Amazon Scraper to WordPress Publisher

This is an automated system that does the following:

1. Scrapes product data and reviews from Amazon based on a defined search.
2. Collects product information and reviews.
3. Uses ChatGPT to write an article for each product.
4. Publishes each article to a WordPress site.

The system uses Oxylabs for scraping, OpenAI's GPT-4 for generating the articles, and WordPress's REST API for publishing the articles.

Setup and Launch

To set up and launch the system:

1. Fill out the config_sample.ini file with the appropriate details, then rename it to config.ini.
2. Fill out the instructions.ini file with the desired parameters.
3. Run the main.py file.

Detailed explanations for config.ini and instructions.ini are provided below.

config.ini

This file contains the configuration for the Oxylabs, OpenAI, and WordPress settings:

[OXYLABS]
user = HERE YOUR USERNAME
password = HERE YOUR PASSWORD
amazondomain = it

[OPENAI]
apikey = YOUR API KEY HERE
lang = italiano

[WORDPRESS]
admin = YOUR WORDPRESS USER
password = YOUR WORDPRESS APPLICATION PASSWORD
url = https://www.yoursite.com
category_id = 1

OXYLABS: Enter your Oxylabs username and password. amazondomain is the Amazon website to scrape from (in this case, it for Amazon Italy). OPENAI: Enter your OpenAI API key. The lang field is the language for the GPT-4 generated articles. WORDPRESS: Enter your WordPress username and application password. url is your WordPress site URL. category_id is the WordPress category where the articles will be published.

instructions.ini

This file contains the instructions for the Amazon scraping:

[GENERAL]
query = zaini da trail
start_page = 1
pages = 2
category = 3102251031
products_limit = 3

query: This is the search term that will be used on Amazon. start_page: This is the starting page for the Amazon search results. pages: This is the number of search result pages to scrape from Amazon. category: This is the Amazon node to scrape. products_limit: This is the maximum number of products to scrape. After completing these setup steps, run main.py to start the scraping, article generation, and publication process.