Dataset Deduplicator & Cleaner

Automatically checks, whether default datasets created by runs of an actor differ too much from the previously encountered ones, allowing it to warn you about web scraping problems caused by, e.g., a website layout changing, or other significant changes in the resulting data.

Fast Dataset Cleaner & CSV Formatter

motivational_nickel/dataset-cleaner-and-formatter

Fast dataset cleaning for CSV and JSON files. Automatically removes duplicates, trims whitespace, fixes capitalization, and normalizes fields. Works with Apify datasets or uploaded files and prepares data for analytics, CRM imports, and automation pipelines.

Deduplicate, Merge & Transform Datasets

datacach/deduplicate-datasets

Merge multiple datasets, deduplicate items by a combination of fields, and apply custom transforms — powered by Polars.

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.

Google Dataset Items Translator

web.harvester/google-dataset-items-translator

Translate any dataset field(s) to any of the supported languages using the Google Translate website, it goes through all the items in the dataset and translates all of the selected fields

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 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.

Flatten nested JSON objects into flat key/value rows using configurable dot notation, from inline JSON or an Apify Dataset.

Clean, normalize and deduplicate any dataset: field names, whitespace, empty values, numbers, plus exact and fuzzy duplicate removal.

Parse CSV text safely, normalize cells, and return structured JSON rows for APIs, automation, ETL pipelines, and data processing workflows.