Twitter (X) Reply Scraper
Try for free
2 hours trial then $20.00/month - No credit card required now
Go to Store
Twitter (X) Reply Scraper
louisdeconinck/twitter-reply-scraper
Try for free
2 hours trial then $20.00/month - No credit card required now
Extract detailed information about tweets and their replies from Twitter/ X.com. This scraper collects data on tweet & comment details, user information, and reply content, providing insights for social media analysis, sentiment tracking & trend monitoring. No authentication or cookies needed.
You can access the Twitter (X) Reply Scraper programmatically from your own applications by using the Apify API. You can choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1{
2 "openapi": "3.0.1",
3 "info": {
4 "version": "1.0",
5 "x-build-id": "HMYTojEzDIOsvxbmf"
6 },
7 "servers": [
8 {
9 "url": "https://api.apify.com/v2"
10 }
11 ],
12 "paths": {
13 "/acts/louisdeconinck~twitter-reply-scraper/run-sync-get-dataset-items": {
14 "post": {
15 "operationId": "run-sync-get-dataset-items-louisdeconinck-twitter-reply-scraper",
16 "x-openai-isConsequential": false,
17 "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
18 "tags": [
19 "Run Actor"
20 ],
21 "requestBody": {
22 "required": true,
23 "content": {
24 "application/json": {
25 "schema": {
26 "$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/louisdeconinck~twitter-reply-scraper/runs": {
50 "post": {
51 "operationId": "runs-sync-louisdeconinck-twitter-reply-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/louisdeconinck~twitter-reply-scraper/run-sync": {
93 "post": {
94 "operationId": "run-sync-louisdeconinck-twitter-reply-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 "startUrls"
135 ],
136 "properties": {
137 "startUrls": {
138 "title": "Start URLs",
139 "type": "array",
140 "description": "URLs to scrape",
141 "items": {
142 "type": "object",
143 "required": [
144 "url"
145 ],
146 "properties": {
147 "url": {
148 "type": "string",
149 "title": "URL of a web page",
150 "format": "uri"
151 }
152 }
153 }
154 },
155 "maxSearchResults": {
156 "title": "Maximum Search Results",
157 "minimum": 1,
158 "type": "integer",
159 "description": "Maximum number of search results to scrape",
160 "default": 10
161 },
162 "maxReplies": {
163 "title": "Maximum Replies",
164 "minimum": 0,
165 "type": "integer",
166 "description": "Maximum number of replies to scrape per tweet",
167 "default": 10
168 }
169 }
170 },
171 "runsResponseSchema": {
172 "type": "object",
173 "properties": {
174 "data": {
175 "type": "object",
176 "properties": {
177 "id": {
178 "type": "string"
179 },
180 "actId": {
181 "type": "string"
182 },
183 "userId": {
184 "type": "string"
185 },
186 "startedAt": {
187 "type": "string",
188 "format": "date-time",
189 "example": "2025-01-08T00:00:00.000Z"
190 },
191 "finishedAt": {
192 "type": "string",
193 "format": "date-time",
194 "example": "2025-01-08T00:00:00.000Z"
195 },
196 "status": {
197 "type": "string",
198 "example": "READY"
199 },
200 "meta": {
201 "type": "object",
202 "properties": {
203 "origin": {
204 "type": "string",
205 "example": "API"
206 },
207 "userAgent": {
208 "type": "string"
209 }
210 }
211 },
212 "stats": {
213 "type": "object",
214 "properties": {
215 "inputBodyLen": {
216 "type": "integer",
217 "example": 2000
218 },
219 "rebootCount": {
220 "type": "integer",
221 "example": 0
222 },
223 "restartCount": {
224 "type": "integer",
225 "example": 0
226 },
227 "resurrectCount": {
228 "type": "integer",
229 "example": 0
230 },
231 "computeUnits": {
232 "type": "integer",
233 "example": 0
234 }
235 }
236 },
237 "options": {
238 "type": "object",
239 "properties": {
240 "build": {
241 "type": "string",
242 "example": "latest"
243 },
244 "timeoutSecs": {
245 "type": "integer",
246 "example": 300
247 },
248 "memoryMbytes": {
249 "type": "integer",
250 "example": 1024
251 },
252 "diskMbytes": {
253 "type": "integer",
254 "example": 2048
255 }
256 }
257 },
258 "buildId": {
259 "type": "string"
260 },
261 "defaultKeyValueStoreId": {
262 "type": "string"
263 },
264 "defaultDatasetId": {
265 "type": "string"
266 },
267 "defaultRequestQueueId": {
268 "type": "string"
269 },
270 "buildNumber": {
271 "type": "string",
272 "example": "1.0.0"
273 },
274 "containerUrl": {
275 "type": "string"
276 },
277 "usage": {
278 "type": "object",
279 "properties": {
280 "ACTOR_COMPUTE_UNITS": {
281 "type": "integer",
282 "example": 0
283 },
284 "DATASET_READS": {
285 "type": "integer",
286 "example": 0
287 },
288 "DATASET_WRITES": {
289 "type": "integer",
290 "example": 0
291 },
292 "KEY_VALUE_STORE_READS": {
293 "type": "integer",
294 "example": 0
295 },
296 "KEY_VALUE_STORE_WRITES": {
297 "type": "integer",
298 "example": 1
299 },
300 "KEY_VALUE_STORE_LISTS": {
301 "type": "integer",
302 "example": 0
303 },
304 "REQUEST_QUEUE_READS": {
305 "type": "integer",
306 "example": 0
307 },
308 "REQUEST_QUEUE_WRITES": {
309 "type": "integer",
310 "example": 0
311 },
312 "DATA_TRANSFER_INTERNAL_GBYTES": {
313 "type": "integer",
314 "example": 0
315 },
316 "DATA_TRANSFER_EXTERNAL_GBYTES": {
317 "type": "integer",
318 "example": 0
319 },
320 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
321 "type": "integer",
322 "example": 0
323 },
324 "PROXY_SERPS": {
325 "type": "integer",
326 "example": 0
327 }
328 }
329 },
330 "usageTotalUsd": {
331 "type": "number",
332 "example": 0.00005
333 },
334 "usageUsd": {
335 "type": "object",
336 "properties": {
337 "ACTOR_COMPUTE_UNITS": {
338 "type": "integer",
339 "example": 0
340 },
341 "DATASET_READS": {
342 "type": "integer",
343 "example": 0
344 },
345 "DATASET_WRITES": {
346 "type": "integer",
347 "example": 0
348 },
349 "KEY_VALUE_STORE_READS": {
350 "type": "integer",
351 "example": 0
352 },
353 "KEY_VALUE_STORE_WRITES": {
354 "type": "number",
355 "example": 0.00005
356 },
357 "KEY_VALUE_STORE_LISTS": {
358 "type": "integer",
359 "example": 0
360 },
361 "REQUEST_QUEUE_READS": {
362 "type": "integer",
363 "example": 0
364 },
365 "REQUEST_QUEUE_WRITES": {
366 "type": "integer",
367 "example": 0
368 },
369 "DATA_TRANSFER_INTERNAL_GBYTES": {
370 "type": "integer",
371 "example": 0
372 },
373 "DATA_TRANSFER_EXTERNAL_GBYTES": {
374 "type": "integer",
375 "example": 0
376 },
377 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
378 "type": "integer",
379 "example": 0
380 },
381 "PROXY_SERPS": {
382 "type": "integer",
383 "example": 0
384 }
385 }
386 }
387 }
388 }
389 }
390 }
391 }
392 }
393}Twitter (X) Reply Scraper 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) Reply 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:
Developer
Louis DeconinckMaintained by Community
Actor Metrics
41 monthly users
-
2 stars
51% runs succeeded
23 days response time
Created in Oct 2024
Modified 2 months ago
Categories
