No credit card required

Append to dataset

valek.josef/append-to-dataset

No credit card required

Utility actor that allows you to build a single large dataset from individual default datasets of other actor runs.

You can access the Append to dataset 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": "jGbw1qzW7ToXS4vlJ"
6  },
7  "servers": [
8    {
9      "url": "https://api.apify.com/v2"
10    }
11  ],
12  "paths": {
13    "/acts/valek.josef~append-to-dataset/run-sync-get-dataset-items": {
14      "post": {
15        "operationId": "run-sync-get-dataset-items-valek.josef-append-to-dataset",
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                "$ref": "#/components/schemas/inputSchema"
27              }
28            }
29          }
30        },
31        "parameters": [
32          {
33            "name": "token",
34            "in": "query",
35            "required": true,
36            "schema": {
37              "type": "string"
38            },
39            "description": "Enter your Apify token here"
40          }
41        ],
42        "responses": {
43          "200": {
44            "description": "OK"
45          }
46        }
47      }
48    },
49    "/acts/valek.josef~append-to-dataset/runs": {
50      "post": {
51        "operationId": "runs-sync-valek.josef-append-to-dataset",
52        "x-openai-isConsequential": false,
53        "summary": "Executes an Actor and returns information about the initiated run in response.",
54        "tags": [
55          "Run Actor"
56        ],
57        "requestBody": {
58          "required": true,
59          "content": {
60            "application/json": {
61              "schema": {
62                "$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                  "$ref": "#/components/schemas/runsResponseSchema"
85                }
86              }
87            }
88          }
89        }
90      }
91    },
92    "/acts/valek.josef~append-to-dataset/run-sync": {
93      "post": {
94        "operationId": "run-sync-valek.josef-append-to-dataset",
95        "x-openai-isConsequential": false,
96        "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
97        "tags": [
98          "Run Actor"
99        ],
100        "requestBody": {
101          "required": true,
102          "content": {
103            "application/json": {
104              "schema": {
105                "$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          "datasetIdOrName"
135        ],
136        "properties": {
137          "datasetIdOrName": {
138            "title": "Target Dataset (id or name)",
139            "type": "string",
140            "description": "Dataset that should be appended to"
141          },
142          "sourceDatasetId": {
143            "title": "Source Dataset (id or name)",
144            "type": "string",
145            "description": "In one-time usecase, fill in the dataset to be appended"
146          },
147          "eventData": {
148            "title": "Event Data",
149            "type": "object",
150            "description": "If the actor is run via webhook, eventData.actorRunId will be deterimined from webhook payload and it's default dataset will be appended"
151          }
152        }
153      },
154      "runsResponseSchema": {
155        "type": "object",
156        "properties": {
157          "data": {
158            "type": "object",
159            "properties": {
160              "id": {
161                "type": "string"
162              },
163              "actId": {
164                "type": "string"
165              },
166              "userId": {
167                "type": "string"
168              },
169              "startedAt": {
170                "type": "string",
171                "format": "date-time",
172                "example": "2025-01-08T00:00:00.000Z"
173              },
174              "finishedAt": {
175                "type": "string",
176                "format": "date-time",
177                "example": "2025-01-08T00:00:00.000Z"
178              },
179              "status": {
180                "type": "string",
181                "example": "READY"
182              },
183              "meta": {
184                "type": "object",
185                "properties": {
186                  "origin": {
187                    "type": "string",
188                    "example": "API"
189                  },
190                  "userAgent": {
191                    "type": "string"
192                  }
193                }
194              },
195              "stats": {
196                "type": "object",
197                "properties": {
198                  "inputBodyLen": {
199                    "type": "integer",
200                    "example": 2000
201                  },
202                  "rebootCount": {
203                    "type": "integer",
204                    "example": 0
205                  },
206                  "restartCount": {
207                    "type": "integer",
208                    "example": 0
209                  },
210                  "resurrectCount": {
211                    "type": "integer",
212                    "example": 0
213                  },
214                  "computeUnits": {
215                    "type": "integer",
216                    "example": 0
217                  }
218                }
219              },
220              "options": {
221                "type": "object",
222                "properties": {
223                  "build": {
224                    "type": "string",
225                    "example": "latest"
226                  },
227                  "timeoutSecs": {
228                    "type": "integer",
229                    "example": 300
230                  },
231                  "memoryMbytes": {
232                    "type": "integer",
233                    "example": 1024
234                  },
235                  "diskMbytes": {
236                    "type": "integer",
237                    "example": 2048
238                  }
239                }
240              },
241              "buildId": {
242                "type": "string"
243              },
244              "defaultKeyValueStoreId": {
245                "type": "string"
246              },
247              "defaultDatasetId": {
248                "type": "string"
249              },
250              "defaultRequestQueueId": {
251                "type": "string"
252              },
253              "buildNumber": {
254                "type": "string",
255                "example": "1.0.0"
256              },
257              "containerUrl": {
258                "type": "string"
259              },
260              "usage": {
261                "type": "object",
262                "properties": {
263                  "ACTOR_COMPUTE_UNITS": {
264                    "type": "integer",
265                    "example": 0
266                  },
267                  "DATASET_READS": {
268                    "type": "integer",
269                    "example": 0
270                  },
271                  "DATASET_WRITES": {
272                    "type": "integer",
273                    "example": 0
274                  },
275                  "KEY_VALUE_STORE_READS": {
276                    "type": "integer",
277                    "example": 0
278                  },
279                  "KEY_VALUE_STORE_WRITES": {
280                    "type": "integer",
281                    "example": 1
282                  },
283                  "KEY_VALUE_STORE_LISTS": {
284                    "type": "integer",
285                    "example": 0
286                  },
287                  "REQUEST_QUEUE_READS": {
288                    "type": "integer",
289                    "example": 0
290                  },
291                  "REQUEST_QUEUE_WRITES": {
292                    "type": "integer",
293                    "example": 0
294                  },
295                  "DATA_TRANSFER_INTERNAL_GBYTES": {
296                    "type": "integer",
297                    "example": 0
298                  },
299                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
300                    "type": "integer",
301                    "example": 0
302                  },
303                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
304                    "type": "integer",
305                    "example": 0
306                  },
307                  "PROXY_SERPS": {
308                    "type": "integer",
309                    "example": 0
310                  }
311                }
312              },
313              "usageTotalUsd": {
314                "type": "number",
315                "example": 0.00005
316              },
317              "usageUsd": {
318                "type": "object",
319                "properties": {
320                  "ACTOR_COMPUTE_UNITS": {
321                    "type": "integer",
322                    "example": 0
323                  },
324                  "DATASET_READS": {
325                    "type": "integer",
326                    "example": 0
327                  },
328                  "DATASET_WRITES": {
329                    "type": "integer",
330                    "example": 0
331                  },
332                  "KEY_VALUE_STORE_READS": {
333                    "type": "integer",
334                    "example": 0
335                  },
336                  "KEY_VALUE_STORE_WRITES": {
337                    "type": "number",
338                    "example": 0.00005
339                  },
340                  "KEY_VALUE_STORE_LISTS": {
341                    "type": "integer",
342                    "example": 0
343                  },
344                  "REQUEST_QUEUE_READS": {
345                    "type": "integer",
346                    "example": 0
347                  },
348                  "REQUEST_QUEUE_WRITES": {
349                    "type": "integer",
350                    "example": 0
351                  },
352                  "DATA_TRANSFER_INTERNAL_GBYTES": {
353                    "type": "integer",
354                    "example": 0
355                  },
356                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
357                    "type": "integer",
358                    "example": 0
359                  },
360                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
361                    "type": "integer",
362                    "example": 0
363                  },
364                  "PROXY_SERPS": {
365                    "type": "integer",
366                    "example": 0
367                  }
368                }
369              }
370            }
371          }
372        }
373      }
374    }
375  }
376}

Append to dataset 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 Append to dataset from the options below:

OpenAPI.json

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:

Append to dataset API in Python

Append to dataset API in JavaScript

Append to dataset API through CLI

Append to dataset API

Developer

Josef Válek

Actor Metrics

3 monthly users
2 stars
>99% runs succeeded
Created in Jun 2022
Modified a year ago

Categories

Instagram Downloader

apilabs/instagram-downloader

Download high-quality reels, videos, with our all-in-one reel video downloader a budget-friendly solution that seamlessly integrates into your app.

ApiLabs

Website Content Crawler

apify/website-content-crawler

Crawl websites and extract text content to feed AI models, LLM applications, vector databases, or RAG pipelines. The Actor supports rich formatting using Markdown, cleans the HTML, downloads files, and integrates well with 🦜🔗 LangChain, LlamaIndex, and the wider LLM ecosystem.

Apify

35.9k

995

Cheerio Scraper

apify/cheerio-scraper

Crawls websites using raw HTTP requests, parses the HTML with the Cheerio library, and extracts data from the pages using a Node.js code. Supports both recursive crawling and lists of URLs. This actor is a high-performance alternative to apify/web-scraper for websites that do not require JavaScript.

Apify

6.3k

117

Web Scraper

apify/web-scraper

Crawls arbitrary websites using the Chrome browser and extracts structured data from web pages using a provided JavaScript function. The Actor supports both recursive crawling and lists of URLs, and automatically manages concurrency for maximum performance.

Apify

75.8k

448

Puppeteer Scraper

apify/puppeteer-scraper

Crawls websites with the headless Chrome and Puppeteer library using a provided server-side Node.js code. This crawler is an alternative to apify/web-scraper that gives you finer control over the process. Supports both recursive crawling and list of URLs. Supports login to website.

Apify

5.3k

🔥 LinkedIn Jobs Scraper

bebity/linkedin-jobs-scraper

ℹ️ Designed for both personal and professional use, simply enter your desired job title and location to receive a tailored list of job opportunities. Try it today!

Bebity

6.1k

196

Youtube Video Downloader

epctex/youtube-video-downloader

Effortlessly download YouTube videos of your preferred quality with our user-friendly Video Downloader. Try it now!

epctex

743

Fast TikTok API (with no-watermark video download link)

novi/fast-tiktok-api

All in one TikTok APIs. Fastest TikTok API for Trend, Hashtag, Search, Music, User, Comment. Provides no-watermark download link.

Novi

Instagram Followers Count Scraper

apify/instagram-followers-count-scraper

Scrape the number of followers & follows from any Instagram profile. Schedule the scraper to run regularly to monitor how the numbers change. You can also export scraped data, run the scraper via API, monitor runs or integrate with other tools.

Apify

3.6k

Extended GPT Scraper

drobnikj/extended-gpt-scraper

Extract data from any website and feed it into GPT via the OpenAI API. Use ChatGPT to proofread content, analyze sentiment, summarize reviews, extract contact details, and much more.