Dataset Cleaner & Deduplicator

Clean and normalize JSON/CSV data: trim whitespace, lowercase emails, normalize phone numbers and dates, drop empty values/rows, and deduplicate by a field.

JSON Dataset Cleaner and Deduplicator

rodrgds/dataset-cleaner

Clean JSON datasets, remove empty rows, deduplicate by any field, validate emails, and prepare scraper output for CRMs, analysis, or AI workflows.

Dataset Cleaner & Exporter

nerolabs/dataset-cleaner-exporter

Deduplicate, flatten, clean and export any Apify dataset (or your own JSON) into a ready-to-use CSV and Excel file.

Dataset Deduplicator

zentrafoundry/dataset-deduplicator

Deduplicate Apify datasets and create stable merge keys.

Data Deduplicator

parsebird/dataset-deduplicator

Merge and deduplicate Apify datasets by any field combination. Remove duplicate rows while keeping the first or last occurrence. Supports case-insensitive matching and whitespace trimming.

Dataset Deduplicator

automation-lab/dataset-dedup

Merge and deduplicate Apify datasets by any field combination. Remove duplicates, keep first or last occurrence. Case-insensitive matching, whitespace trimming. Pay per 1K items processed.

Fuzzy Search Dataset Actor

dtrungtin/fuzzy-search-dataset-actor

Search any Apify dataset using typo-tolerant fuzzy matching.

Dataset Deduplicator & Cleaner

eszetael_lab/dataset-deduplicator-cleaner

Returns your records with duplicates removed and values normalized — same fields as the input, nothing added or renamed. Exact, normalized or fuzzy matching on keys you choose. A data quality report lands under QUALITY_REPORT. Takes a dataset ID or inline JSON, so it chains after any scraper.

CSV Deduper Normalizer

junipr/csv-deduper-normalizer

Deduplicate and normalize CSV-style rows. Clean whitespace, casing, domains, URLs, and emails, then output kept and duplicate rows plus clean CSV/JSON files.

🧽 Dataset Deduplicator - Clean Any Scraped Dataset

that_red_bird/dataset-deduplicator

🧽 Upload any dataset — scraped rows, a RAG corpus, an export — and get back exact AND near-duplicates removed, plus a per-field data quality report. ✅ MinHash + LSH banding finds near-duplicate text at scale without O(n²) pairwise comparison.