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Diff Datasets

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Developed by

Paulo Cesar

Take one dataset on Apify platform, compare it to another, and output the missing ones. This can also be used to output only changed items, using a compound key

0.0 (0)

Pricing

Pay per usage

Total users

Monthly users

Runs succeeded

Last modified

3 years ago

Automation

Open source

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Diff Dataset Fields

lukaskrivka/diff-dataset-fields

Compare changes in text fields between two datasets. Monitor new and updated content on websites.

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Website Screenshot Generator

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Create a screenshot of a website based on a specified URL. The screenshot is stored as the output in a key-value store. It can be used to monitor web changes regularly after setting up the scheduler.

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Mark Carter

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.

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Spawn Workers

pocesar/spawn-workers

This actor lets you spawn tasks or other actors in parallel on the Apify platform that shares a common output dataset, splitting a RequestQueue-like dataset containing request URLs

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Google Dataset Items Translator

web.harvester/google-dataset-items-translator

Translate any dataset field(s) to any of the supported languages using the Google Translate website, it goes through all the items in the dataset and translates all of the selected fields

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Yet Another Dataset Translator

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Actor to translate datasets with field selection and source language detection. Requires Google Translate API Key.

Matěj Volf

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

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

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.