I recently reorganized my automation workflows and discovered a critical issue:

Many workflows appear unstable, but the problem actually comes from the "data acquisition" layer.
Whether you're farming airdrops or running web scrapers, the essence is the same:
Repeated requests from the same IP are easily identified, rate-limited, or even blocked outright.
In airdrops, this is called being flagged as a Sybil
In web scrapers, it means request failures or incomplete data
The core issue is:
👉 Being treated as the same source by the system
Later, I decomposed the entire workflow into a relatively simple layered structure:
Task Layer
Use automation tools or Agents for orchestration
Data Layer
Handled by dedicated scraping services
IP Layer
All using dynamic distribution
Here, I'd recommend BestProxy as a proxy solution—it's been working quite well so far
For the data layer, I'm now primarily using XCrawl, which already has several key capabilities built in:
Search: Returns structured search results directly
Map: Quickly lists all URLs across a site
Scrape: Extracts pages and converts to clean content
Crawl: Supports full-site recursive crawling
The key point is that it already integrates at the base layer:
Residential proxies + JS rendering + anti-blocking strategies
No need to piece these together yourself
Integration is quite straightforward; I use it directly in OpenClaw:
Register first to get an API Key
👉
Pass the XCrawl Skill documentation link to OpenClaw
👉
It automatically loads the corresponding capabilities
Then you can call them directly using natural language, like:
Search, scrape pages, or crawl entire sites
The whole process requires no code
Now the workflow looks like:
Agent initiates task
→ OpenClaw orchestrates
→ XCrawl processes scraping
→ Returns structured data
→ Continue with subsequent processing
No more blocking at:
IP getting banned or pages failing to scrape
The results are quite obvious:
Many workflows that wouldn't run before now execute stably
So if you're doing similar things:
Whether it's farming airdrops, managing multiple accounts, or running scrapers
You might first check:
👉 Is the problem in the data acquisition layer?
Often, fixing this layer is more effective than switching models