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Get only the new items from a scheduled scraper

When a scraper runs every day, most results are the same as yesterday. This task remembers what it has already seen (only hashes of the items are stored, in a key-value store you name) and returns just the items that are new since the last run, for example new job ads, listings or articles. The first run reports every item as new.

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Dataset Change Tracker
Dataset Change Trackerquietworkslab/dataset-change-tracker
Change type
Key
Key hash
Changed fields
+2 fields
Text
Number
Boolean
List
Object

Input

Key fields:url
Change types to output:added
Remember the last run in this store:my-scraper-seen-items

Output fields

Change type
Key
Key hash
Changed fields
Previous values
Item

How it works

Sign up on Apify or log in

The Dataset Change Tracker Actor is ready to run with the inputs already set for "Get only the new items from a scheduled scraper". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Get only the new items from a scheduled scraper" task

The Dataset Change Tracker Actor will start running based on the input automatically. You can also change all the input fields, like key fields, change types to output, and more, to match your specific use case.

Receive the "Get only the new items from a scheduled scraper" 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 change type, key, key hash, 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 "Get only the new items from a scheduled scraper" task via API.

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Integrate "Get only the new items from a scheduled scraper" into your workflow

Connect "Get only the new items from a scheduled scraper" with 100+ integrations, or run it via API or MCP.

Webhook

Webhook

n8n

n8n

Make

Make

Zapier

Zapier

Airbyte

Airbyte

Keboola

Keboola

IFTTT

IFTTT

Hubspot

Hubspot

GDrive

GDrive

Gmail

Gmail

Apify MCP

Apify MCP

GitHub

GitHub

Slack

Slack

LangChain

LangChain

LlamaIndex

LlamaIndex

Flowise

Flowise

Pinecone

Pinecone

OpenAI

OpenAI

Mastra

Mastra

Clay

Clay

Frequently asked questions

The new items task saves hashes of the key and content of each item in the key-value store named in stateStoreName, and compares the next run with them. The items themselves are not stored.

On the first run with a new stateStoreName, the new items task has nothing to compare with, so it reports every item as added. From the second run on, only new items are returned.

Yes. Add the Dataset Change Tracker as an integration on your scraper's Integrations tab and set datasetId to {{resource.defaultDatasetId}}. With stateStoreName, each run is compared with the previous one automatically.