Amazon Product Scraping Bot + Filterable Web Application

Project Plan: Amazon Product Scraping and Filterable Web Application

1. Bot Development Instructions

Objective: Create a bot that will scrape all the products on Amazon.com and amazon country extentions like ( ca.mx,jp,nl,ukau,ect,ect) , gather prices, and also check the prices of the same products on other Amazon country sites (Amazon.ca, Amazon.mx, Amazon.au, etc.).

Data Source: The bot will collect the following data from Amazon.com and other country sites:

ASIN Number
Category
Brand
Seller
Fulfillment ( shipping from amazon or from own depot )
Review Count
Video Available? ( is there a video in product images )
Images in From the Brand and Product Description? ( is there a video or image in from Brand or Product description areas - that shows if the product is brand and licenced or not )
Multiple Sellers? ( how many sellers are selling this product? )
Prices (Amazon.com and Other Countries) US Price, CA Price and other country prices lists in same raw to analyse in same currency with Currency Conversion


Avoiding Detection and Blocking: ( what we should do not to block scraping amazon ? ) - we should do every possibility not to get blocked by amazon.

Slow and Regular Scraping:
Reduce Request Frequency: Keep the request rate low, e.g., by sending requests every few seconds.
Random Delays: Implement random intervals between requests to avoid a regular pattern.
IP Address and Proxies:
Use Proxies: Utilize proxy servers to mask the bot's IP address.
IP Rotation: Regularly change proxy IP addresses to avoid detection.
User-Agent and Headers:
Change User-Agent: Use different User-Agent headers to mimic various browsers.
Proper Headers: Send headers similar to those used by actual browsers.
Handling CAPTCHA:
CAPTCHA Solutions: Use CAPTCHA solving services if needed.
Simulate Browser Behavior:
JavaScript Processing: Ensure the bot can process JavaScript.
Interaction Simulation: Simulate page scrolling, clicking, and other interactions.
Effective Error Management:
Error Handling: Implement logic to pause requests and change IPs if detection occurs.
Regular Monitoring and Updates:
Monitor Performance: Regularly check the bot’s performance and Amazon’s blocking patterns.
Update Bot: Keep the bot updated to adapt to changes in Amazon’s detection algorithms.




2. Web Application Development Instructions

Objective: Develop a tiny a web application that displays data collected by the bot and allows price comparison with filters.

Features:

Data Display: Interface to list and filter products collected by the bot.

Price Comparison:
Display prices from Amazon.com and other countries in the same currency.
Allow users to compare prices across different countries.
Filtering: Enable filtering of products based on predefined criteria.
Export Results: Allow filtered results to be downloaded in Excel or CSV format.
Currency Management:

** web application will scrape the brand name if its licenced brand or not. ( To check if a brand is licensed, we can search brand databases to verify its licensing status.)

** Save and manage filters option to Add options to save, load, edit, and delete filters. Simple UI for personal use.

**Currency API Integration: Integrate a currency API to convert prices to the same currency.
Up-to-date Rates: Ensure currency rates are updated daily.

3. Technical Requirements
Bot: php, Python + Selenium or Scrapy, with currency API integration.
Web Application: Django or Node.js + Express.js, with currency conversion and price comparison features.
Database: MySQL, MongoDB or any database

4. Testing and Delivery
Perform testing to ensure the bot and web application function correctly.
Verify that the price comparison feature works and currency conversion is accurate.
You can present this detailed plan to the programmer to get quotes and timelines for the project.