Marketplace

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....

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. Features Parse exported Amazon product listings from CSV or JSON files Extract and deduplicate brand names from product data Identify and list promotion keywords (e....

This tool processes and optimizes raw scraped data from Amazon.in free gift promotions. It’s for Python developers and data analysts who need to clean, deduplicate, and structure messy scraped data into a usable format. The key benefit is turning unstructured scraped output into clean, analysis-ready CSV or JSON files. Features Deduplicates entries based on product ID and title Standardizes inconsistent date and price formats Extracts and validates product URLs from raw HTML snippets Filters out-of-stock or expired promotions based on timestamps Exports cleaned data to CSV or JSON with configurable schemas Usage import amazon_gift_optimizer optimizer....

Processes exported Ebay product data from CSV files to generate organized inventory reports and pricing analysis. Works with Ebay’s export formats to clean and structure your marketplace data for better business insights. Features Parse Ebay CSV export format with multiple column mappings Calculate profit margins and fee breakdowns per item Group products by category, condition, or price range Generate summary reports with sales velocity metrics Export cleaned data to standardized CSV format Usage python ebay_processor....

This tool processes raw, messy scraped job data from Amazon’s careers pages. It’s for Python developers and data analysts who need stable, structured datasets for analysis. It handles common scraping inconsistencies like duplicate entries, broken HTML, and varying date formats. Features Deduplicate listings by job ID and title — removes exact and fuzzy duplicates Standardize date formats — converts various string formats to ISO 8601 Clean HTML artifacts — strips tags and normalizes whitespace from description fields Validate and structure location data — parses city, state, country into separate columns Export to clean CSV or JSON — outputs a consistent, analysis-ready file Usage amazon_job_cleaner --input messy_listings....

This tool logs into your Amazon Ads account and downloads campaign performance reports. It’s for Python developers managing Amazon Ads who need to automate daily data collection. Saves hours of manual work. Features Authenticate securely with Amazon Ads API Download Sponsored Products campaign reports Schedule daily automated report runs Export data to CSV with custom date ranges Handle API rate limits and errors automatically Usage from amazon_ads_tool import Reporter reporter = Reporter(credentials_file='creds....