Free · Open Source · Linux · macOS · Windows · Python 3.8+

Amazon product data,
scraped automatically.

ZynU Amazon Scraper (ZAS) is a free, open-source desktop tool that reads ASIN lists, scrapes complete product data from Amazon, and exports everything to CSV, JSON, and SQLite — with built-in affiliate tag injection, anti-bot delays, batch processing, and a daily limit manager. No API key. No subscription. Full source code. Runs on Linux, macOS, and Windows.

Python 3.8+·PySide6 GUI·Selenium + undetected-chromedriver·v2.1

ZynU Amazon Scraper v2.1

Python · PySide6 · Selenium · SQLite · CSV · JSON — Full source code, free forever

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Overview

What ZynU Amazon Scraper does

ZAS reads ASIN lists from plain text files, opens each Amazon product page in a real Chrome browser (using undetected-chromedriver to avoid bot detection), extracts the full product record, and writes it to three output formats simultaneously. Progress is tracked in SQLite, so you can stop and resume at any time without re-scraping what you already have.

It runs entirely on your own machine — no cloud, no API quotas, no monthly fee. Configure your Amazon Associates affiliate tag once in settings, and every exported URL is automatically tagged and ready to share.

Project Files

What's inside the download

🕷️
scraper.py
Core scraping engine

Loads ASINs from text files, opens each Amazon product page via undetected ChromeDriver, extracts all product fields, and saves incrementally to CSV + JSON + SQLite after every product — no data loss on crash.

🖥
gui.py
PySide6 desktop UI

Dark-themed GUI with sidebar navigation, live log output, non-blocking QThread workers, and a settings panel for all scraper parameters — no command-line knowledge required.

⚙️
install.py
Cross-platform installer

One-command Python installer for Linux, macOS, and Windows. Detects OS, creates a virtualenv, installs all packages, checks for Chrome/Chromium, and generates a platform-specific launcher and desktop shortcut.

🐧
install.sh
Linux/Bash installer

Alternative Bash installer for Ubuntu, Debian, Mint, Arch, and Fedora. Handles APT/DNF/Pacman dependencies, creates a .desktop entry, and adds a symlink to ~/.local/bin.

🪟
install.bat / install.ps1
Windows installers

Double-click .bat launcher or PowerShell script for Windows. Checks Python on PATH, creates venv, installs requirements, and places a .lnk shortcut on the Desktop.

🔑
asin/*.txt
ASIN input files

Drop one or more .txt files into the asin/ folder — each filename becomes the product category label. One ASIN per line. The scraper loads all files on startup and tracks progress per file.

How It Works

From ASIN list to data export

01
Input
Load ASINs from text files

Place .txt files in the asin/ folder — one ASIN per line. The filename (without .txt) becomes the product category in the output. Multiple files can be loaded at once. Already-scraped ASINs are automatically skipped via the SQLite database.

02
Anti-bot
Navigate like a real user

For each ASIN, the scraper opens Amazon's homepage first, then navigates to the product URL — mimicking real user behaviour. Random delays (5–10s), human-like page scrolling, and browser restart every 100 products reduce detection probability.

03
Extraction
Extract full product data

Title, price, star rating, review count, brand, category, main image (HD), gallery images, product specifications table, variant options, and affiliate-tagged URL are extracted from the product page DOM.

04
Output
Save to three formats simultaneously

Every successfully scraped product is immediately written to amazon_databank.csv (Excel-friendly), amazon_databank.json (API-ready), and amazon_databank.db (SQLite for querying). Saves happen per product — a crash never loses more than one record.

05
Batch control
Automatic batch cycling and daily limits

The scraper runs in configurable batches (default 500 ASINs). After each batch it pauses for a cooldown period (default 30 min). A daily limit (default 2,000) protects your IP. All counters reset at midnight.

Data Output

Fields exported for every product

Every scraped product is saved with the following fields across all three output formats (CSV, JSON, SQLite). Structured fields like gallery images, product specs, and variants are stored as JSON strings in CSV and as native arrays/objects in JSON.

Keyword
Category / source file
ASIN
Amazon product ID
URL
Affiliate-tagged product link
Title
Full product title
Price
Current listed price
Rating
Star rating (0–5)
Reviews
Total review count
Image
Main image URL (HD)
Gallery
All product image URLs
Specs
Specifications table (JSON)
Variants
Size / color options (JSON)
Scraped At
Timestamp
Installation

Install in one command

Download the zip, extract it, and run the installer for your platform. The installer handles everything: virtual environment creation, Python package installation, Chrome detection, launcher script, and desktop shortcut.

Prerequisites

🐍 Python 3.8 or newer
🌐 Google Chrome or Chromium
📡 Internet connection
🐧
Linux
Ubuntu · Mint · Debian · Arch · Fedora
bash install.sh
🍎
macOS
Creates a .app bundle in ~/Applications
bash install.shpython3 install.py
🪟
Windows
Creates a Desktop shortcut (.lnk)
install.batpowershell -File install.ps1python install.py

Launch manually after install

🐧🍎
Linux / macOS
bash run_gui.sh
🪟
Windows
run_gui.bat
Configuration

Settings you can tune in the GUI

All parameters are configurable from the Settings panel inside the app. They are saved to scraper_gui_config.json in the project directory and persist between sessions.

batch_size
default: 500
ASINs to scrape per session before cooldown.
cooldown_minutes
default: 30
Minutes to pause between batches.
daily_limit
default: 2000
Max ASINs scraped per calendar day.
browser_restart_interval
default: 100
Restart Chrome every N products to flush memory.
delay_min / delay_max
default: 5s / 10s
Random wait range between product requests.
max_retries
default: 3
Retry failed ASINs up to this many times.
affiliate_tag
default: mycroshop-20
Your Amazon Associates tag, appended to all URLs.
pages_per_keyword
default: 5
Search result pages crawled per keyword when using keyword mode.
page_load_timeout
default: 30s
Seconds to wait before marking a page load as failed.
Troubleshooting

Common issues and fixes

  • PySide6 install fails on Linux

    Install the required system libraries first: sudo apt install python3-dev libgl1 libglib2.0-0 — then re-run the installer.

  • Chrome not detected on Linux

    Download and install the google-chrome-stable .deb package from dl.google.com, then run sudo apt-get install -f to resolve dependencies.

  • "python is not recognized" on Windows

    Reinstall Python from python.org and check the ✅ "Add Python to PATH" checkbox during setup. Restart your terminal afterward.

  • Permission denied on macOS (install.sh)

    Run chmod +x install.sh first, then bash install.sh. macOS may also show a Gatekeeper warning — open System Settings › Privacy & Security to allow it.

  • Scraper hits CAPTCHA immediately

    Increase delay_min / delay_max in settings and reduce batch_size. Consider running at off-peak hours and restarting your router to rotate your IP.

  • Products show no price

    Some Amazon pages dynamically load pricing via JavaScript. The scraper scrolls the page and waits, but heavily dynamic listings may return empty. These are logged to scraper_debug.log.

Start scraping Amazon products today

Free, open-source, and runs entirely on your own hardware. No API key, no monthly fee, no data leaving your machine.

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