We just released Indeed Application Automation Script — auto-fill and submit job applications on indeed from a csv file. What it does This tool automates the submission of job applications on Indeed using data from a CSV file. It is designed for job seekers who want to apply to multiple positions quickly without manual entry. Works with Indeed’s public job application forms. Features CSV input — read job URLs and personal details from a CSV file Auto-fill forms — populate name, email, phone, and resume fields Submit applications — click submit button after filling Headless mode — run without browser UI for background automation Error logging — save failed applications to a separate CSV for review Usage python indeed_apply....

The Python exercise tool I’m about to describe solves a real pain point for educators and learners: manually crafting coding drills is tedious and error-prone. Creating consistent, varied questions for Python practice often means copying and pasting code, writing explanations, and trying to generate unique answer choices. If you’re into python automation or building learning materials, you know how easy it is to get lost in this process. The solution? Automate it....

We just released SolidWorks Drawing Automation Script — batch update and export solidworks drawings from csv data — no gui needed. What it does A Python CLI tool that reads drawing parameters (e.g., title block fields, dimensions) from a CSV or JSON file and applies them to SolidWorks drawing files (.SLDDRW). Ideal for engineers and CAD admins who need to automate repetitive drawing updates across multiple files. Works on Linux/Mac via SolidWorks API over COM (requires Windows SolidWorks installation)....

We just released Python Educational CLI Tool — generate interactive coding exercises from a csv of concepts and examples. What it does This CLI tool takes a CSV file with columns for topic, explanation, and code snippet, then produces a set of interactive Python exercises (fill-in-the-blank, multiple choice, code output prediction). Ideal for educators and self-learners who want to create custom drills without writing any exercise logic. Features CSV input — specify topics, explanations, and code snippets in a simple CSV file Exercise types — generates fill-in-the-blank, multiple choice, and output prediction questions Randomized order — shuffles questions and answer choices each run Score tracking — displays correct/incorrect counts and percentage at the end Customizable difficulty — add a ‘difficulty’ column to filter exercises by level Usage python edu_cli....

Bulk product import is a critical step in scaling an online store, but doing it manually for hundreds or thousands of items is error-prone and time-consuming. Whether you’re migrating from another platform or launching a new catalog, the process of entering product data one by one can derail your workflow and introduce inconsistencies. The Manual Way (And Why It Breaks) Manually entering product data into Shopify or any e-commerce platform is a tedious and fragile process....

We just released Bulk Product Import Tool — import thousands of products from csv into shopify in minutes. What it does This Python CLI tool processes a CSV file of product data and generates a Shopify-compatible bulk import file. It’s designed for store owners and developers who need to upload large catalogs quickly without manual entry. Works with Shopify, WooCommerce, and BigCommerce via CSV export/import. Features CSV input with automatic column mapping — map your headers to Shopify fields (title, price, SKU, etc....

python spreadsheet automation often begins with a simple task: importing dates from Excel into a database or pipeline. But what starts as a quick data import quickly turns into a headache when date formats vary wildly across rows — some are MM/DD/YYYY, others DD/MM/YYYY, and some even include timezones or mixed formats. These inconsistencies break data pipelines, cause downstream errors, and waste hours of manual data cleaning. When you’re working on python spreadsheet automation projects, this is one of those moments where you wish there was a faster, safer way....

The python group contact extractor solves a real pain point in data automation: manually sifting through CSV exports of LinkedIn group members or Facebook group data to extract contact information. When you’re working with hundreds or thousands of group members, the repetitive task of copying and pasting becomes not just time-consuming, but error-prone. This is where a python group contact extractor tool like this one shines — it automates what would otherwise be a frustrating, manual effort....

We just released Spreadsheet Date Import Fixer — automatically parse and standardize date columns from imported excel files. What it does Fixes common date parsing issues when importing Excel files into databases or data pipelines. Ideal for data analysts and engineers who need clean, consistent date formats from spreadsheets with mixed or ambiguous date strings. Works with any Excel file (.xlsx, .xls) and outputs standardized ISO 8601 dates. Features Auto-detect and parse multiple date formats (e....

We just released Group Contact CSV Extractor — extract member contacts from linkedin and facebook group exports. What it does Processes CSV exports of LinkedIn and Facebook group members to extract and organize contact information. Designed for marketers and recruiters who need clean contact lists from group data. Works offline with your exported CSV files. Features Parse LinkedIn group member CSV exports to extract name, headline, location, and profile URLs Parse Facebook group member CSV exports to extract name, profile URL, and join date Deduplicate contacts across multiple group exports using fuzzy name matching Export results to CSV, JSON, or Excel with customizable field selection Filter contacts by keywords in headline or location fields Usage python group_contacts....

python data automation doesn’t have to mean writing custom scripts every time you need to clean or restructure a dataset. The process often involves repetitive steps that eat up time and introduce human error. Whether it’s filtering rows or transforming columns, manually handling datasets in Excel or even a basic text editor becomes tedious when dealing with real-world data. Analysts and developers who rely on data cleaning automation tools know how much time can be saved when you automate the mundane tasks....

We just released Data Scraper Automation Script — extract structured data from csv/json files with configurable rules. What it does This Python CLI tool processes local CSV or JSON files to extract, filter, and transform data based on user-defined rules. Ideal for analysts and developers who need to clean or restructure datasets without writing custom scripts. Outputs cleaned data to new CSV or JSON files. Features Configurable extraction rules via YAML config file Supports CSV and JSON input/output formats Filter rows by column value conditions (equals, contains, regex) Transform columns with built-in functions (uppercase, date format, math) Dry-run mode to preview changes before writing output Usage python scrape....