Pricing
$2.90/month + usage
Clean and organize scraped .json or .csv data — no coding required. Remove duplicates, empty rows, unwanted columns, and sort by any field. Cleaned results are pushed to your Apify dataset. Perfect for marketers, researchers, and no-code workflows.
0.0 (0)
Pricing
$2.90/month + usage
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Last modified
25 days ago
uploadedDataFilestringOptional
Upload a CSV or JSON file, or paste a full Apify URL for a stored record. The file must contain structured rows of data with fields you want to clean or filter.
deduplicateBystringOptional
Enter the name of a field (e.g. 'email', 'product_id') to remove duplicate rows. Only the first row with each unique value will be kept.
Default value of this property is ""
removeEmptybooleanOptional
Removes rows that contain no meaningful data. Works for both CSV and JSON files.
Default value of this property is true
requiredFieldsarrayOptional
Specify one or more field names (e.g. 'email', 'phone'). Rows missing required data in these fields will be removed.
requireAllFieldsbooleanOptional
If checked, rows must contain data in ALL required fields. If unchecked, rows with data in ANY one required field will be kept.
Default value of this property is false
requiredFieldKeystringOptional
Keep only rows where this field matches a specific value. Enter the field name (e.g. 'member', 'status').
Default value of this property is ""
requiredFieldValuestringOptional
Value to match for the field above (e.g. 'pro', 'active'). Only exact matches will be kept.
Default value of this property is ""
removeColumnsarrayOptional
List of field names to remove from each row (e.g. 'email', 'internal_notes'). Applies to both CSV and JSON.
