Skip to content

Latest commit

 

History

History
94 lines (56 loc) · 2.59 KB

LONG_DESCRIPTION.rst

File metadata and controls

94 lines (56 loc) · 2.59 KB

Amazon Products Scraper

amazon-scrape Python Package Version

Scrape Amazon product data such as Product Name, Product Images, Number of Reviews, Price, Product URL, and ASIN.

Requirements

Python 2.7 and later.

Setup

You can install this package by using the pip tool and installing:

$ pip install amazon-scrape

Or:

$ easy_install amazon-scrape

Scraper Help

Execute this command amazon_scraper --help in the terminal.

usage: amazon_scraper [-h] [--locale LOCALE] [--keywords KEYWORDS] [--url URL] [--proxy_api_key PROXY_API_KEY] [--pages PAGES] [-r]

optional arguments:
-h, --help            show this help message and exit
--locale LOCALE       Amazon locale (e.g., "com", "co.uk", "de", etc.)
--keywords KEYWORDS   Search keywords
--url URL             Amazon URL
--proxy_api_key       Scraper API Key
--pages PAGES         Number of pages to scrape
-r, --review          Scrape reviews

Usage Example

# Specify locale, keywords, API key, and number of pages to scrape:
amazon_scraper --locale com --keywords "laptop" --proxy_api_key "your_api_key" --pages 10

## Specify only keywords and API key (will default to "co.uk" locale and 20 pages):
amazon_scraper --keywords "iphone" --proxy_api_key "your_api_key"

## Specify a direct Amazon URL and API key (will default to "co.uk" locale and 20 pages):
amazon_scraper --url "https://www.amazon.de/s?k=iphone&crid=1OHYY6U6OGCK5&sprefix=ipho%2Caps%2C335&ref=nb_sb_noss_2" --proxy_api_key "your_api_key"

## Specify locale and Amazon URL (will default to 20 pages):
amazon_scraper --locale de --url "https://www.amazon.de/s?k=iphone&crid=1OHYY6U6OGCK5&sprefix=ipho%2Caps%2C335&ref=nb_sb_noss_2" --proxy_api_key "your_api_key"

## Specify review to scrape product(s) reviews:
amazon_scraper --keywords "watches" --proxy_api_key "your_api_key --review

Create Scraper API Account

Sign up for a Scraper API user account.

License

This project is licensed under the MIT License.

Copyright

Copyright © 2023 Finbarrs Oketunji. All Rights Reserved.