Split Competitive Signals for Processing

Created by

Tim Zinin

Actor

Competitive Intelligence Dataset Splitter

Split normalized signal rows into stable bounded groups with complete coverage, exact IDs, counts, and deterministic digests.

Try for free

Competitive Intelligence Dataset Splitterzinin/us-brand-signal-batch-splitter

Schema

Report type

Input boundary

Grouping mode

+6 fields

Input

Report contract version(required):1.0

Grouping mode(required):brand

Normalized signal rows(required)

Signal ID(required):sig-nike-price-002+3

Brand name(required):Nike+3

Event type(required):price_change+3

Severity(required):medium+3

Analysis status(required):reviewed+3

Output fields

Schema

Report type

Input boundary

Grouping mode

Rows

Groups

Stable groups

Review decision

Input SHA-256

Result SHA-256

How it works

Sign up on Apify or log in

The Competitive Intelligence Dataset Splitter Actor is ready to run with the inputs already set for "Split Competitive Signals for Processing". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Split Competitive Signals for Processing" task

The Competitive Intelligence Dataset Splitter Actor will start running based on the input automatically. You can also change all the input fields, like report contract version, grouping mode, and more, to match your specific use case.

Receive the "Split Competitive Signals for Processing" 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 schema, report type, input boundary, 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 "Split Competitive Signals for Processing" task via API.