GoodDataListEditor
Pricing
Pay per usage
Go to Store
GoodDataListEditor
Simple automation tool to add more contacts to the list
0.0 (0)
Pricing
Pay per usage
0
Monthly users
0
Last modified
6 months ago
You can access the GoodDataListEditor programmatically from your own applications by using the Apify API. You can also 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": "JWtsuqXcFn6hbztLd"
6 },
7 "servers": [
8 {
9 "url": "https://api.apify.com/v2"
10 }
11 ],
12 "paths": {
13 "/acts/ivanvia~gooddatalisteditor/run-sync-get-dataset-items": {
14 "post": {
15 "operationId": "run-sync-get-dataset-items-ivanvia-gooddatalisteditor",
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 "$ref": "#/components/schemas/inputSchema"
27 }
28 }
29 }
30 },
31 "parameters": [
32 {
33 "name": "token",
34 "in": "query",
35 "required": true,
36 "schema": {
37 "type": "string"
38 },
39 "description": "Enter your Apify token here"
40 }
41 ],
42 "responses": {
43 "200": {
44 "description": "OK"
45 }
46 }
47 }
48 },
49 "/acts/ivanvia~gooddatalisteditor/runs": {
50 "post": {
51 "operationId": "runs-sync-ivanvia-gooddatalisteditor",
52 "x-openai-isConsequential": false,
53 "summary": "Executes an Actor and returns information about the initiated run in response.",
54 "tags": [
55 "Run Actor"
56 ],
57 "requestBody": {
58 "required": true,
59 "content": {
60 "application/json": {
61 "schema": {
62 "$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 "$ref": "#/components/schemas/runsResponseSchema"
85 }
86 }
87 }
88 }
89 }
90 }
91 },
92 "/acts/ivanvia~gooddatalisteditor/run-sync": {
93 "post": {
94 "operationId": "run-sync-ivanvia-gooddatalisteditor",
95 "x-openai-isConsequential": false,
96 "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
97 "tags": [
98 "Run Actor"
99 ],
100 "requestBody": {
101 "required": true,
102 "content": {
103 "application/json": {
104 "schema": {
105 "$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 "startUrl",
135 "userIDs",
136 "GD_USER",
137 "GD_PWD"
138 ],
139 "properties": {
140 "startUrl": {
141 "title": "Your URL to the target sheet where you want to add users",
142 "type": "string",
143 "description": "URL to start with"
144 },
145 "userIDs": {
146 "title": "User IDs",
147 "type": "array",
148 "description": "List of user IDs to be processed.",
149 "items": {
150 "type": "string"
151 }
152 },
153 "GD_USER": {
154 "title": "GoodData email",
155 "type": "string",
156 "description": "Your GoodData account username for login."
157 },
158 "GD_PWD": {
159 "title": "GoodData Password",
160 "type": "string",
161 "description": "Your GoodData account password for login."
162 }
163 }
164 },
165 "runsResponseSchema": {
166 "type": "object",
167 "properties": {
168 "data": {
169 "type": "object",
170 "properties": {
171 "id": {
172 "type": "string"
173 },
174 "actId": {
175 "type": "string"
176 },
177 "userId": {
178 "type": "string"
179 },
180 "startedAt": {
181 "type": "string",
182 "format": "date-time",
183 "example": "2025-01-08T00:00:00.000Z"
184 },
185 "finishedAt": {
186 "type": "string",
187 "format": "date-time",
188 "example": "2025-01-08T00:00:00.000Z"
189 },
190 "status": {
191 "type": "string",
192 "example": "READY"
193 },
194 "meta": {
195 "type": "object",
196 "properties": {
197 "origin": {
198 "type": "string",
199 "example": "API"
200 },
201 "userAgent": {
202 "type": "string"
203 }
204 }
205 },
206 "stats": {
207 "type": "object",
208 "properties": {
209 "inputBodyLen": {
210 "type": "integer",
211 "example": 2000
212 },
213 "rebootCount": {
214 "type": "integer",
215 "example": 0
216 },
217 "restartCount": {
218 "type": "integer",
219 "example": 0
220 },
221 "resurrectCount": {
222 "type": "integer",
223 "example": 0
224 },
225 "computeUnits": {
226 "type": "integer",
227 "example": 0
228 }
229 }
230 },
231 "options": {
232 "type": "object",
233 "properties": {
234 "build": {
235 "type": "string",
236 "example": "latest"
237 },
238 "timeoutSecs": {
239 "type": "integer",
240 "example": 300
241 },
242 "memoryMbytes": {
243 "type": "integer",
244 "example": 1024
245 },
246 "diskMbytes": {
247 "type": "integer",
248 "example": 2048
249 }
250 }
251 },
252 "buildId": {
253 "type": "string"
254 },
255 "defaultKeyValueStoreId": {
256 "type": "string"
257 },
258 "defaultDatasetId": {
259 "type": "string"
260 },
261 "defaultRequestQueueId": {
262 "type": "string"
263 },
264 "buildNumber": {
265 "type": "string",
266 "example": "1.0.0"
267 },
268 "containerUrl": {
269 "type": "string"
270 },
271 "usage": {
272 "type": "object",
273 "properties": {
274 "ACTOR_COMPUTE_UNITS": {
275 "type": "integer",
276 "example": 0
277 },
278 "DATASET_READS": {
279 "type": "integer",
280 "example": 0
281 },
282 "DATASET_WRITES": {
283 "type": "integer",
284 "example": 0
285 },
286 "KEY_VALUE_STORE_READS": {
287 "type": "integer",
288 "example": 0
289 },
290 "KEY_VALUE_STORE_WRITES": {
291 "type": "integer",
292 "example": 1
293 },
294 "KEY_VALUE_STORE_LISTS": {
295 "type": "integer",
296 "example": 0
297 },
298 "REQUEST_QUEUE_READS": {
299 "type": "integer",
300 "example": 0
301 },
302 "REQUEST_QUEUE_WRITES": {
303 "type": "integer",
304 "example": 0
305 },
306 "DATA_TRANSFER_INTERNAL_GBYTES": {
307 "type": "integer",
308 "example": 0
309 },
310 "DATA_TRANSFER_EXTERNAL_GBYTES": {
311 "type": "integer",
312 "example": 0
313 },
314 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
315 "type": "integer",
316 "example": 0
317 },
318 "PROXY_SERPS": {
319 "type": "integer",
320 "example": 0
321 }
322 }
323 },
324 "usageTotalUsd": {
325 "type": "number",
326 "example": 0.00005
327 },
328 "usageUsd": {
329 "type": "object",
330 "properties": {
331 "ACTOR_COMPUTE_UNITS": {
332 "type": "integer",
333 "example": 0
334 },
335 "DATASET_READS": {
336 "type": "integer",
337 "example": 0
338 },
339 "DATASET_WRITES": {
340 "type": "integer",
341 "example": 0
342 },
343 "KEY_VALUE_STORE_READS": {
344 "type": "integer",
345 "example": 0
346 },
347 "KEY_VALUE_STORE_WRITES": {
348 "type": "number",
349 "example": 0.00005
350 },
351 "KEY_VALUE_STORE_LISTS": {
352 "type": "integer",
353 "example": 0
354 },
355 "REQUEST_QUEUE_READS": {
356 "type": "integer",
357 "example": 0
358 },
359 "REQUEST_QUEUE_WRITES": {
360 "type": "integer",
361 "example": 0
362 },
363 "DATA_TRANSFER_INTERNAL_GBYTES": {
364 "type": "integer",
365 "example": 0
366 },
367 "DATA_TRANSFER_EXTERNAL_GBYTES": {
368 "type": "integer",
369 "example": 0
370 },
371 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
372 "type": "integer",
373 "example": 0
374 },
375 "PROXY_SERPS": {
376 "type": "integer",
377 "example": 0
378 }
379 }
380 }
381 }
382 }
383 }
384 }
385 }
386 }
387}GoodDataListEditor 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 GoodDataListEditor 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:
Pricing
Pricing model
Pay per usageThis Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage.
