Dynamic Web Scraper
Pricing
Pay per event
Dynamic Web Scraper
Dynamic Web Scraper is an Apify Actor that gathers information online by simulating user browsing behavior on the web. It reduces the time and amount of scraped web pages by using a model (ChatGPT) to make decisions regarding browser navigation and results evaluation.
0.0 (0)
Pricing
Pay per event
1
Monthly users
34
Runs succeeded
>99%
Last modified
21 days ago
You can access the Dynamic Web 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": "3RUqw5zwczJUEKCIq"
6 },
7 "servers": [
8 {
9 "url": "https://api.apify.com/v2"
10 }
11 ],
12 "paths": {
13 "/acts/josejet~dynamic-web-scraper/run-sync-get-dataset-items": {
14 "post": {
15 "operationId": "run-sync-get-dataset-items-josejet-dynamic-web-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 "$ref": "#/components/schemas/inputSchema"
27 }
28 }
29 }
30 },
31 "parameters": [
32 {
33 "name": "token",
34 "in": "query",
35 "required": true,
36 "schema": {
37 "type": "string"
38 },
39 "description": "Enter your Apify token here"
40 }
41 ],
42 "responses": {
43 "200": {
44 "description": "OK"
45 }
46 }
47 }
48 },
49 "/acts/josejet~dynamic-web-scraper/runs": {
50 "post": {
51 "operationId": "runs-sync-josejet-dynamic-web-scraper",
52 "x-openai-isConsequential": false,
53 "summary": "Executes an Actor and returns information about the initiated run in response.",
54 "tags": [
55 "Run Actor"
56 ],
57 "requestBody": {
58 "required": true,
59 "content": {
60 "application/json": {
61 "schema": {
62 "$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 "$ref": "#/components/schemas/runsResponseSchema"
85 }
86 }
87 }
88 }
89 }
90 }
91 },
92 "/acts/josejet~dynamic-web-scraper/run-sync": {
93 "post": {
94 "operationId": "run-sync-josejet-dynamic-web-scraper",
95 "x-openai-isConsequential": false,
96 "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
97 "tags": [
98 "Run Actor"
99 ],
100 "requestBody": {
101 "required": true,
102 "content": {
103 "application/json": {
104 "schema": {
105 "$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 "startSources",
135 "prompt"
136 ],
137 "properties": {
138 "startSources": {
139 "title": "Start Sources",
140 "minItems": 1,
141 "type": "array",
142 "description": "Sources to start with, could be .",
143 "items": {
144 "type": "string"
145 }
146 },
147 "prompt": {
148 "title": "Prompt",
149 "type": "string",
150 "description": "Prompt to evaluate on content."
151 },
152 "maxDepth": {
153 "title": "Max Depth",
154 "type": "integer",
155 "description": "Maximum depth to scrape.",
156 "default": 3
157 }
158 }
159 },
160 "runsResponseSchema": {
161 "type": "object",
162 "properties": {
163 "data": {
164 "type": "object",
165 "properties": {
166 "id": {
167 "type": "string"
168 },
169 "actId": {
170 "type": "string"
171 },
172 "userId": {
173 "type": "string"
174 },
175 "startedAt": {
176 "type": "string",
177 "format": "date-time",
178 "example": "2025-01-08T00:00:00.000Z"
179 },
180 "finishedAt": {
181 "type": "string",
182 "format": "date-time",
183 "example": "2025-01-08T00:00:00.000Z"
184 },
185 "status": {
186 "type": "string",
187 "example": "READY"
188 },
189 "meta": {
190 "type": "object",
191 "properties": {
192 "origin": {
193 "type": "string",
194 "example": "API"
195 },
196 "userAgent": {
197 "type": "string"
198 }
199 }
200 },
201 "stats": {
202 "type": "object",
203 "properties": {
204 "inputBodyLen": {
205 "type": "integer",
206 "example": 2000
207 },
208 "rebootCount": {
209 "type": "integer",
210 "example": 0
211 },
212 "restartCount": {
213 "type": "integer",
214 "example": 0
215 },
216 "resurrectCount": {
217 "type": "integer",
218 "example": 0
219 },
220 "computeUnits": {
221 "type": "integer",
222 "example": 0
223 }
224 }
225 },
226 "options": {
227 "type": "object",
228 "properties": {
229 "build": {
230 "type": "string",
231 "example": "latest"
232 },
233 "timeoutSecs": {
234 "type": "integer",
235 "example": 300
236 },
237 "memoryMbytes": {
238 "type": "integer",
239 "example": 1024
240 },
241 "diskMbytes": {
242 "type": "integer",
243 "example": 2048
244 }
245 }
246 },
247 "buildId": {
248 "type": "string"
249 },
250 "defaultKeyValueStoreId": {
251 "type": "string"
252 },
253 "defaultDatasetId": {
254 "type": "string"
255 },
256 "defaultRequestQueueId": {
257 "type": "string"
258 },
259 "buildNumber": {
260 "type": "string",
261 "example": "1.0.0"
262 },
263 "containerUrl": {
264 "type": "string"
265 },
266 "usage": {
267 "type": "object",
268 "properties": {
269 "ACTOR_COMPUTE_UNITS": {
270 "type": "integer",
271 "example": 0
272 },
273 "DATASET_READS": {
274 "type": "integer",
275 "example": 0
276 },
277 "DATASET_WRITES": {
278 "type": "integer",
279 "example": 0
280 },
281 "KEY_VALUE_STORE_READS": {
282 "type": "integer",
283 "example": 0
284 },
285 "KEY_VALUE_STORE_WRITES": {
286 "type": "integer",
287 "example": 1
288 },
289 "KEY_VALUE_STORE_LISTS": {
290 "type": "integer",
291 "example": 0
292 },
293 "REQUEST_QUEUE_READS": {
294 "type": "integer",
295 "example": 0
296 },
297 "REQUEST_QUEUE_WRITES": {
298 "type": "integer",
299 "example": 0
300 },
301 "DATA_TRANSFER_INTERNAL_GBYTES": {
302 "type": "integer",
303 "example": 0
304 },
305 "DATA_TRANSFER_EXTERNAL_GBYTES": {
306 "type": "integer",
307 "example": 0
308 },
309 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
310 "type": "integer",
311 "example": 0
312 },
313 "PROXY_SERPS": {
314 "type": "integer",
315 "example": 0
316 }
317 }
318 },
319 "usageTotalUsd": {
320 "type": "number",
321 "example": 0.00005
322 },
323 "usageUsd": {
324 "type": "object",
325 "properties": {
326 "ACTOR_COMPUTE_UNITS": {
327 "type": "integer",
328 "example": 0
329 },
330 "DATASET_READS": {
331 "type": "integer",
332 "example": 0
333 },
334 "DATASET_WRITES": {
335 "type": "integer",
336 "example": 0
337 },
338 "KEY_VALUE_STORE_READS": {
339 "type": "integer",
340 "example": 0
341 },
342 "KEY_VALUE_STORE_WRITES": {
343 "type": "number",
344 "example": 0.00005
345 },
346 "KEY_VALUE_STORE_LISTS": {
347 "type": "integer",
348 "example": 0
349 },
350 "REQUEST_QUEUE_READS": {
351 "type": "integer",
352 "example": 0
353 },
354 "REQUEST_QUEUE_WRITES": {
355 "type": "integer",
356 "example": 0
357 },
358 "DATA_TRANSFER_INTERNAL_GBYTES": {
359 "type": "integer",
360 "example": 0
361 },
362 "DATA_TRANSFER_EXTERNAL_GBYTES": {
363 "type": "integer",
364 "example": 0
365 },
366 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
367 "type": "integer",
368 "example": 0
369 },
370 "PROXY_SERPS": {
371 "type": "integer",
372 "example": 0
373 }
374 }
375 }
376 }
377 }
378 }
379 }
380 }
381 }
382}Dynamic Web 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 Dynamic Web 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 result. You are not charged for the Apify platform usage, but only a fixed price for each dataset of 1,000 items in the Actor outputs.
Start the actor
$0.010
Start the actor
ChatGPT API call
$0.010
Performing a request to CHAT GPT API
Pushing to Dataset
$0.010
Pushing To Dataset
