Twitter 🐦 Jobs Scraper
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You can access the Twitter 🐦 Jobs 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": "0.1",
5 "x-build-id": "M7IgiF1C5EXc6aP3k"
6 },
7 "servers": [
8 {
9 "url": "https://api.apify.com/v2"
10 }
11 ],
12 "paths": {
13 "/acts/jupri~twitter-jobs/run-sync-get-dataset-items": {
14 "post": {
15 "operationId": "run-sync-get-dataset-items-jupri-twitter-jobs",
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": {
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31 "parameters": [
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35 "required": true,
36 "schema": {
37 "type": "string"
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39 "description": "Enter your Apify token here"
40 }
41 ],
42 "responses": {
43 "200": {
44 "description": "OK"
45 }
46 }
47 }
48 },
49 "/acts/jupri~twitter-jobs/runs": {
50 "post": {
51 "operationId": "runs-sync-jupri-twitter-jobs",
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": {
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67 "parameters": [
68 {
69 "name": "token",
70 "in": "query",
71 "required": true,
72 "schema": {
73 "type": "string"
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75 "description": "Enter your Apify token here"
76 }
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78 "responses": {
79 "200": {
80 "description": "OK",
81 "content": {
82 "application/json": {
83 "schema": {
84 "$ref": "#/components/schemas/runsResponseSchema"
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88 }
89 }
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91 },
92 "/acts/jupri~twitter-jobs/run-sync": {
93 "post": {
94 "operationId": "run-sync-jupri-twitter-jobs",
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": {
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102 "content": {
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123 "description": "OK"
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125 }
126 }
127 }
128 },
129 "components": {
130 "schemas": {
131 "inputSchema": {
132 "type": "object",
133 "properties": {
134 "query": {
135 "title": "❓ Query",
136 "type": "string",
137 "description": "Search Terms"
138 },
139 "token": {
140 "title": "🔑 Token",
141 "type": "string",
142 "description": "<b>Share Your Cookies</b><br><i>[REQUIRED: Since 1-July-2023]</i><br><br>Some function required your login cookie. Please use this only if necessary.<br><br><i>💡 <b>Notes:</b> this is not your APIFY token, but a value inside your browser cookie storage</i><br><br>Login to twitter account, search for cookie named <b>auth_token</b> then copy & paste here."
143 },
144 "limit": {
145 "title": "♾️ Limit",
146 "type": "integer",
147 "description": "Number of results"
148 },
149 "filters.jobs.location": {
150 "title": "Location",
151 "type": "string",
152 "description": ""
153 },
154 "filters.jobs.location_type": {
155 "title": "Location Type",
156 "type": "array",
157 "description": "",
158 "items": {
159 "type": "string",
160 "enum": [
161 "onsite",
162 "remote",
163 "hybrid"
164 ],
165 "enumTitles": [
166 "Onsite",
167 "Remote",
168 "Hybrid"
169 ]
170 }
171 },
172 "filters.jobs.seniority": {
173 "title": "Seniority",
174 "type": "array",
175 "description": "",
176 "items": {
177 "type": "string",
178 "enum": [
179 "entry_level",
180 "junior",
181 "mid_level",
182 "senior",
183 "lead",
184 "manager",
185 "executive"
186 ],
187 "enumTitles": [
188 "Entry Level",
189 "Junior",
190 "Mid-Level",
191 "Senior",
192 "Lead",
193 "Manager",
194 "Executive"
195 ]
196 }
197 },
198 "filters.jobs.employment": {
199 "title": "Employment Type",
200 "type": "array",
201 "description": "",
202 "items": {
203 "type": "string",
204 "enum": [
205 "full_time",
206 "full_time_contract",
207 "part_time",
208 "contract_to_hire"
209 ],
210 "enumTitles": [
211 "Full-Time",
212 "Full-Time Contract",
213 "Part-Time",
214 "Contract-to-Hire"
215 ]
216 }
217 },
218 "filters.jobs.company": {
219 "title": "Company Name",
220 "type": "string",
221 "description": ""
222 },
223 "dev_proxy_config": {
224 "title": "🌐 PROXY NETWORKING",
225 "type": "object",
226 "description": "<b>Supported protocol:</b><br><br><b>HTTP(S), SOCKS5</b><br><code>{http|socks5}://{user:pass}@{hostname|ip-address}:port</code><br><br><b><a href=https://scrapeops.io/app/register/main target=_blank>ScrapeOps.IO</a></b><br><code>scrapeops://{api-key}</code><br><br><b>Example</b>: <code>socks5://example.com:9000</code>"
227 },
228 "dev_custom_headers": {
229 "title": "📜 HTTP HEADERS",
230 "type": "array",
231 "description": "💡 Additional HTTP Headers",
232 "items": {
233 "type": "object",
234 "required": [
235 "key",
236 "value"
237 ],
238 "properties": {
239 "key": {
240 "type": "string",
241 "title": "Key"
242 },
243 "value": {
244 "type": "string",
245 "title": "Value"
246 }
247 }
248 }
249 },
250 "dev_custom_cookies": {
251 "title": "🍰 HTTP COOKIES",
252 "type": "array",
253 "description": "💡 Additional HTTP Cookies",
254 "items": {
255 "type": "object",
256 "required": [
257 "key",
258 "value"
259 ],
260 "properties": {
261 "key": {
262 "type": "string",
263 "title": "Key"
264 },
265 "value": {
266 "type": "string",
267 "title": "Value"
268 }
269 }
270 }
271 },
272 "dev_no_strip": {
273 "title": "Disable data cleansing",
274 "type": "boolean",
275 "description": "💡 Keep/Save empty values <i><code>(NULL, FALSE, empty ARRAY, empty OBJECT, empty STRING)</code></i>"
276 },
277 "dev_transform_enable": {
278 "title": "Enable Custom Fields",
279 "type": "boolean",
280 "description": ""
281 },
282 "dev_transform_fields": {
283 "title": "Fields List",
284 "type": "array",
285 "description": "",
286 "items": {
287 "type": "object",
288 "required": [
289 "key",
290 "value"
291 ],
292 "properties": {
293 "key": {
294 "type": "string",
295 "title": "Key"
296 },
297 "value": {
298 "type": "string",
299 "title": "Value"
300 }
301 }
302 }
303 },
304 "dev_dataset_enable": {
305 "title": "Enable Custom Storage",
306 "type": "boolean",
307 "description": ""
308 },
309 "dev_dataset_clear": {
310 "title": "Clear Storage",
311 "type": "boolean",
312 "description": "Clear Dataset before insert/update."
313 },
314 "dev_dataset_name": {
315 "title": "Dataset Name",
316 "type": "string",
317 "description": "💡 <b>Use mask to customize dataset name</b><br><br><code>{ACTOR} = actor name<br>{DATE} = date (YYYYMMDD)<br>{TIME} = time (HHMMSS)</code><br><br>This masks can be used to autogenerate Dataset Name.<br><br>example: <i><code>data-{DATE}</code></i><br>Depending on today date the dataset name will be: <code>data-20230603</code><i><br><br>default: <code>data-{ACTOR}-{DATE}-{TIME}</code></i>"
318 }
319 }
320 },
321 "runsResponseSchema": {
322 "type": "object",
323 "properties": {
324 "data": {
325 "type": "object",
326 "properties": {
327 "id": {
328 "type": "string"
329 },
330 "actId": {
331 "type": "string"
332 },
333 "userId": {
334 "type": "string"
335 },
336 "startedAt": {
337 "type": "string",
338 "format": "date-time",
339 "example": "2025-01-08T00:00:00.000Z"
340 },
341 "finishedAt": {
342 "type": "string",
343 "format": "date-time",
344 "example": "2025-01-08T00:00:00.000Z"
345 },
346 "status": {
347 "type": "string",
348 "example": "READY"
349 },
350 "meta": {
351 "type": "object",
352 "properties": {
353 "origin": {
354 "type": "string",
355 "example": "API"
356 },
357 "userAgent": {
358 "type": "string"
359 }
360 }
361 },
362 "stats": {
363 "type": "object",
364 "properties": {
365 "inputBodyLen": {
366 "type": "integer",
367 "example": 2000
368 },
369 "rebootCount": {
370 "type": "integer",
371 "example": 0
372 },
373 "restartCount": {
374 "type": "integer",
375 "example": 0
376 },
377 "resurrectCount": {
378 "type": "integer",
379 "example": 0
380 },
381 "computeUnits": {
382 "type": "integer",
383 "example": 0
384 }
385 }
386 },
387 "options": {
388 "type": "object",
389 "properties": {
390 "build": {
391 "type": "string",
392 "example": "latest"
393 },
394 "timeoutSecs": {
395 "type": "integer",
396 "example": 300
397 },
398 "memoryMbytes": {
399 "type": "integer",
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408 "buildId": {
409 "type": "string"
410 },
411 "defaultKeyValueStoreId": {
412 "type": "string"
413 },
414 "defaultDatasetId": {
415 "type": "string"
416 },
417 "defaultRequestQueueId": {
418 "type": "string"
419 },
420 "buildNumber": {
421 "type": "string",
422 "example": "1.0.0"
423 },
424 "containerUrl": {
425 "type": "string"
426 },
427 "usage": {
428 "type": "object",
429 "properties": {
430 "ACTOR_COMPUTE_UNITS": {
431 "type": "integer",
432 "example": 0
433 },
434 "DATASET_READS": {
435 "type": "integer",
436 "example": 0
437 },
438 "DATASET_WRITES": {
439 "type": "integer",
440 "example": 0
441 },
442 "KEY_VALUE_STORE_READS": {
443 "type": "integer",
444 "example": 0
445 },
446 "KEY_VALUE_STORE_WRITES": {
447 "type": "integer",
448 "example": 1
449 },
450 "KEY_VALUE_STORE_LISTS": {
451 "type": "integer",
452 "example": 0
453 },
454 "REQUEST_QUEUE_READS": {
455 "type": "integer",
456 "example": 0
457 },
458 "REQUEST_QUEUE_WRITES": {
459 "type": "integer",
460 "example": 0
461 },
462 "DATA_TRANSFER_INTERNAL_GBYTES": {
463 "type": "integer",
464 "example": 0
465 },
466 "DATA_TRANSFER_EXTERNAL_GBYTES": {
467 "type": "integer",
468 "example": 0
469 },
470 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
471 "type": "integer",
472 "example": 0
473 },
474 "PROXY_SERPS": {
475 "type": "integer",
476 "example": 0
477 }
478 }
479 },
480 "usageTotalUsd": {
481 "type": "number",
482 "example": 0.00005
483 },
484 "usageUsd": {
485 "type": "object",
486 "properties": {
487 "ACTOR_COMPUTE_UNITS": {
488 "type": "integer",
489 "example": 0
490 },
491 "DATASET_READS": {
492 "type": "integer",
493 "example": 0
494 },
495 "DATASET_WRITES": {
496 "type": "integer",
497 "example": 0
498 },
499 "KEY_VALUE_STORE_READS": {
500 "type": "integer",
501 "example": 0
502 },
503 "KEY_VALUE_STORE_WRITES": {
504 "type": "number",
505 "example": 0.00005
506 },
507 "KEY_VALUE_STORE_LISTS": {
508 "type": "integer",
509 "example": 0
510 },
511 "REQUEST_QUEUE_READS": {
512 "type": "integer",
513 "example": 0
514 },
515 "REQUEST_QUEUE_WRITES": {
516 "type": "integer",
517 "example": 0
518 },
519 "DATA_TRANSFER_INTERNAL_GBYTES": {
520 "type": "integer",
521 "example": 0
522 },
523 "DATA_TRANSFER_EXTERNAL_GBYTES": {
524 "type": "integer",
525 "example": 0
526 },
527 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
528 "type": "integer",
529 "example": 0
530 },
531 "PROXY_SERPS": {
532 "type": "integer",
533 "example": 0
534 }
535 }
536 }
537 }
538 }
539 }
540 }
541 }
542 }
543}Twitter 🐦 Jobs 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 Twitter 🐦 Jobs 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
catMaintained by Community
Actor Metrics
1 monthly user
-
3 stars
97% runs succeeded
Created in May 2024
Modified 9 months ago
Categories
