
Automated JSON unnester
30 minutes trial then $2.00/month - No credit card required now

Automated JSON unnester
30 minutes trial then $2.00/month - No credit card required now
Unnest and download any JSON effortlessly with this powerful Apify actor. Handle complex nested structures, expand lists into rows, and customize your output with ease.
You can access the Automated JSON unnester programmatically from your own applications by using the Apify API. You can choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1{
2 "openapi": "3.0.1",
3 "info": {
4 "version": "0.0",
5 "x-build-id": "7EGP3vlGLZvHQWkCQ"
6 },
7 "servers": [
8 {
9 "url": "https://api.apify.com/v2"
10 }
11 ],
12 "paths": {
13 "/acts/eloquent_mountain~automated-json-unnester/run-sync-get-dataset-items": {
14 "post": {
15 "operationId": "run-sync-get-dataset-items-eloquent_mountain-automated-json-unnester",
16 "x-openai-isConsequential": false,
17 "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
18 "tags": [
19 "Run Actor"
20 ],
21 "requestBody": {
22 "required": true,
23 "content": {
24 "application/json": {
25 "schema": {
26 "$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/eloquent_mountain~automated-json-unnester/runs": {
50 "post": {
51 "operationId": "runs-sync-eloquent_mountain-automated-json-unnester",
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/eloquent_mountain~automated-json-unnester/run-sync": {
93 "post": {
94 "operationId": "run-sync-eloquent_mountain-automated-json-unnester",
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 "properties": {
134 "jsonUrl": {
135 "title": "JSON File URL",
136 "type": "string",
137 "description": "URL of the JSON file to convert."
138 },
139 "jsonText": {
140 "title": "Paste JSON Text",
141 "type": "string",
142 "description": "Paste your JSON content directly."
143 },
144 "separator": {
145 "title": "Key Separator",
146 "type": "string",
147 "description": "Separator used in the flattened keys.",
148 "default": "."
149 },
150 "delimiter": {
151 "title": "CSV Delimiter",
152 "type": "string",
153 "description": "Delimiter used in the CSV file.",
154 "default": ","
155 },
156 "expandLists": {
157 "title": "Expand Lists into Rows",
158 "type": "boolean",
159 "description": "If true, lists will be expanded into multiple rows.",
160 "default": true
161 }
162 }
163 },
164 "runsResponseSchema": {
165 "type": "object",
166 "properties": {
167 "data": {
168 "type": "object",
169 "properties": {
170 "id": {
171 "type": "string"
172 },
173 "actId": {
174 "type": "string"
175 },
176 "userId": {
177 "type": "string"
178 },
179 "startedAt": {
180 "type": "string",
181 "format": "date-time",
182 "example": "2025-01-08T00:00:00.000Z"
183 },
184 "finishedAt": {
185 "type": "string",
186 "format": "date-time",
187 "example": "2025-01-08T00:00:00.000Z"
188 },
189 "status": {
190 "type": "string",
191 "example": "READY"
192 },
193 "meta": {
194 "type": "object",
195 "properties": {
196 "origin": {
197 "type": "string",
198 "example": "API"
199 },
200 "userAgent": {
201 "type": "string"
202 }
203 }
204 },
205 "stats": {
206 "type": "object",
207 "properties": {
208 "inputBodyLen": {
209 "type": "integer",
210 "example": 2000
211 },
212 "rebootCount": {
213 "type": "integer",
214 "example": 0
215 },
216 "restartCount": {
217 "type": "integer",
218 "example": 0
219 },
220 "resurrectCount": {
221 "type": "integer",
222 "example": 0
223 },
224 "computeUnits": {
225 "type": "integer",
226 "example": 0
227 }
228 }
229 },
230 "options": {
231 "type": "object",
232 "properties": {
233 "build": {
234 "type": "string",
235 "example": "latest"
236 },
237 "timeoutSecs": {
238 "type": "integer",
239 "example": 300
240 },
241 "memoryMbytes": {
242 "type": "integer",
243 "example": 1024
244 },
245 "diskMbytes": {
246 "type": "integer",
247 "example": 2048
248 }
249 }
250 },
251 "buildId": {
252 "type": "string"
253 },
254 "defaultKeyValueStoreId": {
255 "type": "string"
256 },
257 "defaultDatasetId": {
258 "type": "string"
259 },
260 "defaultRequestQueueId": {
261 "type": "string"
262 },
263 "buildNumber": {
264 "type": "string",
265 "example": "1.0.0"
266 },
267 "containerUrl": {
268 "type": "string"
269 },
270 "usage": {
271 "type": "object",
272 "properties": {
273 "ACTOR_COMPUTE_UNITS": {
274 "type": "integer",
275 "example": 0
276 },
277 "DATASET_READS": {
278 "type": "integer",
279 "example": 0
280 },
281 "DATASET_WRITES": {
282 "type": "integer",
283 "example": 0
284 },
285 "KEY_VALUE_STORE_READS": {
286 "type": "integer",
287 "example": 0
288 },
289 "KEY_VALUE_STORE_WRITES": {
290 "type": "integer",
291 "example": 1
292 },
293 "KEY_VALUE_STORE_LISTS": {
294 "type": "integer",
295 "example": 0
296 },
297 "REQUEST_QUEUE_READS": {
298 "type": "integer",
299 "example": 0
300 },
301 "REQUEST_QUEUE_WRITES": {
302 "type": "integer",
303 "example": 0
304 },
305 "DATA_TRANSFER_INTERNAL_GBYTES": {
306 "type": "integer",
307 "example": 0
308 },
309 "DATA_TRANSFER_EXTERNAL_GBYTES": {
310 "type": "integer",
311 "example": 0
312 },
313 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
314 "type": "integer",
315 "example": 0
316 },
317 "PROXY_SERPS": {
318 "type": "integer",
319 "example": 0
320 }
321 }
322 },
323 "usageTotalUsd": {
324 "type": "number",
325 "example": 0.00005
326 },
327 "usageUsd": {
328 "type": "object",
329 "properties": {
330 "ACTOR_COMPUTE_UNITS": {
331 "type": "integer",
332 "example": 0
333 },
334 "DATASET_READS": {
335 "type": "integer",
336 "example": 0
337 },
338 "DATASET_WRITES": {
339 "type": "integer",
340 "example": 0
341 },
342 "KEY_VALUE_STORE_READS": {
343 "type": "integer",
344 "example": 0
345 },
346 "KEY_VALUE_STORE_WRITES": {
347 "type": "number",
348 "example": 0.00005
349 },
350 "KEY_VALUE_STORE_LISTS": {
351 "type": "integer",
352 "example": 0
353 },
354 "REQUEST_QUEUE_READS": {
355 "type": "integer",
356 "example": 0
357 },
358 "REQUEST_QUEUE_WRITES": {
359 "type": "integer",
360 "example": 0
361 },
362 "DATA_TRANSFER_INTERNAL_GBYTES": {
363 "type": "integer",
364 "example": 0
365 },
366 "DATA_TRANSFER_EXTERNAL_GBYTES": {
367 "type": "integer",
368 "example": 0
369 },
370 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
371 "type": "integer",
372 "example": 0
373 },
374 "PROXY_SERPS": {
375 "type": "integer",
376 "example": 0
377 }
378 }
379 }
380 }
381 }
382 }
383 }
384 }
385 }
386}
Automated JSON unnester 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 Automated JSON unnester 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
-
1 bookmark
93% runs succeeded
Created in Nov 2024
Modified 3 months ago