Resilient Crawling Strategies for High-Volume Data Tasks
When we talk about running spiders and automated scripts, we generally imply that the code would be released in a cloud-based server. It assists you run code on a Linux or a Windows server which is handled and maintained by their team at AWS.
You are charged just for the uptime and you can stop your server in case you plan not to use it for a long time. Establishing your scraping facilities on the cloud can prove to be very cheap and effective in the long run, but you will require cloud architects to set things up and look after upgrading them or making changes to them as and when required.
choosing the right proxyIn case you are scraping high-res information such as images or videos which face GBs, you can try AWS-S3, which is the cheapest data-storage option on the marketplace today. There are more pricey services that you can choose depending upon how regularly you desire to access the data. In case you are drawing out specific data-points, you can save the information in a database such as Postgres in AWS-RDS.
choosing the right proxyWhen scraping a single website, you can run the script from your laptop and finish the job. However in case you are trying to crawl data from countless web-pages of a single website every 2nd, you will be blacklisted and obstructed from the site in less than minutes.
