Bike Components Scraper
Try for free
1 day trial then $40.00/month - No credit card required now
Go to Store
Bike Components Scraper
nerdnd/bike-components-scraper
Try for free
1 day trial then $40.00/month - No credit card required now
www.bike-components.de scraper that collects almost all the items(name, prices, colors, sizes, details, etc.) on the product pages
You can access the Bike Components Scraper programmatically from your own applications by using the Apify API. You can choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1{
2 "openapi": "3.0.1",
3 "info": {
4 "version": "0.0",
5 "x-build-id": "aCjAXXh9qhCDylqgi"
6 },
7 "servers": [
8 {
9 "url": "https://api.apify.com/v2"
10 }
11 ],
12 "paths": {
13 "/acts/nerdnd~bike-components-scraper/run-sync-get-dataset-items": {
14 "post": {
15 "operationId": "run-sync-get-dataset-items-nerdnd-bike-components-scraper",
16 "x-openai-isConsequential": false,
17 "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
18 "tags": [
19 "Run Actor"
20 ],
21 "requestBody": {
22 "required": true,
23 "content": {
24 "application/json": {
25 "schema": {
26 "$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/nerdnd~bike-components-scraper/runs": {
50 "post": {
51 "operationId": "runs-sync-nerdnd-bike-components-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/nerdnd~bike-components-scraper/run-sync": {
93 "post": {
94 "operationId": "run-sync-nerdnd-bike-components-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 "uniqueItems": true,
140 "type": "array",
141 "description": "Detail page URLs to start with",
142 "items": {
143 "type": "string"
144 }
145 },
146 "proxyConfiguration": {
147 "title": "Proxy configuration",
148 "type": "object",
149 "description": "Specifies proxy servers that will be used by the scraper in order to hide its origin.",
150 "default": {
151 "useApifyProxy": true
152 }
153 }
154 }
155 },
156 "runsResponseSchema": {
157 "type": "object",
158 "properties": {
159 "data": {
160 "type": "object",
161 "properties": {
162 "id": {
163 "type": "string"
164 },
165 "actId": {
166 "type": "string"
167 },
168 "userId": {
169 "type": "string"
170 },
171 "startedAt": {
172 "type": "string",
173 "format": "date-time",
174 "example": "2025-01-08T00:00:00.000Z"
175 },
176 "finishedAt": {
177 "type": "string",
178 "format": "date-time",
179 "example": "2025-01-08T00:00:00.000Z"
180 },
181 "status": {
182 "type": "string",
183 "example": "READY"
184 },
185 "meta": {
186 "type": "object",
187 "properties": {
188 "origin": {
189 "type": "string",
190 "example": "API"
191 },
192 "userAgent": {
193 "type": "string"
194 }
195 }
196 },
197 "stats": {
198 "type": "object",
199 "properties": {
200 "inputBodyLen": {
201 "type": "integer",
202 "example": 2000
203 },
204 "rebootCount": {
205 "type": "integer",
206 "example": 0
207 },
208 "restartCount": {
209 "type": "integer",
210 "example": 0
211 },
212 "resurrectCount": {
213 "type": "integer",
214 "example": 0
215 },
216 "computeUnits": {
217 "type": "integer",
218 "example": 0
219 }
220 }
221 },
222 "options": {
223 "type": "object",
224 "properties": {
225 "build": {
226 "type": "string",
227 "example": "latest"
228 },
229 "timeoutSecs": {
230 "type": "integer",
231 "example": 300
232 },
233 "memoryMbytes": {
234 "type": "integer",
235 "example": 1024
236 },
237 "diskMbytes": {
238 "type": "integer",
239 "example": 2048
240 }
241 }
242 },
243 "buildId": {
244 "type": "string"
245 },
246 "defaultKeyValueStoreId": {
247 "type": "string"
248 },
249 "defaultDatasetId": {
250 "type": "string"
251 },
252 "defaultRequestQueueId": {
253 "type": "string"
254 },
255 "buildNumber": {
256 "type": "string",
257 "example": "1.0.0"
258 },
259 "containerUrl": {
260 "type": "string"
261 },
262 "usage": {
263 "type": "object",
264 "properties": {
265 "ACTOR_COMPUTE_UNITS": {
266 "type": "integer",
267 "example": 0
268 },
269 "DATASET_READS": {
270 "type": "integer",
271 "example": 0
272 },
273 "DATASET_WRITES": {
274 "type": "integer",
275 "example": 0
276 },
277 "KEY_VALUE_STORE_READS": {
278 "type": "integer",
279 "example": 0
280 },
281 "KEY_VALUE_STORE_WRITES": {
282 "type": "integer",
283 "example": 1
284 },
285 "KEY_VALUE_STORE_LISTS": {
286 "type": "integer",
287 "example": 0
288 },
289 "REQUEST_QUEUE_READS": {
290 "type": "integer",
291 "example": 0
292 },
293 "REQUEST_QUEUE_WRITES": {
294 "type": "integer",
295 "example": 0
296 },
297 "DATA_TRANSFER_INTERNAL_GBYTES": {
298 "type": "integer",
299 "example": 0
300 },
301 "DATA_TRANSFER_EXTERNAL_GBYTES": {
302 "type": "integer",
303 "example": 0
304 },
305 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
306 "type": "integer",
307 "example": 0
308 },
309 "PROXY_SERPS": {
310 "type": "integer",
311 "example": 0
312 }
313 }
314 },
315 "usageTotalUsd": {
316 "type": "number",
317 "example": 0.00005
318 },
319 "usageUsd": {
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": "number",
340 "example": 0.00005
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 }
373 }
374 }
375 }
376 }
377 }
378}Bike Components 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 Bike Components 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:
nerdnd
