes": {
262 "type": "integer",
263 "example": 1024
264 },
265 "diskMbytes": {
266 "type": "integer",
267 "example": 2048
268 }
269 }
270 },
271 "buildId": {
272 "type": "string"
273 },
274 "defaultKeyValueStoreId": {
275 "type": "string"
276 },
277 "defaultDatasetId": {
278 "type": "string"
279 },
280 "defaultRequestQueueId": {
281 "type": "string"
282 },
283 "buildNumber": {
284 "type": "string",
285 "example": "1.0.0"
286 },
287 "containerUrl": {
288 "type": "string"
289 },
290 "usage": {
291 "type": "object",
292 "properties": {
293 "ACTOR_COMPUTE_UNITS": {
294 "type": "integer",
295 "example": 0
296 },
297 "DATASET_READS": {
298 "type": "integer",
299 "example": 0
300 },
301 "DATASET_WRITES": {
302 "type": "integer",
303 "example": 0
304 },
305 "KEY_VALUE_STORE_READS": {
306 "type": "integer",
307 "example": 0
308 },
309 "KEY_VALUE_STORE_WRITES": {
310 "type": "integer",
311 "example": 1
312 },
313 "KEY_VALUE_STORE_LISTS": {
314 "type": "integer",
315 "example": 0
316 },
317 "REQUEST_QUEUE_READS": {
318 "type": "integer",
319 "example": 0
320 },
321 "REQUEST_QUEUE_WRITES": {
322 "type": "integer",
323 "example": 0
324 },
325 "DATA_TRANSFER_INTERNAL_GBYTES": {
326 "type": "integer",
327 "example": 0
328 },
329 "DATA_TRANSFER_EXTERNAL_GBYTES": {
330 "type": "integer",
331 "example": 0
332 },
333 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
334 "type": "integer",
335 "example": 0
336 },
337 "PROXY_SERPS": {
338 "type": "integer",
339 "example": 0
340 }
341 }
342 },
343 "usageTotalUsd": {
344 "type": "number",
345 "example": 0.00005
346 },
347 "usageUsd": {
348 "type": "object",
349 "properties": {
350 "ACTOR_COMPUTE_UNITS": {
351 "type": "integer",
352 "example": 0
353 },
354 "DATASET_READS": {
355 "type": "integer",
356 "example": 0
357 },
358 "DATASET_WRITES": {
359 "type": "integer",
360 "example": 0
361 },
362 "KEY_VALUE_STORE_READS": {
363 "type": "integer",
364 "example": 0
365 },
366 "KEY_VALUE_STORE_WRITES": {
367 "type": "number",
368 "example": 0.00005
369 },
370 "KEY_VALUE_STORE_LISTS": {
371 "type": "integer",
372 "example": 0
373 },
374 "REQUEST_QUEUE_READS": {
375 "type": "integer",
376 "example": 0
377 },
378 "REQUEST_QUEUE_WRITES": {
379 "type": "integer",
380 "example": 0
381 },
382 "DATA_TRANSFER_INTERNAL_GBYTES": {
383 "type": "integer",
384 "example": 0
385 },
386 "DATA_TRANSFER_EXTERNAL_GBYTES": {
387 "type": "integer",
388 "example": 0
389 },
390 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
391 "type": "integer",
392 "example": 0
393 },
394 "PROXY_SERPS": {
395 "type": "integer",
396 "example": 0
397 }
398 }
399 }
400 }
401 }
402 }
403 }
404 }
405 }
406}
Truth Social Scraper | API Real-Time Trump Posts OpenAPI definition
OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.
OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.
By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.
You can download the OpenAPI definitions for Truth Social Scraper from the options below:
If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.
You can also check out our other API clients:
Pricing
Pricing model
Pay per eventThis Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Actor Initialization
$0.01
Initial setup cost for starting the Truth Social scraper. This covers the basic costs of initializing the actor, validating inputs, and preparing resources for data collection
Each Post Scrape
$0.004
Cost per post collected. Each unit represents processing, cleaning, and storing one Truth Social post including content analysis, media detection, and dataset storage.
Successful Completion
$0.01
Final processing fee charged when the actor completes successfully. This covers the cost of finalizing the dataset, storing the last post ID for future runs, and successful termination of the actor.