Twitter Profile Ppr
Try for free
Pay $0.20 for 1,000 profiles
Go to Store
Twitter Profile Ppr
danek/twitter-profile-ppr
Try for free
Pay $0.20 for 1,000 profiles
Scrap Twitter profiles fast and easy. It is designed to be fast and efficient, so it can extract a large number of profiles for low price.
Developer
Jan DaneckiMaintained by Community
Actor Metrics
11 monthly users
No reviews yet
1 bookmark
>99% runs succeeded
15 days response time
Created in Jan 2025
Modified 2 months ago
You can access the Twitter Profile Ppr programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1{
2 "openapi": "3.0.1",
3 "info": {
4 "version": "1.2",
5 "x-build-id": "Id9I1Ge7pcNYuXwaJ"
6 },
7 "servers": [
8 {
9 "url": "https://api.apify.com/v2"
10 }
11 ],
12 "paths": {
13 "/acts/danek~twitter-profile-ppr/run-sync-get-dataset-items": {
14 "post": {
15 "operationId": "run-sync-get-dataset-items-danek-twitter-profile-ppr",
16 "x-openai-isConsequential": false,
17 "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
18 "tags": [
19 "Run Actor"
20 ],
21 "requestBody": {
22 "required": true,
23 "content": {
24 "application/json": {
25 "schema": {
26 "$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/danek~twitter-profile-ppr/runs": {
50 "post": {
51 "operationId": "runs-sync-danek-twitter-profile-ppr",
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/danek~twitter-profile-ppr/run-sync": {
93 "post": {
94 "operationId": "run-sync-danek-twitter-profile-ppr",
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 "usernames"
135 ],
136 "properties": {
137 "usernames": {
138 "title": "usernames",
139 "type": "array",
140 "description": "Twitter usernames (those with @) to scrape",
141 "items": {
142 "type": "string"
143 }
144 }
145 }
146 },
147 "runsResponseSchema": {
148 "type": "object",
149 "properties": {
150 "data": {
151 "type": "object",
152 "properties": {
153 "id": {
154 "type": "string"
155 },
156 "actId": {
157 "type": "string"
158 },
159 "userId": {
160 "type": "string"
161 },
162 "startedAt": {
163 "type": "string",
164 "format": "date-time",
165 "example": "2025-01-08T00:00:00.000Z"
166 },
167 "finishedAt": {
168 "type": "string",
169 "format": "date-time",
170 "example": "2025-01-08T00:00:00.000Z"
171 },
172 "status": {
173 "type": "string",
174 "example": "READY"
175 },
176 "meta": {
177 "type": "object",
178 "properties": {
179 "origin": {
180 "type": "string",
181 "example": "API"
182 },
183 "userAgent": {
184 "type": "string"
185 }
186 }
187 },
188 "stats": {
189 "type": "object",
190 "properties": {
191 "inputBodyLen": {
192 "type": "integer",
193 "example": 2000
194 },
195 "rebootCount": {
196 "type": "integer",
197 "example": 0
198 },
199 "restartCount": {
200 "type": "integer",
201 "example": 0
202 },
203 "resurrectCount": {
204 "type": "integer",
205 "example": 0
206 },
207 "computeUnits": {
208 "type": "integer",
209 "example": 0
210 }
211 }
212 },
213 "options": {
214 "type": "object",
215 "properties": {
216 "build": {
217 "type": "string",
218 "example": "latest"
219 },
220 "timeoutSecs": {
221 "type": "integer",
222 "example": 300
223 },
224 "memoryMbytes": {
225 "type": "integer",
226 "example": 1024
227 },
228 "diskMbytes": {
229 "type": "integer",
230 "example": 2048
231 }
232 }
233 },
234 "buildId": {
235 "type": "string"
236 },
237 "defaultKeyValueStoreId": {
238 "type": "string"
239 },
240 "defaultDatasetId": {
241 "type": "string"
242 },
243 "defaultRequestQueueId": {
244 "type": "string"
245 },
246 "buildNumber": {
247 "type": "string",
248 "example": "1.0.0"
249 },
250 "containerUrl": {
251 "type": "string"
252 },
253 "usage": {
254 "type": "object",
255 "properties": {
256 "ACTOR_COMPUTE_UNITS": {
257 "type": "integer",
258 "example": 0
259 },
260 "DATASET_READS": {
261 "type": "integer",
262 "example": 0
263 },
264 "DATASET_WRITES": {
265 "type": "integer",
266 "example": 0
267 },
268 "KEY_VALUE_STORE_READS": {
269 "type": "integer",
270 "example": 0
271 },
272 "KEY_VALUE_STORE_WRITES": {
273 "type": "integer",
274 "example": 1
275 },
276 "KEY_VALUE_STORE_LISTS": {
277 "type": "integer",
278 "example": 0
279 },
280 "REQUEST_QUEUE_READS": {
281 "type": "integer",
282 "example": 0
283 },
284 "REQUEST_QUEUE_WRITES": {
285 "type": "integer",
286 "example": 0
287 },
288 "DATA_TRANSFER_INTERNAL_GBYTES": {
289 "type": "integer",
290 "example": 0
291 },
292 "DATA_TRANSFER_EXTERNAL_GBYTES": {
293 "type": "integer",
294 "example": 0
295 },
296 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
297 "type": "integer",
298 "example": 0
299 },
300 "PROXY_SERPS": {
301 "type": "integer",
302 "example": 0
303 }
304 }
305 },
306 "usageTotalUsd": {
307 "type": "number",
308 "example": 0.00005
309 },
310 "usageUsd": {
311 "type": "object",
312 "properties": {
313 "ACTOR_COMPUTE_UNITS": {
314 "type": "integer",
315 "example": 0
316 },
317 "DATASET_READS": {
318 "type": "integer",
319 "example": 0
320 },
321 "DATASET_WRITES": {
322 "type": "integer",
323 "example": 0
324 },
325 "KEY_VALUE_STORE_READS": {
326 "type": "integer",
327 "example": 0
328 },
329 "KEY_VALUE_STORE_WRITES": {
330 "type": "number",
331 "example": 0.00005
332 },
333 "KEY_VALUE_STORE_LISTS": {
334 "type": "integer",
335 "example": 0
336 },
337 "REQUEST_QUEUE_READS": {
338 "type": "integer",
339 "example": 0
340 },
341 "REQUEST_QUEUE_WRITES": {
342 "type": "integer",
343 "example": 0
344 },
345 "DATA_TRANSFER_INTERNAL_GBYTES": {
346 "type": "integer",
347 "example": 0
348 },
349 "DATA_TRANSFER_EXTERNAL_GBYTES": {
350 "type": "integer",
351 "example": 0
352 },
353 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
354 "type": "integer",
355 "example": 0
356 },
357 "PROXY_SERPS": {
358 "type": "integer",
359 "example": 0
360 }
361 }
362 }
363 }
364 }
365 }
366 }
367 }
368 }
369}Twitter Profile Ppr 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 Twitter Profile Ppr 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:
