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Run a pipeline over an existing dataset
Created by
Adam Pearce
Starts the chain from a dataset you already have, such as any scraper's output, by setting the starting dataset. It is handed to the first step exactly the way each step hands its result to the next. Shown as a dry run so it is safe to try without a dataset of your own.
Actor Pipeline Runner (Chain Actors in One Run)nerolabs/actor-pipeline-runner
#
Step
Actor
Status
+6 fieldsTextNumberBooleanListObject
Input
Steps(required)
actor:nerolabs/dataset-cleaner-exporter+1
label:Clean the scraped rows+1
input
Dry run (validate the chain, start nothing):true
Stop on failure:true
Output fields
#
Step
Actor
Status
Rows out
Dataset
Fed in via
ms
Run
Error
Sign up on Apify01
Create your Apify account to access the Actor Pipeline Runner (Chain Actors in One Run).
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
