Scrape Data from Shopee

This is a submission for the Bright Data Web Scraping Challenge: Scrape Data from Complex, Interactive Websites

What I Built

My idea is to create a small project to help people selling on the Shopee e-commerce platform, especially those who have limited time to check products and messages regularly. This tool will allow them to automatically push their products to increase visibility on Shopee’s search page instead of doing it manually. It will also automatically check for unanswered messages after 5 minutes, enhancing user experience and the shop's credibility.

Additionally, I plan to include some advanced features:

Automatically push reminder messages to a Telegram group and suggest AI-generated replies for customer inquiries.
Automatically send notifications about new orders to a Telegram group.
Automatically optimize keywords for SEO to rank higher on Shopee’s search results.
And much more!

Demo

Github Demo Link
Here are some screenshots:

How I Used Bright Data

I have used selenium.webdriver.chromium.remote_connection with BrightData Scraping Browser running as a service. Currently, I have completed the seller-side features. For the buyer-side processing, I am facing some issues with antibot mechanisms and captchas, and I am investigating solutions to resolve these challenges.
And unfortunately, I have very little time to implement this idea as I joined late and only received the credit from Noah Kalson two days ago.

Does my submission qualify for additional prompts?

Yes, my submission qualifies for additional prompts. Here's why:
Innovation: The project introduces an AI-assisted tool to optimize Shopee sellers' daily operations, such as automatic product pushing, improving visibility, and enhancing user response with AI.
Advanced Features: It includes features like integrating Telegram reminders, suggesting AI-powered replies, and SEO keyword optimization for Shopee search ranking.
Social Impact: By helping small businesses on Shopee, this project has the potential to improve sales and operational efficiency.

Thank you

I would like to sincerely thank the BrightData team for organizing this exciting competition. This challenge not only provides an opportunity to showcase our creativity and technical skills but also motivates developers to tackle real-world problems in innovative ways.

The support and resources from your team have been incredibly valuable, and I truly appreciate the effort you’ve put into making this competition a great experience for all participants.

Thank you for inspiring us to push the boundaries of what’s possible with web scraping technology!