automated ec2 python daily web crawl & scrape. starts & stops ec2 programatically. aurora db.

please read this in detail. answer the 11 questions below fully and clearly. do not say anything else. we've been getting a lot of spam and need your response to be as concise as possible. responses that violate this request will be ignored. we need a service written in python to crawl through urls on two web domains, extracting data found in json objects on the default page source. this needs to crawl thousands of instances of around 8 unique web pages. data will be saved in a db with about 5 tables with about 10 columns each. this needs to be completed each day. a scheduler should start an ec2 instance and the code should begin executing. when the crawl is finished for the day, the ec2 instance should be terminated. also, if the IP address ever gets blocked by the website being crawled, then that ec2 instance should be shut down, and a new one started (with a unique IP address) all required data is held in the page source accessible with a simple curl or GET of a url. no clicking is necessary for this web scraping project. QUESTIONS - YOU MUST ANSWER ALL. please number your answers for clarity 1. we need to use the aws serverless sql-based db. what is it called? 2. how would you start the ec2 instances automatically each day? 3. how would you terminate the ec2 instances when the crawl was completed? 4. visit [login to view URL] -- the name, location, date, price, and age limit for this event can all be found in a single json object in the html returned by this url. what is this json value? copy and paste this entire json object in your response. 5. how would you programmatically extract this json from the url? 6. how would you programmatically extract this json from the url if there were multiple similar json objects on the page? 7. when would you use dynamodb instead of aurora? 8. what is clean code? 9. what is dry code? 10. how long would this project take you? 11. how much $ would you require for this?