This is a great post PL, It's interesting to see many of your numbers match what I've found. These are some of the core economic considerations we ponder when trying to build the next-gen of tools to try and disrupt or break the economic constraints of scraping projects.
You probably saw at Extract conference a couple of the ways Zyte is trying to break the economics of building new scrapers with our AI-powered spiders, and optimising the economics of anti-ban setup and maintenance with Zyte API.
What would you say is the biggest cost to scrapers, while being the least value-adding to the end product of the data?
Hey please provide an example of the end result.
which dataset are you aimming to get from which websites?
i.e lowering the hours you work per websites...
thanks.
please respond
ori.keshet@solaredge.com
This is a great post PL, It's interesting to see many of your numbers match what I've found. These are some of the core economic considerations we ponder when trying to build the next-gen of tools to try and disrupt or break the economic constraints of scraping projects.
You probably saw at Extract conference a couple of the ways Zyte is trying to break the economics of building new scrapers with our AI-powered spiders, and optimising the economics of anti-ban setup and maintenance with Zyte API.
What would you say is the biggest cost to scrapers, while being the least value-adding to the end product of the data?