Hi Uberneo, yes, we exactly use it for HTTP, but also others. here is a 20 lines example to extract from a lot of HTTPs to elastic search. https://github.com/eBay/parallec-samples/blob/master/sample-...

Parallec has a special super convenient response context let you pass in/out any object when handling the response. Now you can conduct scalable API calls, then pass aggregated data anywhere to elastic search, kafka, MongoDB, graphite, memcached, etc.

Python has global interpreter lock so if it is computational expensive, you have to use multi-process to use more than 1 core. Parallec can let the handler to run your onComplete() function either in worker before aggregation (parallel) or in manager after aggregation