Scalable Scraping Workflows for High-Volume Data Tasks
When we discuss running spiders and automated scripts, we normally mean that the code would be deployed in a cloud-based server. Among the most typically used and cheap solutions is AWS-EC2 by Amazon. It helps you run code on a Linux or a Windows server which is managed and maintained by their group at AWS.
You are charged only for the uptime and you can stop your server in case you plan not to utilize it for a long time. Setting up your scraping infrastructure on the cloud can show to be very cheap and efficient in the long run, but you will require cloud designers to set things up and take care of updating them or making changes to them as and when needed.
proxy serviceIn case you are scraping high-res data such as images or videos which face GBs, you can try AWS-S3, which is the most affordable data-storage solution on the marketplace today. There are more pricey options that you can choose depending on how regularly you want to access the information. In case you are extracting particular data-points, you can store the data in a database such as Postgres in AWS-RDS.
proxy serviceWhen scraping a single website, you can run the script from your laptop and do the job. But in case you are attempting to crawl information from thousands of web-pages of a single site every second, you will be blacklisted and obstructed from the website in less than minutes.
