H&M Scraper
Deprecated
Pricing
Pay per usage
Go to Store
H&M Scraper
Deprecated
emastra/hm-scraper
H&M Scraper is an Apify actor for extracting product data from hm.com fashion on line store. It allows you to scrape the whole site, specific categories and products. It is build on top of Apify SDK and you can run it both on Apify platform and locally.
0.0 (0)
Pricing
Pay per usage
4
Monthly users
1
Last modified
3 years ago
You can access the H&M 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": "UEH6AaDksqWUdKHYJ"
6 },
7 "servers": [
8 {
9 "url": "https://api.apify.com/v2"
10 }
11 ],
12 "paths": {
13 "/acts/emastra~hm-scraper/run-sync-get-dataset-items": {
14 "post": {
15 "operationId": "run-sync-get-dataset-items-emastra-hm-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 "$ref": "#/components/schemas/inputSchema"
27 }
28 }
29 }
30 },
31 "parameters": [
32 {
33 "name": "token",
34 "in": "query",
35 "required": true,
36 "schema": {
37 "type": "string"
38 },
39 "description": "Enter your Apify token here"
40 }
41 ],
42 "responses": {
43 "200": {
44 "description": "OK"
45 }
46 }
47 }
48 },
49 "/acts/emastra~hm-scraper/runs": {
50 "post": {
51 "operationId": "runs-sync-emastra-hm-scraper",
52 "x-openai-isConsequential": false,
53 "summary": "Executes an Actor and returns information about the initiated run in response.",
54 "tags": [
55 "Run Actor"
56 ],
57 "requestBody": {
58 "required": true,
59 "content": {
60 "application/json": {
61 "schema": {
62 "$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 "$ref": "#/components/schemas/runsResponseSchema"
85 }
86 }
87 }
88 }
89 }
90 }
91 },
92 "/acts/emastra~hm-scraper/run-sync": {
93 "post": {
94 "operationId": "run-sync-emastra-hm-scraper",
95 "x-openai-isConsequential": false,
96 "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
97 "tags": [
98 "Run Actor"
99 ],
100 "requestBody": {
101 "required": true,
102 "content": {
103 "application/json": {
104 "schema": {
105 "$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": "List of URLs that will be scraped or crawled. It can be the main website URL, category and sub-category URLs or product URLs.",
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 "maxItems": {
156 "title": "Max items",
157 "minimum": 0,
158 "type": "integer",
159 "description": "Limit of product items to be scraped. Zero value means no limit."
160 },
161 "extendOutputFunction": {
162 "title": "Extend output function",
163 "type": "string",
164 "description": "A function which result will get merged with the default result. It must return an object."
165 },
166 "proxyConfiguration": {
167 "title": "Proxy configuration",
168 "type": "object",
169 "description": "Select proxies to be used by your crawler."
170 }
171 }
172 },
173 "runsResponseSchema": {
174 "type": "object",
175 "properties": {
176 "data": {
177 "type": "object",
178 "properties": {
179 "id": {
180 "type": "string"
181 },
182 "actId": {
183 "type": "string"
184 },
185 "userId": {
186 "type": "string"
187 },
188 "startedAt": {
189 "type": "string",
190 "format": "date-time",
191 "example": "2025-01-08T00:00:00.000Z"
192 },
193 "finishedAt": {
194 "type": "string",
195 "format": "date-time",
196 "example": "2025-01-08T00:00:00.000Z"
197 },
198 "status": {
199 "type": "string",
200 "example": "READY"
201 },
202 "meta": {
203 "type": "object",
204 "properties": {
205 "origin": {
206 "type": "string",
207 "example": "API"
208 },
209 "userAgent": {
210 "type": "string"
211 }
212 }
213 },
214 "stats": {
215 "type": "object",
216 "properties": {
217 "inputBodyLen": {
218 "type": "integer",
219 "example": 2000
220 },
221 "rebootCount": {
222 "type": "integer",
223 "example": 0
224 },
225 "restartCount": {
226 "type": "integer",
227 "example": 0
228 },
229 "resurrectCount": {
230 "type": "integer",
231 "example": 0
232 },
233 "computeUnits": {
234 "type": "integer",
235 "example": 0
236 }
237 }
238 },
239 "options": {
240 "type": "object",
241 "properties": {
242 "build": {
243 "type": "string",
244 "example": "latest"
245 },
246 "timeoutSecs": {
247 "type": "integer",
248 "example": 300
249 },
250 "memoryMbytes": {
251 "type": "integer",
252 "example": 1024
253 },
254 "diskMbytes": {
255 "type": "integer",
256 "example": 2048
257 }
258 }
259 },
260 "buildId": {
261 "type": "string"
262 },
263 "defaultKeyValueStoreId": {
264 "type": "string"
265 },
266 "defaultDatasetId": {
267 "type": "string"
268 },
269 "defaultRequestQueueId": {
270 "type": "string"
271 },
272 "buildNumber": {
273 "type": "string",
274 "example": "1.0.0"
275 },
276 "containerUrl": {
277 "type": "string"
278 },
279 "usage": {
280 "type": "object",
281 "properties": {
282 "ACTOR_COMPUTE_UNITS": {
283 "type": "integer",
284 "example": 0
285 },
286 "DATASET_READS": {
287 "type": "integer",
288 "example": 0
289 },
290 "DATASET_WRITES": {
291 "type": "integer",
292 "example": 0
293 },
294 "KEY_VALUE_STORE_READS": {
295 "type": "integer",
296 "example": 0
297 },
298 "KEY_VALUE_STORE_WRITES": {
299 "type": "integer",
300 "example": 1
301 },
302 "KEY_VALUE_STORE_LISTS": {
303 "type": "integer",
304 "example": 0
305 },
306 "REQUEST_QUEUE_READS": {
307 "type": "integer",
308 "example": 0
309 },
310 "REQUEST_QUEUE_WRITES": {
311 "type": "integer",
312 "example": 0
313 },
314 "DATA_TRANSFER_INTERNAL_GBYTES": {
315 "type": "integer",
316 "example": 0
317 },
318 "DATA_TRANSFER_EXTERNAL_GBYTES": {
319 "type": "integer",
320 "example": 0
321 },
322 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
323 "type": "integer",
324 "example": 0
325 },
326 "PROXY_SERPS": {
327 "type": "integer",
328 "example": 0
329 }
330 }
331 },
332 "usageTotalUsd": {
333 "type": "number",
334 "example": 0.00005
335 },
336 "usageUsd": {
337 "type": "object",
338 "properties": {
339 "ACTOR_COMPUTE_UNITS": {
340 "type": "integer",
341 "example": 0
342 },
343 "DATASET_READS": {
344 "type": "integer",
345 "example": 0
346 },
347 "DATASET_WRITES": {
348 "type": "integer",
349 "example": 0
350 },
351 "KEY_VALUE_STORE_READS": {
352 "type": "integer",
353 "example": 0
354 },
355 "KEY_VALUE_STORE_WRITES": {
356 "type": "number",
357 "example": 0.00005
358 },
359 "KEY_VALUE_STORE_LISTS": {
360 "type": "integer",
361 "example": 0
362 },
363 "REQUEST_QUEUE_READS": {
364 "type": "integer",
365 "example": 0
366 },
367 "REQUEST_QUEUE_WRITES": {
368 "type": "integer",
369 "example": 0
370 },
371 "DATA_TRANSFER_INTERNAL_GBYTES": {
372 "type": "integer",
373 "example": 0
374 },
375 "DATA_TRANSFER_EXTERNAL_GBYTES": {
376 "type": "integer",
377 "example": 0
378 },
379 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
380 "type": "integer",
381 "example": 0
382 },
383 "PROXY_SERPS": {
384 "type": "integer",
385 "example": 0
386 }
387 }
388 }
389 }
390 }
391 }
392 }
393 }
394 }
395}H&M 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 H&M 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 usageThis Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage.
