Merge datasets and keep the newest copy of each item

Created by

Ctrio Lab

Actor

Merge & Deduplicate Datasets

Merge Apify datasets listed oldest first and keep the last (newest) copy of each URL, then output only url, title, rating, city and scrapedAt, with address.city renamed to city. This example uses our public demo dataset (19 items, 10 unique URLs). Use it to combine daily runs of a scraper into one up-to-date table.

Try for free

Merge & Deduplicate Datasetsctriolab/merge-dedupe-datasets

Url

Title

Rating

Address

+1 field

Input

Datasets to merge(required):CotvbQSQ340wBAwq3

Deduplicate by fields:url

Which duplicate to keep:last

Output only these fields:url+4

Rename fields:{1 field}

Output fields

Url

Title

Rating

Address

Scraped at

How it works

Sign up on Apify or log in

The Merge & Deduplicate Datasets Actor is ready to run with the inputs already set for "Merge datasets and keep the newest copy of each item". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Merge datasets and keep the newest copy of each item" task

The Merge & Deduplicate Datasets Actor will start running based on the input automatically. You can also change all the input fields, like datasets to merge, deduplicate by fields, and more, to match your specific use case.

Receive the "Merge datasets and keep the newest copy of each item" 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 url, title, rating, 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 "Merge datasets and keep the newest copy of each item" task via API.