
Upwork Job Explorer With Cookies
This Actor is unavailable because the developer has decided to deprecate it. Would you like to try a similar Actor instead?
See alternative Actors
Upwork Job Explorer With Cookies
Explore Upwork job listings easily with the Upwork Job Explorer With Cookies. Scrape jobs using cookies to access login-protected areas, filter by keywords, categories, and locations, and automate your search. Ideal for freelancers and agencies seeking real-time, tailored job listings.
You can access the Upwork Job Explorer With Cookies 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": "Tw9frkXVUKlcRcJBo"
6 },
7 "servers": [
8 {
9 "url": "https://api.apify.com/v2"
10 }
11 ],
12 "paths": {
13 "/acts/dainty_screw~upwork-job-explorer-with-cookies/run-sync-get-dataset-items": {
14 "post": {
15 "operationId": "run-sync-get-dataset-items-dainty_screw-upwork-job-explorer-with-cookies",
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 "$ref": "#/components/schemas/inputSchema"
27 }
28 }
29 }
30 },
31 "parameters": [
32 {
33 "name": "token",
34 "in": "query",
35 "required": true,
36 "schema": {
37 "type": "string"
38 },
39 "description": "Enter your Apify token here"
40 }
41 ],
42 "responses": {
43 "200": {
44 "description": "OK"
45 }
46 }
47 }
48 },
49 "/acts/dainty_screw~upwork-job-explorer-with-cookies/runs": {
50 "post": {
51 "operationId": "runs-sync-dainty_screw-upwork-job-explorer-with-cookies",
52 "x-openai-isConsequential": false,
53 "summary": "Executes an Actor and returns information about the initiated run in response.",
54 "tags": [
55 "Run Actor"
56 ],
57 "requestBody": {
58 "required": true,
59 "content": {
60 "application/json": {
61 "schema": {
62 "$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 "$ref": "#/components/schemas/runsResponseSchema"
85 }
86 }
87 }
88 }
89 }
90 }
91 },
92 "/acts/dainty_screw~upwork-job-explorer-with-cookies/run-sync": {
93 "post": {
94 "operationId": "run-sync-dainty_screw-upwork-job-explorer-with-cookies",
95 "x-openai-isConsequential": false,
96 "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
97 "tags": [
98 "Run Actor"
99 ],
100 "requestBody": {
101 "required": true,
102 "content": {
103 "application/json": {
104 "schema": {
105 "$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 "searchQueries",
135 "maxPages",
136 "maxResults"
137 ],
138 "properties": {
139 "searchQueries": {
140 "title": "Job keyword",
141 "type": "array",
142 "description": "The name of the job (e.g., Web developer).",
143 "items": {
144 "type": "string"
145 }
146 },
147 "maxPages": {
148 "title": "Maximum Number of Pages",
149 "minimum": 1,
150 "type": "integer",
151 "description": "Limits the number of pages to be scraped."
152 },
153 "maxResults": {
154 "title": "Maximum Number of Results",
155 "minimum": 1,
156 "type": "integer",
157 "description": "Limits the number of job posts to be scraped across all pages."
158 },
159 "proxyConfiguration": {
160 "title": "Script Automation",
161 "type": "object",
162 "description": "Select proxies to be used by your crawler."
163 },
164 "cookies": {
165 "title": "Cookies",
166 "type": "string",
167 "description": "JSON string representing cookies to be used in the scraper."
168 }
169 }
170 },
171 "runsResponseSchema": {
172 "type": "object",
173 "properties": {
174 "data": {
175 "type": "object",
176 "properties": {
177 "id": {
178 "type": "string"
179 },
180 "actId": {
181 "type": "string"
182 },
183 "userId": {
184 "type": "string"
185 },
186 "startedAt": {
187 "type": "string",
188 "format": "date-time",
189 "example": "2025-01-08T00:00:00.000Z"
190 },
191 "finishedAt": {
192 "type": "string",
193 "format": "date-time",
194 "example": "2025-01-08T00:00:00.000Z"
195 },
196 "status": {
197 "type": "string",
198 "example": "READY"
199 },
200 "meta": {
201 "type": "object",
202 "properties": {
203 "origin": {
204 "type": "string",
205 "example": "API"
206 },
207 "userAgent": {
208 "type": "string"
209 }
210 }
211 },
212 "stats": {
213 "type": "object",
214 "properties": {
215 "inputBodyLen": {
216 "type": "integer",
217 "example": 2000
218 },
219 "rebootCount": {
220 "type": "integer",
221 "example": 0
222 },
223 "restartCount": {
224 "type": "integer",
225 "example": 0
226 },
227 "resurrectCount": {
228 "type": "integer",
229 "example": 0
230 },
231 "computeUnits": {
232 "type": "integer",
233 "example": 0
234 }
235 }
236 },
237 "options": {
238 "type": "object",
239 "properties": {
240 "build": {
241 "type": "string",
242 "example": "latest"
243 },
244 "timeoutSecs": {
245 "type": "integer",
246 "example": 300
247 },
248 "memoryMbytes": {
249 "type": "integer",
250 "example": 1024
251 },
252 "diskMbytes": {
253 "type": "integer",
254 "example": 2048
255 }
256 }
257 },
258 "buildId": {
259 "type": "string"
260 },
261 "defaultKeyValueStoreId": {
262 "type": "string"
263 },
264 "defaultDatasetId": {
265 "type": "string"
266 },
267 "defaultRequestQueueId": {
268 "type": "string"
269 },
270 "buildNumber": {
271 "type": "string",
272 "example": "1.0.0"
273 },
274 "containerUrl": {
275 "type": "string"
276 },
277 "usage": {
278 "type": "object",
279 "properties": {
280 "ACTOR_COMPUTE_UNITS": {
281 "type": "integer",
282 "example": 0
283 },
284 "DATASET_READS": {
285 "type": "integer",
286 "example": 0
287 },
288 "DATASET_WRITES": {
289 "type": "integer",
290 "example": 0
291 },
292 "KEY_VALUE_STORE_READS": {
293 "type": "integer",
294 "example": 0
295 },
296 "KEY_VALUE_STORE_WRITES": {
297 "type": "integer",
298 "example": 1
299 },
300 "KEY_VALUE_STORE_LISTS": {
301 "type": "integer",
302 "example": 0
303 },
304 "REQUEST_QUEUE_READS": {
305 "type": "integer",
306 "example": 0
307 },
308 "REQUEST_QUEUE_WRITES": {
309 "type": "integer",
310 "example": 0
311 },
312 "DATA_TRANSFER_INTERNAL_GBYTES": {
313 "type": "integer",
314 "example": 0
315 },
316 "DATA_TRANSFER_EXTERNAL_GBYTES": {
317 "type": "integer",
318 "example": 0
319 },
320 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
321 "type": "integer",
322 "example": 0
323 },
324 "PROXY_SERPS": {
325 "type": "integer",
326 "example": 0
327 }
328 }
329 },
330 "usageTotalUsd": {
331 "type": "number",
332 "example": 0.00005
333 },
334 "usageUsd": {
335 "type": "object",
336 "properties": {
337 "ACTOR_COMPUTE_UNITS": {
338 "type": "integer",
339 "example": 0
340 },
341 "DATASET_READS": {
342 "type": "integer",
343 "example": 0
344 },
345 "DATASET_WRITES": {
346 "type": "integer",
347 "example": 0
348 },
349 "KEY_VALUE_STORE_READS": {
350 "type": "integer",
351 "example": 0
352 },
353 "KEY_VALUE_STORE_WRITES": {
354 "type": "number",
355 "example": 0.00005
356 },
357 "KEY_VALUE_STORE_LISTS": {
358 "type": "integer",
359 "example": 0
360 },
361 "REQUEST_QUEUE_READS": {
362 "type": "integer",
363 "example": 0
364 },
365 "REQUEST_QUEUE_WRITES": {
366 "type": "integer",
367 "example": 0
368 },
369 "DATA_TRANSFER_INTERNAL_GBYTES": {
370 "type": "integer",
371 "example": 0
372 },
373 "DATA_TRANSFER_EXTERNAL_GBYTES": {
374 "type": "integer",
375 "example": 0
376 },
377 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
378 "type": "integer",
379 "example": 0
380 },
381 "PROXY_SERPS": {
382 "type": "integer",
383 "example": 0
384 }
385 }
386 }
387 }
388 }
389 }
390 }
391 }
392 }
393}
Upwork Job Explorer With Cookies 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 Upwork Job Explorer With Cookies 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: