Dataset Filter, Dedupe & Convert – JSON/CSV/XLSX

Dataset Cleaner & Exporter

nerolabs/dataset-cleaner-exporter

Returns a deduplicated, flattened and cleaned copy of any Apify dataset, file or Google Sheet by URL, or JSON array, plus CSV and Excel files, named-dataset append and webhook delivery. Inputs: source, dedup keys, flatten, cleaning options. Agent-ready: pay per event (x402, MCP), per cleaned record.

PDF Extractor 2.0

jupri/pdf-extractor-2-0

💫 Extract PDF Document Contents including Metadata, Images, Pages, Tables, Attachments, etc.

Automated JSON unnester

eloquent_mountain/automated-json-unnester

Unnest and download any JSON effortlessly with this powerful Apify actor. Handle complex nested structures, expand lists into rows, and customize your output with ease.

Google Jobs Scraper

blueskyscraper/google-jobs-scraper

[from $2.63/1K jobs] Scrape Google Jobs listings by job title and location: title, company, location, remote flag, job type, salary parsed into min, max, currency and period, posted date, publisher and job link. Only-new-jobs mode. No run fee.

Pandoc Document Converter

incredible_moment/pandoc-actor

Universal document converter. Transform Markdown, HTML, and text to PDF, DOCX, EPUB, and more. High-performance Rust wrapper for the Pandoc engine ensures fast execution and low memory footprint.

Turn any Apify dataset or JSON list into ready-to-import files: CSV (UK Excel-safe), JSON Lines, PostgreSQL and SQL Server scripts with inferred types, a Microsoft Dataverse table and import file, and validated iCalendar. Deterministic field mapping, no AI guessing. See README.

Convert PDFs, DOCX and images to clean Markdown with OCR fallback for scanned pages and table extraction. Per-page output plus a combined document. By NYC Data Works.

Convert inline JSON object arrays or JSON Lines into full JSON, JSONL and spreadsheet-safe CSV exports. Reject invalid lines, duplicate fields and unsafe decimal conversion. No network calls.

Inspect one pasted CSV without guessing repairs. Get literal accepted values, a rejected-record ledger, and a reconciled receipt. Experimental; no confidential data.

Validates and normalizes phone numbers to E.164 using libphonenumber's numbering-plan data: possible/valid, region, number type, time zones and standard formats. Fully offline: no carrier, messaging-app or owner lookups, and no number leaves the run.