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Append to dataset

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Developed by

Josef Válek

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

0.0 (0)

Pricing

Pay per usage

Total users

Monthly users

Runs succeeded

84%

Last modified

a year ago

Developer tools

Automation

Open source

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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

101

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

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

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

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

102

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

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.

Jaroslav Hejlek

Dataset Processor in Python

drobnikj/dataset-processor-python

This actor utilizes Python to process the dataset.

Jakub Drobník

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.