You can access the Append to dataset 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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {}
9
10# Run the Actor and wait for it to finish
11run = client.actor("valek.josef/append-to-dataset").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
15for item in client.dataset(run["defaultDatasetId"]).iterate_items():
16    print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Append to dataset API in Python

The Apify API client for Python is the official library that allows you to use Append to dataset API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Append to dataset API in JavaScript

Append to dataset API through CLI

Append to dataset OpenAPI definition

Append to dataset API

Dataset Download

idiatech/apify-Dataset-Download

Download any dataset from the Apify platform automatically and in any format you want. Use this actor along with a Dataset toolbox automation tool.

idIA Tech

LLM Dataset Processor

dusan.vystrcil/llm-dataset-processor

Allows you to process output of other actors or stored dataset with single LLM prompt. It's useful if you need to enrich data, summarize content, extract specific information, or manipulate data in a structured way using AI.

Dušan Vystrčil

104

XMLs To Dataset

mtrunkat/xmls-to-dataset

Go to actor anytime you need to download XML files and store them in the dataset.

Marek Trunkát

105

Dataset(s) To Schema

zuzka/dataset-to-schema

Takes a Dataset ID(s) and outputs a JSON schema of the contents of the dataset into key value store.

Zuzka Pelechová

5.0

Failed Runs Monitor

jannovotny/failed-runs-monitor

This actor will let you know about failed or time outed runs of your actors and tasks via Slack or email. It can also notice you about successful runs with empty dataset, check JSON schema of dataset items, or about runs that are running for too long.

Jan Novotný

Dataset Query Engine

jiri.spilka/dataset-query-engine

Use natural language queries to retrieve results from an Apify dataset. This Actor provides a query engine that loads a dataset, executes SQL queries, and synthesizes results.

Jiří Spilka

4.7

Forward Dataset to Actor or Task

valek.josef/forward-dataset-to-actor-or-task

Forwards contents of specified dataset to a specified field on the input of another Actor or task.

Josef Válek

Sort Dataset Items

lukaskrivka/sort-dataset-items

Add this actor as a webhook to your scraper to sort the dataset by index field

Lukáš Křivka

Python Example

apify/python-example

Example Actor written in Python, showing how to read the Actor input and push to the Actor's default dataset.

Apify

127

Validate Dataset(s) with JSON Schema

jaroslavhejlek/validate-dataset-with-json-schema

This Actor validates items in one or more datasets against a provided JSON Schema. Use it if you planning to add a dataset validation schema to your actor and you want test it.