Dataset Splitter: CSV, XLSX, JSON by rows or column

CSV & Excel Dataset Merger / Splitter [Bulk Optimizer]

thecfmarketing/csv-xlsx-dataset-merger-pattern-splitter

High-speed tool to merge multiple CSV & Excel files or split large datasets into smaller chunks by rows, file size, or specific patterns. Clean duplicates, optimize data formats, and structure columns. The ultimate utility for handling millions of B2B cold email leads and data lists.

This actor utilizes Python to process the dataset.

Convert XLSX, CSV and TSV files from URLs into clean JSON — one dataset item per spreadsheet row — with all sheets included and types preserved. $0.01 per successfully converted file, no start fee. Failed, unsupported or corrupt files are reported but never charged.

Output to Dataset

njoylab/apify-output-to-dataset

Merges outputs from multiple actors into a single dataset. Execute actors in series or parallel, combine data from datasets, key-value stores, webhooks, and export the final output in various formats.

Merge, Dedup & Transform Datasets

lukaskrivka/dedup-datasets

The ultimate dataset processor. Extremely fast merging, deduplications & transformations all in a single run.

Dataset Toolbox

cyberfly/dataset-toolbox

Perform common actions on datasets - merge, unify, validate, transform, order fields etc.

Dataset(s) To Schema

zuzka/dataset-to-schema

Takes a Dataset ID(s) and outputs a JSON schema of the contents of the dataset into key value store.

JSON ↔ CSV Converter

web.harvester/json-csv-converter

Convert between JSON and CSV bidirectionally. Flatten nested objects to dot notation. Handle arrays with stringify, join, or first element. Custom delimiters (comma, semicolon, tab, pipe). Parse types automatically. Upload files, provide URLs, or load from Apify Datasets.

Synthetic Dataset Generator

jungle_synthesizer/synthetic-dataset-generator

Generate realistic synthetic datasets with correlated fields, built-in presets (user profiles, companies, e-commerce products, log events), custom schemas, deterministic seeding, and multiple output formats (JSON, CSV, NDJSON).

Split any PDF into individual pages instantly. Extract all pages, specific pages (1,3,5), or ranges (1-5). Handles up to 50,000 pages. Flat $0.005 per run. Perfect first step for document processing pipelines — chain with OCR, table extraction, and text analysis actors.