Chrome Webstore Review Scraping

we are looking for a Python developer to create a scraper for Chrome Webstore Need to scrap only extension, (Skip apps and themes) ------------------------------------------ What we need to Scrap ------------------------------------------ It will scrap and save reviews with the - Extension's name - Extension's ID, - Avatar, - Username,  - Date,  - Star rating, - Review content,  - Reply content if any ------------------------------------------ API ------------------------------------------ The script will return reviews and other saved data via API regarding extension ID 1. by default, Data must be arranged according to the data, (new to old) 2. Filter by rating, height to low,  (show only x rating reviews)  (per extension reviews) ------------------------------------------ API Structure ------------------------------------------ - API/extensions/{extension_id}     - author_name     - author_avatar_url     - date     - rating     - comment     - replies[]         - author_name         - author_avatar_url         - date         - rating         - comment         - Filters and sorting can be applied to this route (rating, date) - Pagination can be applied to this route (offset, limit)  ------------------------------------------ General requirements ------------------------------------------ - It must have multiple threads and the fastest scraping - Need a basic admin panel where we can search extensions along with their name, id, ( we will provide HTML design ) - Add proxies input for future-proofing, we can enable disable route requests proxies from the admin panel - Add a way to create API keys and allow hosts that can use the API - Use multiple browser tabs/sessions for scraping - Create an error log for each scarping session if any item returns a network or other error - Code must be fully commented and documented, so we can easily change regex if chrome webstore change anything from their end