Pinterest Data Extractor
Try for free
3 days trial then $35.00/month - No credit card required now
Go to Store
Pinterest Data Extractor
epctex/pinterest-scraper
Try for free
3 days trial then $35.00/month - No credit card required now
Unleash the potential of our Pinterest Scraper to gather pins, comments, user info, photos, videos, and deep insights. Extract titles, prices, creation date, user language, user locale, images, hashtags, and more. Export in XML, JSON, CSV, Excel, or HTML for unlimited and fast insights!
You can access the Pinterest Data Extractor programmatically from your own applications by using the Apify API. You can choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1{
2 "openapi": "3.0.1",
3 "info": {
4 "version": "0.0",
5 "x-build-id": "lMfAyMwVxCAWhAdjO"
6 },
7 "servers": [
8 {
9 "url": "https://api.apify.com/v2"
10 }
11 ],
12 "paths": {
13 "/acts/epctex~pinterest-scraper/run-sync-get-dataset-items": {
14 "post": {
15 "operationId": "run-sync-get-dataset-items-epctex-pinterest-scraper",
16 "x-openai-isConsequential": false,
17 "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
18 "tags": [
19 "Run Actor"
20 ],
21 "requestBody": {
22 "required": true,
23 "content": {
24 "application/json": {
25 "schema": {
26 "$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/epctex~pinterest-scraper/runs": {
50 "post": {
51 "operationId": "runs-sync-epctex-pinterest-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/epctex~pinterest-scraper/run-sync": {
93 "post": {
94 "operationId": "run-sync-epctex-pinterest-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 "$ref": "#/components/schemas/inputSchema"
106 }
107 }
108 }
109 },
110 "parameters": [
111 {
112 "name": "token",
113 "in": "query",
114 "required": true,
115 "schema": {
116 "type": "string"
117 },
118 "description": "Enter your Apify token here"
119 }
120 ],
121 "responses": {
122 "200": {
123 "description": "OK"
124 }
125 }
126 }
127 }
128 },
129 "components": {
130 "schemas": {
131 "inputSchema": {
132 "type": "object",
133 "required": [
134 "proxy"
135 ],
136 "properties": {
137 "startUrls": {
138 "title": "Start URLs",
139 "type": "array",
140 "description": "URLs to start with. You can provide pin, idea, collection, user or search URL.",
141 "items": {
142 "type": "string"
143 }
144 },
145 "search": {
146 "title": "Search keyword",
147 "type": "string",
148 "description": "The keyword that you can search on Pinterest"
149 },
150 "includeComments": {
151 "title": "Include comments",
152 "type": "boolean",
153 "description": "Include comments for the pins",
154 "default": false
155 },
156 "includeUserInfoOnly": {
157 "title": "Include only user info",
158 "type": "boolean",
159 "description": "Includes only user info for fewer requests and faster results",
160 "default": false
161 },
162 "maxItems": {
163 "title": "Maximum number of items",
164 "type": "integer",
165 "description": "Maximum number of items that you want as output. Default is all"
166 },
167 "endPage": {
168 "title": "List end page",
169 "type": "integer",
170 "description": "The page number that you want to end with. By default there is no end page. This is applies to all search request and startUrls individually."
171 },
172 "extendOutputFunction": {
173 "title": "Extend output function",
174 "type": "string",
175 "description": "Function that takes a JQuery handle ($) as argument and returns data that will be merged with the default output"
176 },
177 "customMapFunction": {
178 "title": "Custom map function",
179 "type": "string",
180 "description": "Function that takes each of the objects as argument and returns data that will be mapped by the function itself."
181 },
182 "proxy": {
183 "title": "Proxy configuration",
184 "type": "object",
185 "description": "Select proxies to be used by your crawler."
186 }
187 }
188 },
189 "runsResponseSchema": {
190 "type": "object",
191 "properties": {
192 "data": {
193 "type": "object",
194 "properties": {
195 "id": {
196 "type": "string"
197 },
198 "actId": {
199 "type": "string"
200 },
201 "userId": {
202 "type": "string"
203 },
204 "startedAt": {
205 "type": "string",
206 "format": "date-time",
207 "example": "2025-01-08T00:00:00.000Z"
208 },
209 "finishedAt": {
210 "type": "string",
211 "format": "date-time",
212 "example": "2025-01-08T00:00:00.000Z"
213 },
214 "status": {
215 "type": "string",
216 "example": "READY"
217 },
218 "meta": {
219 "type": "object",
220 "properties": {
221 "origin": {
222 "type": "string",
223 "example": "API"
224 },
225 "userAgent": {
226 "type": "string"
227 }
228 }
229 },
230 "stats": {
231 "type": "object",
232 "properties": {
233 "inputBodyLen": {
234 "type": "integer",
235 "example": 2000
236 },
237 "rebootCount": {
238 "type": "integer",
239 "example": 0
240 },
241 "restartCount": {
242 "type": "integer",
243 "example": 0
244 },
245 "resurrectCount": {
246 "type": "integer",
247 "example": 0
248 },
249 "computeUnits": {
250 "type": "integer",
251 "example": 0
252 }
253 }
254 },
255 "options": {
256 "type": "object",
257 "properties": {
258 "build": {
259 "type": "string",
260 "example": "latest"
261 },
262 "timeoutSecs": {
263 "type": "integer",
264 "example": 300
265 },
266 "memoryMbytes": {
267 "type": "integer",
268 "example": 1024
269 },
270 "diskMbytes": {
271 "type": "integer",
272 "example": 2048
273 }
274 }
275 },
276 "buildId": {
277 "type": "string"
278 },
279 "defaultKeyValueStoreId": {
280 "type": "string"
281 },
282 "defaultDatasetId": {
283 "type": "string"
284 },
285 "defaultRequestQueueId": {
286 "type": "string"
287 },
288 "buildNumber": {
289 "type": "string",
290 "example": "1.0.0"
291 },
292 "containerUrl": {
293 "type": "string"
294 },
295 "usage": {
296 "type": "object",
297 "properties": {
298 "ACTOR_COMPUTE_UNITS": {
299 "type": "integer",
300 "example": 0
301 },
302 "DATASET_READS": {
303 "type": "integer",
304 "example": 0
305 },
306 "DATASET_WRITES": {
307 "type": "integer",
308 "example": 0
309 },
310 "KEY_VALUE_STORE_READS": {
311 "type": "integer",
312 "example": 0
313 },
314 "KEY_VALUE_STORE_WRITES": {
315 "type": "integer",
316 "example": 1
317 },
318 "KEY_VALUE_STORE_LISTS": {
319 "type": "integer",
320 "example": 0
321 },
322 "REQUEST_QUEUE_READS": {
323 "type": "integer",
324 "example": 0
325 },
326 "REQUEST_QUEUE_WRITES": {
327 "type": "integer",
328 "example": 0
329 },
330 "DATA_TRANSFER_INTERNAL_GBYTES": {
331 "type": "integer",
332 "example": 0
333 },
334 "DATA_TRANSFER_EXTERNAL_GBYTES": {
335 "type": "integer",
336 "example": 0
337 },
338 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
339 "type": "integer",
340 "example": 0
341 },
342 "PROXY_SERPS": {
343 "type": "integer",
344 "example": 0
345 }
346 }
347 },
348 "usageTotalUsd": {
349 "type": "number",
350 "example": 0.00005
351 },
352 "usageUsd": {
353 "type": "object",
354 "properties": {
355 "ACTOR_COMPUTE_UNITS": {
356 "type": "integer",
357 "example": 0
358 },
359 "DATASET_READS": {
360 "type": "integer",
361 "example": 0
362 },
363 "DATASET_WRITES": {
364 "type": "integer",
365 "example": 0
366 },
367 "KEY_VALUE_STORE_READS": {
368 "type": "integer",
369 "example": 0
370 },
371 "KEY_VALUE_STORE_WRITES": {
372 "type": "number",
373 "example": 0.00005
374 },
375 "KEY_VALUE_STORE_LISTS": {
376 "type": "integer",
377 "example": 0
378 },
379 "REQUEST_QUEUE_READS": {
380 "type": "integer",
381 "example": 0
382 },
383 "REQUEST_QUEUE_WRITES": {
384 "type": "integer",
385 "example": 0
386 },
387 "DATA_TRANSFER_INTERNAL_GBYTES": {
388 "type": "integer",
389 "example": 0
390 },
391 "DATA_TRANSFER_EXTERNAL_GBYTES": {
392 "type": "integer",
393 "example": 0
394 },
395 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
396 "type": "integer",
397 "example": 0
398 },
399 "PROXY_SERPS": {
400 "type": "integer",
401 "example": 0
402 }
403 }
404 }
405 }
406 }
407 }
408 }
409 }
410 }
411}Pinterest Insights 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 Pinterest Data Extractor 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
epctexMaintained by Community
Actor Metrics
51 monthly users
-
12 stars
>99% runs succeeded
6.8 hours response time
Created in Feb 2023
Modified 7 hours ago
Categories
