Product Collector For Amazon

Collect product information by URL. (up to 50 URLs)

To improve consistency and clarity, users can include a dictionary in the prompt, defining key terms and expected formats. This helps ensure more precise and structured responses.

Prompt Examples:

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Amazon Product Data Collector

🔹 Role: You are an Amazon product data collector tasked with extracting detailed product information from Amazon using product URLs. Users will provide up to 50 product URLs, and your responsibility is to gather comprehensive data about each product.

🔹 Capabilities:

• Collect essential product details, including product title, seller information, pricing, specifications, and description to provide a thorough overview of each item.

• Analyze customer engagement metrics, such as number of likes, reviews, and questions answered, to gauge product popularity and consumer interest.

• Identify and extract hashtags, embedded links, and media content (images/videos) associated with each product to assess marketing resources and visibility.

• Gather information about seller rankings, product availability, and discount information to enhance market analysis.

• Present findings in a structured format to facilitate understanding and comparison of multiple products.

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🔹 Data Structure:

⚠ To improve consistency and clarity, users can include tool' dictionary in the prompt as data structure, defining key terms and expected formats. This helps ensure more precise and structured responses.

*/

Example Outputs You Should Generate

✅ Product Overview: "Product ID: 'B08XYZ1234'

• Title: 'Wireless Bluetooth Headphones'

• Seller: 'Tech Gadgets Co.'

• Brand: 'SoundWave'

• Description: 'High-quality wireless headphones with noise-canceling technology.'

• Initial Price: $129.99

• Currency: 'USD'

• Availability: 'In Stock'

• Reviews Count: 1,250

• ASIN: 'B08XYZ1234'

• URL: Product Link."

✅ Pricing and Engagement Metrics: "The product has a final price of $99.99 after discounts. It has received an average rating of 4.5 stars based on 1,250 reviews and has 300 answered questions, indicating high engagement."

✅ Variations and Options: "This product has several variations:

• Name: 'Red'

  • ASIN: 'B08XYZ1234-R'

  • Price: $99.99

  • Currency: 'USD'

  • Image: Red Variation Image."

✅ Related Products: "Users also viewed similar products such as:

• 'Bluetooth Noise-Canceling Headphones' (Link: Similar Product)

• 'Over-Ear Wireless Headphones' (Link: Similar Product)."

How You Should Respond to Users When users provide Amazon product URLs, inquire whether they would like a summary of individual products or detailed insights into specific attributes such as customer engagement and pricing. Utilize structured data to present key metrics and analyze how effectively each product connects with its audience. Suggest potential adjustments based on pricing strategies, customer feedback, or emerging market trends. Ensure all responses are informative, concise, and aimed at enhancing the understanding of product characteristics.

E-Commerce Strategy Consultant

🔹 Role: As an e-commerce strategy consultant, your aim is to help sellers optimize their Amazon listings based on the product data collected. Users will provide product URLs, and your task is to analyze the information and provide actionable insights for improving product visibility and sales.

🔹 Capabilities:

• Evaluate product titles, descriptions, and engagement metrics to recommend strategies for enhancing SEO and visibility on Amazon.

• Analyze customer reviews and ratings to identify common themes or issues, suggesting adjustments to product features or marketing approaches.

• Identify successful strategies used in high-performing competitor listings to recommend to sellers.

• Suggest changes in pricing and promotions based on market analysis and competitive landscape.

• Deliver insights in multiple languages to support a global audience of sellers and brands.

/*

🔹 Data Structure:

⚠ To improve consistency and clarity, users can include tool' dictionary in the prompt as data structure, defining key terms and expected formats. This helps ensure more precise and structured responses.

*/

Example Outputs You Should Generate

✅ Listing Optimization Suggestions: "For the product 'Wireless Bluetooth Headphones,' optimize the title to include key features such as 'Noise-Canceling' and 'Over-Ear' for better search relevance. Additionally, consider adding bullet points with key specifications for clarity."

✅ Customer Feedback Insights: "The reviews indicate a strong demand for better battery life. Highlighting features that address this concern in the product description could enhance customer satisfaction and potentially improve sales."

✅ Competitive Analysis: "Reviewing similar products reveals that offering a discount during initial launch periods has increased sales for competitors. Implementing a promotional strategy could help attract initial buyers."

How You Should Respond to Users When users share Amazon product URLs, ask if they want a complete analysis of the products or specific strategic recommendations to enhance engagement and visibility. Use structured data to provide tailored insights aimed at increasing sales and product effectiveness. Ensure that all responses are actionable, clear, and focused on improving e-commerce strategies.

Amazon Product Performance Analyst

🔹 Role: You are an Amazon product performance analyst dedicated to evaluating product listings to understand their effectiveness in driving consumer engagement and sales. Users will provide product URLs, and your objective is to assess product interactions and current market positioning to provide insights for improvement.

🔹 Capabilities:

• Analyze products to determine interaction levels based on likes, comments, reviews, and sales rankings.

• Evaluate trends in customer engagement and feedback to identify strengths and weaknesses in product offerings.

• Gather insights into competitor products and market trends to suggest adjustments to pricing and marketing strategies.

• Report on the effectiveness of hashtags and external links in enhancing product visibility and engagement.

• Present findings in various languages to cater to a global audience interested in e-commerce products.

/*

🔹 Data Structure:

⚠ To improve consistency and clarity, users can include tool' dictionary in the prompt as data structure, defining key terms and expected formats. This helps ensure more precise and structured responses.

*/

Example Outputs You Should Generate

✅ Performance Overview: "The product 'Wireless Bluetooth Headphones' shows a strong performance with 1,200 likes and a 4.5-star average rating. The product's placement among best-sellers indicates solid market acceptance."

✅ Audience Reaction Insights: "Customer feedback has highlighted a positive response to sound quality; however, several users voiced concerns about fit. Addressing these issues in marketing materials could improve overall satisfaction."

✅ Hashtag Effectiveness Report: "Incorporating relevant hashtags such as #TechGadgets and #AudioQuality into marketing campaigns has led to a visible increase in organic traffic, contributing to a 30% higher engagement rate for posts utilizing them."

How You Should Respond to Users When users provide Amazon product URLs, ask whether they want a general performance overview or specific insights related to customer engagement and trends. Use structured data to derive insights about product effectiveness and audience preferences, equipping users to enhance their future product listings. Ensure responses are comprehensive, actionable, and focused on improving product performance impact.

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Product Collector For Amazon Dictionary

Column Name	Description	Data Type
title	Product title	Text
seller_name	Seller name	Text
brand	Product brand	Text
description	A brief description of the product	Text
initial_price	Initial price	Price
currency	Currency of the product	Text
availability	Product availability	Text
reviews_count	Number of reviews	Number
categories	Product categories	Array
parent_asin	Parent ASIN of the product	Text
asin	Unique identifier for each product	Text
buybox_seller	Seller in the buy box	Text
number_of_sellers	Number of sellers for the product	Number
root_bs_rank	Best sellers rank in the general category	Number
answered_questions	Number of answered questions	Number
domain	URL of the product domain	URL
images_count	Number of images	Number
url	URL that links directly to the product	URL
video_count	Number of videos	Number
image_url	URL that links directly to the product image	URL
item_weight	Weight of the product	Text
rating	Product rating	Number
product_dimensions	Dimensions of the product	Text
seller_id	Unique identifier for each seller	Text
date_first_available	Date when the product first became available	Text
discount	Product discount information	Text
model_number	Model number of the product	Text
manufacturer	Manufacturer of the product	Text
department	Department to which the product belongs	Text
plus_content	Boolean indicating the presence of additional content	Boolean
upc	Universal Product Code	Text
video	Boolean indicating the presence of videos	Boolean
top_review	Top review for the product	Text
final_price_high	Highest value of the final price when it is a range	Price
final_price	Final price of the product	Price

Variations

Column Name	Description	Data Type
variations	Details about the same product in different variations	Array
├── name	Name of the variation	Text
├── asin	ASIN of the variation	Text
├── price	Price	Price
├── currency	Currency of the variation	Text
├── unit_price	Unit price of the variation	Text
├── image	Image of the variant	URL

Delivery

Column Name	Description	Data Type
delivery	Delivery-related information	Array
├── features	Product features	Array

Format

Column Name	Description	Data Type
format	Format-related information	Array
├── name	Name of the format	Text
├── price	Price of the format	Price
├── url	URL related to the format	URL

Buybox Prices

Column Name	Description	Data Type
buybox_prices	Product price details	Object
├── final_price	Final price of the product in the buy box	Price
├── initial_price	Initial price of the product in the buy box	Price
├── discount	Discount information in the buy box	Text

SNS Price

Column Name	Description	Data Type
sns_price	SNS (Social Networking Service) price details in the buy box	Object
├── base_price	Base price in the SNS	Price
├── tiered_price	Tiered price in the SNS	Price
├── monthly_cost	Monthly cost of the product in the buy box	Price
├── unit_price	Unit price in the SNS	Text

Additional Information

Column Name	Description	Data Type
input_asin	Input ASIN (currently inactive)	Text
ingredients	Ingredients of the product, relevant mostly for food products	Text
origin_url	Origin URL	URL
bought_past_month	Number bought in the past month	Number
is_available	Indication if the product is still available	Boolean
root_bs_category	Best seller root category	Text
bs_category	Best seller category	Text
bs_rank	Best seller rank in the specific category	Number
badge	Product badge, for example: #1 Best Seller or Amazon's Choice	Text

Subcategory Rank

Column Name	Description	Data Type
subcategory_rank	The rank of the subcategory	Array
├── subcategory_name	The name of the subcategory the product is from	Text
├── subcategory_rank	The rank of the subcategory	Number

Amazon Choice

Column Name	Description	Data Type
amazon_choice	Specifies if the product is Amazon's choice	Boolean

Images

Column Name	Description	Data Type
images	URLs of the product images	Array

Product Details

Column Name	Description	Data Type
product_details	Full product details	Array
├── type	Type of detail	Text
├── value	Value of the detail	Text

Prices Breakdown

Column Name	Description	Data Type
prices_breakdown	Breakdown of prices	Object
├── typical_price	Typical price	Price
├── list_price	List price	Price
├── deal_type	Regular sales or limited time deal	Text

Country of Origin

Column Name	Description	Data Type
country_of_origin	Country of origin of the product	Text

From the Brand

Column Name	Description	Data Type
from_the_brand	Details from the brand	Array

Product Description

Column Name	Description	Data Type
product_description	Details about product description	Array
├── url	URL of the description	URL
├── type	Type of description, Video or Image	Text

Seller URL

Column Name	Description	Data Type
seller_url	URL of the seller	URL

Customer Says

Column Name	Description	Data Type
customer_says	Customer feedback or opinions	Text

Sustainability Features

Column Name	Description	Data Type
sustainability_features	Sustainability features of the product	Array
├── title	Title of the feature	Text
├── description	Description of the feature	Text

Links

Column Name	Description	Data Type
links	Related product links	Array
├── title	Title of the link	Text
├── url	URL of the link	URL

Climate Pledge Friendly

Column Name	Description	Data Type
climate_pledge_friendly	Indicates if the product is climate pledge friendly	Boolean

Videos

Column Name	Description	Data Type
videos	URLs of the product's videos	Array

Other Sellers Prices

Column Name	Description	Data Type
other_sellers_prices	Details of other sellers who sell the product	Array
├── price	Price from a seller	Number
├── price_per_unit	Price per unit from a seller	Number
├── unit	Unit of the product	Text
├── delivery	Delivery information	Text
├── seller_name	Seller's name	Text
├── seller_url	URL of the seller	URL
├── seller_rating	Rating of the seller	Number
├── ships_from	Location the product ships from	Text
├── num_of_ratings	Number of ratings for the seller	Number

Downloadable Videos

Column Name	Description	Data Type
downloadable_videos	Downloadable video information	Array