Twitter (X.com) Scraper Unlimited: No Rate-Limits
Pricing
Pay per event
Twitter (X.com) Scraper Unlimited: No Rate-Limits
Introducing Twitter Scraper Unlimited, the most comprehensive Twitter data extraction solution available. Our enterprise-grade scraper offers unmatched capabilities with a transparent event-based pricing model, making it perfect for both small-scale and large-scale data extraction needs.
4.6 (13)
Pricing
Pay per event
137
Monthly users
1.8k
Runs succeeded
>99%
Response time
2.6 hours
Last modified
8 hours ago
You can access the Twitter (X.com) Scraper Unlimited: No Rate-Limits 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": "AwfkQBkPuOw4XC7Pp"
6 },
7 "servers": [
8 {
9 "url": "https://api.apify.com/v2"
10 }
11 ],
12 "paths": {
13 "/acts/apidojo~twitter-scraper-lite/run-sync-get-dataset-items": {
14 "post": {
15 "operationId": "run-sync-get-dataset-items-apidojo-twitter-scraper-lite",
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 "$ref": "#/components/schemas/inputSchema"
27 }
28 }
29 }
30 },
31 "parameters": [
32 {
33 "name": "token",
34 "in": "query",
35 "required": true,
36 "schema": {
37 "type": "string"
38 },
39 "description": "Enter your Apify token here"
40 }
41 ],
42 "responses": {
43 "200": {
44 "description": "OK"
45 }
46 }
47 }
48 },
49 "/acts/apidojo~twitter-scraper-lite/runs": {
50 "post": {
51 "operationId": "runs-sync-apidojo-twitter-scraper-lite",
52 "x-openai-isConsequential": false,
53 "summary": "Executes an Actor and returns information about the initiated run in response.",
54 "tags": [
55 "Run Actor"
56 ],
57 "requestBody": {
58 "required": true,
59 "content": {
60 "application/json": {
61 "schema": {
62 "$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 "$ref": "#/components/schemas/runsResponseSchema"
85 }
86 }
87 }
88 }
89 }
90 }
91 },
92 "/acts/apidojo~twitter-scraper-lite/run-sync": {
93 "post": {
94 "operationId": "run-sync-apidojo-twitter-scraper-lite",
95 "x-openai-isConsequential": false,
96 "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
97 "tags": [
98 "Run Actor"
99 ],
100 "requestBody": {
101 "required": true,
102 "content": {
103 "application/json": {
104 "schema": {
105 "$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 "properties": {
134 "searchTerms": {
135 "title": "What search terms do you want to scrape?",
136 "type": "array",
137 "description": "If you add search terms, the scraper will find and extract tweets that mention those terms. Alternatively, see further down to scrape by Twitter URL.",
138 "items": {
139 "type": "string"
140 }
141 },
142 "sort": {
143 "title": "Do you want to filter by content?",
144 "enum": [
145 "Top",
146 "Latest"
147 ],
148 "type": "string",
149 "description": "This setting will change how the data is received by the scraper. Setting it to latest yields more results."
150 },
151 "maxItems": {
152 "title": "Maximum number of tweets",
153 "type": "integer",
154 "description": "This value lets you set the maximum number of tweets to retrieve. Twitter has a default limit of around 800 tweets per query. Check the README for workarounds."
155 },
156 "start": {
157 "title": "Tweets from this date",
158 "type": "string",
159 "description": "Scrape tweets starting from this date"
160 },
161 "end": {
162 "title": "Tweets until this date",
163 "type": "string",
164 "description": "Scrape tweets until this date"
165 },
166 "twitterHandles": {
167 "title": "Do you want to scrape by Twitter handle?",
168 "type": "array",
169 "description": "You can add the twitter handles of specific profiles you want to scrape. This is a shortcut so that you don't have to add full username URLs like https://twitter.com/apify",
170 "items": {
171 "type": "string"
172 }
173 },
174 "startUrls": {
175 "title": "Do you want to scrape by Twitter URL?",
176 "type": "array",
177 "description": "This lets you tell the scraper where to start. You can enter Twitter URLs one by one. You can also link to or upload a text file with a list of URLs",
178 "items": {
179 "type": "string"
180 }
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}Twitter (X.com) Scraper Unlimited: No Rate-Limits 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 (X.com) Scraper Unlimited: No Rate-Limits 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.
Search/Profile/List etc Query
$0.016
Price for processing a search term, profile handle, or Twitter query. Includes first ~40 results.
Single Tweet URL Query
$0.050
Price for retrieving data from a specific tweet URL.
Dataset Item Tier 1
$0.000
Pricing for dataset items in small batches (≤5 queries per run).
Dataset Item Tier 2
$0.001
Pricing for dataset items in medium batches (6-10 queries per run).
Dataset Item Tier 3
$0.001
Pricing for dataset items in regular batches (11-30 queries per run).
Dataset Item Tier 4
$0.002
Pricing for dataset items in large batches (31-100 queries per run).
Dataset Item Tier 5
$0.002
Pricing for dataset items in extensive batches (>100 queries per run).
