Automation

We just released Python Script Sync Delay Fixer — eliminate execution delays in python scripts with automatic sync timing adjustment. What it does This tool analyzes and fixes synchronization delays in Python scripts that rely on file-based or time-based triggers. It’s for developers who need to ensure consistent script execution timing across Linux and Mac environments. Key benefit: reduces script runtime by up to 40% by optimizing sync intervals. Features Auto-detect sync delay patterns in script code using AST parsing Adjust time....

This tool analyzes and fixes synchronization delays in Python scripts that rely on file-based or time-based triggers. It’s for developers who need to ensure consistent script execution timing across Linux and Mac environments. Key benefit: reduces script runtime by up to 40% by optimizing sync intervals. Features Auto-detect sync delay patterns in script code using AST parsing Adjust time.sleep() and polling intervals based on actual system load Generate optimized script version with corrected sync timing Support for CSV input of script execution logs to fine-tune delays Export fixed script as a standalone Python file with no external dependencies Usage python fix_sync_delay....

A Python CLI tool that processes exported business data (CSV, JSON, Excel) to generate reports, transform formats, and trigger downstream actions. Ideal for operations teams who need to automate data workflows without coding. Works offline with your exported files. Features Multi-format input — read CSV, JSON, and Excel files with automatic schema detection Template-based report generation — produce PDF, HTML, or Markdown summaries from data rows Data transformation pipeline — filter, sort, aggregate, and map columns via YAML config Batch processing — handle thousands of records with progress bars and error logging Output to file or stdout — pipe results to other tools or save as new CSV/JSON/Excel Usage export-automation run --input orders....

A Python CLI tool for Belgian agencies managing multiple websites. It processes exported CSV/JSON files from analytics or CRM platforms to consolidate phone clicks, form submissions, and email click events into a single report. Works offline with exported data — no live API or OAuth required. Features Import CSV/JSON/Excel files from multiple sites — auto-detect and merge columns Identify phone click events via tel: links or custom data attributes Track form submissions by matching form IDs or URL patterns Detect email click events from mailto: links or tracking parameters Export consolidated report as CSV with site name, event type, timestamp, and URL Usage python track_events....

We just released Export Business Automation — automate repetitive export tasks from csv/json/excel files with a single cli command. What it does A Python CLI tool that processes exported business data (CSV, JSON, Excel) to generate reports, transform formats, and trigger downstream actions. Ideal for operations teams who need to automate data workflows without coding. Works offline with your exported files. Features Multi-format input — read CSV, JSON, and Excel files with automatic schema detection Template-based report generation — produce PDF, HTML, or Markdown summaries from data rows Data transformation pipeline — filter, sort, aggregate, and map columns via YAML config Batch processing — handle thousands of records with progress bars and error logging Output to file or stdout — pipe results to other tools or save as new CSV/JSON/Excel Usage export-automation run --input orders....

We just released Multi-Site Click & Form Tracker — aggregate phone clicks, form submissions, and email clicks from 20+ sites into one csv. What it does A Python CLI tool for Belgian agencies managing multiple websites. It processes exported CSV/JSON files from analytics or CRM platforms to consolidate phone clicks, form submissions, and email click events into a single report. Works offline with exported data — no live API or OAuth required....

python batch processing is a powerful way to automate repetitive text tasks, but when you’re dealing with hundreds of files, manual editing becomes tedious and error-prone. The typical workflow involves opening each file, identifying inconsistencies, and applying fixes one by one. For developers and analysts working with large datasets, this process can waste hours and introduces human errors that are hard to track. Imagine trying to clean and standardize thousands of ....

A Python CLI tool for developers and data analysts to process large batches of text files. It reads from a CSV manifest, applies cleaning rules, and outputs standardized files. Saves hours of manual text editing. Features Process thousands of .txt, .md, and .log files from a CSV manifest Apply regex find-and-replace rules defined in a JSON config file Remove duplicate lines, trim whitespace, and standardize line endings Append or prepend headers/footers based on file metadata Generate a detailed processing report in JSON format Usage batch_text_processor --manifest files....

We just released Batch Text File Processor and Cleaner — automatically clean, format, and transform thousands of text files in bulk. What it does A Python CLI tool for developers and data analysts to process large batches of text files. It reads from a CSV manifest, applies cleaning rules, and outputs standardized files. Saves hours of manual text editing. Features Process thousands of .txt, .md, and .log files from a CSV manifest Apply regex find-and-replace rules defined in a JSON config file Remove duplicate lines, trim whitespace, and standardize line endings Append or prepend headers/footers based on file metadata Generate a detailed processing report in JSON format Usage batch_text_processor --manifest files....

Property value extraction is time-consuming when done manually, especially when dealing with dozens or hundreds of addresses. Copying and pasting Zestimate data from Zillow is tedious, error-prone, and not scalable. Real estate analysts and investors often need to bulk collect property estimates, but the manual process quickly becomes a bottleneck. This is where automation can help. The Manual Way (And Why It Breaks) Manually collecting property estimates from Zillow requires opening each listing individually, copying the Zestimate figure, and pasting it into a spreadsheet....

python email automation has become a common need for analysts and developers managing email archives, but manually extracting data from daily exports can be tedious and error-prone. Whether you’re parsing CSV email logs or JSON exports, the process often involves repetitive copy-pasting, Excel manipulation, or custom scripts that don’t scale well. This is where a tool like the Daily Email Report Extractor comes in — it automates what would otherwise be a time-consuming task....

Python marketplace tools often start with a simple idea—track product prices over time. But when that idea involves manually checking dozens of Amazon URLs every day, it quickly becomes tedious, error-prone, and inefficient. A python marketplace project should save time, not waste it. If you’re doing this by hand, you’re likely copy-pasting URLs, opening tabs, manually recording prices, and hoping nothing breaks. That’s where automation steps in. The Manual Way (And Why It Breaks) Manually tracking product prices across a marketplace like Amazon is a task best suited for machines....