
Ai Web Scraper - Natural language and Vision scraper
Pricing
Pay per event

Ai Web Scraper - Natural language and Vision scraper
Powerful AI Web Scraper using Google's Gemini Vision. Specify data extraction in natural language. Supports infinite scroll, above-the-fold analysis, automatic cookie consent, pay-per-event pricing, and screenshot storage for debugging.
0.0 (0)
Pricing
Pay per event
1
Monthly users
19
Runs succeeded
>99%
Last modified
7 days ago
You can access the Ai Web Scraper - Natural language and Vision 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": "wmCMauQC7a0bgw5U7"
6 },
7 "servers": [
8 {
9 "url": "https://api.apify.com/v2"
10 }
11 ],
12 "paths": {
13 "/acts/eloquent_mountain~ai-universal-web-scraper-natural-language/run-sync-get-dataset-items": {
14 "post": {
15 "operationId": "run-sync-get-dataset-items-eloquent_mountain-ai-universal-web-scraper-natural-language",
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 "$ref": "#/components/schemas/inputSchema"
27 }
28 }
29 }
30 },
31 "parameters": [
32 {
33 "name": "token",
34 "in": "query",
35 "required": true,
36 "schema": {
37 "type": "string"
38 },
39 "description": "Enter your Apify token here"
40 }
41 ],
42 "responses": {
43 "200": {
44 "description": "OK"
45 }
46 }
47 }
48 },
49 "/acts/eloquent_mountain~ai-universal-web-scraper-natural-language/runs": {
50 "post": {
51 "operationId": "runs-sync-eloquent_mountain-ai-universal-web-scraper-natural-language",
52 "x-openai-isConsequential": false,
53 "summary": "Executes an Actor and returns information about the initiated run in response.",
54 "tags": [
55 "Run Actor"
56 ],
57 "requestBody": {
58 "required": true,
59 "content": {
60 "application/json": {
61 "schema": {
62 "$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 "$ref": "#/components/schemas/runsResponseSchema"
85 }
86 }
87 }
88 }
89 }
90 }
91 },
92 "/acts/eloquent_mountain~ai-universal-web-scraper-natural-language/run-sync": {
93 "post": {
94 "operationId": "run-sync-eloquent_mountain-ai-universal-web-scraper-natural-language",
95 "x-openai-isConsequential": false,
96 "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
97 "tags": [
98 "Run Actor"
99 ],
100 "requestBody": {
101 "required": true,
102 "content": {
103 "application/json": {
104 "schema": {
105 "$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 "start_urls",
135 "instructions"
136 ],
137 "properties": {
138 "start_urls": {
139 "title": "Start URLs",
140 "type": "array",
141 "description": "Provide one or more URLs",
142 "items": {
143 "type": "string"
144 }
145 },
146 "instructions": {
147 "title": "Instructions",
148 "type": "string",
149 "description": "Desired items to scrape in natural language. Example: 'product description and product price'"
150 },
151 "has_infinite_scroll": {
152 "title": "Page has infinite scrolling?",
153 "type": "boolean",
154 "description": "If true, we'll attempt repeated scrolling until the bottom is reached. If false, we split the page based on viewport size to avoid duplicate screenshots.",
155 "default": false
156 },
157 "above_fold_only": {
158 "title": "Above the fold only",
159 "type": "boolean",
160 "description": "When enabled, only the visible part of the page (above the fold) will be analyzed without scrolling",
161 "default": false
162 },
163 "save_screenshots": {
164 "title": "Save screenshots",
165 "type": "boolean",
166 "description": "When enabled, all captured screenshots will be saved to storage for debugging purposes",
167 "default": false
168 },
169 "device_type": {
170 "title": "Device Type",
171 "enum": [
172 "desktop",
173 "mobile"
174 ],
175 "type": "string",
176 "description": "Select the device type to emulate when scraping",
177 "default": "desktop"
178 },
179 "mobile_device_model": {
180 "title": "Mobile Device Model",
181 "enum": [
182 "iPhone 15 Pro Max",
183 "iPhone 15 Pro",
184 "iPhone 15 Plus",
185 "iPhone 15",
186 "iPhone SE (2022)",
187 "Samsung Galaxy S24",
188 "Samsung Galaxy S23",
189 "Custom"
190 ],
191 "type": "string",
192 "description": "Select a specific mobile device model to emulate (only used when Device Type is set to 'mobile')",
193 "default": "iPhone 15"
194 },
195 "custom_viewport_width": {
196 "title": "Custom Viewport Width",
197 "minimum": 320,
198 "maximum": 2560,
199 "type": "integer",
200 "description": "Custom viewport width in pixels (only used when Mobile Device Model is set to 'Custom')",
201 "default": 393
202 },
203 "custom_viewport_height": {
204 "title": "Custom Viewport Height",
205 "minimum": 480,
206 "maximum": 1440,
207 "type": "integer",
208 "description": "Custom viewport height in pixels (only used when Mobile Device Model is set to 'Custom')",
209 "default": 852
210 }
211 }
212 },
213 "runsResponseSchema": {
214 "type": "object",
215 "properties": {
216 "data": {
217 "type": "object",
218 "properties": {
219 "id": {
220 "type": "string"
221 },
222 "actId": {
223 "type": "string"
224 },
225 "userId": {
226 "type": "string"
227 },
228 "startedAt": {
229 "type": "string",
230 "format": "date-time",
231 "example": "2025-01-08T00:00:00.000Z"
232 },
233 "finishedAt": {
234 "type": "string",
235 "format": "date-time",
236 "example": "2025-01-08T00:00:00.000Z"
237 },
238 "status": {
239 "type": "string",
240 "example": "READY"
241 },
242 "meta": {
243 "type": "object",
244 "properties": {
245 "origin": {
246 "type": "string",
247 "example": "API"
248 },
249 "userAgent": {
250 "type": "string"
251 }
252 }
253 },
254 "stats": {
255 "type": "object",
256 "properties": {
257 "inputBodyLen": {
258 "type": "integer",
259 "example": 2000
260 },
261 "rebootCount": {
262 "type": "integer",
263 "example": 0
264 },
265 "restartCount": {
266 "type": "integer",
267 "example": 0
268 },
269 "resurrectCount": {
270 "type": "integer",
271 "example": 0
272 },
273 "computeUnits": {
274 "type": "integer",
275 "example": 0
276 }
277 }
278 },
279 "options": {
280 "type": "object",
281 "properties": {
282 "build": {
283 "type": "string",
284 "example": "latest"
285 },
286 "timeoutSecs": {
287 "type": "integer",
288 "example": 300
289 },
290 "memoryMbytes": {
291 "type": "integer",
292 "example": 1024
293 },
294 "diskMbytes": {
295 "type": "integer",
296 "example": 2048
297 }
298 }
299 },
300 "buildId": {
301 "type": "string"
302 },
303 "defaultKeyValueStoreId": {
304 "type": "string"
305 },
306 "defaultDatasetId": {
307 "type": "string"
308 },
309 "defaultRequestQueueId": {
310 "type": "string"
311 },
312 "buildNumber": {
313 "type": "string",
314 "example": "1.0.0"
315 },
316 "containerUrl": {
317 "type": "string"
318 },
319 "usage": {
320 "type": "object",
321 "properties": {
322 "ACTOR_COMPUTE_UNITS": {
323 "type": "integer",
324 "example": 0
325 },
326 "DATASET_READS": {
327 "type": "integer",
328 "example": 0
329 },
330 "DATASET_WRITES": {
331 "type": "integer",
332 "example": 0
333 },
334 "KEY_VALUE_STORE_READS": {
335 "type": "integer",
336 "example": 0
337 },
338 "KEY_VALUE_STORE_WRITES": {
339 "type": "integer",
340 "example": 1
341 },
342 "KEY_VALUE_STORE_LISTS": {
343 "type": "integer",
344 "example": 0
345 },
346 "REQUEST_QUEUE_READS": {
347 "type": "integer",
348 "example": 0
349 },
350 "REQUEST_QUEUE_WRITES": {
351 "type": "integer",
352 "example": 0
353 },
354 "DATA_TRANSFER_INTERNAL_GBYTES": {
355 "type": "integer",
356 "example": 0
357 },
358 "DATA_TRANSFER_EXTERNAL_GBYTES": {
359 "type": "integer",
360 "example": 0
361 },
362 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
363 "type": "integer",
364 "example": 0
365 },
366 "PROXY_SERPS": {
367 "type": "integer",
368 "example": 0
369 }
370 }
371 },
372 "usageTotalUsd": {
373 "type": "number",
374 "example": 0.00005
375 },
376 "usageUsd": {
377 "type": "object",
378 "properties": {
379 "ACTOR_COMPUTE_UNITS": {
380 "type": "integer",
381 "example": 0
382 },
383 "DATASET_READS": {
384 "type": "integer",
385 "example": 0
386 },
387 "DATASET_WRITES": {
388 "type": "integer",
389 "example": 0
390 },
391 "KEY_VALUE_STORE_READS": {
392 "type": "integer",
393 "example": 0
394 },
395 "KEY_VALUE_STORE_WRITES": {
396 "type": "number",
397 "example": 0.00005
398 },
399 "KEY_VALUE_STORE_LISTS": {
400 "type": "integer",
401 "example": 0
402 },
403 "REQUEST_QUEUE_READS": {
404 "type": "integer",
405 "example": 0
406 },
407 "REQUEST_QUEUE_WRITES": {
408 "type": "integer",
409 "example": 0
410 },
411 "DATA_TRANSFER_INTERNAL_GBYTES": {
412 "type": "integer",
413 "example": 0
414 },
415 "DATA_TRANSFER_EXTERNAL_GBYTES": {
416 "type": "integer",
417 "example": 0
418 },
419 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
420 "type": "integer",
421 "example": 0
422 },
423 "PROXY_SERPS": {
424 "type": "integer",
425 "example": 0
426 }
427 }
428 }
429 }
430 }
431 }
432 }
433 }
434 }
435}
Ai Web Scraper - Natural language and Vision 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 Ai Web Scraper - Natural language and Vision 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.
VISION_API_CALL
$0.010
Vision API call for a resolution image of 1920 x 1080