Amazon Products and Bestsellers Scraper
Try for free
No credit card required
Go to Store
Amazon Products and Bestsellers Scraper
curious_coder/amazon-scraper
Try for free
No credit card required
Scrape products from amazon category pages, search results, best sellers, gitfts, etc and extract complete details such as description, price, rating, bestsellers ranks, badges, photos etc
You can access the Amazon Products and Bestsellers 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": "F8Vg1dERDuzwQq3GQ"
6 },
7 "servers": [
8 {
9 "url": "https://api.apify.com/v2"
10 }
11 ],
12 "paths": {
13 "/acts/curious_coder~amazon-scraper/run-sync-get-dataset-items": {
14 "post": {
15 "operationId": "run-sync-get-dataset-items-curious_coder-amazon-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 "$ref": "#/components/schemas/inputSchema"
27 }
28 }
29 }
30 },
31 "parameters": [
32 {
33 "name": "token",
34 "in": "query",
35 "required": true,
36 "schema": {
37 "type": "string"
38 },
39 "description": "Enter your Apify token here"
40 }
41 ],
42 "responses": {
43 "200": {
44 "description": "OK"
45 }
46 }
47 }
48 },
49 "/acts/curious_coder~amazon-scraper/runs": {
50 "post": {
51 "operationId": "runs-sync-curious_coder-amazon-scraper",
52 "x-openai-isConsequential": false,
53 "summary": "Executes an Actor and returns information about the initiated run in response.",
54 "tags": [
55 "Run Actor"
56 ],
57 "requestBody": {
58 "required": true,
59 "content": {
60 "application/json": {
61 "schema": {
62 "$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 "$ref": "#/components/schemas/runsResponseSchema"
85 }
86 }
87 }
88 }
89 }
90 }
91 },
92 "/acts/curious_coder~amazon-scraper/run-sync": {
93 "post": {
94 "operationId": "run-sync-curious_coder-amazon-scraper",
95 "x-openai-isConsequential": false,
96 "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
97 "tags": [
98 "Run Actor"
99 ],
100 "requestBody": {
101 "required": true,
102 "content": {
103 "application/json": {
104 "schema": {
105 "$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 "searchUrl",
135 "startPage",
136 "proxy"
137 ],
138 "properties": {
139 "searchUrl": {
140 "title": "Search url",
141 "type": "string",
142 "description": "Enter search url"
143 },
144 "deepScrape": {
145 "title": "Deep scrape",
146 "type": "boolean",
147 "description": "Scraper will visit product details page and extract more information",
148 "default": false
149 },
150 "startPage": {
151 "title": "Start page",
152 "type": "integer",
153 "description": "Page number to start scraping",
154 "default": 1
155 },
156 "count": {
157 "title": "#️⃣ Total number of records required",
158 "type": "integer",
159 "description": "Leave this field empty if you want to scrape all items."
160 },
161 "threadCount": {
162 "title": "Concurrency",
163 "minimum": 1,
164 "type": "integer",
165 "description": "Use multiple scraper instances to speed up scraping",
166 "default": 1
167 },
168 "proxy": {
169 "title": "Proxy",
170 "type": "object",
171 "description": "Residential proxy is required to be able to scrape data from amazon using this actor"
172 }
173 }
174 },
175 "runsResponseSchema": {
176 "type": "object",
177 "properties": {
178 "data": {
179 "type": "object",
180 "properties": {
181 "id": {
182 "type": "string"
183 },
184 "actId": {
185 "type": "string"
186 },
187 "userId": {
188 "type": "string"
189 },
190 "startedAt": {
191 "type": "string",
192 "format": "date-time",
193 "example": "2025-01-08T00:00:00.000Z"
194 },
195 "finishedAt": {
196 "type": "string",
197 "format": "date-time",
198 "example": "2025-01-08T00:00:00.000Z"
199 },
200 "status": {
201 "type": "string",
202 "example": "READY"
203 },
204 "meta": {
205 "type": "object",
206 "properties": {
207 "origin": {
208 "type": "string",
209 "example": "API"
210 },
211 "userAgent": {
212 "type": "string"
213 }
214 }
215 },
216 "stats": {
217 "type": "object",
218 "properties": {
219 "inputBodyLen": {
220 "type": "integer",
221 "example": 2000
222 },
223 "rebootCount": {
224 "type": "integer",
225 "example": 0
226 },
227 "restartCount": {
228 "type": "integer",
229 "example": 0
230 },
231 "resurrectCount": {
232 "type": "integer",
233 "example": 0
234 },
235 "computeUnits": {
236 "type": "integer",
237 "example": 0
238 }
239 }
240 },
241 "options": {
242 "type": "object",
243 "properties": {
244 "build": {
245 "type": "string",
246 "example": "latest"
247 },
248 "timeoutSecs": {
249 "type": "integer",
250 "example": 300
251 },
252 "memoryMbytes": {
253 "type": "integer",
254 "example": 1024
255 },
256 "diskMbytes": {
257 "type": "integer",
258 "example": 2048
259 }
260 }
261 },
262 "buildId": {
263 "type": "string"
264 },
265 "defaultKeyValueStoreId": {
266 "type": "string"
267 },
268 "defaultDatasetId": {
269 "type": "string"
270 },
271 "defaultRequestQueueId": {
272 "type": "string"
273 },
274 "buildNumber": {
275 "type": "string",
276 "example": "1.0.0"
277 },
278 "containerUrl": {
279 "type": "string"
280 },
281 "usage": {
282 "type": "object",
283 "properties": {
284 "ACTOR_COMPUTE_UNITS": {
285 "type": "integer",
286 "example": 0
287 },
288 "DATASET_READS": {
289 "type": "integer",
290 "example": 0
291 },
292 "DATASET_WRITES": {
293 "type": "integer",
294 "example": 0
295 },
296 "KEY_VALUE_STORE_READS": {
297 "type": "integer",
298 "example": 0
299 },
300 "KEY_VALUE_STORE_WRITES": {
301 "type": "integer",
302 "example": 1
303 },
304 "KEY_VALUE_STORE_LISTS": {
305 "type": "integer",
306 "example": 0
307 },
308 "REQUEST_QUEUE_READS": {
309 "type": "integer",
310 "example": 0
311 },
312 "REQUEST_QUEUE_WRITES": {
313 "type": "integer",
314 "example": 0
315 },
316 "DATA_TRANSFER_INTERNAL_GBYTES": {
317 "type": "integer",
318 "example": 0
319 },
320 "DATA_TRANSFER_EXTERNAL_GBYTES": {
321 "type": "integer",
322 "example": 0
323 },
324 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
325 "type": "integer",
326 "example": 0
327 },
328 "PROXY_SERPS": {
329 "type": "integer",
330 "example": 0
331 }
332 }
333 },
334 "usageTotalUsd": {
335 "type": "number",
336 "example": 0.00005
337 },
338 "usageUsd": {
339 "type": "object",
340 "properties": {
341 "ACTOR_COMPUTE_UNITS": {
342 "type": "integer",
343 "example": 0
344 },
345 "DATASET_READS": {
346 "type": "integer",
347 "example": 0
348 },
349 "DATASET_WRITES": {
350 "type": "integer",
351 "example": 0
352 },
353 "KEY_VALUE_STORE_READS": {
354 "type": "integer",
355 "example": 0
356 },
357 "KEY_VALUE_STORE_WRITES": {
358 "type": "number",
359 "example": 0.00005
360 },
361 "KEY_VALUE_STORE_LISTS": {
362 "type": "integer",
363 "example": 0
364 },
365 "REQUEST_QUEUE_READS": {
366 "type": "integer",
367 "example": 0
368 },
369 "REQUEST_QUEUE_WRITES": {
370 "type": "integer",
371 "example": 0
372 },
373 "DATA_TRANSFER_INTERNAL_GBYTES": {
374 "type": "integer",
375 "example": 0
376 },
377 "DATA_TRANSFER_EXTERNAL_GBYTES": {
378 "type": "integer",
379 "example": 0
380 },
381 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
382 "type": "integer",
383 "example": 0
384 },
385 "PROXY_SERPS": {
386 "type": "integer",
387 "example": 0
388 }
389 }
390 }
391 }
392 }
393 }
394 }
395 }
396 }
397}Amazon Products and Bestsellers 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 Amazon Products and Bestsellers 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
Curious CoderMaintained by Community
Actor Metrics
34 monthly users
-
9 stars
>99% runs succeeded
Created in Jun 2023
Modified 4 months ago
Categories
