Use case · data collection

Quality data. Half the cost.

Public data collection usually means renting application servers in one place and residential proxies from someone else. Salad Container Engine puts both in one platform: edge compute on nodes with unique residential IP addresses in nearly 200 countries.

Collection containers on residential nodes in four countries, converging into one pipeline and a dataset
1M+unique residential IPs
190+countries for localized collection
53%saved by one customer on a $192,700 monthly bill
30,000images tagged per dollar for post-processing, GTX 1650

Brand protection

Collect local metadata at scale to spoof-proof your brand in every market.

IP protection

Gather global insight into potential infringement from authentic regional vantage points.

Headless apps

Run headless browsers and collectors on edge-processing nodes next to the target.

The problem

Residential IPs mean managing two stacks.

Teams that need residential addresses source infrastructure and proxy services separately, then pay egress to move data between them. Cost and complexity land on developers, DevOps, and IT.

The solution

Dedicated edge nodes with unique residential IPs.

Deploy collection and processing applications together with standard container workflows. Every node has dedicated CPU/GPU processing and a unique residential IP, so business logic runs next to the endpoint with no proxy hop and no reseller markup.

Before and after
MonthlyCloud servers + proxy resellerWith Salad
Application servers (×5,000)$17,500$16,850
Network usage (73 TB)$175,000$73,000
Total$192,700$89,850
Savings53.4%

Customer example: AWS Lightsail plus a residential proxy reseller, replaced with Salad Container Engine.

Collect from everywhere. Pay for one platform.