Changes since the last run (snapshot mode)

Created by

Adam Pearce

Actor

Dataset Diff & Change Detector: Only New Items

Set a snapshot name and only supply the new data: the first run saves the baseline, every later run reports just the rows added, removed or changed since the previous run, then saves the new snapshot. Point 'New dataset' at your scraper's dataset (or chain it with an integration passing {{resource.defaultDatasetId}}) to get a delta feed without keeping dataset IDs.

Try for free

Dataset Diff & Change Detector: Only New Itemsnerolabs/dataset-diff-detector

Status

Key

Changed fields

Old values

+1 field

Input

Snapshot name (compare against this Actor's previous run):example-shop-watch

New data (inline)

sku:A100+2

title:Blue Widget+2

price:17.99+2

stock:30+2

Key field(s):sku

Fields to ignore:scrapedAt+2

Output fields

Status

Key

Changed fields

Old values

New values

How it works

Sign up on Apify or log in

The Dataset Diff & Change Detector: Only New Items Actor is ready to run with the inputs already set for "Changes since the last run (snapshot mode)". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Changes since the last run (snapshot mode)" task

The Dataset Diff & Change Detector: Only New Items Actor will start running based on the input automatically. You can also change all the input fields, like snapshot name (compare against this actor's previous run), new data (inline), and more, to match your specific use case.

Receive the "Changes since the last run (snapshot mode)" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as status, key, changed fields, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Changes since the last run (snapshot mode)" task via API.