Meet the Ultimate Data Processor, a human-friendly tool that simplifies your data tasks. With this Apify actor, you can merge datasets, remove duplicates, and transform data quickly and effortlessly, all in one go. Say goodbye to complex processes and hello to streamlined data management
Add persistedSharedObject to transform functions input object. This object is shared for all transform function calls and persist over Actor migrations. This is useful mainly for the dedup-as-loading mode where the transform functions are called multiple times and only process a chunk of the data.
Add nullAsUnique to input. If set to true, the null and missing values are considered unique and not deduplicated.
2024-07-03
Features
Enable merging all datasets for runs of an Actor or Task with actorOrTaskId, onlyRunsNewerThan, onlyRunsOlderThan input parameters.
2023-07-13
Features
Add customInputData object to input for easy passing of custom values into preDedupTransformFunction and postDedupTransformFunction. It is part of the 2nd parameter object.
2021-01-24
Featues
Added fieldsToLoad to input to increase speed and reducem meory if you don't need full items in output
Added limit and offset to input to be able to process only slices of dataset
Removed uploadSleepMs as the platform can now handle much higher load of upload
2021-01-14
Features
outputDatasetId can now also use dataset name. If dataset with that name doesn't exist, a new dataset is created.
2020-07-10
Fixes:
dedup-as-loading mode now works correctly with actor migrations. This means that this actor can finally be used for huge datasets with lower memory!
Features:
fields are now optional which means the actor does not need to perform deduplication
Previous updates
Previous updates were not tracked, see GitHub commits if you need to find past changes or ask in Issues or Discord.
