Go to example tasks
Import CSV JSON JSONL or XML into Apify Dataset
Import CSV JSON JSONL or XML into Apify Dataset. Ready-to-run File-to-Dataset Ingestion and Normalization Pipeline workflow for this specific buyer use case. Replace the example input with your own target data and receive structured results ready for analysis, automation, and AI workflows.
File-to-Dataset Ingestion & Normalization Pipelinequanmatrix/file-to-dataset-processing-pipeline
source Index
row Index
TextNumberBooleanListObject
Input
Documents(required)
name:sample
format:json
content:[{"id":1,"name":"alpha"},{"id":2,"name":"beta"}]
Maximum output rows:100
Add provenance fields:true
Output fields
source Index
row Index
Sign up on Apify01
Create your Apify account to access the File-to-Dataset Ingestion & Normalization Pipeline.
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.
