Goods, Items, Inventory & Essentials WebAPP (https://getiteg.com)

Goal

The goal is to:

  1. Leverage ChatGPT to generate product descriptions, titles, SEO tags, marketing copy, and strategies.
  2. Utilize the Etsy API to manage products, analyze sales data, and adjust pricing or inventory based on demand.
  3. Continuously refine the process to improve profitability.

Plan for the App

  1. Input:
    • A new product idea or existing Etsy product.
    • User-provided goals (e.g., increase sales, improve visibility).
  2. Process:
    • Use ChatGPT to analyze market trends, generate optimized SEO keywords, and write engaging product descriptions.
    • Use the Etsy API to fetch and analyze sales data and update listings (titles, descriptions, tags, and pricing).
  3. Output:
    • Automated updates to Etsy listings.
    • Recommendations for marketing and product improvements.

Requirements

Install the necessary libraries:

pip install openai requests

You’ll need:

Code Example


import openai
import requests
import json

# Set your API keys
OPENAI_API_KEY = "your_openai_api_key"
ETSY_API_KEY = "your_etsy_api_key"
ETSY_SHOP_ID = "your_shop_id"  # Replace with your Etsy shop ID

# Set API endpoints
ETSY_BASE_URL = "https://openapi.etsy.com/v3/application"
ETSY_LISTINGS_URL = f"{ETSY_BASE_URL}/shops/{ETSY_SHOP_ID}/listings"

# OpenAI API configuration
openai.api_key = OPENAI_API_KEY

def generate_product_description(product_name, product_details):
    """Use ChatGPT to generate a product description."""
    prompt = f'''
    Write an engaging and SEO-optimized Etsy product description for the following:
    - Product Name: {product_name}
    - Details: {product_details}
    '''
    response = openai.Completion.create(
        engine="text-davinci-003",
        prompt=prompt,
        max_tokens=250,
        temperature=0.7
    )
    return response["choices"][0]["text"].strip()

def fetch_etsy_listings():
    """Fetch active Etsy listings."""
    headers = {"x-api-key": ETSY_API_KEY}
    response = requests.get(ETSY_LISTINGS_URL, headers=headers)
    if response.status_code == 200:
        return response.json()["results"]
    else:
        print(f"Error: {response.status_code}, {response.text}")
        return []

def update_etsy_listing(listing_id, title=None, description=None, price=None, tags=None):
    """Update an Etsy listing."""
    headers = {
        "x-api-key": ETSY_API_KEY,
        "Content-Type": "application/json"
    }
    data = {
        "title": title,
        "description": description,
        "price": price,
        "tags": tags
    }
    # Remove None values
    data = {k: v for k, v in data.items() if v is not None}
    response = requests.put(f"{ETSY_LISTINGS_URL}/{listing_id}", headers=headers, json=data)
    if response.status_code == 200:
        print(f"Successfully updated listing {listing_id}")
    else:
        print(f"Error: {response.status_code}, {response.text}")

def optimize_and_update():
    """Fetch, optimize, and update Etsy listings."""
    listings = fetch_etsy_listings()
    for listing in listings:
        # Extract details for ChatGPT
        product_name = listing["title"]
        product_details = listing.get("description", "")
        
        # Generate new description and tags
        new_description = generate_product_description(product_name, product_details)
        new_tags = ["customized", "unique", "handmade"]  # Add ChatGPT-generated tags here

        # Update the listing
        update_etsy_listing(
            listing_id=listing["listing_id"],
            description=new_description,
            tags=new_tags
        )

if __name__ == "__main__":
    # Fetch listings and optimize
    optimize_and_update()

How It Works

  1. Fetch Listings: Uses the Etsy API to fetch all active listings in your shop.
  2. Generate Optimized Content: ChatGPT generates a fresh, SEO-friendly product description.
  3. Update Listings: The Etsy API updates each listing with the optimized content.

Future Improvements