
Google Dataset Items Translator
No credit card required

Google Dataset Items Translator
No credit card required
Translate any dataset field(s) to any of the supported languages using the Google Translate website, it goes through all the items in the dataset and translates all of the selected fields
You can access the Google Dataset Items Translator 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": "oZ7NLoBFgbLiTZQWW"
6 },
7 "servers": [
8 {
9 "url": "https://api.apify.com/v2"
10 }
11 ],
12 "paths": {
13 "/acts/web.harvester~google-dataset-items-translator/run-sync-get-dataset-items": {
14 "post": {
15 "operationId": "run-sync-get-dataset-items-web.harvester-google-dataset-items-translator",
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 "$ref": "#/components/schemas/inputSchema"
27 }
28 }
29 }
30 },
31 "parameters": [
32 {
33 "name": "token",
34 "in": "query",
35 "required": true,
36 "schema": {
37 "type": "string"
38 },
39 "description": "Enter your Apify token here"
40 }
41 ],
42 "responses": {
43 "200": {
44 "description": "OK"
45 }
46 }
47 }
48 },
49 "/acts/web.harvester~google-dataset-items-translator/runs": {
50 "post": {
51 "operationId": "runs-sync-web.harvester-google-dataset-items-translator",
52 "x-openai-isConsequential": false,
53 "summary": "Executes an Actor and returns information about the initiated run in response.",
54 "tags": [
55 "Run Actor"
56 ],
57 "requestBody": {
58 "required": true,
59 "content": {
60 "application/json": {
61 "schema": {
62 "$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 "$ref": "#/components/schemas/runsResponseSchema"
85 }
86 }
87 }
88 }
89 }
90 }
91 },
92 "/acts/web.harvester~google-dataset-items-translator/run-sync": {
93 "post": {
94 "operationId": "run-sync-web.harvester-google-dataset-items-translator",
95 "x-openai-isConsequential": false,
96 "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
97 "tags": [
98 "Run Actor"
99 ],
100 "requestBody": {
101 "required": true,
102 "content": {
103 "application/json": {
104 "schema": {
105 "$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 "datasetId",
135 "pathsToFields",
136 "targetLanguage"
137 ],
138 "properties": {
139 "datasetId": {
140 "title": "Dataset ID",
141 "type": "string",
142 "description": "Dataset ID of the dataset to be translated"
143 },
144 "pathsToFields": {
145 "title": "Path to Fields to be translated",
146 "type": "array",
147 "description": "Path to the fields to be translated",
148 "items": {
149 "type": "string"
150 }
151 },
152 "sourceLanguage": {
153 "title": "Source Language",
154 "enum": [
155 "auto",
156 "af",
157 "sq",
158 "am",
159 "ar",
160 "hy",
161 "as",
162 "ay",
163 "az",
164 "bm",
165 "eu",
166 "be",
167 "bn",
168 "bho",
169 "bs",
170 "bg",
171 "ca",
172 "ceb",
173 "ny",
174 "zh-CN",
175 "zh-TW",
176 "co",
177 "hr",
178 "cs",
179 "da",
180 "dv",
181 "doi",
182 "nl",
183 "en",
184 "eo",
185 "et",
186 "ee",
187 "tl",
188 "fi",
189 "fr",
190 "fy",
191 "gl",
192 "ka",
193 "de",
194 "el",
195 "gn",
196 "gu",
197 "ht",
198 "ha",
199 "haw",
200 "iw",
201 "hi",
202 "hmn",
203 "hu",
204 "is",
205 "ig",
206 "ilo",
207 "id",
208 "ga",
209 "it",
210 "ja",
211 "jw",
212 "kn",
213 "kk",
214 "km",
215 "rw",
216 "gom",
217 "ko",
218 "kri",
219 "ku",
220 "ckb",
221 "ky",
222 "lo",
223 "la",
224 "lv",
225 "ln",
226 "lt",
227 "lg",
228 "lb",
229 "mk",
230 "mai",
231 "mg",
232 "ms",
233 "ml",
234 "mt",
235 "mi",
236 "mr",
237 "mni-Mtei",
238 "lus",
239 "mn",
240 "my",
241 "ne",
242 "no",
243 "or",
244 "om",
245 "ps",
246 "fa",
247 "pl",
248 "pt",
249 "pa",
250 "qu",
251 "ro",
252 "ru",
253 "sm",
254 "sa",
255 "gd",
256 "nso",
257 "sr",
258 "st",
259 "sn",
260 "sd",
261 "si",
262 "sk",
263 "sl",
264 "so",
265 "es",
266 "su",
267 "sw",
268 "sv",
269 "tg",
270 "ta",
271 "tt",
272 "te",
273 "th",
274 "ti",
275 "ts",
276 "tr",
277 "tk",
278 "ak",
279 "uk",
280 "ur",
281 "ug",
282 "uz",
283 "vi",
284 "cy",
285 "xh",
286 "yi",
287 "yo",
288 "zu"
289 ],
290 "type": "string",
291 "description": "Language of the text to be translated, default is Auto Detect",
292 "default": "auto"
293 },
294 "targetLanguage": {
295 "title": "Target Language",
296 "enum": [
297 "af",
298 "sq",
299 "am",
300 "ar",
301 "hy",
302 "as",
303 "ay",
304 "az",
305 "bm",
306 "eu",
307 "be",
308 "bn",
309 "bho",
310 "bs",
311 "bg",
312 "ca",
313 "ceb",
314 "ny",
315 "zh-CN",
316 "zh-TW",
317 "co",
318 "hr",
319 "cs",
320 "da",
321 "dv",
322 "doi",
323 "nl",
324 "en",
325 "eo",
326 "et",
327 "ee",
328 "tl",
329 "fi",
330 "fr",
331 "fy",
332 "gl",
333 "ka",
334 "de",
335 "el",
336 "gn",
337 "gu",
338 "ht",
339 "ha",
340 "haw",
341 "iw",
342 "hi",
343 "hmn",
344 "hu",
345 "is",
346 "ig",
347 "ilo",
348 "id",
349 "ga",
350 "it",
351 "ja",
352 "jw",
353 "kn",
354 "kk",
355 "km",
356 "rw",
357 "gom",
358 "ko",
359 "kri",
360 "ku",
361 "ckb",
362 "ky",
363 "lo",
364 "la",
365 "lv",
366 "ln",
367 "lt",
368 "lg",
369 "lb",
370 "mk",
371 "mai",
372 "mg",
373 "ms",
374 "ml",
375 "mt",
376 "mi",
377 "mr",
378 "mni-Mtei",
379 "lus",
380 "mn",
381 "my",
382 "ne",
383 "no",
384 "or",
385 "om",
386 "ps",
387 "fa",
388 "pl",
389 "pt",
390 "pa",
391 "qu",
392 "ro",
393 "ru",
394 "sm",
395 "sa",
396 "gd",
397 "nso",
398 "sr",
399 "st",
400 "sn",
401 "sd",
402 "si",
403 "sk",
404 "sl",
405 "so",
406 "es",
407 "su",
408 "sw",
409 "sv",
410 "tg",
411 "ta",
412 "tt",
413 "te",
414 "th",
415 "ti",
416 "ts",
417 "tr",
418 "tk",
419 "ak",
420 "uk",
421 "ur",
422 "ug",
423 "uz",
424 "vi",
425 "cy",
426 "xh",
427 "yi",
428 "yo",
429 "zu"
430 ],
431 "type": "string",
432 "description": "The language into which the text should be translated",
433 "default": "es"
434 },
435 "replaceFiledValues": {
436 "title": "Replace field values with the translated values (will ignore translation info)",
437 "type": "boolean",
438 "description": "If true, the field values will be replaced with the translated values. Will ignore translation info.",
439 "default": false
440 },
441 "includeItemsTranslationInfo": {
442 "title": "Include translation info for translated fields",
443 "type": "boolean",
444 "description": "If true, the translation info will be included in the translation output for each filed in each dataset item.",
445 "default": false
446 }
447 }
448 },
449 "runsResponseSchema": {
450 "type": "object",
451 "properties": {
452 "data": {
453 "type": "object",
454 "properties": {
455 "id": {
456 "type": "string"
457 },
458 "actId": {
459 "type": "string"
460 },
461 "userId": {
462 "type": "string"
463 },
464 "startedAt": {
465 "type": "string",
466 "format": "date-time",
467 "example": "2025-01-08T00:00:00.000Z"
468 },
469 "finishedAt": {
470 "type": "string",
471 "format": "date-time",
472 "example": "2025-01-08T00:00:00.000Z"
473 },
474 "status": {
475 "type": "string",
476 "example": "READY"
477 },
478 "meta": {
479 "type": "object",
480 "properties": {
481 "origin": {
482 "type": "string",
483 "example": "API"
484 },
485 "userAgent": {
486 "type": "string"
487 }
488 }
489 },
490 "stats": {
491 "type": "object",
492 "properties": {
493 "inputBodyLen": {
494 "type": "integer",
495 "example": 2000
496 },
497 "rebootCount": {
498 "type": "integer",
499 "example": 0
500 },
501 "restartCount": {
502 "type": "integer",
503 "example": 0
504 },
505 "resurrectCount": {
506 "type": "integer",
507 "example": 0
508 },
509 "computeUnits": {
510 "type": "integer",
511 "example": 0
512 }
513 }
514 },
515 "options": {
516 "type": "object",
517 "properties": {
518 "build": {
519 "type": "string",
520 "example": "latest"
521 },
522 "timeoutSecs": {
523 "type": "integer",
524 "example": 300
525 },
526 "memoryMbytes": {
527 "type": "integer",
528 "example": 1024
529 },
530 "diskMbytes": {
531 "type": "integer",
532 "example": 2048
533 }
534 }
535 },
536 "buildId": {
537 "type": "string"
538 },
539 "defaultKeyValueStoreId": {
540 "type": "string"
541 },
542 "defaultDatasetId": {
543 "type": "string"
544 },
545 "defaultRequestQueueId": {
546 "type": "string"
547 },
548 "buildNumber": {
549 "type": "string",
550 "example": "1.0.0"
551 },
552 "containerUrl": {
553 "type": "string"
554 },
555 "usage": {
556 "type": "object",
557 "properties": {
558 "ACTOR_COMPUTE_UNITS": {
559 "type": "integer",
560 "example": 0
561 },
562 "DATASET_READS": {
563 "type": "integer",
564 "example": 0
565 },
566 "DATASET_WRITES": {
567 "type": "integer",
568 "example": 0
569 },
570 "KEY_VALUE_STORE_READS": {
571 "type": "integer",
572 "example": 0
573 },
574 "KEY_VALUE_STORE_WRITES": {
575 "type": "integer",
576 "example": 1
577 },
578 "KEY_VALUE_STORE_LISTS": {
579 "type": "integer",
580 "example": 0
581 },
582 "REQUEST_QUEUE_READS": {
583 "type": "integer",
584 "example": 0
585 },
586 "REQUEST_QUEUE_WRITES": {
587 "type": "integer",
588 "example": 0
589 },
590 "DATA_TRANSFER_INTERNAL_GBYTES": {
591 "type": "integer",
592 "example": 0
593 },
594 "DATA_TRANSFER_EXTERNAL_GBYTES": {
595 "type": "integer",
596 "example": 0
597 },
598 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
599 "type": "integer",
600 "example": 0
601 },
602 "PROXY_SERPS": {
603 "type": "integer",
604 "example": 0
605 }
606 }
607 },
608 "usageTotalUsd": {
609 "type": "number",
610 "example": 0.00005
611 },
612 "usageUsd": {
613 "type": "object",
614 "properties": {
615 "ACTOR_COMPUTE_UNITS": {
616 "type": "integer",
617 "example": 0
618 },
619 "DATASET_READS": {
620 "type": "integer",
621 "example": 0
622 },
623 "DATASET_WRITES": {
624 "type": "integer",
625 "example": 0
626 },
627 "KEY_VALUE_STORE_READS": {
628 "type": "integer",
629 "example": 0
630 },
631 "KEY_VALUE_STORE_WRITES": {
632 "type": "number",
633 "example": 0.00005
634 },
635 "KEY_VALUE_STORE_LISTS": {
636 "type": "integer",
637 "example": 0
638 },
639 "REQUEST_QUEUE_READS": {
640 "type": "integer",
641 "example": 0
642 },
643 "REQUEST_QUEUE_WRITES": {
644 "type": "integer",
645 "example": 0
646 },
647 "DATA_TRANSFER_INTERNAL_GBYTES": {
648 "type": "integer",
649 "example": 0
650 },
651 "DATA_TRANSFER_EXTERNAL_GBYTES": {
652 "type": "integer",
653 "example": 0
654 },
655 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
656 "type": "integer",
657 "example": 0
658 },
659 "PROXY_SERPS": {
660 "type": "integer",
661 "example": 0
662 }
663 }
664 }
665 }
666 }
667 }
668 }
669 }
670 }
671}
Google Dataset Items Translator 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 Google Dataset Items Translator 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:
Actor Metrics
1 monthly user
-
2 bookmarks
>99% runs succeeded
Created in Mar 2023
Modified 6 months ago