Blogs

Working with python traffic data often means wrestling with outdated tools or manual processes that are both time-consuming and error-prone. Developers and analysts trying to build traffic-aware applications are often left scraping public sources or relying on APIs that don’t expose the real-time conditions you need. The process of collecting live traffic details from Google Maps API without a proper tool is a headache, and it’s easy to hit rate limits or miss the data you’re after....

We just released Google Maps Data Extractor — extract business listings from google maps search results into structured data. What it does This tool processes exported Google Maps search results (saved as HTML files) and extracts business listings into a clean CSV. It’s for researchers, marketers, and developers who need structured location data without manual copying. Works with data exported from Google Maps. Features Parse HTML files containing Google Maps search results Extract business name, address, phone number, and website Export cleaned data to a structured CSV file Handle pagination by processing multiple exported HTML files Configurable output fields via a simple JSON settings file Usage from maps_extractor import process_export process_export('search_results....

We just released TecDoc Parts Data Extractor — parse and extract vehicle parts data from tecdoc catalog exports. What it does A Python CLI tool that processes TecDoc catalog data exports (CSV, Excel) to extract and structure vehicle parts information. For automotive developers and data analysts who need clean, queryable parts data without manual work. Outputs standardized JSON or CSV for integration. Features Parse multi-sheet TecDoc Excel catalogs into structured tables Extract part numbers, descriptions, and vehicle compatibility mappings Clean and normalize manufacturer and OE reference numbers Export to flat CSV or nested JSON for easy database import Filter results by vehicle make, model, year, or part category Usage td_extract --input tecdoc_export....

We just released Traffic Data Extractor — extract real-time traffic conditions from google maps api responses. What it does Python CLI tool that fetches live traffic data using Google Maps API keys. Helps developers and analysts build traffic-aware applications without complex scraping infrastructure. Features Fetch current traffic conditions for specified routes Export traffic data as JSON or CSV files Batch process multiple origin-destination pairs from input file Cache results to minimize API calls and costs Filter results by traffic severity levels Usage python traffic_scraper....

FVWM users who rely on Perl scripts for window manager automation often find themselves stuck in legacy codebases. The FVWM Perl to Python Converter helps bridge that gap, translating existing Perl modules into clean, modern Python code. If you’re managing custom FVWM setups and avoiding Perl dependencies, this tool can save you hours of manual rework. The Manual Way (And Why It Breaks) Manually converting Perl scripts to Python for FVWM automation is a tedious and error-prone process....

Marketplace data extraction from Amazon product listings used to require hours of manual effort. Copying brand names, parsing promotion text, and organizing results into clean reports was tedious and error-prone. For analysts and developers working with competitor data, it’s a bottleneck that slows down insights. The Manual Way (And Why It Breaks) Manually sifting through Amazon exports is not just slow—it’s prone to mistakes. You must open each file, scan the product rows, and extract brand names and promotion terms like “deal,” “coupon,” or “off....

We just released FVWM Perl to Python Converter — convert legacy fvwm perl configuration scripts to modern python modules. What it does This tool automatically translates FvwmTabs Perl scripts into Python code, preserving window manager logic. It’s for FVWM users and sysadmins who want to maintain their custom setups without Perl dependencies. The key benefit is future-proofing your desktop configuration with a clean Python codebase. Features Parses FvwmTabs Perl syntax and translates core functions Generates Python classes for FVWM modules and menu definitions Preserves comments and original structure where possible Outputs runnable Python 3 code with standard library imports Includes a validation mode to check translation accuracy Usage fvwm_converter --input ~/....

python social media automation tools can save hours of manual work — especially when dealing with Facebook group exports. But what happens when the Facebook data export comes as a massive, nested JSON file? That’s where automation breaks down. Most people end up manually copying and pasting data across spreadsheets, trying to maintain post hierarchy and reaction counts. For researchers or group admins, the process becomes a headache — especially when looking to analyze trends or archive discussions....

Photo to spreadsheet conversion is a time-consuming task often done manually, especially when field workers or researchers scan paper forms and then type data into Excel. The process is error-prone, repetitive, and slows down workflows. With tools like OCR Python and image to text Python, developers can automate parts of this process—but doing it right requires handling form layouts, checkboxes, and structured output. The Manual Way (And Why It Breaks) Manually entering data from paper forms is tedious and inefficient....

We just released Marketplace Brand and Promotion Data Extractor — extract brand and promotion details from amazon product listings using exported data. What it does This Python script processes exported Amazon product data (CSV/JSON) to extract and organize brand names and active promotion details. It’s for developers and analysts who need to analyze competitor promotions and brand presence without live scraping. The key benefit is clean, structured data from your own exports....

python video automation doesn’t have to mean manual drudgery. For content creators and media managers handling dozens or hundreds of video files, the repetitive task of renaming and tagging can quickly become a bottleneck. A simple tool that automates these tasks — like a video metadata batch processor — is a necessity for those looking to scale their workflow. When you’re juggling multiple projects, the last thing you want is to spend hours manually updating file names and metadata....

We just released Photo to Spreadsheet Form Converter — extract structured form data from photos into an excel spreadsheet. What it does This tool uses OCR and computer vision to detect and read form fields in a photo, then outputs the data to an Excel file. It’s for researchers, field workers, and office staff who need to digitize paper forms quickly. The key benefit is automating manual data entry from images....