Detect scraper regressions before deployment

Created by

Ryan Clinton

Actor

Actor Test Runner — Validate Inputs, Outputs & Error Handling

Compare each build against a trusted baseline and catch regressions — missing fields, result-count drops, schema drift — before they reach production.

Try for free

Actor Test Runner — Validate Inputs, Outputs & Error Handlingryanclinton/actor-test-runner

Release action

Decision

Status headline

Confidence level

+6 fields

Input

Target Actor ID(required):ryanclinton/ip-geolocation-lookup

Test Suite Preset:auto

Output fields

Release action

Decision

Status headline

Confidence level

Confidence score

Total tests

Passed

Failed

Actor display name

Tested at

How it works

Sign up on Apify or log in

The Actor Test Runner — Validate Inputs, Outputs & Error Handling Actor is ready to run with the inputs already set for "Detect scraper regressions before deployment". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Detect scraper regressions before deployment" task

The Actor Test Runner — Validate Inputs, Outputs & Error Handling Actor will start running based on the input automatically. You can also change all the input fields, like target actor id and test suite preset, to match your specific use case.

Receive the "Detect scraper regressions before deployment" 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 release action, decision, status headline, 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 "Detect scraper regressions before deployment" task via API.