Daily Email Report Extractor

Daily Email Report Extractor

A Python CLI tool that processes daily email export files (CSV/JSON) to extract key metrics and content. It’s for developers and analysts who need automated, scheduled reporting from their email archives. The key benefit is generating consistent, formatted reports without manual data entry. Features Process daily email exports in CSV or JSON format Extract key metrics: sender, subject, date, and word count Generate summary reports in JSON, CSV, and plain text Filter emails by date range and sender domain Schedule automated daily runs via cron or systemd Usage python daily_email_extractor....

<span title='2026-04-10 00:00:00 +0000 UTC'>April 10, 2026</span>&nbsp;·&nbsp;OddShop
Daily Email Report Extractor

New Tool: Daily Email Report Extractor

We just released Daily Email Report Extractor — extract daily email data into structured reports from csv or json exports. What it does A Python CLI tool that processes daily email export files (CSV/JSON) to extract key metrics and content. It’s for developers and analysts who need automated, scheduled reporting from their email archives. The key benefit is generating consistent, formatted reports without manual data entry. Features Process daily email exports in CSV or JSON format Extract key metrics: sender, subject, date, and word count Generate summary reports in JSON, CSV, and plain text Filter emails by date range and sender domain Schedule automated daily runs via cron or systemd Usage python daily_email_extractor....

<span title='2026-04-10 00:00:00 +0000 UTC'>April 10, 2026</span>&nbsp;·&nbsp;OddShop
Property Value Data Extractor

New Tool: Property Value Data Extractor

We just released Property Value Data Extractor — batch extract property estimates from csv lists of addresses or zpid. What it does This tool automates the extraction of property value estimates for lists of addresses or Zillow Property IDs (ZPID). It is for real estate analysts and investors who need to gather market data without manual copying. It processes data from CSV files and outputs structured results. Features Batch process addresses from CSV files Accept Zillow Property IDs (ZPID) as input Extract Zestimate, value range, and last updated date Export results to CSV or JSON format Handle rate limiting and retries for robust scraping Usage python scraper....

<span title='2026-04-10 00:00:00 +0000 UTC'>April 10, 2026</span>&nbsp;·&nbsp;OddShop
Property Value Data Extractor

Property Value Data Extractor

This tool automates the extraction of property value estimates for lists of addresses or Zillow Property IDs (ZPID). It is for real estate analysts and investors who need to gather market data without manual copying. It processes data from CSV files and outputs structured results. Features Batch process addresses from CSV files Accept Zillow Property IDs (ZPID) as input Extract Zestimate, value range, and last updated date Export results to CSV or JSON format Handle rate limiting and retries for robust scraping Usage python scraper....

<span title='2026-04-10 00:00:00 +0000 UTC'>April 10, 2026</span>&nbsp;·&nbsp;OddShop
Marketplace Electronics Price Tracker

Marketplace Electronics Price Tracker

This Python CLI tool reads a CSV file containing Amazon product URLs and scrapes current prices, titles, and availability daily. It’s for developers and analysts who need to track price fluctuations for market research or personal use. Outputs clean JSON or CSV reports for easy analysis. Features CSV input — Provide a list of product URLs in a simple CSV file Daily scraping — Schedule daily price checks with cron or Task Scheduler Robust parsing — Extracts price, title, availability, and ASIN from product pages Multiple outputs — Save results as JSON, CSV, or append to a log file Error handling — Skips invalid URLs and logs errors for review Usage amazon-tracker --input urls....

<span title='2026-04-09 00:00:00 +0000 UTC'>April 9, 2026</span>&nbsp;·&nbsp;OddShop
Marketplace Electronics Price Tracker

New Tool: Marketplace Electronics Price Tracker

We just released Marketplace Electronics Price Tracker — scrape and monitor daily amazon electronics prices from a csv of product urls. What it does This Python CLI tool reads a CSV file containing Amazon product URLs and scrapes current prices, titles, and availability daily. It’s for developers and analysts who need to track price fluctuations for market research or personal use. Outputs clean JSON or CSV reports for easy analysis....

<span title='2026-04-09 00:00:00 +0000 UTC'>April 9, 2026</span>&nbsp;·&nbsp;OddShop

How to Generate PDF Sales Receipts with Python Automation

The Python pdf generator that automates receipt creation can be a lifesaver for small businesses and developers handling batch payments. But when you’re manually generating receipts from order data — especially after processing hundreds of transactions through Stripe or PayPal — it becomes a time-consuming pain. Using a python pdf automation tool like this can help avoid the repetitive task of copying and pasting data into templates. The Manual Way (And Why It Breaks) Processing sales receipts manually is not only tedious but also error-prone....

<span title='2026-04-08 11:33:17 +0000 UTC'>April 8, 2026</span>&nbsp;·&nbsp;OddShop
PDF Sales Receipt Generator

New Tool: PDF Sales Receipt Generator

We just released PDF Sales Receipt Generator — generate branded pdf receipts from csv or json order data automatically. What it does A Python CLI tool that creates professional, branded PDF sales receipts from exported order data. It’s for developers and small businesses who need to automate receipt delivery after processing payments via Stripe, PayPal, or custom platforms. Saves hours of manual work by batch processing orders from a simple data file....

<span title='2026-04-08 00:00:00 +0000 UTC'>April 8, 2026</span>&nbsp;·&nbsp;OddShop
PDF Sales Receipt Generator

PDF Sales Receipt Generator

A Python CLI tool that creates professional, branded PDF sales receipts from exported order data. It’s for developers and small businesses who need to automate receipt delivery after processing payments via Stripe, PayPal, or custom platforms. Saves hours of manual work by batch processing orders from a simple data file. Features Batch generate PDFs from a CSV or JSON file Apply custom branding with logo, colors, and footer text Auto-calculate totals, taxes, and line items Support for multiple currencies and date formats Merge customer data and output organized receipt files Usage pdf_receipt_generator --input orders....

<span title='2026-04-08 00:00:00 +0000 UTC'>April 8, 2026</span>&nbsp;·&nbsp;OddShop

How to Extract Google Maps Data with Python Script

Google maps data extraction often starts with a simple task: gather a list of local businesses from search results. But when those results span hundreds of pages, and you’re manually copying each name, address, and phone number, the process becomes tedious and error-prone. This is where python web scraping and automation can help. But even with automation, building a reliable tool to parse exported HTML files into clean CSVs takes time....

<span title='2026-04-05 11:27:47 +0000 UTC'>April 5, 2026</span>&nbsp;·&nbsp;OddShop

How to automate TecDoc parts data extraction with Python

TecDoc parts extractor tools save developers from hours of manual work when processing automotive catalog data. The tedious process of parsing multi-sheet Excel files and mapping vehicle compatibility can take days. For those who need clean, queryable parts data for integration, automation is a necessity. The Manual Way (And Why It Breaks) Manually processing TecDoc exports means opening Excel files, copying data across sheets, and cross-referencing part numbers. Each vehicle model often spans multiple sheets, and manufacturers use inconsistent naming conventions....

<span title='2026-04-05 11:25:41 +0000 UTC'>April 5, 2026</span>&nbsp;·&nbsp;OddShop

How to Extract Live Traffic Data with Python CLI

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....

<span title='2026-04-04 11:19:33 +0000 UTC'>April 4, 2026</span>&nbsp;·&nbsp;OddShop